Conservapedia - User contributions [en]

Mystery:Young Hollywood Breast Cancer Victims

2008-05-13T23:47:21Z

GaryK: cites needed

The average age of [[diagnosis]] of [[breast cancer]] is 64 years old.<ref>http://breastcancer.lifetips.com/cat/61849/breast-cancer-diagnosis/</ref>

In the [[Hollywood]] culture, however, there have been many tragic cases of breast cancer at far younger ages than expected:

* Australian soap opera star Belinda Emmett, who played in "Home and Away," was diagnosed with breast cancer at age 24.<ref>http://www.inthenews.co.uk/news/entertainment/tv/home-and-away-actress-dies-breast-cancer-$457408.htm</ref>
* American singer Minnie Riperton was diagnosed with breast cancer at age 28.<ref>http://www.imdb.com/name/nm0727986/</ref>
* Singer Anastacia was diagnosed with breast cancer at age 29.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>
* Colombian-American singer Soraya was diagnosed with breast cancer at age 31.<ref>http://www.usatoday.com/life/people/2006-05-11-soraya-obit_x.htm?csp=27</ref>
* [[British]] Aisha Bicknell, daughter of actress Rita Tushingham, was diagnosed with breast cancer at age 33.<ref>http://www.telegraph.co.uk/health/main.jhtml?view=DETAILS&grid=&xml=/health/2006/08/21/hknack21.xml</ref>
* Puerto Rican actress Adamari López was diagnosed with breast cancer at age 34.<ref>http://www.imdb.com/name/nm0529982/bio</ref>
* American actress Ann Jillian was diagnosed with breast cancer at age 35.<ref>http://www.meredy.com/annjillian/</ref>
* [[British]] actress Amanda Mealing was diagnosed with breast cancer at age 35.<ref>http://www.holby.tv/db/index.php?id=41,1266,0,0,1,0</ref>
* American actress Danitra Vance was diagnosed with breast cancer at age 36.<ref>http://www.imdb.com/name/nm0888503/</ref>
* Australian pop star Kylie Minogue was diagnosed with breast cancer at age 36.<ref>http://www.cbsnews.com/stories/2005/05/17/entertainment/main695716.shtml</ref>
* American actress Oni Faida Lampley was diagnosed with breast cancer at age 37.<ref>http://www.answers.com/topic/oni-faida-lampley</ref>
* American actress Kate Jackson was diagnosed with breast cancer at age 39.
* American actress Jill Eikenberry was diagnosed with breast cancer at age 39.<ref>http://www.holby.tv/db/index.php?id=41,1266,0,0,1,0</ref>
* American actress Katy Cusack died from breast cancer at age 41, and was probably diagnosed with it in her late 30s.<ref>http://www.carolsutton.net/pink/famous_women_died_brcancer.html</ref><ref>http://www.austinchronicle.com/issues/vol15/issue16/arts.articulations.html</ref>
* American actress Cynthia Nixon was diagnosed with breast cancer at age 40.<ref>http://www.medicalnewstoday.com/articles/104294.php</ref><ref>http://www.imdb.com/name/nm0633223/</ref>
* American actress Edie Falco was diagnosed with breast cancer at age 40.<ref>http://www.imdb.com/name/nm0004908/bio</ref>
* Singer Melissa Etheridge was diagnosed with breast cancer at age 43.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>
* Norwegian actress and nude model Julie Ege was diagnosed with breast cancer at age 43.<ref>http://www.imdb.com/name/nm0250774/bio</ref>
* American actress [[Shirley Temple]] was diagnosed with breast cancer at age 44.<ref>http://www.imdb.com/name/nm0000073/bio</ref>
* Singers [[Olivia Newton-John]] and [[Sheryl Crow]] were each diagnosed with breast cancer at age 44.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>

(add more)

== Risk by age ==

Here is the [[NCI]]'s published levels of risk by age in the [[United States]] (the risk is lower in other countries):<ref>http://www.mdanderson.org/topics/ethnicity/display.cfm?id=ffcc95a9-a03d-11d4-80fa00508b603a14&method=displayfull&pn=c1128f6f-4656-410d-96fa274b12a51d9d</ref>

By age 25: 1 in 19,608
 By age 30: 1 in 2,525
 By age 35: 1 in 622
 By age 40: 1 in 217
 By age 45: 1 in 93
 By age 50: 1 in 50
 By age 55: 1 in 33
 By age 60: 1 in 24
 By age 65: 1 in 17
 By age 70: 1 in 14
 By age 75: 1 in 11
 By age 80: 1 in 10
 By age 85: 1 in 9
 Ever: 1 in 8 (more accurately, 1 in 7.5 in the [[U.S.]])

== Analysis ==

Personal health is generally kept confidential, and there are financial reasons for one not to publicize his or her health problems. The disclosure can cause a loss in jobs or income. This is particularly true for [[Hollywood]] stars who rely on attractiveness and sex appeal. Michael J. Fox, for example, understandably kept his [[Parkinson's disease]] confidential for as long as he could.

But cancellation of appearances for health reasons begs explanations, and the population of [[Hollywood]] stars likely to disclose medical conditions will roughly be the size of those who are active in appearances, shows, movies, etc.

A rough estimate of this population is as follows. In the music world, perhaps there have been 50 women who are active, well-known performers willing to disclose a diagnosis of breast cancer{{fact}}. In the television and movie industry, perhaps there are 450 who fall into that category{{fact}}. The total population from which the above names are drawn is perhaps 500, depending on age{{fact}}.

The list of breast cancers above will grow, but already it is plainly way above the expected occurrence of the disease. For example, there are likely no more than 500 [[Hollywood]] performers under age 30 who would publicly disclose a condition of breast cancer{{fact}}, yet 3 developed breast cancer. But The typical incidence of that disease is only 2 out of 5000. The incidence in [[Hollywood]] appears to be more than 10 times that of the general population. If the population from which the above sample is drawn is twice as high, the incidence in [[Hollywood]] would still be more than 5 times the rate in the general population.

There is likely no more than 1000 in the population of [[Hollywood]] types under age 35 who would have publicly disclose breast cancer{fact}}. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group.

(a start - improve)

== References ==

<references/>
[[Category:Mystery]]

Talk:Mystery:Why is Phonics Taught in the UK but not the US?

2008-05-13T18:36:44Z

GaryK: thanks Fox for providing an intelligent debate

==Illiterate democrat votes==
Can I see the source that states that the Dems rely heavily on illiterate votes?

Even Fox News will tell you that Obama gets most of his support from the well-educated
and younger, upwardly mobile, voters.
[[User:AdenJ|AdenJ]] 01:11, 11 May 2008 (EDT)

: AdenJ, you're simply wrong when you claim that Obama "gets most of his support from the well-educated ... voters." Overall, Dems rely on illiterate voters more than Republicans do.--[[User:Aschlafly|Aschlafly]] 20:51, 11 May 2008 (EDT)

Aschlafly - I'll direct your attention to this, from Fox News...
"Obama, who consistently leads Clinton among highly educated and wealthy voters, has tried to make up ground with middle-class America, where Clinton is strong. He has managed to score several wins in rural states like Idaho, Kansas and North Dakota."
There is plently more evidence of this. Can you show it is wrong?
[[User:AdenJ|AdenJ]] 05:32, 12 May 2008 (EDT)

::Not according to [http://www.ccsu.edu/AMLC06/Political_Literacy.htm this], which says the opposite in the 2004 election. Perhaps you have a source that says otherwise? [[User:Murray|Murray]] 20:59, 11 May 2008 (EDT)
::I guess there is no source that says that "Dems rely on illiterate voters more than Republicans do". I'm surprised. [[User:Murray|Murray]] 20:43, 12 May 2008 (EDT)

::: Murray, your cite is meaningless and you seem to be playing the "you haven't proven it yet" game again. Pull up some meaningful illiteracy data and we can both take a look, and I doubt either of us will be surprised by its implications for party support. A scan of the internet reveals independent observations that illiterate voters tend to vote Democratic. Indeed, no one seems to seriously doubt it.--[[User:Aschlafly|Aschlafly]] 23:22, 12 May 2008 (EDT)

:::::So you're (again) suggesting that '''"a scan of the internet reveals independent observations that....no one seems to seriously doubt it"'''. You're really, seriously, considering that this statement reflects adequate research for your theory? You're a lawyer, I believe? I'm just asking, because, you know, you can find web pages on "the internet" that claim that George Bush and Dick Cheney planned the attack on the WTC on 9/11. It's not a reliable source, "the internet". What would a judge think if you showed up in court and presented your case that "the defendant is guilty because a bunch of people on the internet said so"? Is that acceptable evidence? What are your sources for your theory? [[User:GaryK|GaryK]] 14:32, 13 May 2008 (EDT)

:::: Does http://www.ccsu.edu/AMLC06/Political_Literacy.htm work for meaningful data? You can also examine the methodology of the study (something very useful in making any claim). On the other hand, you are making the claim above and as I understand it, "the burden is on the person who makes the claim that something happened to support."[http://www.conservapedia.com/index.php?title=Talk:Wikipedia&diff=291546&oldid=291536] --[[User:Rutm|Rutm]] 13:59, 13 May 2008 (EDT)

:::::[http://abcnews.go.com/WN/LegalCenter/story?id=4342759&page=1 ''Out of the Shadows, Overcoming Illiteracy'']ABC News (26 Feb 2008): "In nearby Grand Rapids, a city of 184,000, one out of every five residents has difficulty reading or cannot read at all." The interesting thing about that very significant illiteracy rate is that despite being surrounded by traditional conservative strongholds, the city itself is surprisingly Democratic: "the city tends to elect Democrats. Both of its representatives in the Michigan State House of Representatives are Democrats, and in the past two presidential elections Democratic candidates Al Gore and John Kerry won the majority of votes in the city of Grand Rapids." [http://en.wikipedia.org/wiki/Grand_Rapids%2C_Michigan#Government_and_politics] Okay, so that's just one example, hardly enough to convince the skeptics, but I'm sure there are many more. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 14:21, 13 May 2008 (EDT)

::::::This is great Fox. Thanks for at least providing some sources. So we have two sources that both look pretty good, one says one thing and the other says the opposite. So we indeed have something worth researching. But let's at least try and let Fox and others lead the research, rather than ASchlafly - at least Fox has the dignity to provide some backup for the theory. [[User:GaryK|GaryK]] 14:36, 13 May 2008 (EDT)

== UK ==
"The Labour Party is not struggling and does not fear losing power". Do you have any idea about UK politics? Did you see the recent election results where Labour came in third? Have you read any UK newspapers or watched any UK news reports? All of them would contradict the notion that the Labour Party is not struggling. [[User:Henry8th|Henry8th]] 08:14, 11 May 2008 (EDT)

: That's a ''very'' recent development. This entry takes a longer frame of reference. The [[Labour Party]] has (predictably) held commanding power in the [[U.K.]] ever since sweeping [[gun control]] was imposed there in the mid-1990s.--[[User:Aschlafly|Aschlafly]] 09:30, 11 May 2008 (EDT)

== US Phonics ==

Most school systems in the U.S. do teach phonics - I was taught phonics in Texas, where the school districts are allowed to choose curriculum on an independent basis. Other school districts in the same state did not. The only state I've heard of that unilaterally does not teach phonics is South Carolina, though there may be others. [[User:SBaynham|SBaynham]] 09:22, 11 May 2008 (EDT)

: Most [[public school]]s in the [[U.S.]] do not teach [[phonics]], and I'm skeptical whether you learned from real [[phonics]]. Often a "look and say" approach will be labeled phonics by schools to stop parental complaints.--[[User:Aschlafly|Aschlafly]] 09:31, 11 May 2008 (EDT)

:: Look and say, teaching the "shape" of words, is the only other commonly-applied theory in the United States, so I am quite aware of the difference, and I was taught phonics. As I said, I have a friend in South Carolina who attended a school that taught the word shape method. Your understanding of this issue is quite contrary to reality: her teachers conspired to teach phonics against administration demands (which stemmed from parent demands), and a teacher was fired when they were found out. I haven't asked extensively about who was taught what, but it was always my understanding that South Carolina's aversion to phonics was closely related to their 49th in the nation status in education. [[User:SBaynham|SBaynham]] 22:25, 12 May 2008 (EDT)

:::It is perhaps worth noting that there are many attempts to introduce the elements of synthetic phonics into whole language/psycholinguistics teaching - but they are so very different in their application that these are just as harmful to a child's progress as having no synthetic phonics teaching at all. Similarly, if a teacher uses a synthetic phonics approach, but her classroom library has books only written for a psycholinguistics approach, the children are being deprived of the phonically-written/aware books that they need for this method to be successful. Like any other method, poorly-taught phonics will lead to poor learning outcomes. But I'm digressing. The point here is that synthetic phonics has not been mandated at a federal level and although it is supposed to be taught as part of the Reading First initiative, it still isn't - for most schools - the main method: psycholinguistics ''is''. I admit I'm not up to date on current US legislation, but I do know that back in 1999 a Sense of the Congress Resolution, introduced by Congressman David McIntosh of Indiana, "Expressing the Sense of Congress that direct systematic phonics instruction should be used in all schools," received 224 in favor and 193 opposed, but because a two thirds majority vote was required for passage of bills brought up under suspension, the resolution was not agreed to. From what I can gather, California, Texas, North Carolina, Wisconsin, Florida, Virginia, Maryland, Massachusetts and Ohio now have State legislation requiring "direct phonics instruction as a first step in teaching children to read," but in practice implementation of synthetic phonics is actually being strenuously resisted by the "educators", who are actually simply repackaging psycholinguistics under a different name, eg California's "Reading Recovery" scheme, which has begun to spread to many other states. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 05:46, 13 May 2008 (EDT)

::::This is interesting, but as I mentioned before, I was taught in one of the states with a state mandate, and it worked quite well. In my experience, teachers have been all too eager to apply phonics. My experience may not be completely endemic, but unless my experience differs with the vast majority of public-school-educated children in this country, I do think that it is enough to state with some degree of certainty that phonics is alive and well, and any combat between phonics and alternate methods is simply an academic debate between two alternate schools of thought. It is not a microcosm for liberal versus conservative, or any guerrilla war being fought by the teacher's union. [[User:SBaynham|SBaynham]] 07:12, 13 May 2008 (EDT)

:::::It would seem that it ''is'' - the proponents of psycholinguistics cited here, the article page and the phonics page, all include the gobsmacking objection that advocates of phonics are advocates of conservatism/the Christian right. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 07:20, 13 May 2008 (EDT)

== Constance Weaver ==
[http://eric.ed.gov/ERICWebPortal/custom/portlets/recordDetails/detailmini.jsp?_nfpb=true&_&ERICExtSearch_SearchValue_0=ED367962&ERICExtSearch_SearchType_0=no&accno=ED367962 Here is a link] to the Education Resources Information Center page about the teachers' text book, ''Reading Process and Practice, From Socio-Psycholinguistics to Whole Language'' by Constance Weaver. It looks fairly innocuous, doesn't it? Weaver, as you can see, is an advocate of "look-say" over phonics. ERIC, it should be borne in mind, is the organization used by "education researchers, teachers, librarians, administrators, education policymakers, instructors and students in teacher-preparation programs". What that page doesn't tell you is what Weaver has to say about phonics. Those researchers, teachers policymakers, etc are all informed - in the textbook! - that phonics is nothing short of a "far right plot... to promote a religious agenda" and inculcate "docility and obedience on the part of the lower classes." When cuckoos like that are allowed to write the textbooks, and "policymakers" read them too, it should come as no surprise that American children are being denied the head start in literacy that phonics provides. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 07:10, 12 May 2008 (EDT)

: Ah, there's the answer: [[liberals]] claim that [[phonics]] is a "far right plot" and thereby block it in the [[U.S.]]--[[User:Aschlafly|Aschlafly]] 08:58, 12 May 2008 (EDT)

::One of the [http://www.syntheticphonics.com/articles/Sound%20Sense.pdf external links] from the [[Phonics]] page is to an interesting article which states: "In many [British] teachers minds, phonics equals right-wing, traditional, drill and skill, boring, anti-child-centred Gradgrind education. Over in the United States, phonics is portrayed as being closely aligned to the Christian fundamentalist right. The No child left behind act mandated phonics. Hell, Dubya loves phonics, so it follows that all right-minded progressive folks need to be against them." [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 10:20, 12 May 2008 (EDT)

::: Superb analysis, Fox. I'm going to put some of your info in the entry on [[anti-conservatives]], which is about people who take a position simply because it is oppose the [[conservative]] position.--[[User:Aschlafly|Aschlafly]] 08:19, 13 May 2008 (EDT)

==Follow the money==
Robert W. Sweet, Jr., the President of the (US based) National Right to Read Foundation pointed out back in the late 90s that psycholinguistics teaching is big business, and has been since the 1930's when the basal reading series for elementary schools were introduced. Every year the publishing companies compete for the adoption of reading programs in states like California and Texas where millions of dollars of expendable "look-say" workbooks are purchased every year. ''Dick and Jane'', ''Alice and Jerry'', ''Janet and Mark'', ''Danny and Sue'', ''Tom and Betty'' are cash cows just like ''Barbie'' and ''Ken''. Quoting Sweet: "The 1986 National Advisory Council on Adult Education report, "Illiteracy in America" cites several examples of how the cost of reading instruction can be reduced, while at the same time improving reading scores:

"In her book, "Programmed Illiteracy in Our Schools," [Mary Johnson] says that: 'The workbooks to a sight method ['look and say'] basal series soon become superfluous whenever phonics is taught by a direct method... the annual expenditure on workbooks was more than four times greater than that on hardcover readers [used in a phonics-first program]. (The look-say workbooks have to be replaced each year because the children write in them.)'"

The Superintendent of Schools in Seekonk, Massachusetts hired a private-sector organization to train his primary-grade teachers in intensive systematic phonics. The cost of reading materials to implement the new program was eighty-eight percent less per pupil than the "look and say" or "whole language" reading program previously used in the district.

"Mr. H. Marc Mason, Principal of Benjamin Franklin Elementary School in Mesa, Arizona, said that in 1978 his school spent $23.42 per student on reading materials. In the same year, his teachers were trained [to teach phonics]. By 1981, expenditures for reading materials had dropped to $8.50 per student, [while at the same time] achievement scores . . . surpassed the national, state, and district norms in language as well as in math."

[[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 05:54, 13 May 2008 (EDT)

Talk:Mystery:Why is Phonics Taught in the UK but not the US?

2008-05-13T18:32:19Z

GaryK: This is evidence?

==Illiterate democrat votes==
Can I see the source that states that the Dems rely heavily on illiterate votes?

Even Fox News will tell you that Obama gets most of his support from the well-educated
and younger, upwardly mobile, voters.
[[User:AdenJ|AdenJ]] 01:11, 11 May 2008 (EDT)

: AdenJ, you're simply wrong when you claim that Obama "gets most of his support from the well-educated ... voters." Overall, Dems rely on illiterate voters more than Republicans do.--[[User:Aschlafly|Aschlafly]] 20:51, 11 May 2008 (EDT)

Aschlafly - I'll direct your attention to this, from Fox News...
"Obama, who consistently leads Clinton among highly educated and wealthy voters, has tried to make up ground with middle-class America, where Clinton is strong. He has managed to score several wins in rural states like Idaho, Kansas and North Dakota."
There is plently more evidence of this. Can you show it is wrong?
[[User:AdenJ|AdenJ]] 05:32, 12 May 2008 (EDT)

::Not according to [http://www.ccsu.edu/AMLC06/Political_Literacy.htm this], which says the opposite in the 2004 election. Perhaps you have a source that says otherwise? [[User:Murray|Murray]] 20:59, 11 May 2008 (EDT)
::I guess there is no source that says that "Dems rely on illiterate voters more than Republicans do". I'm surprised. [[User:Murray|Murray]] 20:43, 12 May 2008 (EDT)

::: Murray, your cite is meaningless and you seem to be playing the "you haven't proven it yet" game again. Pull up some meaningful illiteracy data and we can both take a look, and I doubt either of us will be surprised by its implications for party support. A scan of the internet reveals independent observations that illiterate voters tend to vote Democratic. Indeed, no one seems to seriously doubt it.--[[User:Aschlafly|Aschlafly]] 23:22, 12 May 2008 (EDT)

:::::So you're (again) suggesting that '''"a scan of the internet reveals independent observations that....no one seems to seriously doubt it"'''. You're really, seriously, considering that this statement reflects adequate research for your theory? You're a lawyer, I believe? I'm just asking, because, you know, you can find web pages on "the internet" that claim that George Bush and Dick Cheney planned the attack on the WTC on 9/11. It's not a reliable source, "the internet". What would a judge think if you showed up in court and presented your case that "the defendant is guilty because a bunch of people on the internet said so"? Is that acceptable evidence? What are your sources for your theory? [[User:GaryK|GaryK]] 14:32, 13 May 2008 (EDT)

:::: Does http://www.ccsu.edu/AMLC06/Political_Literacy.htm work for meaningful data? You can also examine the methodology of the study (something very useful in making any claim). On the other hand, you are making the claim above and as I understand it, "the burden is on the person who makes the claim that something happened to support."[http://www.conservapedia.com/index.php?title=Talk:Wikipedia&diff=291546&oldid=291536] --[[User:Rutm|Rutm]] 13:59, 13 May 2008 (EDT)

:::::[http://abcnews.go.com/WN/LegalCenter/story?id=4342759&page=1 ''Out of the Shadows, Overcoming Illiteracy'']ABC News (26 Feb 2008): "In nearby Grand Rapids, a city of 184,000, one out of every five residents has difficulty reading or cannot read at all." The interesting thing about that very significant illiteracy rate is that despite being surrounded by traditional conservative strongholds, the city itself is surprisingly Democratic: "the city tends to elect Democrats. Both of its representatives in the Michigan State House of Representatives are Democrats, and in the past two presidential elections Democratic candidates Al Gore and John Kerry won the majority of votes in the city of Grand Rapids." [http://en.wikipedia.org/wiki/Grand_Rapids%2C_Michigan#Government_and_politics] Okay, so that's just one example, hardly enough to convince the skeptics, but I'm sure there are many more. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 14:21, 13 May 2008 (EDT)

== UK ==
"The Labour Party is not struggling and does not fear losing power". Do you have any idea about UK politics? Did you see the recent election results where Labour came in third? Have you read any UK newspapers or watched any UK news reports? All of them would contradict the notion that the Labour Party is not struggling. [[User:Henry8th|Henry8th]] 08:14, 11 May 2008 (EDT)

: That's a ''very'' recent development. This entry takes a longer frame of reference. The [[Labour Party]] has (predictably) held commanding power in the [[U.K.]] ever since sweeping [[gun control]] was imposed there in the mid-1990s.--[[User:Aschlafly|Aschlafly]] 09:30, 11 May 2008 (EDT)

== US Phonics ==

Most school systems in the U.S. do teach phonics - I was taught phonics in Texas, where the school districts are allowed to choose curriculum on an independent basis. Other school districts in the same state did not. The only state I've heard of that unilaterally does not teach phonics is South Carolina, though there may be others. [[User:SBaynham|SBaynham]] 09:22, 11 May 2008 (EDT)

: Most [[public school]]s in the [[U.S.]] do not teach [[phonics]], and I'm skeptical whether you learned from real [[phonics]]. Often a "look and say" approach will be labeled phonics by schools to stop parental complaints.--[[User:Aschlafly|Aschlafly]] 09:31, 11 May 2008 (EDT)

:: Look and say, teaching the "shape" of words, is the only other commonly-applied theory in the United States, so I am quite aware of the difference, and I was taught phonics. As I said, I have a friend in South Carolina who attended a school that taught the word shape method. Your understanding of this issue is quite contrary to reality: her teachers conspired to teach phonics against administration demands (which stemmed from parent demands), and a teacher was fired when they were found out. I haven't asked extensively about who was taught what, but it was always my understanding that South Carolina's aversion to phonics was closely related to their 49th in the nation status in education. [[User:SBaynham|SBaynham]] 22:25, 12 May 2008 (EDT)

:::It is perhaps worth noting that there are many attempts to introduce the elements of synthetic phonics into whole language/psycholinguistics teaching - but they are so very different in their application that these are just as harmful to a child's progress as having no synthetic phonics teaching at all. Similarly, if a teacher uses a synthetic phonics approach, but her classroom library has books only written for a psycholinguistics approach, the children are being deprived of the phonically-written/aware books that they need for this method to be successful. Like any other method, poorly-taught phonics will lead to poor learning outcomes. But I'm digressing. The point here is that synthetic phonics has not been mandated at a federal level and although it is supposed to be taught as part of the Reading First initiative, it still isn't - for most schools - the main method: psycholinguistics ''is''. I admit I'm not up to date on current US legislation, but I do know that back in 1999 a Sense of the Congress Resolution, introduced by Congressman David McIntosh of Indiana, "Expressing the Sense of Congress that direct systematic phonics instruction should be used in all schools," received 224 in favor and 193 opposed, but because a two thirds majority vote was required for passage of bills brought up under suspension, the resolution was not agreed to. From what I can gather, California, Texas, North Carolina, Wisconsin, Florida, Virginia, Maryland, Massachusetts and Ohio now have State legislation requiring "direct phonics instruction as a first step in teaching children to read," but in practice implementation of synthetic phonics is actually being strenuously resisted by the "educators", who are actually simply repackaging psycholinguistics under a different name, eg California's "Reading Recovery" scheme, which has begun to spread to many other states. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 05:46, 13 May 2008 (EDT)

::::This is interesting, but as I mentioned before, I was taught in one of the states with a state mandate, and it worked quite well. In my experience, teachers have been all too eager to apply phonics. My experience may not be completely endemic, but unless my experience differs with the vast majority of public-school-educated children in this country, I do think that it is enough to state with some degree of certainty that phonics is alive and well, and any combat between phonics and alternate methods is simply an academic debate between two alternate schools of thought. It is not a microcosm for liberal versus conservative, or any guerrilla war being fought by the teacher's union. [[User:SBaynham|SBaynham]] 07:12, 13 May 2008 (EDT)

:::::It would seem that it ''is'' - the proponents of psycholinguistics cited here, the article page and the phonics page, all include the gobsmacking objection that advocates of phonics are advocates of conservatism/the Christian right. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 07:20, 13 May 2008 (EDT)

== Constance Weaver ==
[http://eric.ed.gov/ERICWebPortal/custom/portlets/recordDetails/detailmini.jsp?_nfpb=true&_&ERICExtSearch_SearchValue_0=ED367962&ERICExtSearch_SearchType_0=no&accno=ED367962 Here is a link] to the Education Resources Information Center page about the teachers' text book, ''Reading Process and Practice, From Socio-Psycholinguistics to Whole Language'' by Constance Weaver. It looks fairly innocuous, doesn't it? Weaver, as you can see, is an advocate of "look-say" over phonics. ERIC, it should be borne in mind, is the organization used by "education researchers, teachers, librarians, administrators, education policymakers, instructors and students in teacher-preparation programs". What that page doesn't tell you is what Weaver has to say about phonics. Those researchers, teachers policymakers, etc are all informed - in the textbook! - that phonics is nothing short of a "far right plot... to promote a religious agenda" and inculcate "docility and obedience on the part of the lower classes." When cuckoos like that are allowed to write the textbooks, and "policymakers" read them too, it should come as no surprise that American children are being denied the head start in literacy that phonics provides. [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 07:10, 12 May 2008 (EDT)

: Ah, there's the answer: [[liberals]] claim that [[phonics]] is a "far right plot" and thereby block it in the [[U.S.]]--[[User:Aschlafly|Aschlafly]] 08:58, 12 May 2008 (EDT)

::One of the [http://www.syntheticphonics.com/articles/Sound%20Sense.pdf external links] from the [[Phonics]] page is to an interesting article which states: "In many [British] teachers minds, phonics equals right-wing, traditional, drill and skill, boring, anti-child-centred Gradgrind education. Over in the United States, phonics is portrayed as being closely aligned to the Christian fundamentalist right. The No child left behind act mandated phonics. Hell, Dubya loves phonics, so it follows that all right-minded progressive folks need to be against them." [[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 10:20, 12 May 2008 (EDT)

::: Superb analysis, Fox. I'm going to put some of your info in the entry on [[anti-conservatives]], which is about people who take a position simply because it is oppose the [[conservative]] position.--[[User:Aschlafly|Aschlafly]] 08:19, 13 May 2008 (EDT)

==Follow the money==
Robert W. Sweet, Jr., the President of the (US based) National Right to Read Foundation pointed out back in the late 90s that psycholinguistics teaching is big business, and has been since the 1930's when the basal reading series for elementary schools were introduced. Every year the publishing companies compete for the adoption of reading programs in states like California and Texas where millions of dollars of expendable "look-say" workbooks are purchased every year. ''Dick and Jane'', ''Alice and Jerry'', ''Janet and Mark'', ''Danny and Sue'', ''Tom and Betty'' are cash cows just like ''Barbie'' and ''Ken''. Quoting Sweet: "The 1986 National Advisory Council on Adult Education report, "Illiteracy in America" cites several examples of how the cost of reading instruction can be reduced, while at the same time improving reading scores:

"In her book, "Programmed Illiteracy in Our Schools," [Mary Johnson] says that: 'The workbooks to a sight method ['look and say'] basal series soon become superfluous whenever phonics is taught by a direct method... the annual expenditure on workbooks was more than four times greater than that on hardcover readers [used in a phonics-first program]. (The look-say workbooks have to be replaced each year because the children write in them.)'"

The Superintendent of Schools in Seekonk, Massachusetts hired a private-sector organization to train his primary-grade teachers in intensive systematic phonics. The cost of reading materials to implement the new program was eighty-eight percent less per pupil than the "look and say" or "whole language" reading program previously used in the district.

"Mr. H. Marc Mason, Principal of Benjamin Franklin Elementary School in Mesa, Arizona, said that in 1978 his school spent $23.42 per student on reading materials. In the same year, his teachers were trained [to teach phonics]. By 1981, expenditures for reading materials had dropped to $8.50 per student, [while at the same time] achievement scores . . . surpassed the national, state, and district norms in language as well as in math."

[[Image:User Fox.png|10px]] [[User:Fox|Fox]] ([[User talk:Fox|talk]]|[[Special:Contributions/Fox|contribs]]) 05:54, 13 May 2008 (EDT)

Talk:Mystery:Young Hollywood Breast Cancer Victims

2008-05-10T01:20:42Z

GaryK: Proof that the women do not fit the theory

==Solved?==

There may be a solution to this, the '''average''' age for being diagnosed with breast cancer is 64, but this doesn't mean that people cannot get breast cancer until they are 64.

You have named five cases where breast cancer has been contracted at a younger age, out of a pool of possibly tens of thousands of subjects (noting that you have expanded the definition of Hollywood to include relatively minor Australian celebrities and musicians). This is well in check with broader society, sadly many people do suffer from breast cancer at a young age. Unless the proportion of young people in general suffering breast cancer is different to the proportion of young "Hollywoodians" suffering breast cancer then there really isn't a mystery here to solve.

The only way that anyone will be able to demonstrate the possibility that Hollywood promotes breast cancer is by using statistics which show that the average age of breast cancer in Hollywood is significantly lower than that of society in general. [[User:StatsMsn|StatsMsn]] 22:18, 3 May 2008 (EDT)

:Medline, one of the largest databases relating to medical articles, returned just two articles for a search of ""Breast Neoplasms (exp)" and "Hollywood". One of these only referenced Hollywood because to establish a timeframe (it was translated from Japanese, and used the term "Hollywood syndrome" in its title) whereas the other referred to the geographic location of a clinic. I think this establishes that there is no medical evidence supporting the claim that Hollywood somehow increases the likelihood of breast cancer. If you have alternative search terms or databases you want me to use post them here and I will. [[User:StatsMsn|StatsMsn]] 22:46, 3 May 2008 (EDT)

:: Conservapedia is not limited to [[liberal]] medical journals. We are smart enough, I submit, to observe facts ourselves and let the readers draw conclusions. We do not simply regurgitate readily available information here. We tell the truth, even if it is censored elsewhere.--[[User:Aschlafly|Aschlafly]] 23:19, 3 May 2008 (EDT)

:::Medline reports from almost all major medical journals, it does not discriminate based on political ideology. All you have done is listed a few cases and suggested that being famous and connected to Hollywood somehow increases the risk of breast cancer. You have not provided any evidence that the average age of breast cancer amongst stars is any less than the broader average. It is an unfortunate fact that young people do get breast cancer, but there is nothing to suggest that rate of young people in Hollywood being diagnosed with breast cancer is any different to the rate of young people in broader society. Until you refute this point you cannot claim that there is a mystery. [[User:StatsMsn|StatsMsn]] 23:26, 3 May 2008 (EDT)
:::Mr. Schlafly, as I can see it, you seem to be a fan of false causality. X happened to this person and that person meets Y criteria therefore the event X is related to the criteria Y. If 5 people with brown hair contracts testicular cancer, does that mean that having brown hair predisposes you to testicular cancer? Just because someone meets one criteria and also fits another criteria does not mean they are related. That is exactly why medical studies are done, to establish if there is '''repeated''' and '''explainable''' links between any two things. You have no idea of these individuals medical history. There are no sources whatsoever to back this claim. Individuals can claim anything they want, it is only statistics and studies that can help justify them.
- [[User:AndrasK|AndrasK]] 23:40, 3 May 2008 (EDT)

==A Demonstration==

It is suggested that Belinda Emmett being diagnosed with breast cancer at the age of 24 shows that Hollywood increases the risk of breast cancer.

There are around 20 million people in Australia, it's safe to assume that 10 million of those will be female. Using the statistics on the page 1 in 19,608 women will be diagnosed with breast cancer by the time they're 25, this is approximately 0.0051%. At this rate about 510 Australia women will have been diagnosed with breast cancer by the time they're 25.

Belinda Emmett is one person out of 510 who has been diagnosed with Breast cancer, this is a rate of about 0.2%. Now, film and television in Australia employs about 50,000 people [http://www.afact.org.au/factsheets/AFACT_Consumer_Guides_Internet.pdf] (the best figure I could find for now), this is approximately 0.5% of the population. Assuming that camerawomen and writers have also been diagnosed with breast cancer then I see no reason why the rate of women connected with "Hollywood" and who have been diagnosed with breast cancer is any lower than that of the broader population.

The reason Hollywood seems to have so many young stars being diagnosed with breast cancer is because these cases are very well publicised, but the sad truth is that many young women are diagnosed with breast cancer every year, and that their cases are largely forgotten. There is no mystery here, and there won't be until someone shows that the average age of breast cancer amongst Hollywood stars is any different to the rest of society. [[User:StatsMsn|StatsMsn]] 23:37, 3 May 2008 (EDT)

:Good sir, we don't repeat readily known facts here! This is a crusade, good sir, and we're here to EXPOSE the FACT that HOLLYWOOD causes BREAST cancer IN starlets! [[User:IndianaJ|IndianaJ]] 00:55, 4 May 2008 (EDT)

==Questions==
When are you going to realise that you cannot base statistical conclusions upon a non-random sample? You are selecting a category of people who are by definition, far, far younger than the normal population (actresses and pop stars being typically in an age range from 18-45). Therefore, any incidences of breast cancer you find within that population will of course appear to trend younger. Please, take Statistics 101 before jumping to such ludicrous conclusions - you're simply making a fool of yourself. [[User:Bongabill|Bongabill]] 14:19, 4 May 2008 (EDT)

: Bongabill, you're clueless. The 18-45 population of [[Hollywood]] certainly can be compared with the 18-45 general population as to incidence of disease. I doubt you've taken half the statistics courses that I have. You have typical [[liberal style]] in trying to intimidate.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

Sure it can be compared Andy, but you haven't done that. If you compare the number of young Hollywood breast cancer victims (of course you might want to define what you mean by that first) to the rest of the population in the same age group, fine. You haven't done that. You might also want to clarify where you got your 500 from - clearly an estimate, but based on what? [[User:Murray|Murray]] 17:47, 4 May 2008 (EDT)

: The [[Hollywood]] community is a well-understood population that consists of performers and entertainers in movies, television and music. Any ambiguity about that population is insignificant. The incidence of breast cancer in the general population by age is known, and an estimate of a population of 500 female [[Hollywood]] types under age 35 or so who would admit to having breast cancer due to performance demands or openness is a reasonable estimate within a factor of 2 or so.

: You're free to make suggestions on improving the accuracy. But the attempts below to censor the inquiry altogether are, of course, absurd.--[[User:Aschlafly|Aschlafly]] 18:29, 4 May 2008 (EDT)

::Mr.Schalfly, actually, I am a professional statistician with both graduate and post-graduate degrees in the subject, and also a 34 year professional career as a statistician working for the official statistics bureau of a major nation. Now, ''of course'' you can compare the 'Hollywood' 18-45 population to the general 18-45 population, but first you have to define that population. How are you defining ''your'' population? Is it that they are living in "Hollywood" - in which case it might be interesting to examine geographical factors upon the incidence of disease? No - as I see you are including Australians who live in the UK, people born in six different countries, and it seems none of the members of your data set are actually ''from'' the geographical region of ''Hollywood'', and in fact many of them do not even live there either. So how are you defining members of your data set?

::: Bongabill, we don't fall for the unproven claims of credentials here. Wikipedia might be a better home for you. Your claim is absurd that no conclusions can be drawn from comparing disease incidence among [[Hollywood]] types to the general population. Tell me, did you work for the tobacco industry also in denying that cigarettes cause cancer?--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

::Secondly, I note that your article does not compare your data set to the general 18-45 population, but instead compares it to the general population of 'all ages', quoting an ''average'' age of diagnosis of 64 - which is clearly outside your terms of reference. I'm afraid there's absolutely nothing correct here with any of your reasoning, which not only fails Statistics 101, but fails it in the first semester. This article is specious nonsense. [[User:Bongabill|Bongabill]] 14:59, 4 May 2008 (EDT)

::: Well, I'm glad you're not a professor then. Or are you going to claim that also??? Your "know nothing" approach and [[liberal denials]] are nonsensical.--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

:::Just to point out, Mr. Schlafly, you fell back on your "record" of statistical courses as evidence to your statistical competency. [[User:AndrasK|AndrasK] 15:27, 4 May 2008 (EDT)

::: Yes, I did, in response to [[credential bullying]].--[[User:Aschlafly|Aschlafly]] 18:20, 4 May 2008 (EDT)

::::Actually ASchalfly, it was indeed you who first raised the issue of credentials in this thread - your comment "I doubt you've taken half the statistics courses I have" came after Bongabill's first and only comment on Conservapedia, and which never mentioned his or her credentials. [[User:StatsFan|StatsFan]] 18:52, 4 May 2008 (EDT)

All right Andy, I'll make a couple of suggestions. I suggest clarifying the basis of the estimate that there are 500 Hollywood women under 35 who would admit to having breast cancer. I don't understand where the number comes from - what was the method or source used to come up with 500? If that's a good estimate, your comparison is potentially legitimate. Then, I would suggest you do an actual statistical test to determine whether the numbers are significantly different. [[User:Murray|Murray]] 18:48, 4 May 2008 (EDT)

: Female rock stars likely to admit to breast cancer (e.g., due to a performance schedule) number on the magnitude of, at most, 50; female movie stars under 35 are perhaps a 100-200, at most; and other female actresses are perhaps another 100-200. Just look at how many albums and movies are released each year. Also, note that many stars go out of their way to conceal and deny health problems, understandably so. If you dispute any of these numbers, then I'd like to hear why.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::I'm not disputing them, I'm asking where they came from. So you looked up how many albums and movies are typically released in a year and extrapolated from that? [[User:Murray|Murray]] 19:05, 4 May 2008 (EDT)

::: That provides a ballpark estimate. Given that the incidence in the [[Hollywood]] community is an order of magnitude larger than the general population, ballpark estimates are enough to reveal a problem.

::: Note that a ballpark estimate would have -- and should have -- demonstrated that cigarettes cause lung cancer a half century before people accepted it. Millions of lives would have been saved by acting on the evidence available rather than demanding unnecessary statistical detail. Surely you don't defend that.--[[User:Aschlafly|Aschlafly]] 19:34, 4 May 2008 (EDT)

::::Andy, my man, a "ballpark estimate" is one thing. Pulling numbers out y'arse is quite another. If this really means something to you, then go and do some ''proper'' research. Lord knows you've got enough time on your hands. Reliable numbers may or may not be forthcoming, but at least you'll have tried and you'll be able to argue from a much stronger position if you succeed. Meanwhile, I'd quietly retreat from this one if I were you.
::::Sincerely, --[[User:OscarPeterson|OscarPeterson]] 20:24, 4 May 2008 (EDT)

I wonder how many of those who were included in the list of breast cancer cases would be included in the list of 500. If that 500 is based on albums and movies released, it appears that many of those women shouldn't be included. Shirley Temple is the only movie star there. Most appear to be television actresses, and I suspect many more fall into that category than movie actresses. So I suspect that 500 is a pretty big underestimate. Either way though, if you want to make the case, you should include a real statistical analysis. For example, in the last sentence, you could say ''There is likely no more than 1000 in the population of Hollywood types under age 35 who would have publicly disclose breast cancer. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group. A chi-square test of proportions indicates that the difference between these groups is not statistically significant, X2 (1 df) = 3.62, p = .109.'' [[User:Murray|Murray]] 21:28, 4 May 2008 (EDT)

: Why stop at age 35? Try applying your approach to age 30.--[[User:Aschlafly|Aschlafly]] 22:25, 4 May 2008 (EDT)
::Mainly because I think the numbers given in the article have no basis in reality. The 500 is said to be based on the number of movies and albums released each year. According to [http://dissertations.ub.rug.nl/FILES/faculties/feb/2007/s.a.delre/c5.pdf] there are 473 movies each year - I think it's safe to say that nearly all have multiple women who would be included in this list if they had the misfortune to get breast cancer. And taking a look at the list, it's clear that the article is also referring to television actresses, in the US and across the world. So I think 500 is a gross underestimate. Even if the true population of female "Hollywood types" under 30 was 1000 (and I suspect it's more than that), the difference is not significant. [[User:Murray|Murray]] 23:28, 4 May 2008 (EDT)

::: The difference is significant, even if the 500 estimate is low. Realize that the estimate of 500 is not for all female singers and actresses, but only those who have performance schedules requiring disclosure of a personal health problem. A soap opera actress would be an example, of which there are perhaps only 50 in the relevant age group.

::: Multiple occurrences of a rarely occurring event are statistically significant, and it's incorrect to claim otherwise. There is nothing special about a baseball pitcher who throws only one no-hitter, but there is something special about one who throws three no-hitters, which is analogous to the data here.--[[User:Aschlafly|Aschlafly]] 23:42, 4 May 2008 (EDT)
::::::Well, see, there's a couple of problems with that analysis. Let's assume for the moment that your guesstimate of 500 actresses/singers at any one time whose schedules would necessitate an illness disclosure is roughly accurate. Problems: 1)Your examples are not drawn from a single point in time, but from over a period of decades (which would stretch the 500 to thousands). 2)Many of these women, while well-known, were ill at a time in their life when disclosure would not have been necessary (that is, when they were no longer active, and not part of the 500). 3) Many of your examples are deeply obscure, and certainly not part of the 500.--[[User:RossC|RossC]] 08:59, 5 May 2008 (EDT)

::::No, there's definitely something special about a pitcher who throws a no-hitter. -[[User:CSGuy|CSGuy]] 23:54, 4 May 2008 (EDT)

:: No,

:Murry you are compeletly wrong. You are using frequentist statistics which was created by that godless, evolution believing, eugenics supporting, [[liberal]] Fisher. It is inherently [[deceit|deceitful]]. You should instead use that devinly inspired Bayesian satitical methods. I suggest an uniform distribution aprior for your parameter. [[User:DanielB|DanielB]] 22:54, 4 May 2008 (EDT)

==An example of why this is fallacious reasoning==
# The incidence of homosexuality in the general population is about 2-3%[http://www.catholiceducation.org/articles/homosexuality/ho0095.html].
# Evangelical preachers Ted Haggard, Paul Barnes, and Roy Clements were found to be homosexuals.
# Our study shows incidence of homosexuality in Evangelical preachers is far, far greater than the general population and is instead 100%.
# Therefore, all Evangelicial preachers are gay.

Except there's just one thing - we know that's not true. So what's wrong with the reasoning? Selective sampling, that's what's wrong. And which is what you're doing in this article. [[User:Bongabill|Bongabill]] 14:33, 4 May 2008 (EDT)

: Bongabill, your reasoning is so absurd that it does not merit a response. Learn how to spell "fallacious" and return only if you can figure that out. Godspeed.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

:Can you point out logical discrepancies between your logic and his? Refusing to respond does not give you credit, it makes you seem even more wrong. If your argument is correct, then why can you not point out problems in his? And by the way, taunting someone regarding one simple spelling error is puerile. [[User:AndrasK|AndrasK]] 14:42, 4 May 2008 (EDT)

:: Well, duh, the incidence of homosexuality among evangelical preachers is 3 divided by thousands. Should I do the arithmetic for you?--[[User:Aschlafly|Aschlafly]] 15:14, 4 May 2008 (EDT)

:::Andy to try and translate Bongabill's reasoning into simpler terms: '''Selection bias/selective sampling is where the sample you choose for your study is rigged to give an inaccurate result'''. For example, let us suppose that Planned Parenthood did a study into teens and promiscuity and ecluded teens with STDs and tried to use that study to show teens were having "safe sex". Obviously this would be false since the sample was not ''representative'' of the teenage population. '''Likewise your sample (the list) is inaccurate since it only includes "hollywood" women who ever got breast cancer'''. Also to ignore Bongabill's point and to point out his spelling mistakes smacks of a childish ''ad homniem'' attack, to repeat AndrasK.[[User:Luder|Luder]] 16:05, 4 May 2008 (EDT)

This article is utter nonsense. The reasoning is absurd. It is just laughable. So you can name twenty well-known women who have had breast cancer. I can name twenty women I know who have had breast cancer. Does this mean women of my acquaintance are particularly susceptible? No, it's just a meaningless series of cases, anecdotal evidence of nothing whatsoever. This article is the same. Conservapedia really is a parody of itself! [[User:Humblpi|Humblpi]] 17:20, 4 May 2008 (EDT)

: Folks, your objections are incoherent. The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population. I realize that [[deliberate ignorance]] is a trademark [[liberal style]], but you're in the wrong place if you think you're going to censor attempts to compare those rates. It can and should be done.--[[User:Aschlafly|Aschlafly]] 18:19, 4 May 2008 (EDT)

::''The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population.'' So where is this done? It is simple (the number of Hollywood types that have breast cancer)/(the number of hollywood types) vs. (the number of the overall population that have breast cancer)/(the number of the overall population). You have failed to provide even the simple mean, neverless the variance in order to conduct a hypothesis test. [[User:DanielB|DanielB]] 18:38, 4 May 2008 (EDT)

:::DanielB, you're correct, but that's not all - you would also need to conduct a Chi-Squared Test on the result to see whether or not the variance in the data actually had any statistical significance. Different values are not necessarily statistically significant. There is no valid or relevant statistical analysis in this article, none whatsoever. [[User:StatsFan|StatsFan]] 18:44, 4 May 2008 (EDT)

:::: When the rates are vastly different, as in the case of lung cancer and cigarettes, conclusions can and should be drawn immediately based on the vast differences in the rates. Of course further investigation is welcome, but unlikely to alter the obvious conclusion.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::::: Vastlty different rates could be the result of the variance of your sample. Your sample size might be too small to draw conclusions or as StatsFan said it might not be significant. Andy you should research statistical hypothesis testing of Student and Fisher instead of being [[deliberate ignorance|deliberalty ignorant]] of them. [[User:DanielB|DanielB]] 19:03, 4 May 2008 (EDT)

:::::: See my reply to the more intelligent comments by Murray above.--[[User:Aschlafly|Aschlafly]] 19:35, 4 May 2008 (EDT)

::::::: What does by a factor of 2 mean? Do you mean a probabilty of less than 2% that the difference in means is a result of random sampling? As you have failed to establish a population size, how do you know the degrees of freedom of your t-distribution? You appear to have a vague understanding of statistic hypothesis testing without any actual working knowledge of how it works. [[User:DanielB|DanielB]] 20:42, 4 May 2008 (EDT)

==Question / Cause==
Just out of curiosity, I'm wondering what you're postulating is the cause of this apparent epidemic of breast cancer amongst the women of the entertainment industry. A paragraph or two regarding possible causation might help to round out the article.--[[User:RossC|RossC]] 09:04, 5 May 2008 (EDT)
:Based on [[Breast_cancer#Risk_factors|this]], perhaps [[Hollywood values]] encompass poor eating habits and abortions as well. [[User:Feebasfactor|Feebasfactor]] 13:18, 5 May 2008 (EDT)

:Those who don't have an open mind about a glaring 5-10x increase in breast cancer incidence in the [[Hollywood]] community are not likely to have an open mind about causation. The cancer deniers could make a bundle working for the tobacco industry, however.--[[User:Aschlafly|Aschlafly]] 13:31, 5 May 2008 (EDT)

:: From a factor of 2 to 5 to 10 times increase. These numbers are incredible and would be very impressive if you had any data what so ever to back this up. You have done no statistical analysis all you have done is make up "ballpark" numbers which suit your hypothesis. Get some data, analyse it and submit it to a medical journal if this as rock solid as you say. Otherwise there is no "mystery cause of Hollywood breast cancer" as you have failed to establish it is any higher than you might expect in the general population. [[User:DanielB|DanielB]] 02:01, 6 May 2008 (EDT)

So was I... on the right track then? I'd like to think I was being open-minded about causation by considering possible factors, but perhaps I've missed it anyway. :( [[User:Feebasfactor|Feebasfactor]] 18:01, 5 May 2008 (EDT)

::Geez, Andy, you're not going soft on us, are you? I don't think you've ever censored yourself before in deference to the closed-minded. Would you mind if I worked up a paragraph on causation, or would you rather just skip it? (I don't want to step on your toes) --[[User:RossC|RossC]] 14:18, 5 May 2008 (EDT)

::: RossC, I can't tell if you're serious or not. If you're serious, then please try to improve the entry. Godspeed.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)
:::: I am indeed serious (but don't fret--I get that a lot). I'll whip up a paragraph on possible causation when I have a bit more time (tomorrow, hopefully).--[[User:RossC|RossC]] 13:13, 6 May 2008 (EDT)

::::: You probably "get that a lot" because most of your edits, like your recent one on the Main Page, are not to be taken seriously. Try some substantive edits. You'll benefit yourself.--[[User:Aschlafly|Aschlafly]] 14:27, 6 May 2008 (EDT)

Your argument is hardly convincing.
[[User:AdenJ|AdenJ]] 13:53, 5 May 2008 (EDT)

::This does seem like a story that's not being covered in the MSM, and I think you've uncovered a real 'sleeper' news story with this original research. Do you have a press agent who can help you publicize it - can you get this into the news 'wires'? I'm sure various Hollywood press organs would be VERY interested in this story - why don't you try and get this to the LA Times, or Variety, or the Hollywood Reporter? This is Front Page material! [[User:RobCross|RobCross]] 14:07, 5 May 2008 (EDT)

::: Please tell them for us, RobCross. As you can see, the [[liberals]] are not happy about this, which means the publications you cite will not publish it.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)

Andy, maybe you should submit it to ''JPANDS''. [[User:Murray|Murray]] 11:00, 9 May 2008 (EDT)

Aschlafly, its not that 'liberals are unhappy with this' hence it wont get published any where. Its that if you tried to publish this you'd get laughed at because your methodology is so poor. If the was a causation somewhere do you really think you'd be the first person to spot it?
[[User:AdenJ|AdenJ]] 23:41, 5 May 2008 (EDT)

: Ah, there's that [[liberal]] over-reliance on mockery, point 25 of [[liberal style]]. You follow your style book well, AdenJ. Fortunately, not everyone is afraid of being "laughed at," particularly when the mockery is done to conceal causation of a deadly disease. It's not very funny when you realize what you're trying to conceal.--[[User:Aschlafly|Aschlafly]] 23:56, 5 May 2008 (EDT)

Ahhhhh, again Aschlafly you dont know anything at all about me so I wouldn't throw around the liberal rubbish. Not that I have to prove anything to you however I will advise that in my countrys elections I vote for the right. Anyways my point is that this 'article' is not all convincing to anyone.
[[User:AdenJ|AdenJ]] 00:00, 6 May 2008 (EDT)

What is the hypothesis about causation? [[User:Murray|Murray]] 23:57, 5 May 2008 (EDT)

:Andy, if you wouldn't mind... would you like to pose a possible hypothesis as to what causes this apparent increased rate of breast cancer in Hollywood? What do you think is the explanation to this mystery? I've taken a guess already, although I don't know if I'm on the right track. [[User:Feebasfactor|Feebasfactor]] 23:17, 8 May 2008 (EDT)

::Oh, nevermind... I see it was apparently solved after all. [[User:Feebasfactor|Feebasfactor]] 15:58, 9 May 2008 (EDT)

== Other factors and questions ==

I would first like to ask if 'Hollywood' is appropriate in the title. How many of these are Hollywood stars? Soap operas, British singers, etc. Shirley Temple retired from movies at 21 in 1949. She had been out of Hollywood for 20 years when she was diagnosed. And is 40 'young'? That also brings up the time frame question - does including a person who was diagnosed with cancer about 40 years ago fit in with trying to correlate it with people from today?

There is also the question of diagnosis. Early diagnosis is the key to identifying and surviving a battle with cancer. People who are wealthy tend to go to the doctor more often, routine check ups and preventive care rather than going to the emergency room. The people listed tend to be in the upper end of the pay spectrum and thus would go to and have access to better medical resources. As such, they would detect cancer at a younger age than those that don't have access to these resources.

The Mayo clinic suggests starting breast self exams at age 20.[http://www.mayoclinic.com/health/breast-self-exam/WO00026] I am curious if the women here would speak up about the age they started doing breast self exams and the age range that their doctors have informed them that breast cancer can develop along with the risk factors.

Another important factor is identifying family history. Do any of these individuals have a family history of cancer that would make them predisposed to it?

There is also the selection of data. Actresses are famous and everything they do or is done to them tends to find itself in the media. These are the things one would read at a supermarket check out (why is it even here - isn't it the liberal media and National Enquirer that is supposed to have an obsession with celebrities?). This ignores the millions of non-newsworthy men and women and the chances that they get cancer. The young woman down the street who is fighting breast cancer - thats not news and so it doesn't show up beyond a number somewhere. It is just easier to find a list and news reports of famous people.

If there is any statistical significance of this, the math should be shown by the person making the claim. --[[User:Rutm|Rutm]] 14:34, 5 May 2008 (EDT)

: The rates of breast cancer by age in the general population are well-known, and the rates in [[Hollywood]] are 5-10x times higher. You don't work for tobacco companies, do you? We don't need to deny the obvious and await 30 more years of [[censorship]].--[[User:Aschlafly|Aschlafly]] 16:04, 5 May 2008 (EDT)

:: Could you point to any study or news article akin to [http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2003/05/30/BA70131.DTL]? Have you ruled out other known risk factors? Where is the data to support this? I would be interested to see the data (rather than an list of 20 singers, actresses, and notables that at some time resided in Los Angeles) that supports the assertion. --[[User:Rutm|Rutm]] 16:11, 5 May 2008 (EDT)

::: I don't think that Mr Schlafly has to eliminate other risk factors. The claim is only that breast cancer is more prevalent amongst young 'Hollywood types' than others, not that the state of being a 'Hollywood type' causes breast cancer. He doesn't even claim that this this difference is statistically significant. To establish his claim all he has to do is come up with clear definitions of 'Hollywood type' and 'young', determine the size of this group (presumably fewer than the 546,969[http://www.imdb.com/database_statistics] actresses in the imdb database), take a representative sample thereof, determine the rate of early breast cancer within that group and compare it to the general population. --[[User:Jalapeno|Jalapeno]] 17:24, 5 May 2008 (EDT)

::: If anyone would like to work from some data - [http://statecancerprofiles.cancer.gov/cgi-bin/quickprofiles/profile.pl?06&055#incidence] has a table for breast cancer deaths by county in California. Orange county slightly above the mean in California for incidence, but is certainly not at the top of the list. I have yet to see any data suggesting the National Cancer Institutes's data is incorrect. --[[User:Rutm|Rutm]] 17:28, 5 May 2008 (EDT)

== [[Liberal Denial]] ==

The above [[liberal denial]]s are almost as interesting as the entry itself. Observe how no one objected to "Rutm"s observation that breast cancer deaths are higher in Orange County, yet every [[liberal]] here objected to the possibility that breast cancer rates are higher among [[Hollywood]] types. Ever here the expression "he protests too much"? It applies with full force here. There is nothing logical to the protests above, which merely underscores how important it is to publicize this information. The more it is irrationally denied, the more persuasive it becomes.--[[User:Aschlafly|Aschlafly]] 20:49, 6 May 2008 (EDT)

:Andy: (a) Hollywood isn't in Orange County. LA County is below the state average, according to Rutm's link. Even if it were higher, that says nothing about the rate in Hollywood, or among "Hollywood types". (b) Some of the comments above may be a bit strident. However, they raise challenges that haven't been answered. If you want to make this case, it would be better to show your methods and to actually do the math. The current approach is not convincing to those who understand statistics. [[User:Murray|Murray]] 21:47, 6 May 2008 (EDT)

::Andy the protest above are not about your conclusions they are about your compelete lack of data. What you are lacking is data. Rutm's observations are valid because they are based on data, something you lack. [[User:DanielB|DanielB]] 22:08, 6 May 2008 (EDT)

::: Murray and DanielB miss the point. I don't think we've seen such emotional denials of a health problem since the tobacco executives denied their products cause cancer, and they kept insisting on more and more and more data. The odds of finding three women victimized by breast cancer in their 20s is astronomically small, and requires a very large population sample. Three examples from the small community of [[Hollywood]], along with many other striking examples of young breast cancer victims, suggests a problem.

::: However, judging by the emotional denials, it's clear your minds are not open about this. You're not investigating further yourself; instead, the deniers are resorting to put-downs (e.g., "not convincing to those who understand statistics"). As is said, "you protest too much."--[[User:Aschlafly|Aschlafly]] 22:15, 6 May 2008 (EDT)

:::: Is it a small community? Do you have the exact number of people in this community or do you just have this strange 100-200 numbers from nowhere? You are making numbers up on gut instinct and calling it a sample. You would not get an arguement if you even had properly collected statistics.

:::: As for the tabbaco companies thay argued that correlation dose not equal causation. Something you yourself argued on many occasion, because it is true. Life expectancy goes up with the rate of TV ownership in a country, would you advocate giving third world nations TVs to increase there lifespan? [[User:DanielB|DanielB]] 22:33, 6 May 2008 (EDT)

::Demanding scientific evidence and accurate statistics is not protesting too much, it is common sense. [[User:AndrasK|AndrasK]] 22:22, 6 May 2008 (EDT)

The put-downs are on both sides, Andy ("emotional denial", "your minds are not open"). How about a compromise - if you will explain how you derived your sample size, a productive discussion can take place about whether or not this indicates an increased risk of breast cancer. Also, did you note above that the breast cancer rate in the county that Hollywood is in is actually lower than the state average? [[User:Murray|Murray]] 22:42, 6 May 2008 (EDT)

: My comments are not put-downs in the same sense as yours. Observing that a denial is emotional is not bullying, for example.

: Let's see if any of the deniers here will admit that, yes, it is quite possible that breast cancer incidence is higher in the [[Hollywood]] community than the general population. It's irrational if that admission is not forthcoming. (By the way, the physical county in which the town of Hollywood is located is obviously irrelevant because the issue is the lifestyle.)--[[User:Aschlafly|Aschlafly]] 22:54, 6 May 2008 (EDT)

::I disagree that your comments are not put-downs in the same sense, but we can disagree there. I apologize for the comment. I pointed out that Hollywood is not in Orange County because your comment above used the rate in Orange County to support your argument. Sure, I will happily admit that it is ''possible'' that the breast cancer rate in the Hollywood district of Los Angeles is higher than in the general population. It would be a powerful statement if it could be shown, given that the rate in all of LA County is lower than the rest of the state. However, I am not convinced by the arguments currently put forth here. As I mentioned above, it would be helpful to explain your methods, particularly the method for determining the size of the sample. It would also be useful to define "Hollywood types", because it appears that many of those in the list, including 1 in the under 30 section, did not live in Hollywood. Research in any field is heavily dependent on explanations of how variables were defined and measured, and on descriptions of how the sample was derived and who it was composed of. [[User:Murray|Murray]] 23:15, 6 May 2008 (EDT)

:::I also happily admit that "it is quite possible that breast cancer incidence is higher in the Hollywood community than the general population", and I'd be very happy to see Aschlafly's hypothesis proven, or disproven, or indeed to see any meaningful data one way or the other. My objection to this sort of pseudo-science is not emotional, and does not represent liberal or any other sort of denial. It's simply that the "conclusion" does not arise from any data. It's a misuse of epidemiological and statistical methods, an appeal to "science" merely to support a prejudice. For a start, you cannot make any comment on prevalence without first defining the population you are using as the denominator. I suggest that should be the first step. If you then ask a suitable question, and apply suitable methods to answer that question, that would be a couple more steps in the right direction. And if you can find anything that suports the contention that breast cancer is more prevalent among "Hollywood types" I'm sure even the "liberal medical journals" would be very interested in the study. [[User:Humblpi|Humblpi]] 01:38, 7 May 2008 (EDT)

Mr.Schlafly, we will ''happily'' admit that breast cancer ''might'' be higher in 'Hollywood' - if you can show that is the case, it is certainly really interesting, and some decent , substantiated research with figures you can stand over would make for a really major news story - and your work would be celebrated. '"Women working in the entertainment industry develop breast cancer at a much higher rate than normal'" is indeed headline news. We can help you to make a rock-solid case. Here's how to make your case watertight:

1. Define the population. It seems you're not really intending ''Hollywood'' to be a geographical term here, instead I believe you wish it to refer to 'women between 18-45 working in the entertainment business' - regardless of physical location. Nothing wrong with this so far, that's a perfectly reasonable population to analyse. Please correct my definition if you you think I'm paraphrasing you incorrectly. 
2. Determine the size of that population. This is where it starts to get tricky. A global figure for young women between the ages of 18-45 could be estimated easily enough, but the number of people involved in the entertainment business may be harder to determine. Do you wish your research to include, for example, hairdressers, make-up artists, production designers and art directors, as they would all work with the actors and singers and presumably work in a similar 'moral milleu'. One problem here is that these women would typically work in the presence of chemicals, some of which may or may not be carcinogenic, which would need to be factored into the equations. Another issue is - where does one include women from? Are young Chinese actresses as likely to succumb to the perceived 'moral milleu' of the film business of Hong Kong (not known for its strict moral code either). Might they be similarly affected? What about Indian girls in Bollywood? I notice that you are including Australians and UK residents, but what about French, German, Italians, etc? 
3. Assuming you can eventually determine the total size of the population, then determine the rates of breast cancer in that total population. This will be difficult, lengthy research, but it should be possible. It would likely take many years of research though, as you will require data from health monitoring organizations around the globe. 
4. Now factor in family medical histories, ethnic predispositions, working conditions, lifetime exposure to carcinogens, birth patterns, etc - and filter your data for these. 
5. Compare the breast cancer rates of your study to the breast cancer rates of the global population in general. Again, this shouldn't be too hard. 
6. Test any differences in your discovered cancer rates for statistical significance. Where you discover a trend, dig deeper into that data to ensure you are correct. 
7. Publish, and celebrate good research! 

Your hypothesis is interesting, but as yet unproven. But if we can be of any assistance, let us know. [[User:StatsFan|StatsFan]] 11:58, 7 May 2008 (EDT)

== Reply to the above ==

First, Murray, the popular term "Hollywood" refers to an ''industry'', not a place. Yes, I know, there is a small town called "Hollywood", but that is not what anyone means when they speak of the culture, lifestyle, values and industry of "Hollywood", as we are here. I'm astonished, frankly, that you take such a narrow, literal meaning of the word.

Second, I'm gratified to have wrestled out an admission for all here that, yes, Hollywood types may have higher and younger incidence of breast cancer than the general population. So why all the fuss? Read the comments above and anyone objective would see a determination to censor a discussion and investigation of something that all now admit is quite possible.

Third, looking at the data from a small population of successful, performing female pop singers, who number no more than 100, the rate of young breast cancer is astounding and many times, even orders of magnitude, higher than the rate in the general population. It's unmistakable.

Fourth, there are medical reasons why one would expect, without seeing any data, that Hollywood actresses would have higher rates of breast cancer. An astute, objective observer would expect it without seeing a single patient or reviewing data about a single case.--[[User:Aschlafly|Aschlafly]] 14:08, 7 May 2008 (EDT)

:Andy, I interpreted your reference to the "small community" as referring to the town itself. Apparently I misinterpreted. Nobody is attempting to censor any discussion. I am in fact trying to have a discussion. I will ask again, would you please explain the methods that you used to derive these numbers, particularly the sample sizes but also the number of cancer diagnoses? If you are correct, there is nothing to lose, and you can only gain from being transparent. I have my doubts as to whether the population is truly as small as you say. However, if you can show that it is, then your hypothesis is correct. This is a matter of statistics, not of ideology. An intro stats text will go into detail about why it is important to be clear and detailed about methodology, and that is what is missing here.

:Out of curiosity, what are those medical reasons? Regardless of what one would expect, one needs to show that the data back up the expectation.

:Finally, the "fuss" is not about the possibility. It is about making a claim and showing data that are not clear. It's possible that any community has a higher rate of breast cancer. Ashkenazi Jewish women, for example, are at greater risk for BRCA1 and BRCA2 mutations that are associated with breast cancer. But we know that because clear, detailed data have been published. [[User:Murray|Murray]] 14:19, 7 May 2008 (EDT)

::Mr.Schlafly, regarding your points:
::*First, yes, I understand you are referring to an industry and not a geographic location. There's nothing inherently wrong about you attempting to do so. '''Except''' that if you are defining it so, you need to define the 'what', 'how' and 'where' of that industry. Geographical locations make research easy, as essentially you can simply start by analysing data within US zip codes. But defining members of an industry is hard, particularly since the industry is global, and contains many people in many roles. Sadly, the UN, WHO, or any other organization doesn't break out its health, age, income, etc statistics into 'pop singers' and 'actresses', so we must instead do the work ourselves. So - how do you intend to define your population?
::*Secondly, it is one thing to admit that a possibility exists. But is entirely another to admit that that possibility is indeed the case. Would you be prepared to admit that web workers like yourself are more prone to testicular cancer? If I can find thirty people who work on the web and have testicular cancer, will you believe me? It may be so, and of course it's possible, but IS it so? Only proper research can tell. But if I claim it, you have every right to disagree with me.
::*Thirdly, here is where I must begin to disagree with you, and for very simply reasons. No, it is NOT possible to make assumptions based upon a non-random data set comprising members you have selected who have shown the condition. The population sample you provide is statistically biased, as it is non-random, and therefore does not properly represent the total population - all actresses and pop stars, including those who ''both do '''and do not''''' have breast cancer. You have selected it to only include actresses and pop singers with breast cancer. This sample does not include the very many pop singers and actresses who did ''not'' develop breast cancer. This common mistake has a name in statistical analysis, and is referred to as '[[Selection Bias]]'. Using the same method, I could equally list twenty CEO's of technology companies who are bald and claim that being a CEO causes baldness. But it would not make it true. I refer you to the famous 'joke' statistic that the rise and fall of the population of penguins in the Arctic is extremely tightly correlated with the UK Conservative party holding Government office (or Arts funding - the stories vary). These examples and others are used to show that [[Correlation]] '''never''' automatically implies [[Causation]]. As a result of your selection bias, it is false to say that your conclusion "is unmistakeable" - though it doesn't for a second mean we shouldn't investigate your claim.
::*Finally, what are those medical reasons? What is your proposed theory of causation?' Why would an acute observer expect it? If you can be a little more clear, it would help.

::Your case remains completely unproven speculation, but is nevertheless interesting. [[User:StatsFan|StatsFan]] 14:31, 7 May 2008 (EDT)

==Mathematical Outline for such a theory==

If I understand your theory correctly, the maths for your theory would work as follows (please correct me if I am wrong): 

First, evaluate Global Breast Cancer Incidence in the [[Control Population]], i.e. the 'world at large': 
A=Global Population of women aged 18-45 
B=Total number of women belonging to Set A diagnosed with breast cancer 
B/A = Y (Average Global percentage of breast cancer incidence in young women aged 18-45) 
 
Note that since our hypothesis is that 'Hollywood' or 'lifestyle values' are what we are testing for (since we assume you don't intend to prove that there are, for example, more carcinogens in movie trailers than elsewhere), it would be important to exclude from 'B' those breast cancers caused by hereditary, environmental factors and other non-lifestyle factors. 
 
Next, evaluate 'Hollywood' Breast Cancer Incidence: 
W=Global population of Actresses and Pop Singers aged 18-45 
X=Global population of Actresses and Pop Singers aged 18-45 diagnosed with breast cancer 
X/W = Z (Average Global percentage of breast cancer in 'Hollywood' women) 
 
(From this data set, we would also have to exclude those 'non-lifestyle' breast cancers as above).
 

If Z > Y, and passes the Chi Square Test, you're definitely onto something, and quite likely a large amount of funding would immediately be available for further research. But with A, B, W and X as yet undefined, as here, we don't have proof yet of the trend. But at least we have defined the numbers we are looking for, and we can continue to study your theory. [[User:StatsFan|StatsFan]] 17:57, 7 May 2008 (EDT)

: Your symbols add nothing here, and your conclusion that "quite likely a large amount of funding would immediately be available for further research" is absurd. The same hysterically [[liberal]] reaction posted on this talk page by others above would great any application for funding of this hypothesis. Such application would find the trashcan before a closed-minded recipient looked beyond its first page.

: That is all the more amusing when one realizes that there is a fundamental reason why [[Hollywood]] types must have higher breast cancer incidence than the general public. Get past the symbols and look at this with an open mind, and you'll see it too.--[[User:Aschlafly|Aschlafly]] 19:51, 7 May 2008 (EDT)

::If you disagree with the methodology described above, what mathematical methodology do you instead propose? And what is this "fundamental reason" you refer to? I'm just curious as to how to prove this hypothesis. [[User:StatsFan|StatsFan]] 19:54, 7 May 2008 (EDT)

::: I don't object to the methodology, but I don't think it adds anything meaningful to the issue. If I asked whether a pitcher of unknown name who has thrown at least three no-hitters should likely be in the Hall of Fame, your methodology is not going help answer the statistical question.--[[User:Aschlafly|Aschlafly]] 20:00, 7 May 2008 (EDT)

:::: The methodology allows other people to reproduce it and not require having an open mind or a statement from an authority. In making the claim "Hollywood types have higher breast cancer incidence than the general public" you are making a statement that can be tested. Thus, people want to know how you came to that conclusion and how to test it for themselves so they can see if it is true or not. --[[User:Rutm|Rutm]] 20:03, 7 May 2008 (EDT)

::::OK, great - we're on the same path then! I'm delighted we can see eye-to-eye on something at last. As to your analogy, it is interesting, but kind of irrelevant to this discussion. So, if you agree with the math, then let's get to work!

::::We know that C = approx. 1 in 93, from the NCI figures. But those numbers refer to all women below 45. The rate for women between 18-45 would be higher, we could make a reasonable guess at, say, 1 in 70 (since the rate for women below 50 is 1 in 50). And you suggest a rate that is an order of magnitude higher than normal, correct? That would be, say, 1 in 7. Now, we need to establish the value of both W and X, the total population of women 18-45 who are in the entertainment business, and those within that population who have been diagnosed with breast cancer. How do we obtain those numbers? [[User:StatsFan|StatsFan]] 20:08, 7 May 2008 (EDT)
:::::Do note that this is the number of women in the entertainment business at some point in their lives (Shirley Temple was retired from the industry for 20 years when she was diagnosed) over the past 80 years (Shirley Temple was born in 1928). This would include singers (country? bluegrass? pop? rock? musicals? vaudeville?), actresses (stage? TV? movies?). Also be sure to include people from around the world in this - Australian soap opera star, Puerto Rican actress, Norwegian actress. It would help to know what the hypothesis being tested is beyond the vague "people in entertainment." --[[User:Rutm|Rutm]] 20:28, 7 May 2008 (EDT)

Andy, I have 2 questions for you. First, will you share your methods for determining the size of the sample and the number of cases? Second, what is your hypothesis as to causality? Thanks. [[User:Murray|Murray]] 20:35, 7 May 2008 (EDT)

'''REPLY TO THE ABOVE''': We have the data that we have. We don't have a double-blind controlled study of millions of subjects. We never will. Smokers went 100 years without the kind of study the naysayers demand here. Does that mean no one could conclude that smoking causes lung cancer? Of course not. Watch your relatives who smoke drop dead and then don't ignore it. Ditto here for breast cancer and [[Hollywood]]. Tobacco companies to this day claim the studies are inclusive and more studies are needed. If determined enough, one can often claim that. The more interesting -- and more important -- challenge is to draw the conclusions that can be drawn from the data that are available. Look at the very small population of pop female singers and breast cancer incidence, open your minds, and don't deny something that has deadly consequences.--[[User:Aschlafly|Aschlafly]] 20:45, 7 May 2008 (EDT)

::I take it you are refusing to share your methods, though it would be nice if you would just say that. ''We have the data that we have.'' True enough, but you're the only one who knows what it looks like. [[User:Murray|Murray]] 21:16, 7 May 2008 (EDT)

Mr.Schalfly, you keep suggesting that people are somehow disagreeing about the deadly risks of tobacco, but no-one is - they are incontestable, and the CEO's of tobacco companies, and their lawyers, just look utterly foolish as they make their arguments that they are not deadly. But this thesis of yours, to be similarly incontestable, needs to be have solid reasoning behind it. I doubt you'd disagree with that? For example, if you are suggesting that approximately 1 in 7 is the risk factor for women between 18-45 in the 'Hollywood' industry, and you have listed 20 individuals, are you suggesting that the total population of 'Hollywood' types is really just 140 women? I'm simply trying to get to the bottom of the maths. [[User:StatsFan|StatsFan]] 20:55, 7 May 2008 (EDT)

One other note - the point you make about "watch your smoker relatives drop dead" is an excellent example of selective sampling. I had two uncle's who smoked until they died in their nineties, neither of smoking-related illnesses. It doesn't prove for a moment though that smoking does not kill - it simply shows the effects of selective bias. [[User:StatsFan|StatsFan]] 20:59, 7 May 2008 (EDT)

: StatsFan, of course counterexamples (your uncles) do not disprove causation. But examples often do indicate causation when it is a rarely expected phenomenon.

: Again, I ask you: is it likely that an unnamed pitcher who threw three no-hitters had an overall career worthy of the Hall of Fame? That is a statistical question that you should be able to answer, but your incessant demand for more data is not going to help you solve it. There is no further specific data to be disclosed in that question, nor is additional data necessary to answer it.--[[User:Aschlafly|Aschlafly]] 21:19, 7 May 2008 (EDT)

::I am indeed confused by your metaphor. For me to know the answer to that I would need to know if it was common for a pitcher to throw three no-hitters, and if many Hall f Famers had thrown three no-hitters? If I'm correct (and I apologize if I am confused by your analogy), you are suggesting that since the data you present is 'obvious', then young Hollywood women do indeed contract breast cancer at higher rates, yes? [[User:StatsFan|StatsFan]] 21:24, 7 May 2008 (EDT)

::: StatsFan, the only info you need is the obvious one that no more than a few no-hitters occur each baseball season.

::: More generally, note that if you confine yourself to well-funded studies, then you limit yourself to what the funders of those studies want for their money. I'm interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions that no one is willing to fund and advertise.--[[User:Aschlafly|Aschlafly]] 21:48, 7 May 2008 (EDT)

Then let's look at the data. Refusal to allow your conclusions to be examined (which is the effect of hiding your methods) suggests something to hide. In addition to knowing the frequency of no hitters, it would be important to know the number of games pitched. That's the piece that we're missing here. [[User:Murray|Murray]] 23:04, 7 May 2008 (EDT)

::::But ''how many'' is 'a few' no-hitters? More than three, less than three? The answer affects whether they get into the Hall of Fame or not! As for going straight to real-world data, that's totally fine with me - I encourage you to go beyond the regular data, and I'll help. But wherever we get the data from, we STILL need to know two numbers:

::::A) Total number of young women between 18-45 in the 'Hollywood' business globally; and
::::B) Total number of those women who have contracted breast cancer.

::::Am I correct? [[User:StatsFan|StatsFan]] 22:11, 7 May 2008 (EDT)

::::: This obviously does require orignal research as no one has so far put up a study that is already done. If you are as you say "interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions" then that is what need to do, but this is the problem. You have a list of some names, what you don't have is
:::::# A working definition of 'Hollywood types'
:::::# The number of women in the age range you are interested in that meet your definition of Hollywood type.
:::::# The number of women in the age range you are interested in your definition of Hollywood type who have had breast cancer.
:::::If you had these three things then you would be able to do the test discribed above and be able to draw importatnt conclusions. All you have now is your list, some rather arbitrary and vague numbers, which to be honest, you just made-up based on what you think is right and a hypothesis which is testable which you have not done. [[User:DanielB|DanielB]] 23:55, 7 May 2008 (EDT)

Why doesnt Aschlafly answer these simple questions?
[[User:AdenJ|AdenJ]] 01:47, 8 May 2008 (EDT)

::The answer is obvious. He cannot. Or perhaps he will, after he makes up some "Schlafly statistics."--[[User:Whorton|Whorton]] 22:07, 8 May 2008 (EDT)

== Bias ==

One issue that I don't see addressed explicitly enough above (though I may have missed it, in which case apologies) is that of bias. I'll pick out just two sources of bias that (as far as I can see) completly undermine the article:
# What is the source of information on breast cancer cases among "Hollywood types"? It comes from the media, and is therefore heavily influenced by the Hollywood publicity machine and the priorities of the newspapers, TV channels, etc. The control group (the rest of the world, other female residents of California, whatever) is not subject to the same influences. Nobody reports a story about "32-year-old housewife dies of breast cancer". The only way to do this comparison is to ignore all information that comes from the media, and use an equivalent data source - which I guess means official epidemiological data - for both Hollywood and control groups.
# The selection of cases in the "Hollywood" group is subject to serious ''selection bias'', because a woman of roughly the right age and roughly the right profession is assigned to the group after (and perhaps, one suspects, ''because of'') the diagnosis. You must ''first'' define the population (the denominator) and ''then'' look to see how many of those who are in that population have the condition (the numerator).
I'd be very interested to see (a) the hypothetical causal link between a high incidence of breast cancer and "Hollywood" and (b) some proper data, properly gathered and analysed. Insistence that "it's obvious", and labeling those who ask for evidence as "liberals", is no substitute for a solid hypothesis, hard data, and a proper analysis. [[User:Humblpi|Humblpi]] 06:05, 8 May 2008 (EDT)

:Actually HumblePi is on to another problem that has been overlooked. You should start by defining 'Hollywood Types' before you collect your data not afterwards. [[User:DanielB|DanielB]] 21:35, 8 May 2008 (EDT)

::Actually, DanielB, that's not quite true - Mr.Schlafly has agreed that the Control Population is defined as "Global Women 18-45", and the study population is "Global Women 18-45 who are Performers in the Entertainment Business and have been diagnosed with breast cancer", but he has not yet provided figures for the former population - either we are waiting for him to provide these figures, or we are expected to calculate them, I'm not sure. He has however, provided us with the second population, a total of 20 women. However, I believe he needs to be a little more precise, as we need to more clearly define ''when'' these women were diagnosed, how far back in time we must do this study, how long they must have been in the business for, and a few other conditions. We also need a little more information from his as to his theory of causation - I think the suggestion is that somehow 'lifestyle' are involved, in which case we'll need to filter the Control Population for these lifestyle traits - and it's hard to do so without the details of what it is about the lifestyle we are to investigate. Mr.Schlafly? [[User:StatsFan|StatsFan]] 22:40, 8 May 2008 (EDT)

:::No – the study population cannot have “and have been diagnosed with breast cancer” as part of its definition. You must determine a study population and a control population before you look for breast cancer cases, and both groups must include women who may or may not have BC. The study population is “women in the entertainment industry,” or “Hollywood women.” [[User:Humblpi|Humblpi]] 05:55, 9 May 2008 (EDT)

== Reply ==

Folks, the comments above are long on talk and insults and short on insights. If none of the above naysayers are even willing to figure out why [[Hollywood]] types are expected to have higher incidence of breast cancer without even having to look at any data, then I'm wasting my time on this page.

In response to the request for a population, by the way, simply take the roughly 100 or so female pop singers (which I think I suggested before).--[[User:Aschlafly|Aschlafly]] 23:13, 8 May 2008 (EDT)

:It's not legitimate to take those 100 without knowing how the number was determined. Why the reluctance to clarify? And the cause is completely orthogonal to the question of whether the rate is elevated. [[User:Murray|Murray]] 23:48, 8 May 2008 (EDT)

:I’m sorry, Aschlafly, but I really have no idea what you mean. What is obvious? Why do you expect Hollywood types to have a higher incidence of breast cancer? But in any case (as Murray says), the hypothetical causal link is completely irrelevant to the study methods. And you have presented no data that provide any evidence whatsoever whether the incidence in Hollywood is higher, lower, or the same as that in the global population. Various people have pointed out flaws in the methodology. If you are not prepared to accept the help that is being offered, that's a pity. The ''Trustworthy Encyclopedia'' really should use trustworthy methods in its analysis. [[User:Humblpi|Humblpi]] 05:56, 9 May 2008 (EDT)

:It seems to me, (and forgive me if I'm wrong), but ''besides'' all of these young(ish) women being in show business (Hollywood-types) '''and''' being victims of breast cancer, thay all (must have) put their careers before the thought and "action" of having a family. It is a well known factor in risk assessment for BC that delaying childbirth or having an abortion has the likely but (of course) unsought side-effect of breast cancer. The woman so situated usually has the choice to advance her career '''or''' start her family but (often) the one comes at the expense of the other. [[User:MargeryCampbell|MargeryCampbell]] 12:45, 9 May 2008 (EDT)

:: Exactly right. God bless you for stating what should have been obvious to everyone else on this page. All who commented above on this page, please take note of what Margery Campbell (whom I do not know, but am honored to learn from) has just said.--[[User:Aschlafly|Aschlafly]] 13:07, 9 May 2008 (EDT)

Aschlafly, if what Margery said is what you actually meant then A) Why didnt you just state this a long time ago and avoid wasting your time and B) you just stated you learnt something from her which looks to me like you had no idea in the first place. Seems someone is straining to do some explaining.
[[User:AdenJ|AdenJ]] 17:31, 9 May 2008 (EDT)

:::But that simply ''doesn't make sense''. Of the first five in the list, one is the '''daughter''' of an actress, and one had two children in her early 20s. Not that this is even relevant - every time someone points out a flaw in your logic, you move the goalposts.[[User:PashaSuez|PashaSuez]] 15:19, 9 May 2008 (EDT)

== Shirley Temple ==

I am surprised that Shirley Temple remains to be included given the hypothesis proposed above. She was married at 17, had a daughter at age 19 (January 30, 1948 - Shirley was born April 23, 1928). She then had two more children - April 29, 1952, and April 9, 1954 (aged 24 and 26). It certainly doesn't sound like she was putting off having children nor her family life for her career. Could you please elaborate as to why Shirley Temple fits the hypothetical reasoning? --[[User:Rutm|Rutm]] 17:54, 9 May 2008 (EDT)

== Reversion explained ==

Merely having a relative who suffered from [[breast cancer]] does not explain a diagnosis at the young age of 31. As you can see from our entry on [[breast cancer]], one relative having had the disease is not dispositive. Something like 90% of breast cancer cases are not explained by family history.--[[User:Aschlafly|Aschlafly]] 18:16, 9 May 2008 (EDT)

:OK, but then what is the theory here? Because since most of these women did indeed have children, I can't see what the connections are to the theory? [[User:GaryK|GaryK]] 18:34, 9 May 2008 (EDT)

:: Reread what Margery Campbell said. It's not difficult to understand, and no subsequent comments have contradicted it.--[[User:Aschlafly|Aschlafly]] 20:06, 9 May 2008 (EDT)

:::If it's that airtight, I would think it would be time to publish it somewhere other than here. Where are you going to send it? [[User:Murray|Murray]] 20:45, 9 May 2008 (EDT)

:::: There's no need to publish it anywhere other than here. This site has an audience that is larger than most journals. If you take comfort in the [[censorship]] exercised by some [[liberals]], like that illustrated above, that comfort is misplaced and anachronistic. The truth is available from this site for those who seek it, and for those who do not seek the truth it may not matter to them anyway.--[[User:Aschlafly|Aschlafly]] 20:55, 9 May 2008 (EDT)

You know it occured to me Aschlalfy that when you are using the '100 or so singers' as an example you need to remove people like shirley temple from the list. You cant use her in relation to todays singers!
[[User:AdenJ|AdenJ]] 21:00, 9 May 2008 (EDT)

MR.Schlafly, please don't keep creating new sections, as the conversation starts to spread, and it seems you didn't read my comments from the section above, which I've now moved here for clarity:

::::Actually, Minnie Riperton had two children; Anastacia was the child of an entertainer and an actress; Soraya's mother herself had breast cancer (a cancer known to be strongly hereditary); Aisha Bicknell, daugther of an actress; Ann Jillian had a son; Amanda Mealing has two sons; Kylie Minogue is the daughter of an entertainer; Kate Jackson has a son; Jill Eikenberry has two children; Cynhtia Nixon has two children; Edie Falco is the daughter of an actress; Melissa Etheridge is gay; Julie Ege has two daughters; Shirley Temple had three children: Olivia Newton-John has a daughter; Sheryl Crow is the daughter of musicians.

::::It seems none of these individuals fit the thesis that is proposed here, and this 'mystery' seems like it doesn't exist, unless some better examples that fir the theory can be found. I vote for deletion unless the argument can be made in some sensible way that is not "because someone says it is so". [[User:GaryK|GaryK]] 16:22, 9 May 2008 (EDT)

:::::Re. Margery Campbell's theory, I'm afraid that for your theory to be valid, the women listed here would have to be childless, which is not true in most of the cases, as I've pointed out above. In fact, the cases listed in this article could not seem to have ''less'' relevance to such a theory, and without a shadow of a doubt, the case of Soraya needs to be removed, as in her case, it was clearly hereditary. So what is the proposed theory that is so obvious? [[User:GaryK|GaryK]] 17:50, 9 May 2008 (EDT)

Talk:Mystery:Young Hollywood Breast Cancer Victims

2008-05-10T01:19:11Z

GaryK: Moving my commentary as a response

Talk:Mystery:Young Hollywood Breast Cancer Victims

2008-05-09T22:34:58Z

GaryK: /* Reversion explained */

==Solved?==

There may be a solution to this, the '''average''' age for being diagnosed with breast cancer is 64, but this doesn't mean that people cannot get breast cancer until they are 64.

You have named five cases where breast cancer has been contracted at a younger age, out of a pool of possibly tens of thousands of subjects (noting that you have expanded the definition of Hollywood to include relatively minor Australian celebrities and musicians). This is well in check with broader society, sadly many people do suffer from breast cancer at a young age. Unless the proportion of young people in general suffering breast cancer is different to the proportion of young "Hollywoodians" suffering breast cancer then there really isn't a mystery here to solve.

The only way that anyone will be able to demonstrate the possibility that Hollywood promotes breast cancer is by using statistics which show that the average age of breast cancer in Hollywood is significantly lower than that of society in general. [[User:StatsMsn|StatsMsn]] 22:18, 3 May 2008 (EDT)

:Medline, one of the largest databases relating to medical articles, returned just two articles for a search of ""Breast Neoplasms (exp)" and "Hollywood". One of these only referenced Hollywood because to establish a timeframe (it was translated from Japanese, and used the term "Hollywood syndrome" in its title) whereas the other referred to the geographic location of a clinic. I think this establishes that there is no medical evidence supporting the claim that Hollywood somehow increases the likelihood of breast cancer. If you have alternative search terms or databases you want me to use post them here and I will. [[User:StatsMsn|StatsMsn]] 22:46, 3 May 2008 (EDT)

:: Conservapedia is not limited to [[liberal]] medical journals. We are smart enough, I submit, to observe facts ourselves and let the readers draw conclusions. We do not simply regurgitate readily available information here. We tell the truth, even if it is censored elsewhere.--[[User:Aschlafly|Aschlafly]] 23:19, 3 May 2008 (EDT)

:::Medline reports from almost all major medical journals, it does not discriminate based on political ideology. All you have done is listed a few cases and suggested that being famous and connected to Hollywood somehow increases the risk of breast cancer. You have not provided any evidence that the average age of breast cancer amongst stars is any less than the broader average. It is an unfortunate fact that young people do get breast cancer, but there is nothing to suggest that rate of young people in Hollywood being diagnosed with breast cancer is any different to the rate of young people in broader society. Until you refute this point you cannot claim that there is a mystery. [[User:StatsMsn|StatsMsn]] 23:26, 3 May 2008 (EDT)
:::Mr. Schlafly, as I can see it, you seem to be a fan of false causality. X happened to this person and that person meets Y criteria therefore the event X is related to the criteria Y. If 5 people with brown hair contracts testicular cancer, does that mean that having brown hair predisposes you to testicular cancer? Just because someone meets one criteria and also fits another criteria does not mean they are related. That is exactly why medical studies are done, to establish if there is '''repeated''' and '''explainable''' links between any two things. You have no idea of these individuals medical history. There are no sources whatsoever to back this claim. Individuals can claim anything they want, it is only statistics and studies that can help justify them.
- [[User:AndrasK|AndrasK]] 23:40, 3 May 2008 (EDT)

==A Demonstration==

It is suggested that Belinda Emmett being diagnosed with breast cancer at the age of 24 shows that Hollywood increases the risk of breast cancer.

There are around 20 million people in Australia, it's safe to assume that 10 million of those will be female. Using the statistics on the page 1 in 19,608 women will be diagnosed with breast cancer by the time they're 25, this is approximately 0.0051%. At this rate about 510 Australia women will have been diagnosed with breast cancer by the time they're 25.

Belinda Emmett is one person out of 510 who has been diagnosed with Breast cancer, this is a rate of about 0.2%. Now, film and television in Australia employs about 50,000 people [http://www.afact.org.au/factsheets/AFACT_Consumer_Guides_Internet.pdf] (the best figure I could find for now), this is approximately 0.5% of the population. Assuming that camerawomen and writers have also been diagnosed with breast cancer then I see no reason why the rate of women connected with "Hollywood" and who have been diagnosed with breast cancer is any lower than that of the broader population.

The reason Hollywood seems to have so many young stars being diagnosed with breast cancer is because these cases are very well publicised, but the sad truth is that many young women are diagnosed with breast cancer every year, and that their cases are largely forgotten. There is no mystery here, and there won't be until someone shows that the average age of breast cancer amongst Hollywood stars is any different to the rest of society. [[User:StatsMsn|StatsMsn]] 23:37, 3 May 2008 (EDT)

:Good sir, we don't repeat readily known facts here! This is a crusade, good sir, and we're here to EXPOSE the FACT that HOLLYWOOD causes BREAST cancer IN starlets! [[User:IndianaJ|IndianaJ]] 00:55, 4 May 2008 (EDT)

==Questions==
When are you going to realise that you cannot base statistical conclusions upon a non-random sample? You are selecting a category of people who are by definition, far, far younger than the normal population (actresses and pop stars being typically in an age range from 18-45). Therefore, any incidences of breast cancer you find within that population will of course appear to trend younger. Please, take Statistics 101 before jumping to such ludicrous conclusions - you're simply making a fool of yourself. [[User:Bongabill|Bongabill]] 14:19, 4 May 2008 (EDT)

: Bongabill, you're clueless. The 18-45 population of [[Hollywood]] certainly can be compared with the 18-45 general population as to incidence of disease. I doubt you've taken half the statistics courses that I have. You have typical [[liberal style]] in trying to intimidate.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

Sure it can be compared Andy, but you haven't done that. If you compare the number of young Hollywood breast cancer victims (of course you might want to define what you mean by that first) to the rest of the population in the same age group, fine. You haven't done that. You might also want to clarify where you got your 500 from - clearly an estimate, but based on what? [[User:Murray|Murray]] 17:47, 4 May 2008 (EDT)

: The [[Hollywood]] community is a well-understood population that consists of performers and entertainers in movies, television and music. Any ambiguity about that population is insignificant. The incidence of breast cancer in the general population by age is known, and an estimate of a population of 500 female [[Hollywood]] types under age 35 or so who would admit to having breast cancer due to performance demands or openness is a reasonable estimate within a factor of 2 or so.

: You're free to make suggestions on improving the accuracy. But the attempts below to censor the inquiry altogether are, of course, absurd.--[[User:Aschlafly|Aschlafly]] 18:29, 4 May 2008 (EDT)

::Mr.Schalfly, actually, I am a professional statistician with both graduate and post-graduate degrees in the subject, and also a 34 year professional career as a statistician working for the official statistics bureau of a major nation. Now, ''of course'' you can compare the 'Hollywood' 18-45 population to the general 18-45 population, but first you have to define that population. How are you defining ''your'' population? Is it that they are living in "Hollywood" - in which case it might be interesting to examine geographical factors upon the incidence of disease? No - as I see you are including Australians who live in the UK, people born in six different countries, and it seems none of the members of your data set are actually ''from'' the geographical region of ''Hollywood'', and in fact many of them do not even live there either. So how are you defining members of your data set?

::: Bongabill, we don't fall for the unproven claims of credentials here. Wikipedia might be a better home for you. Your claim is absurd that no conclusions can be drawn from comparing disease incidence among [[Hollywood]] types to the general population. Tell me, did you work for the tobacco industry also in denying that cigarettes cause cancer?--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

::Secondly, I note that your article does not compare your data set to the general 18-45 population, but instead compares it to the general population of 'all ages', quoting an ''average'' age of diagnosis of 64 - which is clearly outside your terms of reference. I'm afraid there's absolutely nothing correct here with any of your reasoning, which not only fails Statistics 101, but fails it in the first semester. This article is specious nonsense. [[User:Bongabill|Bongabill]] 14:59, 4 May 2008 (EDT)

::: Well, I'm glad you're not a professor then. Or are you going to claim that also??? Your "know nothing" approach and [[liberal denials]] are nonsensical.--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

:::Just to point out, Mr. Schlafly, you fell back on your "record" of statistical courses as evidence to your statistical competency. [[User:AndrasK|AndrasK] 15:27, 4 May 2008 (EDT)

::: Yes, I did, in response to [[credential bullying]].--[[User:Aschlafly|Aschlafly]] 18:20, 4 May 2008 (EDT)

::::Actually ASchalfly, it was indeed you who first raised the issue of credentials in this thread - your comment "I doubt you've taken half the statistics courses I have" came after Bongabill's first and only comment on Conservapedia, and which never mentioned his or her credentials. [[User:StatsFan|StatsFan]] 18:52, 4 May 2008 (EDT)

All right Andy, I'll make a couple of suggestions. I suggest clarifying the basis of the estimate that there are 500 Hollywood women under 35 who would admit to having breast cancer. I don't understand where the number comes from - what was the method or source used to come up with 500? If that's a good estimate, your comparison is potentially legitimate. Then, I would suggest you do an actual statistical test to determine whether the numbers are significantly different. [[User:Murray|Murray]] 18:48, 4 May 2008 (EDT)

: Female rock stars likely to admit to breast cancer (e.g., due to a performance schedule) number on the magnitude of, at most, 50; female movie stars under 35 are perhaps a 100-200, at most; and other female actresses are perhaps another 100-200. Just look at how many albums and movies are released each year. Also, note that many stars go out of their way to conceal and deny health problems, understandably so. If you dispute any of these numbers, then I'd like to hear why.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::I'm not disputing them, I'm asking where they came from. So you looked up how many albums and movies are typically released in a year and extrapolated from that? [[User:Murray|Murray]] 19:05, 4 May 2008 (EDT)

::: That provides a ballpark estimate. Given that the incidence in the [[Hollywood]] community is an order of magnitude larger than the general population, ballpark estimates are enough to reveal a problem.

::: Note that a ballpark estimate would have -- and should have -- demonstrated that cigarettes cause lung cancer a half century before people accepted it. Millions of lives would have been saved by acting on the evidence available rather than demanding unnecessary statistical detail. Surely you don't defend that.--[[User:Aschlafly|Aschlafly]] 19:34, 4 May 2008 (EDT)

::::Andy, my man, a "ballpark estimate" is one thing. Pulling numbers out y'arse is quite another. If this really means something to you, then go and do some ''proper'' research. Lord knows you've got enough time on your hands. Reliable numbers may or may not be forthcoming, but at least you'll have tried and you'll be able to argue from a much stronger position if you succeed. Meanwhile, I'd quietly retreat from this one if I were you.
::::Sincerely, --[[User:OscarPeterson|OscarPeterson]] 20:24, 4 May 2008 (EDT)

I wonder how many of those who were included in the list of breast cancer cases would be included in the list of 500. If that 500 is based on albums and movies released, it appears that many of those women shouldn't be included. Shirley Temple is the only movie star there. Most appear to be television actresses, and I suspect many more fall into that category than movie actresses. So I suspect that 500 is a pretty big underestimate. Either way though, if you want to make the case, you should include a real statistical analysis. For example, in the last sentence, you could say ''There is likely no more than 1000 in the population of Hollywood types under age 35 who would have publicly disclose breast cancer. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group. A chi-square test of proportions indicates that the difference between these groups is not statistically significant, X2 (1 df) = 3.62, p = .109.'' [[User:Murray|Murray]] 21:28, 4 May 2008 (EDT)

: Why stop at age 35? Try applying your approach to age 30.--[[User:Aschlafly|Aschlafly]] 22:25, 4 May 2008 (EDT)
::Mainly because I think the numbers given in the article have no basis in reality. The 500 is said to be based on the number of movies and albums released each year. According to [http://dissertations.ub.rug.nl/FILES/faculties/feb/2007/s.a.delre/c5.pdf] there are 473 movies each year - I think it's safe to say that nearly all have multiple women who would be included in this list if they had the misfortune to get breast cancer. And taking a look at the list, it's clear that the article is also referring to television actresses, in the US and across the world. So I think 500 is a gross underestimate. Even if the true population of female "Hollywood types" under 30 was 1000 (and I suspect it's more than that), the difference is not significant. [[User:Murray|Murray]] 23:28, 4 May 2008 (EDT)

::: The difference is significant, even if the 500 estimate is low. Realize that the estimate of 500 is not for all female singers and actresses, but only those who have performance schedules requiring disclosure of a personal health problem. A soap opera actress would be an example, of which there are perhaps only 50 in the relevant age group.

::: Multiple occurrences of a rarely occurring event are statistically significant, and it's incorrect to claim otherwise. There is nothing special about a baseball pitcher who throws only one no-hitter, but there is something special about one who throws three no-hitters, which is analogous to the data here.--[[User:Aschlafly|Aschlafly]] 23:42, 4 May 2008 (EDT)
::::::Well, see, there's a couple of problems with that analysis. Let's assume for the moment that your guesstimate of 500 actresses/singers at any one time whose schedules would necessitate an illness disclosure is roughly accurate. Problems: 1)Your examples are not drawn from a single point in time, but from over a period of decades (which would stretch the 500 to thousands). 2)Many of these women, while well-known, were ill at a time in their life when disclosure would not have been necessary (that is, when they were no longer active, and not part of the 500). 3) Many of your examples are deeply obscure, and certainly not part of the 500.--[[User:RossC|RossC]] 08:59, 5 May 2008 (EDT)

::::No, there's definitely something special about a pitcher who throws a no-hitter. -[[User:CSGuy|CSGuy]] 23:54, 4 May 2008 (EDT)

:: No,

:Murry you are compeletly wrong. You are using frequentist statistics which was created by that godless, evolution believing, eugenics supporting, [[liberal]] Fisher. It is inherently [[deceit|deceitful]]. You should instead use that devinly inspired Bayesian satitical methods. I suggest an uniform distribution aprior for your parameter. [[User:DanielB|DanielB]] 22:54, 4 May 2008 (EDT)

==An example of why this is fallacious reasoning==
# The incidence of homosexuality in the general population is about 2-3%[http://www.catholiceducation.org/articles/homosexuality/ho0095.html].
# Evangelical preachers Ted Haggard, Paul Barnes, and Roy Clements were found to be homosexuals.
# Our study shows incidence of homosexuality in Evangelical preachers is far, far greater than the general population and is instead 100%.
# Therefore, all Evangelicial preachers are gay.

Except there's just one thing - we know that's not true. So what's wrong with the reasoning? Selective sampling, that's what's wrong. And which is what you're doing in this article. [[User:Bongabill|Bongabill]] 14:33, 4 May 2008 (EDT)

: Bongabill, your reasoning is so absurd that it does not merit a response. Learn how to spell "fallacious" and return only if you can figure that out. Godspeed.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

:Can you point out logical discrepancies between your logic and his? Refusing to respond does not give you credit, it makes you seem even more wrong. If your argument is correct, then why can you not point out problems in his? And by the way, taunting someone regarding one simple spelling error is puerile. [[User:AndrasK|AndrasK]] 14:42, 4 May 2008 (EDT)

:: Well, duh, the incidence of homosexuality among evangelical preachers is 3 divided by thousands. Should I do the arithmetic for you?--[[User:Aschlafly|Aschlafly]] 15:14, 4 May 2008 (EDT)

:::Andy to try and translate Bongabill's reasoning into simpler terms: '''Selection bias/selective sampling is where the sample you choose for your study is rigged to give an inaccurate result'''. For example, let us suppose that Planned Parenthood did a study into teens and promiscuity and ecluded teens with STDs and tried to use that study to show teens were having "safe sex". Obviously this would be false since the sample was not ''representative'' of the teenage population. '''Likewise your sample (the list) is inaccurate since it only includes "hollywood" women who ever got breast cancer'''. Also to ignore Bongabill's point and to point out his spelling mistakes smacks of a childish ''ad homniem'' attack, to repeat AndrasK.[[User:Luder|Luder]] 16:05, 4 May 2008 (EDT)

This article is utter nonsense. The reasoning is absurd. It is just laughable. So you can name twenty well-known women who have had breast cancer. I can name twenty women I know who have had breast cancer. Does this mean women of my acquaintance are particularly susceptible? No, it's just a meaningless series of cases, anecdotal evidence of nothing whatsoever. This article is the same. Conservapedia really is a parody of itself! [[User:Humblpi|Humblpi]] 17:20, 4 May 2008 (EDT)

: Folks, your objections are incoherent. The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population. I realize that [[deliberate ignorance]] is a trademark [[liberal style]], but you're in the wrong place if you think you're going to censor attempts to compare those rates. It can and should be done.--[[User:Aschlafly|Aschlafly]] 18:19, 4 May 2008 (EDT)

::''The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population.'' So where is this done? It is simple (the number of Hollywood types that have breast cancer)/(the number of hollywood types) vs. (the number of the overall population that have breast cancer)/(the number of the overall population). You have failed to provide even the simple mean, neverless the variance in order to conduct a hypothesis test. [[User:DanielB|DanielB]] 18:38, 4 May 2008 (EDT)

:::DanielB, you're correct, but that's not all - you would also need to conduct a Chi-Squared Test on the result to see whether or not the variance in the data actually had any statistical significance. Different values are not necessarily statistically significant. There is no valid or relevant statistical analysis in this article, none whatsoever. [[User:StatsFan|StatsFan]] 18:44, 4 May 2008 (EDT)

:::: When the rates are vastly different, as in the case of lung cancer and cigarettes, conclusions can and should be drawn immediately based on the vast differences in the rates. Of course further investigation is welcome, but unlikely to alter the obvious conclusion.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::::: Vastlty different rates could be the result of the variance of your sample. Your sample size might be too small to draw conclusions or as StatsFan said it might not be significant. Andy you should research statistical hypothesis testing of Student and Fisher instead of being [[deliberate ignorance|deliberalty ignorant]] of them. [[User:DanielB|DanielB]] 19:03, 4 May 2008 (EDT)

:::::: See my reply to the more intelligent comments by Murray above.--[[User:Aschlafly|Aschlafly]] 19:35, 4 May 2008 (EDT)

::::::: What does by a factor of 2 mean? Do you mean a probabilty of less than 2% that the difference in means is a result of random sampling? As you have failed to establish a population size, how do you know the degrees of freedom of your t-distribution? You appear to have a vague understanding of statistic hypothesis testing without any actual working knowledge of how it works. [[User:DanielB|DanielB]] 20:42, 4 May 2008 (EDT)

==Question / Cause==
Just out of curiosity, I'm wondering what you're postulating is the cause of this apparent epidemic of breast cancer amongst the women of the entertainment industry. A paragraph or two regarding possible causation might help to round out the article.--[[User:RossC|RossC]] 09:04, 5 May 2008 (EDT)
:Based on [[Breast_cancer#Risk_factors|this]], perhaps [[Hollywood values]] encompass poor eating habits and abortions as well. [[User:Feebasfactor|Feebasfactor]] 13:18, 5 May 2008 (EDT)

:Those who don't have an open mind about a glaring 5-10x increase in breast cancer incidence in the [[Hollywood]] community are not likely to have an open mind about causation. The cancer deniers could make a bundle working for the tobacco industry, however.--[[User:Aschlafly|Aschlafly]] 13:31, 5 May 2008 (EDT)

:: From a factor of 2 to 5 to 10 times increase. These numbers are incredible and would be very impressive if you had any data what so ever to back this up. You have done no statistical analysis all you have done is make up "ballpark" numbers which suit your hypothesis. Get some data, analyse it and submit it to a medical journal if this as rock solid as you say. Otherwise there is no "mystery cause of Hollywood breast cancer" as you have failed to establish it is any higher than you might expect in the general population. [[User:DanielB|DanielB]] 02:01, 6 May 2008 (EDT)

So was I... on the right track then? I'd like to think I was being open-minded about causation by considering possible factors, but perhaps I've missed it anyway. :( [[User:Feebasfactor|Feebasfactor]] 18:01, 5 May 2008 (EDT)

::Geez, Andy, you're not going soft on us, are you? I don't think you've ever censored yourself before in deference to the closed-minded. Would you mind if I worked up a paragraph on causation, or would you rather just skip it? (I don't want to step on your toes) --[[User:RossC|RossC]] 14:18, 5 May 2008 (EDT)

::: RossC, I can't tell if you're serious or not. If you're serious, then please try to improve the entry. Godspeed.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)
:::: I am indeed serious (but don't fret--I get that a lot). I'll whip up a paragraph on possible causation when I have a bit more time (tomorrow, hopefully).--[[User:RossC|RossC]] 13:13, 6 May 2008 (EDT)

::::: You probably "get that a lot" because most of your edits, like your recent one on the Main Page, are not to be taken seriously. Try some substantive edits. You'll benefit yourself.--[[User:Aschlafly|Aschlafly]] 14:27, 6 May 2008 (EDT)

Your argument is hardly convincing.
[[User:AdenJ|AdenJ]] 13:53, 5 May 2008 (EDT)

::This does seem like a story that's not being covered in the MSM, and I think you've uncovered a real 'sleeper' news story with this original research. Do you have a press agent who can help you publicize it - can you get this into the news 'wires'? I'm sure various Hollywood press organs would be VERY interested in this story - why don't you try and get this to the LA Times, or Variety, or the Hollywood Reporter? This is Front Page material! [[User:RobCross|RobCross]] 14:07, 5 May 2008 (EDT)

::: Please tell them for us, RobCross. As you can see, the [[liberals]] are not happy about this, which means the publications you cite will not publish it.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)

Andy, maybe you should submit it to ''JPANDS''. [[User:Murray|Murray]] 11:00, 9 May 2008 (EDT)

Aschlafly, its not that 'liberals are unhappy with this' hence it wont get published any where. Its that if you tried to publish this you'd get laughed at because your methodology is so poor. If the was a causation somewhere do you really think you'd be the first person to spot it?
[[User:AdenJ|AdenJ]] 23:41, 5 May 2008 (EDT)

: Ah, there's that [[liberal]] over-reliance on mockery, point 25 of [[liberal style]]. You follow your style book well, AdenJ. Fortunately, not everyone is afraid of being "laughed at," particularly when the mockery is done to conceal causation of a deadly disease. It's not very funny when you realize what you're trying to conceal.--[[User:Aschlafly|Aschlafly]] 23:56, 5 May 2008 (EDT)

Ahhhhh, again Aschlafly you dont know anything at all about me so I wouldn't throw around the liberal rubbish. Not that I have to prove anything to you however I will advise that in my countrys elections I vote for the right. Anyways my point is that this 'article' is not all convincing to anyone.
[[User:AdenJ|AdenJ]] 00:00, 6 May 2008 (EDT)

What is the hypothesis about causation? [[User:Murray|Murray]] 23:57, 5 May 2008 (EDT)

:Andy, if you wouldn't mind... would you like to pose a possible hypothesis as to what causes this apparent increased rate of breast cancer in Hollywood? What do you think is the explanation to this mystery? I've taken a guess already, although I don't know if I'm on the right track. [[User:Feebasfactor|Feebasfactor]] 23:17, 8 May 2008 (EDT)

::Oh, nevermind... I see it was apparently solved after all. [[User:Feebasfactor|Feebasfactor]] 15:58, 9 May 2008 (EDT)

== Other factors and questions ==

I would first like to ask if 'Hollywood' is appropriate in the title. How many of these are Hollywood stars? Soap operas, British singers, etc. Shirley Temple retired from movies at 21 in 1949. She had been out of Hollywood for 20 years when she was diagnosed. And is 40 'young'? That also brings up the time frame question - does including a person who was diagnosed with cancer about 40 years ago fit in with trying to correlate it with people from today?

There is also the question of diagnosis. Early diagnosis is the key to identifying and surviving a battle with cancer. People who are wealthy tend to go to the doctor more often, routine check ups and preventive care rather than going to the emergency room. The people listed tend to be in the upper end of the pay spectrum and thus would go to and have access to better medical resources. As such, they would detect cancer at a younger age than those that don't have access to these resources.

The Mayo clinic suggests starting breast self exams at age 20.[http://www.mayoclinic.com/health/breast-self-exam/WO00026] I am curious if the women here would speak up about the age they started doing breast self exams and the age range that their doctors have informed them that breast cancer can develop along with the risk factors.

Another important factor is identifying family history. Do any of these individuals have a family history of cancer that would make them predisposed to it?

There is also the selection of data. Actresses are famous and everything they do or is done to them tends to find itself in the media. These are the things one would read at a supermarket check out (why is it even here - isn't it the liberal media and National Enquirer that is supposed to have an obsession with celebrities?). This ignores the millions of non-newsworthy men and women and the chances that they get cancer. The young woman down the street who is fighting breast cancer - thats not news and so it doesn't show up beyond a number somewhere. It is just easier to find a list and news reports of famous people.

If there is any statistical significance of this, the math should be shown by the person making the claim. --[[User:Rutm|Rutm]] 14:34, 5 May 2008 (EDT)

: The rates of breast cancer by age in the general population are well-known, and the rates in [[Hollywood]] are 5-10x times higher. You don't work for tobacco companies, do you? We don't need to deny the obvious and await 30 more years of [[censorship]].--[[User:Aschlafly|Aschlafly]] 16:04, 5 May 2008 (EDT)

:: Could you point to any study or news article akin to [http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2003/05/30/BA70131.DTL]? Have you ruled out other known risk factors? Where is the data to support this? I would be interested to see the data (rather than an list of 20 singers, actresses, and notables that at some time resided in Los Angeles) that supports the assertion. --[[User:Rutm|Rutm]] 16:11, 5 May 2008 (EDT)

::: I don't think that Mr Schlafly has to eliminate other risk factors. The claim is only that breast cancer is more prevalent amongst young 'Hollywood types' than others, not that the state of being a 'Hollywood type' causes breast cancer. He doesn't even claim that this this difference is statistically significant. To establish his claim all he has to do is come up with clear definitions of 'Hollywood type' and 'young', determine the size of this group (presumably fewer than the 546,969[http://www.imdb.com/database_statistics] actresses in the imdb database), take a representative sample thereof, determine the rate of early breast cancer within that group and compare it to the general population. --[[User:Jalapeno|Jalapeno]] 17:24, 5 May 2008 (EDT)

::: If anyone would like to work from some data - [http://statecancerprofiles.cancer.gov/cgi-bin/quickprofiles/profile.pl?06&055#incidence] has a table for breast cancer deaths by county in California. Orange county slightly above the mean in California for incidence, but is certainly not at the top of the list. I have yet to see any data suggesting the National Cancer Institutes's data is incorrect. --[[User:Rutm|Rutm]] 17:28, 5 May 2008 (EDT)

== [[Liberal Denial]] ==

The above [[liberal denial]]s are almost as interesting as the entry itself. Observe how no one objected to "Rutm"s observation that breast cancer deaths are higher in Orange County, yet every [[liberal]] here objected to the possibility that breast cancer rates are higher among [[Hollywood]] types. Ever here the expression "he protests too much"? It applies with full force here. There is nothing logical to the protests above, which merely underscores how important it is to publicize this information. The more it is irrationally denied, the more persuasive it becomes.--[[User:Aschlafly|Aschlafly]] 20:49, 6 May 2008 (EDT)

:Andy: (a) Hollywood isn't in Orange County. LA County is below the state average, according to Rutm's link. Even if it were higher, that says nothing about the rate in Hollywood, or among "Hollywood types". (b) Some of the comments above may be a bit strident. However, they raise challenges that haven't been answered. If you want to make this case, it would be better to show your methods and to actually do the math. The current approach is not convincing to those who understand statistics. [[User:Murray|Murray]] 21:47, 6 May 2008 (EDT)

::Andy the protest above are not about your conclusions they are about your compelete lack of data. What you are lacking is data. Rutm's observations are valid because they are based on data, something you lack. [[User:DanielB|DanielB]] 22:08, 6 May 2008 (EDT)

::: Murray and DanielB miss the point. I don't think we've seen such emotional denials of a health problem since the tobacco executives denied their products cause cancer, and they kept insisting on more and more and more data. The odds of finding three women victimized by breast cancer in their 20s is astronomically small, and requires a very large population sample. Three examples from the small community of [[Hollywood]], along with many other striking examples of young breast cancer victims, suggests a problem.

::: However, judging by the emotional denials, it's clear your minds are not open about this. You're not investigating further yourself; instead, the deniers are resorting to put-downs (e.g., "not convincing to those who understand statistics"). As is said, "you protest too much."--[[User:Aschlafly|Aschlafly]] 22:15, 6 May 2008 (EDT)

:::: Is it a small community? Do you have the exact number of people in this community or do you just have this strange 100-200 numbers from nowhere? You are making numbers up on gut instinct and calling it a sample. You would not get an arguement if you even had properly collected statistics.

:::: As for the tabbaco companies thay argued that correlation dose not equal causation. Something you yourself argued on many occasion, because it is true. Life expectancy goes up with the rate of TV ownership in a country, would you advocate giving third world nations TVs to increase there lifespan? [[User:DanielB|DanielB]] 22:33, 6 May 2008 (EDT)

::Demanding scientific evidence and accurate statistics is not protesting too much, it is common sense. [[User:AndrasK|AndrasK]] 22:22, 6 May 2008 (EDT)

The put-downs are on both sides, Andy ("emotional denial", "your minds are not open"). How about a compromise - if you will explain how you derived your sample size, a productive discussion can take place about whether or not this indicates an increased risk of breast cancer. Also, did you note above that the breast cancer rate in the county that Hollywood is in is actually lower than the state average? [[User:Murray|Murray]] 22:42, 6 May 2008 (EDT)

: My comments are not put-downs in the same sense as yours. Observing that a denial is emotional is not bullying, for example.

: Let's see if any of the deniers here will admit that, yes, it is quite possible that breast cancer incidence is higher in the [[Hollywood]] community than the general population. It's irrational if that admission is not forthcoming. (By the way, the physical county in which the town of Hollywood is located is obviously irrelevant because the issue is the lifestyle.)--[[User:Aschlafly|Aschlafly]] 22:54, 6 May 2008 (EDT)

::I disagree that your comments are not put-downs in the same sense, but we can disagree there. I apologize for the comment. I pointed out that Hollywood is not in Orange County because your comment above used the rate in Orange County to support your argument. Sure, I will happily admit that it is ''possible'' that the breast cancer rate in the Hollywood district of Los Angeles is higher than in the general population. It would be a powerful statement if it could be shown, given that the rate in all of LA County is lower than the rest of the state. However, I am not convinced by the arguments currently put forth here. As I mentioned above, it would be helpful to explain your methods, particularly the method for determining the size of the sample. It would also be useful to define "Hollywood types", because it appears that many of those in the list, including 1 in the under 30 section, did not live in Hollywood. Research in any field is heavily dependent on explanations of how variables were defined and measured, and on descriptions of how the sample was derived and who it was composed of. [[User:Murray|Murray]] 23:15, 6 May 2008 (EDT)

:::I also happily admit that "it is quite possible that breast cancer incidence is higher in the Hollywood community than the general population", and I'd be very happy to see Aschlafly's hypothesis proven, or disproven, or indeed to see any meaningful data one way or the other. My objection to this sort of pseudo-science is not emotional, and does not represent liberal or any other sort of denial. It's simply that the "conclusion" does not arise from any data. It's a misuse of epidemiological and statistical methods, an appeal to "science" merely to support a prejudice. For a start, you cannot make any comment on prevalence without first defining the population you are using as the denominator. I suggest that should be the first step. If you then ask a suitable question, and apply suitable methods to answer that question, that would be a couple more steps in the right direction. And if you can find anything that suports the contention that breast cancer is more prevalent among "Hollywood types" I'm sure even the "liberal medical journals" would be very interested in the study. [[User:Humblpi|Humblpi]] 01:38, 7 May 2008 (EDT)

Mr.Schlafly, we will ''happily'' admit that breast cancer ''might'' be higher in 'Hollywood' - if you can show that is the case, it is certainly really interesting, and some decent , substantiated research with figures you can stand over would make for a really major news story - and your work would be celebrated. '"Women working in the entertainment industry develop breast cancer at a much higher rate than normal'" is indeed headline news. We can help you to make a rock-solid case. Here's how to make your case watertight:

1. Define the population. It seems you're not really intending ''Hollywood'' to be a geographical term here, instead I believe you wish it to refer to 'women between 18-45 working in the entertainment business' - regardless of physical location. Nothing wrong with this so far, that's a perfectly reasonable population to analyse. Please correct my definition if you you think I'm paraphrasing you incorrectly. 
2. Determine the size of that population. This is where it starts to get tricky. A global figure for young women between the ages of 18-45 could be estimated easily enough, but the number of people involved in the entertainment business may be harder to determine. Do you wish your research to include, for example, hairdressers, make-up artists, production designers and art directors, as they would all work with the actors and singers and presumably work in a similar 'moral milleu'. One problem here is that these women would typically work in the presence of chemicals, some of which may or may not be carcinogenic, which would need to be factored into the equations. Another issue is - where does one include women from? Are young Chinese actresses as likely to succumb to the perceived 'moral milleu' of the film business of Hong Kong (not known for its strict moral code either). Might they be similarly affected? What about Indian girls in Bollywood? I notice that you are including Australians and UK residents, but what about French, German, Italians, etc? 
3. Assuming you can eventually determine the total size of the population, then determine the rates of breast cancer in that total population. This will be difficult, lengthy research, but it should be possible. It would likely take many years of research though, as you will require data from health monitoring organizations around the globe. 
4. Now factor in family medical histories, ethnic predispositions, working conditions, lifetime exposure to carcinogens, birth patterns, etc - and filter your data for these. 
5. Compare the breast cancer rates of your study to the breast cancer rates of the global population in general. Again, this shouldn't be too hard. 
6. Test any differences in your discovered cancer rates for statistical significance. Where you discover a trend, dig deeper into that data to ensure you are correct. 
7. Publish, and celebrate good research! 

Your hypothesis is interesting, but as yet unproven. But if we can be of any assistance, let us know. [[User:StatsFan|StatsFan]] 11:58, 7 May 2008 (EDT)

== Reply to the above ==

First, Murray, the popular term "Hollywood" refers to an ''industry'', not a place. Yes, I know, there is a small town called "Hollywood", but that is not what anyone means when they speak of the culture, lifestyle, values and industry of "Hollywood", as we are here. I'm astonished, frankly, that you take such a narrow, literal meaning of the word.

Second, I'm gratified to have wrestled out an admission for all here that, yes, Hollywood types may have higher and younger incidence of breast cancer than the general population. So why all the fuss? Read the comments above and anyone objective would see a determination to censor a discussion and investigation of something that all now admit is quite possible.

Third, looking at the data from a small population of successful, performing female pop singers, who number no more than 100, the rate of young breast cancer is astounding and many times, even orders of magnitude, higher than the rate in the general population. It's unmistakable.

Fourth, there are medical reasons why one would expect, without seeing any data, that Hollywood actresses would have higher rates of breast cancer. An astute, objective observer would expect it without seeing a single patient or reviewing data about a single case.--[[User:Aschlafly|Aschlafly]] 14:08, 7 May 2008 (EDT)

:Andy, I interpreted your reference to the "small community" as referring to the town itself. Apparently I misinterpreted. Nobody is attempting to censor any discussion. I am in fact trying to have a discussion. I will ask again, would you please explain the methods that you used to derive these numbers, particularly the sample sizes but also the number of cancer diagnoses? If you are correct, there is nothing to lose, and you can only gain from being transparent. I have my doubts as to whether the population is truly as small as you say. However, if you can show that it is, then your hypothesis is correct. This is a matter of statistics, not of ideology. An intro stats text will go into detail about why it is important to be clear and detailed about methodology, and that is what is missing here.

:Out of curiosity, what are those medical reasons? Regardless of what one would expect, one needs to show that the data back up the expectation.

:Finally, the "fuss" is not about the possibility. It is about making a claim and showing data that are not clear. It's possible that any community has a higher rate of breast cancer. Ashkenazi Jewish women, for example, are at greater risk for BRCA1 and BRCA2 mutations that are associated with breast cancer. But we know that because clear, detailed data have been published. [[User:Murray|Murray]] 14:19, 7 May 2008 (EDT)

::Mr.Schlafly, regarding your points:
::*First, yes, I understand you are referring to an industry and not a geographic location. There's nothing inherently wrong about you attempting to do so. '''Except''' that if you are defining it so, you need to define the 'what', 'how' and 'where' of that industry. Geographical locations make research easy, as essentially you can simply start by analysing data within US zip codes. But defining members of an industry is hard, particularly since the industry is global, and contains many people in many roles. Sadly, the UN, WHO, or any other organization doesn't break out its health, age, income, etc statistics into 'pop singers' and 'actresses', so we must instead do the work ourselves. So - how do you intend to define your population?
::*Secondly, it is one thing to admit that a possibility exists. But is entirely another to admit that that possibility is indeed the case. Would you be prepared to admit that web workers like yourself are more prone to testicular cancer? If I can find thirty people who work on the web and have testicular cancer, will you believe me? It may be so, and of course it's possible, but IS it so? Only proper research can tell. But if I claim it, you have every right to disagree with me.
::*Thirdly, here is where I must begin to disagree with you, and for very simply reasons. No, it is NOT possible to make assumptions based upon a non-random data set comprising members you have selected who have shown the condition. The population sample you provide is statistically biased, as it is non-random, and therefore does not properly represent the total population - all actresses and pop stars, including those who ''both do '''and do not''''' have breast cancer. You have selected it to only include actresses and pop singers with breast cancer. This sample does not include the very many pop singers and actresses who did ''not'' develop breast cancer. This common mistake has a name in statistical analysis, and is referred to as '[[Selection Bias]]'. Using the same method, I could equally list twenty CEO's of technology companies who are bald and claim that being a CEO causes baldness. But it would not make it true. I refer you to the famous 'joke' statistic that the rise and fall of the population of penguins in the Arctic is extremely tightly correlated with the UK Conservative party holding Government office (or Arts funding - the stories vary). These examples and others are used to show that [[Correlation]] '''never''' automatically implies [[Causation]]. As a result of your selection bias, it is false to say that your conclusion "is unmistakeable" - though it doesn't for a second mean we shouldn't investigate your claim.
::*Finally, what are those medical reasons? What is your proposed theory of causation?' Why would an acute observer expect it? If you can be a little more clear, it would help.

::Your case remains completely unproven speculation, but is nevertheless interesting. [[User:StatsFan|StatsFan]] 14:31, 7 May 2008 (EDT)

==Mathematical Outline for such a theory==

If I understand your theory correctly, the maths for your theory would work as follows (please correct me if I am wrong): 

First, evaluate Global Breast Cancer Incidence in the [[Control Population]], i.e. the 'world at large': 
A=Global Population of women aged 18-45 
B=Total number of women belonging to Set A diagnosed with breast cancer 
B/A = Y (Average Global percentage of breast cancer incidence in young women aged 18-45) 
 
Note that since our hypothesis is that 'Hollywood' or 'lifestyle values' are what we are testing for (since we assume you don't intend to prove that there are, for example, more carcinogens in movie trailers than elsewhere), it would be important to exclude from 'B' those breast cancers caused by hereditary, environmental factors and other non-lifestyle factors. 
 
Next, evaluate 'Hollywood' Breast Cancer Incidence: 
W=Global population of Actresses and Pop Singers aged 18-45 
X=Global population of Actresses and Pop Singers aged 18-45 diagnosed with breast cancer 
X/W = Z (Average Global percentage of breast cancer in 'Hollywood' women) 
 
(From this data set, we would also have to exclude those 'non-lifestyle' breast cancers as above).
 

If Z > Y, and passes the Chi Square Test, you're definitely onto something, and quite likely a large amount of funding would immediately be available for further research. But with A, B, W and X as yet undefined, as here, we don't have proof yet of the trend. But at least we have defined the numbers we are looking for, and we can continue to study your theory. [[User:StatsFan|StatsFan]] 17:57, 7 May 2008 (EDT)

: Your symbols add nothing here, and your conclusion that "quite likely a large amount of funding would immediately be available for further research" is absurd. The same hysterically [[liberal]] reaction posted on this talk page by others above would great any application for funding of this hypothesis. Such application would find the trashcan before a closed-minded recipient looked beyond its first page.

: That is all the more amusing when one realizes that there is a fundamental reason why [[Hollywood]] types must have higher breast cancer incidence than the general public. Get past the symbols and look at this with an open mind, and you'll see it too.--[[User:Aschlafly|Aschlafly]] 19:51, 7 May 2008 (EDT)

::If you disagree with the methodology described above, what mathematical methodology do you instead propose? And what is this "fundamental reason" you refer to? I'm just curious as to how to prove this hypothesis. [[User:StatsFan|StatsFan]] 19:54, 7 May 2008 (EDT)

::: I don't object to the methodology, but I don't think it adds anything meaningful to the issue. If I asked whether a pitcher of unknown name who has thrown at least three no-hitters should likely be in the Hall of Fame, your methodology is not going help answer the statistical question.--[[User:Aschlafly|Aschlafly]] 20:00, 7 May 2008 (EDT)

:::: The methodology allows other people to reproduce it and not require having an open mind or a statement from an authority. In making the claim "Hollywood types have higher breast cancer incidence than the general public" you are making a statement that can be tested. Thus, people want to know how you came to that conclusion and how to test it for themselves so they can see if it is true or not. --[[User:Rutm|Rutm]] 20:03, 7 May 2008 (EDT)

::::OK, great - we're on the same path then! I'm delighted we can see eye-to-eye on something at last. As to your analogy, it is interesting, but kind of irrelevant to this discussion. So, if you agree with the math, then let's get to work!

::::We know that C = approx. 1 in 93, from the NCI figures. But those numbers refer to all women below 45. The rate for women between 18-45 would be higher, we could make a reasonable guess at, say, 1 in 70 (since the rate for women below 50 is 1 in 50). And you suggest a rate that is an order of magnitude higher than normal, correct? That would be, say, 1 in 7. Now, we need to establish the value of both W and X, the total population of women 18-45 who are in the entertainment business, and those within that population who have been diagnosed with breast cancer. How do we obtain those numbers? [[User:StatsFan|StatsFan]] 20:08, 7 May 2008 (EDT)
:::::Do note that this is the number of women in the entertainment business at some point in their lives (Shirley Temple was retired from the industry for 20 years when she was diagnosed) over the past 80 years (Shirley Temple was born in 1928). This would include singers (country? bluegrass? pop? rock? musicals? vaudeville?), actresses (stage? TV? movies?). Also be sure to include people from around the world in this - Australian soap opera star, Puerto Rican actress, Norwegian actress. It would help to know what the hypothesis being tested is beyond the vague "people in entertainment." --[[User:Rutm|Rutm]] 20:28, 7 May 2008 (EDT)

Andy, I have 2 questions for you. First, will you share your methods for determining the size of the sample and the number of cases? Second, what is your hypothesis as to causality? Thanks. [[User:Murray|Murray]] 20:35, 7 May 2008 (EDT)

'''REPLY TO THE ABOVE''': We have the data that we have. We don't have a double-blind controlled study of millions of subjects. We never will. Smokers went 100 years without the kind of study the naysayers demand here. Does that mean no one could conclude that smoking causes lung cancer? Of course not. Watch your relatives who smoke drop dead and then don't ignore it. Ditto here for breast cancer and [[Hollywood]]. Tobacco companies to this day claim the studies are inclusive and more studies are needed. If determined enough, one can often claim that. The more interesting -- and more important -- challenge is to draw the conclusions that can be drawn from the data that are available. Look at the very small population of pop female singers and breast cancer incidence, open your minds, and don't deny something that has deadly consequences.--[[User:Aschlafly|Aschlafly]] 20:45, 7 May 2008 (EDT)

::I take it you are refusing to share your methods, though it would be nice if you would just say that. ''We have the data that we have.'' True enough, but you're the only one who knows what it looks like. [[User:Murray|Murray]] 21:16, 7 May 2008 (EDT)

Mr.Schalfly, you keep suggesting that people are somehow disagreeing about the deadly risks of tobacco, but no-one is - they are incontestable, and the CEO's of tobacco companies, and their lawyers, just look utterly foolish as they make their arguments that they are not deadly. But this thesis of yours, to be similarly incontestable, needs to be have solid reasoning behind it. I doubt you'd disagree with that? For example, if you are suggesting that approximately 1 in 7 is the risk factor for women between 18-45 in the 'Hollywood' industry, and you have listed 20 individuals, are you suggesting that the total population of 'Hollywood' types is really just 140 women? I'm simply trying to get to the bottom of the maths. [[User:StatsFan|StatsFan]] 20:55, 7 May 2008 (EDT)

One other note - the point you make about "watch your smoker relatives drop dead" is an excellent example of selective sampling. I had two uncle's who smoked until they died in their nineties, neither of smoking-related illnesses. It doesn't prove for a moment though that smoking does not kill - it simply shows the effects of selective bias. [[User:StatsFan|StatsFan]] 20:59, 7 May 2008 (EDT)

: StatsFan, of course counterexamples (your uncles) do not disprove causation. But examples often do indicate causation when it is a rarely expected phenomenon.

: Again, I ask you: is it likely that an unnamed pitcher who threw three no-hitters had an overall career worthy of the Hall of Fame? That is a statistical question that you should be able to answer, but your incessant demand for more data is not going to help you solve it. There is no further specific data to be disclosed in that question, nor is additional data necessary to answer it.--[[User:Aschlafly|Aschlafly]] 21:19, 7 May 2008 (EDT)

::I am indeed confused by your metaphor. For me to know the answer to that I would need to know if it was common for a pitcher to throw three no-hitters, and if many Hall f Famers had thrown three no-hitters? If I'm correct (and I apologize if I am confused by your analogy), you are suggesting that since the data you present is 'obvious', then young Hollywood women do indeed contract breast cancer at higher rates, yes? [[User:StatsFan|StatsFan]] 21:24, 7 May 2008 (EDT)

::: StatsFan, the only info you need is the obvious one that no more than a few no-hitters occur each baseball season.

::: More generally, note that if you confine yourself to well-funded studies, then you limit yourself to what the funders of those studies want for their money. I'm interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions that no one is willing to fund and advertise.--[[User:Aschlafly|Aschlafly]] 21:48, 7 May 2008 (EDT)

Then let's look at the data. Refusal to allow your conclusions to be examined (which is the effect of hiding your methods) suggests something to hide. In addition to knowing the frequency of no hitters, it would be important to know the number of games pitched. That's the piece that we're missing here. [[User:Murray|Murray]] 23:04, 7 May 2008 (EDT)

::::But ''how many'' is 'a few' no-hitters? More than three, less than three? The answer affects whether they get into the Hall of Fame or not! As for going straight to real-world data, that's totally fine with me - I encourage you to go beyond the regular data, and I'll help. But wherever we get the data from, we STILL need to know two numbers:

::::A) Total number of young women between 18-45 in the 'Hollywood' business globally; and
::::B) Total number of those women who have contracted breast cancer.

::::Am I correct? [[User:StatsFan|StatsFan]] 22:11, 7 May 2008 (EDT)

::::: This obviously does require orignal research as no one has so far put up a study that is already done. If you are as you say "interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions" then that is what need to do, but this is the problem. You have a list of some names, what you don't have is
:::::# A working definition of 'Hollywood types'
:::::# The number of women in the age range you are interested in that meet your definition of Hollywood type.
:::::# The number of women in the age range you are interested in your definition of Hollywood type who have had breast cancer.
:::::If you had these three things then you would be able to do the test discribed above and be able to draw importatnt conclusions. All you have now is your list, some rather arbitrary and vague numbers, which to be honest, you just made-up based on what you think is right and a hypothesis which is testable which you have not done. [[User:DanielB|DanielB]] 23:55, 7 May 2008 (EDT)

Why doesnt Aschlafly answer these simple questions?
[[User:AdenJ|AdenJ]] 01:47, 8 May 2008 (EDT)

::The answer is obvious. He cannot. Or perhaps he will, after he makes up some "Schlafly statistics."--[[User:Whorton|Whorton]] 22:07, 8 May 2008 (EDT)

== Bias ==

One issue that I don't see addressed explicitly enough above (though I may have missed it, in which case apologies) is that of bias. I'll pick out just two sources of bias that (as far as I can see) completly undermine the article:
# What is the source of information on breast cancer cases among "Hollywood types"? It comes from the media, and is therefore heavily influenced by the Hollywood publicity machine and the priorities of the newspapers, TV channels, etc. The control group (the rest of the world, other female residents of California, whatever) is not subject to the same influences. Nobody reports a story about "32-year-old housewife dies of breast cancer". The only way to do this comparison is to ignore all information that comes from the media, and use an equivalent data source - which I guess means official epidemiological data - for both Hollywood and control groups.
# The selection of cases in the "Hollywood" group is subject to serious ''selection bias'', because a woman of roughly the right age and roughly the right profession is assigned to the group after (and perhaps, one suspects, ''because of'') the diagnosis. You must ''first'' define the population (the denominator) and ''then'' look to see how many of those who are in that population have the condition (the numerator).
I'd be very interested to see (a) the hypothetical causal link between a high incidence of breast cancer and "Hollywood" and (b) some proper data, properly gathered and analysed. Insistence that "it's obvious", and labeling those who ask for evidence as "liberals", is no substitute for a solid hypothesis, hard data, and a proper analysis. [[User:Humblpi|Humblpi]] 06:05, 8 May 2008 (EDT)

:Actually HumblePi is on to another problem that has been overlooked. You should start by defining 'Hollywood Types' before you collect your data not afterwards. [[User:DanielB|DanielB]] 21:35, 8 May 2008 (EDT)

::Actually, DanielB, that's not quite true - Mr.Schlafly has agreed that the Control Population is defined as "Global Women 18-45", and the study population is "Global Women 18-45 who are Performers in the Entertainment Business and have been diagnosed with breast cancer", but he has not yet provided figures for the former population - either we are waiting for him to provide these figures, or we are expected to calculate them, I'm not sure. He has however, provided us with the second population, a total of 20 women. However, I believe he needs to be a little more precise, as we need to more clearly define ''when'' these women were diagnosed, how far back in time we must do this study, how long they must have been in the business for, and a few other conditions. We also need a little more information from his as to his theory of causation - I think the suggestion is that somehow 'lifestyle' are involved, in which case we'll need to filter the Control Population for these lifestyle traits - and it's hard to do so without the details of what it is about the lifestyle we are to investigate. Mr.Schlafly? [[User:StatsFan|StatsFan]] 22:40, 8 May 2008 (EDT)

:::No – the study population cannot have “and have been diagnosed with breast cancer” as part of its definition. You must determine a study population and a control population before you look for breast cancer cases, and both groups must include women who may or may not have BC. The study population is “women in the entertainment industry,” or “Hollywood women.” [[User:Humblpi|Humblpi]] 05:55, 9 May 2008 (EDT)

== Reply ==

Folks, the comments above are long on talk and insults and short on insights. If none of the above naysayers are even willing to figure out why [[Hollywood]] types are expected to have higher incidence of breast cancer without even having to look at any data, then I'm wasting my time on this page.

In response to the request for a population, by the way, simply take the roughly 100 or so female pop singers (which I think I suggested before).--[[User:Aschlafly|Aschlafly]] 23:13, 8 May 2008 (EDT)

:It's not legitimate to take those 100 without knowing how the number was determined. Why the reluctance to clarify? And the cause is completely orthogonal to the question of whether the rate is elevated. [[User:Murray|Murray]] 23:48, 8 May 2008 (EDT)

:I’m sorry, Aschlafly, but I really have no idea what you mean. What is obvious? Why do you expect Hollywood types to have a higher incidence of breast cancer? But in any case (as Murray says), the hypothetical causal link is completely irrelevant to the study methods. And you have presented no data that provide any evidence whatsoever whether the incidence in Hollywood is higher, lower, or the same as that in the global population. Various people have pointed out flaws in the methodology. If you are not prepared to accept the help that is being offered, that's a pity. The ''Trustworthy Encyclopedia'' really should use trustworthy methods in its analysis. [[User:Humblpi|Humblpi]] 05:56, 9 May 2008 (EDT)

:It seems to me, (and forgive me if I'm wrong), but ''besides'' all of these young(ish) women being in show business (Hollywood-types) '''and''' being victims of breast cancer, thay all (must have) put their careers before the thought and "action" of having a family. It is a well known factor in risk assessment for BC that delaying childbirth or having an abortion has the likely but (of course) unsought side-effect of breast cancer. The woman so situated usually has the choice to advance her career '''or''' start her family but (often) the one comes at the expense of the other. [[User:MargeryCampbell|MargeryCampbell]] 12:45, 9 May 2008 (EDT)

:: Exactly right. God bless you for stating what should have been obvious to everyone else on this page. All who commented above on this page, please take note of what Margery Campbell (whom I do not know, but am honored to learn from) has just said.--[[User:Aschlafly|Aschlafly]] 13:07, 9 May 2008 (EDT)

Aschlafly, if what Margery said is what you actually meant then A) Why didnt you just state this a long time ago and avoid wasting your time and B) you just stated you learnt something from her which looks to me like you had no idea in the first place. Seems someone is straining to do some explaining.
[[User:AdenJ|AdenJ]] 17:31, 9 May 2008 (EDT)

:::But that simply ''doesn't make sense''. Of the first five in the list, one is the '''daughter''' of an actress, and one had two children in her early 20s. Not that this is even relevant - every time someone points out a flaw in your logic, you move the goalposts.[[User:PashaSuez|PashaSuez]] 15:19, 9 May 2008 (EDT)

::::Actually, Minnie Riperton had two children; Anastacia was the child of an entertainer and an actress; Soraya's mother herself had breast cancer (a cancer known to be strongly hereditary); Aisha Bicknell, daugther of an actress; Ann Jillian had a son; Amanda Mealing has two sons; Kylie Minogue is the daughter of an entertainer; Kate Jackson has a son; Jill Eikenberry has two children; Cynhtia Nixon has two children; Edie Falco is the daughter of an actress; Melissa Etheridge is gay; Julie Ege has two daughters; Shirley Temple had three children: Olivia Newton-John has a daughter; Sheryl Crow is the daughter of musicians.

::::It seems none of these individuals fit the thesis that is proposed here, and this 'mystery' seems like it doesn't exist, unless some better examples that fir the theory can be found. I vote for deletion unless the argument can be made in some sensible way that is not "because someone says it is so". [[User:GaryK|GaryK]] 16:22, 9 May 2008 (EDT)

:::::Re. Margery Campbell's theory, I'm afraid that for your theory to be valid, the women listed here would have to be childless, which is not true in most of the cases, as I've pointed out above. In fact, the cases listed in this article could not seem to have ''less'' relevance to such a theory, and without a shadow of a doubt, the case of Soraya needs to be removed, as in her case, it was clearly hereditary. So what is the proposed theory that is so obvious? [[User:GaryK|GaryK]] 17:50, 9 May 2008 (EDT)

== Shirley Temple ==

I am surprised that Shirley Temple remains to be included given the hypothesis proposed above. She was married at 17, had a daughter at age 19 (January 30, 1948 - Shirley was born April 23, 1928). She then had two more children - April 29, 1952, and April 9, 1954 (aged 24 and 26). It certainly doesn't sound like she was putting off having children nor her family life for her career. Could you please elaborate as to why Shirley Temple fits the hypothetical reasoning? --[[User:Rutm|Rutm]] 17:54, 9 May 2008 (EDT)

== Reversion explained ==

Merely having a relative who suffered from [[breast cancer]] does not explain a diagnosis at the young age of 31. As you can see from our entry on [[breast cancer]], one relative having had the disease is not dispositive. Something like 90% of breast cancer cases are not explained by family history.--[[User:Aschlafly|Aschlafly]] 18:16, 9 May 2008 (EDT)

:OK, but then what is the theory here? Because since most of these women did indeed have children, I can't see what the connections are to the theory? [[User:GaryK|GaryK]] 18:34, 9 May 2008 (EDT)

Mystery:Young Hollywood Breast Cancer Victims

2008-05-09T21:59:20Z

GaryK: Removing case of Soraya, as her mother had breast cancer, and BC is well known to be a hereditary cancer

The average age of [[diagnosis]] of [[breast cancer]] is 64 years old.<ref>http://breastcancer.lifetips.com/cat/61849/breast-cancer-diagnosis/</ref>

In the [[Hollywood]] culture, however, there have been many tragic cases of breast cancer at far younger ages than expected:

* Australian soap opera star Belinda Emmett, who played in "Home and Away," was diagnosed with breast cancer at age 24.<ref>http://www.inthenews.co.uk/news/entertainment/tv/home-and-away-actress-dies-breast-cancer-$457408.htm</ref>
* American singer Minnie Riperton was diagnosed with breast cancer at age 28.<ref>http://www.imdb.com/name/nm0727986/</ref>
* Singer Anastacia was diagnosed with breast cancer at age 29.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>
* [[British]] Aisha Bicknell, daughter of actress Rita Tushingham, was diagnosed with breast cancer at age 33.<ref>http://www.telegraph.co.uk/health/main.jhtml?view=DETAILS&grid=&xml=/health/2006/08/21/hknack21.xml</ref>
* Puerto Rican actress Adamari López was diagnosed with breast cancer at age 34.<ref>http://www.imdb.com/name/nm0529982/bio</ref>
* American actress Ann Jillian was diagnosed with breast cancer at age 35.<ref>http://www.meredy.com/annjillian/</ref>
* [[British]] actress Amanda Mealing was diagnosed with breast cancer at age 35.<ref>http://www.holby.tv/db/index.php?id=41,1266,0,0,1,0</ref>
* American actress Danitra Vance was diagnosed with breast cancer at age 36.<ref>http://www.imdb.com/name/nm0888503/</ref>
* Australian pop star Kylie Minogue was diagnosed with breast cancer at age 36.<ref>http://www.cbsnews.com/stories/2005/05/17/entertainment/main695716.shtml</ref>
* American actress Oni Faida Lampley was diagnosed with breast cancer at age 37.<ref>http://www.answers.com/topic/oni-faida-lampley</ref>
* American actress Kate Jackson was diagnosed with breast cancer at age 39.
* American actress Jill Eikenberry was diagnosed with breast cancer at age 39.<ref>http://www.holby.tv/db/index.php?id=41,1266,0,0,1,0</ref>
* American actress Katy Cusack died from breast cancer at age 41, and was probably diagnosed with it in her late 30s.<ref>http://www.carolsutton.net/pink/famous_women_died_brcancer.html</ref><ref>http://www.austinchronicle.com/issues/vol15/issue16/arts.articulations.html</ref>
* American actress Cynthia Nixon was diagnosed with breast cancer at age 40.<ref>http://www.medicalnewstoday.com/articles/104294.php</ref><ref>http://www.imdb.com/name/nm0633223/</ref>
* American actress Edie Falco was diagnosed with breast cancer at age 40.<ref>http://www.imdb.com/name/nm0004908/bio</ref>
* Singer Melissa Etheridge was diagnosed with breast cancer at age 43.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>
* Norwegian actress and nude model Julie Ege was diagnosed with breast cancer at age 43.<ref>http://www.imdb.com/name/nm0250774/bio</ref>
* American actress [[Shirley Temple]] was diagnosed with breast cancer at age 44.<ref>http://www.imdb.com/name/nm0000073/bio</ref>
* Singers [[Olivia Newton-John]] and [[Sheryl Crow]] were each diagnosed with breast cancer at age 44.<ref>http://abcnews.go.com/GMA/OnCall/story?id=1666320&page=1</ref>

(add more)

== Risk by age ==

Here is the [[NCI]]'s published levels of risk by age in the [[United States]] (the risk is lower in other countries):<ref>http://www.mdanderson.org/topics/ethnicity/display.cfm?id=ffcc95a9-a03d-11d4-80fa00508b603a14&method=displayfull&pn=c1128f6f-4656-410d-96fa274b12a51d9d</ref>

By age 25: 1 in 19,608
 By age 30: 1 in 2,525
 By age 35: 1 in 622
 By age 40: 1 in 217
 By age 45: 1 in 93
 By age 50: 1 in 50
 By age 55: 1 in 33
 By age 60: 1 in 24
 By age 65: 1 in 17
 By age 70: 1 in 14
 By age 75: 1 in 11
 By age 80: 1 in 10
 By age 85: 1 in 9
 Ever: 1 in 8 (more accurately, 1 in 7.5 in the [[U.S.]])

== Analysis ==

Personal health is generally kept confidential, and there are financial reasons for one not to publicize his or her health problems. The disclosure can cause a loss in jobs or income. This is particularly true for [[Hollywood]] stars who rely on attractiveness and sex appeal. Michael J. Fox, for example, understandably kept his [[Parkinson's disease]] confidential for as long as he could.

But cancellation of appearances for health reasons begs explanations, and the population of [[Hollywood]] stars likely to disclose medical conditions will roughly be the size of those who are active in appearances, shows, movies, etc.

A rough estimate of this population is as follows. In the music world, perhaps there have been 50 women who are active, well-known performers willing to disclose a diagnosis of breast cancer. In the television and movie industry, perhaps there are 450 who fall into that category. The total population from which the above names are drawn is perhaps 500, depending on age.

The list of breast cancers above will grow, but already it is plainly way above the expected occurrence of the disease. For example, there are likely no more than 500 [[Hollywood]] performers under age 30 who would publicly disclose a condition of breast cancer, yet 3 developed breast cancer. But The typical incidence of that disease is only 2 out of 5000. The incidence in [[Hollywood]] appears to be more than 10 times that of the general population. If the population from which the above sample is drawn is twice as high, the incidence in [[Hollywood]] would still be more than 5 times the rate in the general population.

There is likely no more than 1000 in the population of [[Hollywood]] types under age 35 who would have publicly disclose breast cancer. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group.

(a start - improve)

== References ==

<references/>
[[Category:Mystery]]

Talk:Mystery:Young Hollywood Breast Cancer Victims

2008-05-09T21:50:51Z

GaryK: /* Reply */

==Solved?==

There may be a solution to this, the '''average''' age for being diagnosed with breast cancer is 64, but this doesn't mean that people cannot get breast cancer until they are 64.

You have named five cases where breast cancer has been contracted at a younger age, out of a pool of possibly tens of thousands of subjects (noting that you have expanded the definition of Hollywood to include relatively minor Australian celebrities and musicians). This is well in check with broader society, sadly many people do suffer from breast cancer at a young age. Unless the proportion of young people in general suffering breast cancer is different to the proportion of young "Hollywoodians" suffering breast cancer then there really isn't a mystery here to solve.

The only way that anyone will be able to demonstrate the possibility that Hollywood promotes breast cancer is by using statistics which show that the average age of breast cancer in Hollywood is significantly lower than that of society in general. [[User:StatsMsn|StatsMsn]] 22:18, 3 May 2008 (EDT)

:Medline, one of the largest databases relating to medical articles, returned just two articles for a search of ""Breast Neoplasms (exp)" and "Hollywood". One of these only referenced Hollywood because to establish a timeframe (it was translated from Japanese, and used the term "Hollywood syndrome" in its title) whereas the other referred to the geographic location of a clinic. I think this establishes that there is no medical evidence supporting the claim that Hollywood somehow increases the likelihood of breast cancer. If you have alternative search terms or databases you want me to use post them here and I will. [[User:StatsMsn|StatsMsn]] 22:46, 3 May 2008 (EDT)

:: Conservapedia is not limited to [[liberal]] medical journals. We are smart enough, I submit, to observe facts ourselves and let the readers draw conclusions. We do not simply regurgitate readily available information here. We tell the truth, even if it is censored elsewhere.--[[User:Aschlafly|Aschlafly]] 23:19, 3 May 2008 (EDT)

:::Medline reports from almost all major medical journals, it does not discriminate based on political ideology. All you have done is listed a few cases and suggested that being famous and connected to Hollywood somehow increases the risk of breast cancer. You have not provided any evidence that the average age of breast cancer amongst stars is any less than the broader average. It is an unfortunate fact that young people do get breast cancer, but there is nothing to suggest that rate of young people in Hollywood being diagnosed with breast cancer is any different to the rate of young people in broader society. Until you refute this point you cannot claim that there is a mystery. [[User:StatsMsn|StatsMsn]] 23:26, 3 May 2008 (EDT)
:::Mr. Schlafly, as I can see it, you seem to be a fan of false causality. X happened to this person and that person meets Y criteria therefore the event X is related to the criteria Y. If 5 people with brown hair contracts testicular cancer, does that mean that having brown hair predisposes you to testicular cancer? Just because someone meets one criteria and also fits another criteria does not mean they are related. That is exactly why medical studies are done, to establish if there is '''repeated''' and '''explainable''' links between any two things. You have no idea of these individuals medical history. There are no sources whatsoever to back this claim. Individuals can claim anything they want, it is only statistics and studies that can help justify them.
- [[User:AndrasK|AndrasK]] 23:40, 3 May 2008 (EDT)

==A Demonstration==

It is suggested that Belinda Emmett being diagnosed with breast cancer at the age of 24 shows that Hollywood increases the risk of breast cancer.

There are around 20 million people in Australia, it's safe to assume that 10 million of those will be female. Using the statistics on the page 1 in 19,608 women will be diagnosed with breast cancer by the time they're 25, this is approximately 0.0051%. At this rate about 510 Australia women will have been diagnosed with breast cancer by the time they're 25.

Belinda Emmett is one person out of 510 who has been diagnosed with Breast cancer, this is a rate of about 0.2%. Now, film and television in Australia employs about 50,000 people [http://www.afact.org.au/factsheets/AFACT_Consumer_Guides_Internet.pdf] (the best figure I could find for now), this is approximately 0.5% of the population. Assuming that camerawomen and writers have also been diagnosed with breast cancer then I see no reason why the rate of women connected with "Hollywood" and who have been diagnosed with breast cancer is any lower than that of the broader population.

The reason Hollywood seems to have so many young stars being diagnosed with breast cancer is because these cases are very well publicised, but the sad truth is that many young women are diagnosed with breast cancer every year, and that their cases are largely forgotten. There is no mystery here, and there won't be until someone shows that the average age of breast cancer amongst Hollywood stars is any different to the rest of society. [[User:StatsMsn|StatsMsn]] 23:37, 3 May 2008 (EDT)

:Good sir, we don't repeat readily known facts here! This is a crusade, good sir, and we're here to EXPOSE the FACT that HOLLYWOOD causes BREAST cancer IN starlets! [[User:IndianaJ|IndianaJ]] 00:55, 4 May 2008 (EDT)

==Questions==
When are you going to realise that you cannot base statistical conclusions upon a non-random sample? You are selecting a category of people who are by definition, far, far younger than the normal population (actresses and pop stars being typically in an age range from 18-45). Therefore, any incidences of breast cancer you find within that population will of course appear to trend younger. Please, take Statistics 101 before jumping to such ludicrous conclusions - you're simply making a fool of yourself. [[User:Bongabill|Bongabill]] 14:19, 4 May 2008 (EDT)

: Bongabill, you're clueless. The 18-45 population of [[Hollywood]] certainly can be compared with the 18-45 general population as to incidence of disease. I doubt you've taken half the statistics courses that I have. You have typical [[liberal style]] in trying to intimidate.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

Sure it can be compared Andy, but you haven't done that. If you compare the number of young Hollywood breast cancer victims (of course you might want to define what you mean by that first) to the rest of the population in the same age group, fine. You haven't done that. You might also want to clarify where you got your 500 from - clearly an estimate, but based on what? [[User:Murray|Murray]] 17:47, 4 May 2008 (EDT)

: The [[Hollywood]] community is a well-understood population that consists of performers and entertainers in movies, television and music. Any ambiguity about that population is insignificant. The incidence of breast cancer in the general population by age is known, and an estimate of a population of 500 female [[Hollywood]] types under age 35 or so who would admit to having breast cancer due to performance demands or openness is a reasonable estimate within a factor of 2 or so.

: You're free to make suggestions on improving the accuracy. But the attempts below to censor the inquiry altogether are, of course, absurd.--[[User:Aschlafly|Aschlafly]] 18:29, 4 May 2008 (EDT)

::Mr.Schalfly, actually, I am a professional statistician with both graduate and post-graduate degrees in the subject, and also a 34 year professional career as a statistician working for the official statistics bureau of a major nation. Now, ''of course'' you can compare the 'Hollywood' 18-45 population to the general 18-45 population, but first you have to define that population. How are you defining ''your'' population? Is it that they are living in "Hollywood" - in which case it might be interesting to examine geographical factors upon the incidence of disease? No - as I see you are including Australians who live in the UK, people born in six different countries, and it seems none of the members of your data set are actually ''from'' the geographical region of ''Hollywood'', and in fact many of them do not even live there either. So how are you defining members of your data set?

::: Bongabill, we don't fall for the unproven claims of credentials here. Wikipedia might be a better home for you. Your claim is absurd that no conclusions can be drawn from comparing disease incidence among [[Hollywood]] types to the general population. Tell me, did you work for the tobacco industry also in denying that cigarettes cause cancer?--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

::Secondly, I note that your article does not compare your data set to the general 18-45 population, but instead compares it to the general population of 'all ages', quoting an ''average'' age of diagnosis of 64 - which is clearly outside your terms of reference. I'm afraid there's absolutely nothing correct here with any of your reasoning, which not only fails Statistics 101, but fails it in the first semester. This article is specious nonsense. [[User:Bongabill|Bongabill]] 14:59, 4 May 2008 (EDT)

::: Well, I'm glad you're not a professor then. Or are you going to claim that also??? Your "know nothing" approach and [[liberal denials]] are nonsensical.--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

:::Just to point out, Mr. Schlafly, you fell back on your "record" of statistical courses as evidence to your statistical competency. [[User:AndrasK|AndrasK] 15:27, 4 May 2008 (EDT)

::: Yes, I did, in response to [[credential bullying]].--[[User:Aschlafly|Aschlafly]] 18:20, 4 May 2008 (EDT)

::::Actually ASchalfly, it was indeed you who first raised the issue of credentials in this thread - your comment "I doubt you've taken half the statistics courses I have" came after Bongabill's first and only comment on Conservapedia, and which never mentioned his or her credentials. [[User:StatsFan|StatsFan]] 18:52, 4 May 2008 (EDT)

All right Andy, I'll make a couple of suggestions. I suggest clarifying the basis of the estimate that there are 500 Hollywood women under 35 who would admit to having breast cancer. I don't understand where the number comes from - what was the method or source used to come up with 500? If that's a good estimate, your comparison is potentially legitimate. Then, I would suggest you do an actual statistical test to determine whether the numbers are significantly different. [[User:Murray|Murray]] 18:48, 4 May 2008 (EDT)

: Female rock stars likely to admit to breast cancer (e.g., due to a performance schedule) number on the magnitude of, at most, 50; female movie stars under 35 are perhaps a 100-200, at most; and other female actresses are perhaps another 100-200. Just look at how many albums and movies are released each year. Also, note that many stars go out of their way to conceal and deny health problems, understandably so. If you dispute any of these numbers, then I'd like to hear why.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::I'm not disputing them, I'm asking where they came from. So you looked up how many albums and movies are typically released in a year and extrapolated from that? [[User:Murray|Murray]] 19:05, 4 May 2008 (EDT)

::: That provides a ballpark estimate. Given that the incidence in the [[Hollywood]] community is an order of magnitude larger than the general population, ballpark estimates are enough to reveal a problem.

::: Note that a ballpark estimate would have -- and should have -- demonstrated that cigarettes cause lung cancer a half century before people accepted it. Millions of lives would have been saved by acting on the evidence available rather than demanding unnecessary statistical detail. Surely you don't defend that.--[[User:Aschlafly|Aschlafly]] 19:34, 4 May 2008 (EDT)

::::Andy, my man, a "ballpark estimate" is one thing. Pulling numbers out y'arse is quite another. If this really means something to you, then go and do some ''proper'' research. Lord knows you've got enough time on your hands. Reliable numbers may or may not be forthcoming, but at least you'll have tried and you'll be able to argue from a much stronger position if you succeed. Meanwhile, I'd quietly retreat from this one if I were you.
::::Sincerely, --[[User:OscarPeterson|OscarPeterson]] 20:24, 4 May 2008 (EDT)

I wonder how many of those who were included in the list of breast cancer cases would be included in the list of 500. If that 500 is based on albums and movies released, it appears that many of those women shouldn't be included. Shirley Temple is the only movie star there. Most appear to be television actresses, and I suspect many more fall into that category than movie actresses. So I suspect that 500 is a pretty big underestimate. Either way though, if you want to make the case, you should include a real statistical analysis. For example, in the last sentence, you could say ''There is likely no more than 1000 in the population of Hollywood types under age 35 who would have publicly disclose breast cancer. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group. A chi-square test of proportions indicates that the difference between these groups is not statistically significant, X2 (1 df) = 3.62, p = .109.'' [[User:Murray|Murray]] 21:28, 4 May 2008 (EDT)

: Why stop at age 35? Try applying your approach to age 30.--[[User:Aschlafly|Aschlafly]] 22:25, 4 May 2008 (EDT)
::Mainly because I think the numbers given in the article have no basis in reality. The 500 is said to be based on the number of movies and albums released each year. According to [http://dissertations.ub.rug.nl/FILES/faculties/feb/2007/s.a.delre/c5.pdf] there are 473 movies each year - I think it's safe to say that nearly all have multiple women who would be included in this list if they had the misfortune to get breast cancer. And taking a look at the list, it's clear that the article is also referring to television actresses, in the US and across the world. So I think 500 is a gross underestimate. Even if the true population of female "Hollywood types" under 30 was 1000 (and I suspect it's more than that), the difference is not significant. [[User:Murray|Murray]] 23:28, 4 May 2008 (EDT)

::: The difference is significant, even if the 500 estimate is low. Realize that the estimate of 500 is not for all female singers and actresses, but only those who have performance schedules requiring disclosure of a personal health problem. A soap opera actress would be an example, of which there are perhaps only 50 in the relevant age group.

::: Multiple occurrences of a rarely occurring event are statistically significant, and it's incorrect to claim otherwise. There is nothing special about a baseball pitcher who throws only one no-hitter, but there is something special about one who throws three no-hitters, which is analogous to the data here.--[[User:Aschlafly|Aschlafly]] 23:42, 4 May 2008 (EDT)
::::::Well, see, there's a couple of problems with that analysis. Let's assume for the moment that your guesstimate of 500 actresses/singers at any one time whose schedules would necessitate an illness disclosure is roughly accurate. Problems: 1)Your examples are not drawn from a single point in time, but from over a period of decades (which would stretch the 500 to thousands). 2)Many of these women, while well-known, were ill at a time in their life when disclosure would not have been necessary (that is, when they were no longer active, and not part of the 500). 3) Many of your examples are deeply obscure, and certainly not part of the 500.--[[User:RossC|RossC]] 08:59, 5 May 2008 (EDT)

::::No, there's definitely something special about a pitcher who throws a no-hitter. -[[User:CSGuy|CSGuy]] 23:54, 4 May 2008 (EDT)

:: No,

:Murry you are compeletly wrong. You are using frequentist statistics which was created by that godless, evolution believing, eugenics supporting, [[liberal]] Fisher. It is inherently [[deceit|deceitful]]. You should instead use that devinly inspired Bayesian satitical methods. I suggest an uniform distribution aprior for your parameter. [[User:DanielB|DanielB]] 22:54, 4 May 2008 (EDT)

==An example of why this is fallacious reasoning==
# The incidence of homosexuality in the general population is about 2-3%[http://www.catholiceducation.org/articles/homosexuality/ho0095.html].
# Evangelical preachers Ted Haggard, Paul Barnes, and Roy Clements were found to be homosexuals.
# Our study shows incidence of homosexuality in Evangelical preachers is far, far greater than the general population and is instead 100%.
# Therefore, all Evangelicial preachers are gay.

Except there's just one thing - we know that's not true. So what's wrong with the reasoning? Selective sampling, that's what's wrong. And which is what you're doing in this article. [[User:Bongabill|Bongabill]] 14:33, 4 May 2008 (EDT)

: Bongabill, your reasoning is so absurd that it does not merit a response. Learn how to spell "fallacious" and return only if you can figure that out. Godspeed.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

:Can you point out logical discrepancies between your logic and his? Refusing to respond does not give you credit, it makes you seem even more wrong. If your argument is correct, then why can you not point out problems in his? And by the way, taunting someone regarding one simple spelling error is puerile. [[User:AndrasK|AndrasK]] 14:42, 4 May 2008 (EDT)

:: Well, duh, the incidence of homosexuality among evangelical preachers is 3 divided by thousands. Should I do the arithmetic for you?--[[User:Aschlafly|Aschlafly]] 15:14, 4 May 2008 (EDT)

:::Andy to try and translate Bongabill's reasoning into simpler terms: '''Selection bias/selective sampling is where the sample you choose for your study is rigged to give an inaccurate result'''. For example, let us suppose that Planned Parenthood did a study into teens and promiscuity and ecluded teens with STDs and tried to use that study to show teens were having "safe sex". Obviously this would be false since the sample was not ''representative'' of the teenage population. '''Likewise your sample (the list) is inaccurate since it only includes "hollywood" women who ever got breast cancer'''. Also to ignore Bongabill's point and to point out his spelling mistakes smacks of a childish ''ad homniem'' attack, to repeat AndrasK.[[User:Luder|Luder]] 16:05, 4 May 2008 (EDT)

This article is utter nonsense. The reasoning is absurd. It is just laughable. So you can name twenty well-known women who have had breast cancer. I can name twenty women I know who have had breast cancer. Does this mean women of my acquaintance are particularly susceptible? No, it's just a meaningless series of cases, anecdotal evidence of nothing whatsoever. This article is the same. Conservapedia really is a parody of itself! [[User:Humblpi|Humblpi]] 17:20, 4 May 2008 (EDT)

: Folks, your objections are incoherent. The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population. I realize that [[deliberate ignorance]] is a trademark [[liberal style]], but you're in the wrong place if you think you're going to censor attempts to compare those rates. It can and should be done.--[[User:Aschlafly|Aschlafly]] 18:19, 4 May 2008 (EDT)

::''The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population.'' So where is this done? It is simple (the number of Hollywood types that have breast cancer)/(the number of hollywood types) vs. (the number of the overall population that have breast cancer)/(the number of the overall population). You have failed to provide even the simple mean, neverless the variance in order to conduct a hypothesis test. [[User:DanielB|DanielB]] 18:38, 4 May 2008 (EDT)

:::DanielB, you're correct, but that's not all - you would also need to conduct a Chi-Squared Test on the result to see whether or not the variance in the data actually had any statistical significance. Different values are not necessarily statistically significant. There is no valid or relevant statistical analysis in this article, none whatsoever. [[User:StatsFan|StatsFan]] 18:44, 4 May 2008 (EDT)

:::: When the rates are vastly different, as in the case of lung cancer and cigarettes, conclusions can and should be drawn immediately based on the vast differences in the rates. Of course further investigation is welcome, but unlikely to alter the obvious conclusion.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::::: Vastlty different rates could be the result of the variance of your sample. Your sample size might be too small to draw conclusions or as StatsFan said it might not be significant. Andy you should research statistical hypothesis testing of Student and Fisher instead of being [[deliberate ignorance|deliberalty ignorant]] of them. [[User:DanielB|DanielB]] 19:03, 4 May 2008 (EDT)

:::::: See my reply to the more intelligent comments by Murray above.--[[User:Aschlafly|Aschlafly]] 19:35, 4 May 2008 (EDT)

::::::: What does by a factor of 2 mean? Do you mean a probabilty of less than 2% that the difference in means is a result of random sampling? As you have failed to establish a population size, how do you know the degrees of freedom of your t-distribution? You appear to have a vague understanding of statistic hypothesis testing without any actual working knowledge of how it works. [[User:DanielB|DanielB]] 20:42, 4 May 2008 (EDT)

==Question / Cause==
Just out of curiosity, I'm wondering what you're postulating is the cause of this apparent epidemic of breast cancer amongst the women of the entertainment industry. A paragraph or two regarding possible causation might help to round out the article.--[[User:RossC|RossC]] 09:04, 5 May 2008 (EDT)
:Based on [[Breast_cancer#Risk_factors|this]], perhaps [[Hollywood values]] encompass poor eating habits and abortions as well. [[User:Feebasfactor|Feebasfactor]] 13:18, 5 May 2008 (EDT)

:Those who don't have an open mind about a glaring 5-10x increase in breast cancer incidence in the [[Hollywood]] community are not likely to have an open mind about causation. The cancer deniers could make a bundle working for the tobacco industry, however.--[[User:Aschlafly|Aschlafly]] 13:31, 5 May 2008 (EDT)

:: From a factor of 2 to 5 to 10 times increase. These numbers are incredible and would be very impressive if you had any data what so ever to back this up. You have done no statistical analysis all you have done is make up "ballpark" numbers which suit your hypothesis. Get some data, analyse it and submit it to a medical journal if this as rock solid as you say. Otherwise there is no "mystery cause of Hollywood breast cancer" as you have failed to establish it is any higher than you might expect in the general population. [[User:DanielB|DanielB]] 02:01, 6 May 2008 (EDT)

So was I... on the right track then? I'd like to think I was being open-minded about causation by considering possible factors, but perhaps I've missed it anyway. :( [[User:Feebasfactor|Feebasfactor]] 18:01, 5 May 2008 (EDT)

::Geez, Andy, you're not going soft on us, are you? I don't think you've ever censored yourself before in deference to the closed-minded. Would you mind if I worked up a paragraph on causation, or would you rather just skip it? (I don't want to step on your toes) --[[User:RossC|RossC]] 14:18, 5 May 2008 (EDT)

::: RossC, I can't tell if you're serious or not. If you're serious, then please try to improve the entry. Godspeed.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)
:::: I am indeed serious (but don't fret--I get that a lot). I'll whip up a paragraph on possible causation when I have a bit more time (tomorrow, hopefully).--[[User:RossC|RossC]] 13:13, 6 May 2008 (EDT)

::::: You probably "get that a lot" because most of your edits, like your recent one on the Main Page, are not to be taken seriously. Try some substantive edits. You'll benefit yourself.--[[User:Aschlafly|Aschlafly]] 14:27, 6 May 2008 (EDT)

Your argument is hardly convincing.
[[User:AdenJ|AdenJ]] 13:53, 5 May 2008 (EDT)

::This does seem like a story that's not being covered in the MSM, and I think you've uncovered a real 'sleeper' news story with this original research. Do you have a press agent who can help you publicize it - can you get this into the news 'wires'? I'm sure various Hollywood press organs would be VERY interested in this story - why don't you try and get this to the LA Times, or Variety, or the Hollywood Reporter? This is Front Page material! [[User:RobCross|RobCross]] 14:07, 5 May 2008 (EDT)

::: Please tell them for us, RobCross. As you can see, the [[liberals]] are not happy about this, which means the publications you cite will not publish it.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)

Andy, maybe you should submit it to ''JPANDS''. [[User:Murray|Murray]] 11:00, 9 May 2008 (EDT)

Aschlafly, its not that 'liberals are unhappy with this' hence it wont get published any where. Its that if you tried to publish this you'd get laughed at because your methodology is so poor. If the was a causation somewhere do you really think you'd be the first person to spot it?
[[User:AdenJ|AdenJ]] 23:41, 5 May 2008 (EDT)

: Ah, there's that [[liberal]] over-reliance on mockery, point 25 of [[liberal style]]. You follow your style book well, AdenJ. Fortunately, not everyone is afraid of being "laughed at," particularly when the mockery is done to conceal causation of a deadly disease. It's not very funny when you realize what you're trying to conceal.--[[User:Aschlafly|Aschlafly]] 23:56, 5 May 2008 (EDT)

Ahhhhh, again Aschlafly you dont know anything at all about me so I wouldn't throw around the liberal rubbish. Not that I have to prove anything to you however I will advise that in my countrys elections I vote for the right. Anyways my point is that this 'article' is not all convincing to anyone.
[[User:AdenJ|AdenJ]] 00:00, 6 May 2008 (EDT)

What is the hypothesis about causation? [[User:Murray|Murray]] 23:57, 5 May 2008 (EDT)

:Andy, if you wouldn't mind... would you like to pose a possible hypothesis as to what causes this apparent increased rate of breast cancer in Hollywood? What do you think is the explanation to this mystery? I've taken a guess already, although I don't know if I'm on the right track. [[User:Feebasfactor|Feebasfactor]] 23:17, 8 May 2008 (EDT)

::Oh, nevermind... I see it was apparently solved after all. [[User:Feebasfactor|Feebasfactor]] 15:58, 9 May 2008 (EDT)

== Other factors and questions ==

I would first like to ask if 'Hollywood' is appropriate in the title. How many of these are Hollywood stars? Soap operas, British singers, etc. Shirley Temple retired from movies at 21 in 1949. She had been out of Hollywood for 20 years when she was diagnosed. And is 40 'young'? That also brings up the time frame question - does including a person who was diagnosed with cancer about 40 years ago fit in with trying to correlate it with people from today?

There is also the question of diagnosis. Early diagnosis is the key to identifying and surviving a battle with cancer. People who are wealthy tend to go to the doctor more often, routine check ups and preventive care rather than going to the emergency room. The people listed tend to be in the upper end of the pay spectrum and thus would go to and have access to better medical resources. As such, they would detect cancer at a younger age than those that don't have access to these resources.

The Mayo clinic suggests starting breast self exams at age 20.[http://www.mayoclinic.com/health/breast-self-exam/WO00026] I am curious if the women here would speak up about the age they started doing breast self exams and the age range that their doctors have informed them that breast cancer can develop along with the risk factors.

Another important factor is identifying family history. Do any of these individuals have a family history of cancer that would make them predisposed to it?

There is also the selection of data. Actresses are famous and everything they do or is done to them tends to find itself in the media. These are the things one would read at a supermarket check out (why is it even here - isn't it the liberal media and National Enquirer that is supposed to have an obsession with celebrities?). This ignores the millions of non-newsworthy men and women and the chances that they get cancer. The young woman down the street who is fighting breast cancer - thats not news and so it doesn't show up beyond a number somewhere. It is just easier to find a list and news reports of famous people.

If there is any statistical significance of this, the math should be shown by the person making the claim. --[[User:Rutm|Rutm]] 14:34, 5 May 2008 (EDT)

: The rates of breast cancer by age in the general population are well-known, and the rates in [[Hollywood]] are 5-10x times higher. You don't work for tobacco companies, do you? We don't need to deny the obvious and await 30 more years of [[censorship]].--[[User:Aschlafly|Aschlafly]] 16:04, 5 May 2008 (EDT)

:: Could you point to any study or news article akin to [http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2003/05/30/BA70131.DTL]? Have you ruled out other known risk factors? Where is the data to support this? I would be interested to see the data (rather than an list of 20 singers, actresses, and notables that at some time resided in Los Angeles) that supports the assertion. --[[User:Rutm|Rutm]] 16:11, 5 May 2008 (EDT)

::: I don't think that Mr Schlafly has to eliminate other risk factors. The claim is only that breast cancer is more prevalent amongst young 'Hollywood types' than others, not that the state of being a 'Hollywood type' causes breast cancer. He doesn't even claim that this this difference is statistically significant. To establish his claim all he has to do is come up with clear definitions of 'Hollywood type' and 'young', determine the size of this group (presumably fewer than the 546,969[http://www.imdb.com/database_statistics] actresses in the imdb database), take a representative sample thereof, determine the rate of early breast cancer within that group and compare it to the general population. --[[User:Jalapeno|Jalapeno]] 17:24, 5 May 2008 (EDT)

::: If anyone would like to work from some data - [http://statecancerprofiles.cancer.gov/cgi-bin/quickprofiles/profile.pl?06&055#incidence] has a table for breast cancer deaths by county in California. Orange county slightly above the mean in California for incidence, but is certainly not at the top of the list. I have yet to see any data suggesting the National Cancer Institutes's data is incorrect. --[[User:Rutm|Rutm]] 17:28, 5 May 2008 (EDT)

== [[Liberal Denial]] ==

The above [[liberal denial]]s are almost as interesting as the entry itself. Observe how no one objected to "Rutm"s observation that breast cancer deaths are higher in Orange County, yet every [[liberal]] here objected to the possibility that breast cancer rates are higher among [[Hollywood]] types. Ever here the expression "he protests too much"? It applies with full force here. There is nothing logical to the protests above, which merely underscores how important it is to publicize this information. The more it is irrationally denied, the more persuasive it becomes.--[[User:Aschlafly|Aschlafly]] 20:49, 6 May 2008 (EDT)

:Andy: (a) Hollywood isn't in Orange County. LA County is below the state average, according to Rutm's link. Even if it were higher, that says nothing about the rate in Hollywood, or among "Hollywood types". (b) Some of the comments above may be a bit strident. However, they raise challenges that haven't been answered. If you want to make this case, it would be better to show your methods and to actually do the math. The current approach is not convincing to those who understand statistics. [[User:Murray|Murray]] 21:47, 6 May 2008 (EDT)

::Andy the protest above are not about your conclusions they are about your compelete lack of data. What you are lacking is data. Rutm's observations are valid because they are based on data, something you lack. [[User:DanielB|DanielB]] 22:08, 6 May 2008 (EDT)

::: Murray and DanielB miss the point. I don't think we've seen such emotional denials of a health problem since the tobacco executives denied their products cause cancer, and they kept insisting on more and more and more data. The odds of finding three women victimized by breast cancer in their 20s is astronomically small, and requires a very large population sample. Three examples from the small community of [[Hollywood]], along with many other striking examples of young breast cancer victims, suggests a problem.

::: However, judging by the emotional denials, it's clear your minds are not open about this. You're not investigating further yourself; instead, the deniers are resorting to put-downs (e.g., "not convincing to those who understand statistics"). As is said, "you protest too much."--[[User:Aschlafly|Aschlafly]] 22:15, 6 May 2008 (EDT)

:::: Is it a small community? Do you have the exact number of people in this community or do you just have this strange 100-200 numbers from nowhere? You are making numbers up on gut instinct and calling it a sample. You would not get an arguement if you even had properly collected statistics.

:::: As for the tabbaco companies thay argued that correlation dose not equal causation. Something you yourself argued on many occasion, because it is true. Life expectancy goes up with the rate of TV ownership in a country, would you advocate giving third world nations TVs to increase there lifespan? [[User:DanielB|DanielB]] 22:33, 6 May 2008 (EDT)

::Demanding scientific evidence and accurate statistics is not protesting too much, it is common sense. [[User:AndrasK|AndrasK]] 22:22, 6 May 2008 (EDT)

The put-downs are on both sides, Andy ("emotional denial", "your minds are not open"). How about a compromise - if you will explain how you derived your sample size, a productive discussion can take place about whether or not this indicates an increased risk of breast cancer. Also, did you note above that the breast cancer rate in the county that Hollywood is in is actually lower than the state average? [[User:Murray|Murray]] 22:42, 6 May 2008 (EDT)

: My comments are not put-downs in the same sense as yours. Observing that a denial is emotional is not bullying, for example.

: Let's see if any of the deniers here will admit that, yes, it is quite possible that breast cancer incidence is higher in the [[Hollywood]] community than the general population. It's irrational if that admission is not forthcoming. (By the way, the physical county in which the town of Hollywood is located is obviously irrelevant because the issue is the lifestyle.)--[[User:Aschlafly|Aschlafly]] 22:54, 6 May 2008 (EDT)

::I disagree that your comments are not put-downs in the same sense, but we can disagree there. I apologize for the comment. I pointed out that Hollywood is not in Orange County because your comment above used the rate in Orange County to support your argument. Sure, I will happily admit that it is ''possible'' that the breast cancer rate in the Hollywood district of Los Angeles is higher than in the general population. It would be a powerful statement if it could be shown, given that the rate in all of LA County is lower than the rest of the state. However, I am not convinced by the arguments currently put forth here. As I mentioned above, it would be helpful to explain your methods, particularly the method for determining the size of the sample. It would also be useful to define "Hollywood types", because it appears that many of those in the list, including 1 in the under 30 section, did not live in Hollywood. Research in any field is heavily dependent on explanations of how variables were defined and measured, and on descriptions of how the sample was derived and who it was composed of. [[User:Murray|Murray]] 23:15, 6 May 2008 (EDT)

:::I also happily admit that "it is quite possible that breast cancer incidence is higher in the Hollywood community than the general population", and I'd be very happy to see Aschlafly's hypothesis proven, or disproven, or indeed to see any meaningful data one way or the other. My objection to this sort of pseudo-science is not emotional, and does not represent liberal or any other sort of denial. It's simply that the "conclusion" does not arise from any data. It's a misuse of epidemiological and statistical methods, an appeal to "science" merely to support a prejudice. For a start, you cannot make any comment on prevalence without first defining the population you are using as the denominator. I suggest that should be the first step. If you then ask a suitable question, and apply suitable methods to answer that question, that would be a couple more steps in the right direction. And if you can find anything that suports the contention that breast cancer is more prevalent among "Hollywood types" I'm sure even the "liberal medical journals" would be very interested in the study. [[User:Humblpi|Humblpi]] 01:38, 7 May 2008 (EDT)

Mr.Schlafly, we will ''happily'' admit that breast cancer ''might'' be higher in 'Hollywood' - if you can show that is the case, it is certainly really interesting, and some decent , substantiated research with figures you can stand over would make for a really major news story - and your work would be celebrated. '"Women working in the entertainment industry develop breast cancer at a much higher rate than normal'" is indeed headline news. We can help you to make a rock-solid case. Here's how to make your case watertight:

1. Define the population. It seems you're not really intending ''Hollywood'' to be a geographical term here, instead I believe you wish it to refer to 'women between 18-45 working in the entertainment business' - regardless of physical location. Nothing wrong with this so far, that's a perfectly reasonable population to analyse. Please correct my definition if you you think I'm paraphrasing you incorrectly. 
2. Determine the size of that population. This is where it starts to get tricky. A global figure for young women between the ages of 18-45 could be estimated easily enough, but the number of people involved in the entertainment business may be harder to determine. Do you wish your research to include, for example, hairdressers, make-up artists, production designers and art directors, as they would all work with the actors and singers and presumably work in a similar 'moral milleu'. One problem here is that these women would typically work in the presence of chemicals, some of which may or may not be carcinogenic, which would need to be factored into the equations. Another issue is - where does one include women from? Are young Chinese actresses as likely to succumb to the perceived 'moral milleu' of the film business of Hong Kong (not known for its strict moral code either). Might they be similarly affected? What about Indian girls in Bollywood? I notice that you are including Australians and UK residents, but what about French, German, Italians, etc? 
3. Assuming you can eventually determine the total size of the population, then determine the rates of breast cancer in that total population. This will be difficult, lengthy research, but it should be possible. It would likely take many years of research though, as you will require data from health monitoring organizations around the globe. 
4. Now factor in family medical histories, ethnic predispositions, working conditions, lifetime exposure to carcinogens, birth patterns, etc - and filter your data for these. 
5. Compare the breast cancer rates of your study to the breast cancer rates of the global population in general. Again, this shouldn't be too hard. 
6. Test any differences in your discovered cancer rates for statistical significance. Where you discover a trend, dig deeper into that data to ensure you are correct. 
7. Publish, and celebrate good research! 

Your hypothesis is interesting, but as yet unproven. But if we can be of any assistance, let us know. [[User:StatsFan|StatsFan]] 11:58, 7 May 2008 (EDT)

== Reply to the above ==

First, Murray, the popular term "Hollywood" refers to an ''industry'', not a place. Yes, I know, there is a small town called "Hollywood", but that is not what anyone means when they speak of the culture, lifestyle, values and industry of "Hollywood", as we are here. I'm astonished, frankly, that you take such a narrow, literal meaning of the word.

Second, I'm gratified to have wrestled out an admission for all here that, yes, Hollywood types may have higher and younger incidence of breast cancer than the general population. So why all the fuss? Read the comments above and anyone objective would see a determination to censor a discussion and investigation of something that all now admit is quite possible.

Third, looking at the data from a small population of successful, performing female pop singers, who number no more than 100, the rate of young breast cancer is astounding and many times, even orders of magnitude, higher than the rate in the general population. It's unmistakable.

Fourth, there are medical reasons why one would expect, without seeing any data, that Hollywood actresses would have higher rates of breast cancer. An astute, objective observer would expect it without seeing a single patient or reviewing data about a single case.--[[User:Aschlafly|Aschlafly]] 14:08, 7 May 2008 (EDT)

:Andy, I interpreted your reference to the "small community" as referring to the town itself. Apparently I misinterpreted. Nobody is attempting to censor any discussion. I am in fact trying to have a discussion. I will ask again, would you please explain the methods that you used to derive these numbers, particularly the sample sizes but also the number of cancer diagnoses? If you are correct, there is nothing to lose, and you can only gain from being transparent. I have my doubts as to whether the population is truly as small as you say. However, if you can show that it is, then your hypothesis is correct. This is a matter of statistics, not of ideology. An intro stats text will go into detail about why it is important to be clear and detailed about methodology, and that is what is missing here.

:Out of curiosity, what are those medical reasons? Regardless of what one would expect, one needs to show that the data back up the expectation.

:Finally, the "fuss" is not about the possibility. It is about making a claim and showing data that are not clear. It's possible that any community has a higher rate of breast cancer. Ashkenazi Jewish women, for example, are at greater risk for BRCA1 and BRCA2 mutations that are associated with breast cancer. But we know that because clear, detailed data have been published. [[User:Murray|Murray]] 14:19, 7 May 2008 (EDT)

::Mr.Schlafly, regarding your points:
::*First, yes, I understand you are referring to an industry and not a geographic location. There's nothing inherently wrong about you attempting to do so. '''Except''' that if you are defining it so, you need to define the 'what', 'how' and 'where' of that industry. Geographical locations make research easy, as essentially you can simply start by analysing data within US zip codes. But defining members of an industry is hard, particularly since the industry is global, and contains many people in many roles. Sadly, the UN, WHO, or any other organization doesn't break out its health, age, income, etc statistics into 'pop singers' and 'actresses', so we must instead do the work ourselves. So - how do you intend to define your population?
::*Secondly, it is one thing to admit that a possibility exists. But is entirely another to admit that that possibility is indeed the case. Would you be prepared to admit that web workers like yourself are more prone to testicular cancer? If I can find thirty people who work on the web and have testicular cancer, will you believe me? It may be so, and of course it's possible, but IS it so? Only proper research can tell. But if I claim it, you have every right to disagree with me.
::*Thirdly, here is where I must begin to disagree with you, and for very simply reasons. No, it is NOT possible to make assumptions based upon a non-random data set comprising members you have selected who have shown the condition. The population sample you provide is statistically biased, as it is non-random, and therefore does not properly represent the total population - all actresses and pop stars, including those who ''both do '''and do not''''' have breast cancer. You have selected it to only include actresses and pop singers with breast cancer. This sample does not include the very many pop singers and actresses who did ''not'' develop breast cancer. This common mistake has a name in statistical analysis, and is referred to as '[[Selection Bias]]'. Using the same method, I could equally list twenty CEO's of technology companies who are bald and claim that being a CEO causes baldness. But it would not make it true. I refer you to the famous 'joke' statistic that the rise and fall of the population of penguins in the Arctic is extremely tightly correlated with the UK Conservative party holding Government office (or Arts funding - the stories vary). These examples and others are used to show that [[Correlation]] '''never''' automatically implies [[Causation]]. As a result of your selection bias, it is false to say that your conclusion "is unmistakeable" - though it doesn't for a second mean we shouldn't investigate your claim.
::*Finally, what are those medical reasons? What is your proposed theory of causation?' Why would an acute observer expect it? If you can be a little more clear, it would help.

::Your case remains completely unproven speculation, but is nevertheless interesting. [[User:StatsFan|StatsFan]] 14:31, 7 May 2008 (EDT)

==Mathematical Outline for such a theory==

If I understand your theory correctly, the maths for your theory would work as follows (please correct me if I am wrong): 

First, evaluate Global Breast Cancer Incidence in the [[Control Population]], i.e. the 'world at large': 
A=Global Population of women aged 18-45 
B=Total number of women belonging to Set A diagnosed with breast cancer 
B/A = Y (Average Global percentage of breast cancer incidence in young women aged 18-45) 
 
Note that since our hypothesis is that 'Hollywood' or 'lifestyle values' are what we are testing for (since we assume you don't intend to prove that there are, for example, more carcinogens in movie trailers than elsewhere), it would be important to exclude from 'B' those breast cancers caused by hereditary, environmental factors and other non-lifestyle factors. 
 
Next, evaluate 'Hollywood' Breast Cancer Incidence: 
W=Global population of Actresses and Pop Singers aged 18-45 
X=Global population of Actresses and Pop Singers aged 18-45 diagnosed with breast cancer 
X/W = Z (Average Global percentage of breast cancer in 'Hollywood' women) 
 
(From this data set, we would also have to exclude those 'non-lifestyle' breast cancers as above).
 

If Z > Y, and passes the Chi Square Test, you're definitely onto something, and quite likely a large amount of funding would immediately be available for further research. But with A, B, W and X as yet undefined, as here, we don't have proof yet of the trend. But at least we have defined the numbers we are looking for, and we can continue to study your theory. [[User:StatsFan|StatsFan]] 17:57, 7 May 2008 (EDT)

: Your symbols add nothing here, and your conclusion that "quite likely a large amount of funding would immediately be available for further research" is absurd. The same hysterically [[liberal]] reaction posted on this talk page by others above would great any application for funding of this hypothesis. Such application would find the trashcan before a closed-minded recipient looked beyond its first page.

: That is all the more amusing when one realizes that there is a fundamental reason why [[Hollywood]] types must have higher breast cancer incidence than the general public. Get past the symbols and look at this with an open mind, and you'll see it too.--[[User:Aschlafly|Aschlafly]] 19:51, 7 May 2008 (EDT)

::If you disagree with the methodology described above, what mathematical methodology do you instead propose? And what is this "fundamental reason" you refer to? I'm just curious as to how to prove this hypothesis. [[User:StatsFan|StatsFan]] 19:54, 7 May 2008 (EDT)

::: I don't object to the methodology, but I don't think it adds anything meaningful to the issue. If I asked whether a pitcher of unknown name who has thrown at least three no-hitters should likely be in the Hall of Fame, your methodology is not going help answer the statistical question.--[[User:Aschlafly|Aschlafly]] 20:00, 7 May 2008 (EDT)

:::: The methodology allows other people to reproduce it and not require having an open mind or a statement from an authority. In making the claim "Hollywood types have higher breast cancer incidence than the general public" you are making a statement that can be tested. Thus, people want to know how you came to that conclusion and how to test it for themselves so they can see if it is true or not. --[[User:Rutm|Rutm]] 20:03, 7 May 2008 (EDT)

::::OK, great - we're on the same path then! I'm delighted we can see eye-to-eye on something at last. As to your analogy, it is interesting, but kind of irrelevant to this discussion. So, if you agree with the math, then let's get to work!

::::We know that C = approx. 1 in 93, from the NCI figures. But those numbers refer to all women below 45. The rate for women between 18-45 would be higher, we could make a reasonable guess at, say, 1 in 70 (since the rate for women below 50 is 1 in 50). And you suggest a rate that is an order of magnitude higher than normal, correct? That would be, say, 1 in 7. Now, we need to establish the value of both W and X, the total population of women 18-45 who are in the entertainment business, and those within that population who have been diagnosed with breast cancer. How do we obtain those numbers? [[User:StatsFan|StatsFan]] 20:08, 7 May 2008 (EDT)
:::::Do note that this is the number of women in the entertainment business at some point in their lives (Shirley Temple was retired from the industry for 20 years when she was diagnosed) over the past 80 years (Shirley Temple was born in 1928). This would include singers (country? bluegrass? pop? rock? musicals? vaudeville?), actresses (stage? TV? movies?). Also be sure to include people from around the world in this - Australian soap opera star, Puerto Rican actress, Norwegian actress. It would help to know what the hypothesis being tested is beyond the vague "people in entertainment." --[[User:Rutm|Rutm]] 20:28, 7 May 2008 (EDT)

Andy, I have 2 questions for you. First, will you share your methods for determining the size of the sample and the number of cases? Second, what is your hypothesis as to causality? Thanks. [[User:Murray|Murray]] 20:35, 7 May 2008 (EDT)

'''REPLY TO THE ABOVE''': We have the data that we have. We don't have a double-blind controlled study of millions of subjects. We never will. Smokers went 100 years without the kind of study the naysayers demand here. Does that mean no one could conclude that smoking causes lung cancer? Of course not. Watch your relatives who smoke drop dead and then don't ignore it. Ditto here for breast cancer and [[Hollywood]]. Tobacco companies to this day claim the studies are inclusive and more studies are needed. If determined enough, one can often claim that. The more interesting -- and more important -- challenge is to draw the conclusions that can be drawn from the data that are available. Look at the very small population of pop female singers and breast cancer incidence, open your minds, and don't deny something that has deadly consequences.--[[User:Aschlafly|Aschlafly]] 20:45, 7 May 2008 (EDT)

::I take it you are refusing to share your methods, though it would be nice if you would just say that. ''We have the data that we have.'' True enough, but you're the only one who knows what it looks like. [[User:Murray|Murray]] 21:16, 7 May 2008 (EDT)

Mr.Schalfly, you keep suggesting that people are somehow disagreeing about the deadly risks of tobacco, but no-one is - they are incontestable, and the CEO's of tobacco companies, and their lawyers, just look utterly foolish as they make their arguments that they are not deadly. But this thesis of yours, to be similarly incontestable, needs to be have solid reasoning behind it. I doubt you'd disagree with that? For example, if you are suggesting that approximately 1 in 7 is the risk factor for women between 18-45 in the 'Hollywood' industry, and you have listed 20 individuals, are you suggesting that the total population of 'Hollywood' types is really just 140 women? I'm simply trying to get to the bottom of the maths. [[User:StatsFan|StatsFan]] 20:55, 7 May 2008 (EDT)

One other note - the point you make about "watch your smoker relatives drop dead" is an excellent example of selective sampling. I had two uncle's who smoked until they died in their nineties, neither of smoking-related illnesses. It doesn't prove for a moment though that smoking does not kill - it simply shows the effects of selective bias. [[User:StatsFan|StatsFan]] 20:59, 7 May 2008 (EDT)

: StatsFan, of course counterexamples (your uncles) do not disprove causation. But examples often do indicate causation when it is a rarely expected phenomenon.

: Again, I ask you: is it likely that an unnamed pitcher who threw three no-hitters had an overall career worthy of the Hall of Fame? That is a statistical question that you should be able to answer, but your incessant demand for more data is not going to help you solve it. There is no further specific data to be disclosed in that question, nor is additional data necessary to answer it.--[[User:Aschlafly|Aschlafly]] 21:19, 7 May 2008 (EDT)

::I am indeed confused by your metaphor. For me to know the answer to that I would need to know if it was common for a pitcher to throw three no-hitters, and if many Hall f Famers had thrown three no-hitters? If I'm correct (and I apologize if I am confused by your analogy), you are suggesting that since the data you present is 'obvious', then young Hollywood women do indeed contract breast cancer at higher rates, yes? [[User:StatsFan|StatsFan]] 21:24, 7 May 2008 (EDT)

::: StatsFan, the only info you need is the obvious one that no more than a few no-hitters occur each baseball season.

::: More generally, note that if you confine yourself to well-funded studies, then you limit yourself to what the funders of those studies want for their money. I'm interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions that no one is willing to fund and advertise.--[[User:Aschlafly|Aschlafly]] 21:48, 7 May 2008 (EDT)

Then let's look at the data. Refusal to allow your conclusions to be examined (which is the effect of hiding your methods) suggests something to hide. In addition to knowing the frequency of no hitters, it would be important to know the number of games pitched. That's the piece that we're missing here. [[User:Murray|Murray]] 23:04, 7 May 2008 (EDT)

::::But ''how many'' is 'a few' no-hitters? More than three, less than three? The answer affects whether they get into the Hall of Fame or not! As for going straight to real-world data, that's totally fine with me - I encourage you to go beyond the regular data, and I'll help. But wherever we get the data from, we STILL need to know two numbers:

::::A) Total number of young women between 18-45 in the 'Hollywood' business globally; and
::::B) Total number of those women who have contracted breast cancer.

::::Am I correct? [[User:StatsFan|StatsFan]] 22:11, 7 May 2008 (EDT)

::::: This obviously does require orignal research as no one has so far put up a study that is already done. If you are as you say "interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions" then that is what need to do, but this is the problem. You have a list of some names, what you don't have is
:::::# A working definition of 'Hollywood types'
:::::# The number of women in the age range you are interested in that meet your definition of Hollywood type.
:::::# The number of women in the age range you are interested in your definition of Hollywood type who have had breast cancer.
:::::If you had these three things then you would be able to do the test discribed above and be able to draw importatnt conclusions. All you have now is your list, some rather arbitrary and vague numbers, which to be honest, you just made-up based on what you think is right and a hypothesis which is testable which you have not done. [[User:DanielB|DanielB]] 23:55, 7 May 2008 (EDT)

Why doesnt Aschlafly answer these simple questions?
[[User:AdenJ|AdenJ]] 01:47, 8 May 2008 (EDT)

::The answer is obvious. He cannot. Or perhaps he will, after he makes up some "Schlafly statistics."--[[User:Whorton|Whorton]] 22:07, 8 May 2008 (EDT)

== Bias ==

One issue that I don't see addressed explicitly enough above (though I may have missed it, in which case apologies) is that of bias. I'll pick out just two sources of bias that (as far as I can see) completly undermine the article:
# What is the source of information on breast cancer cases among "Hollywood types"? It comes from the media, and is therefore heavily influenced by the Hollywood publicity machine and the priorities of the newspapers, TV channels, etc. The control group (the rest of the world, other female residents of California, whatever) is not subject to the same influences. Nobody reports a story about "32-year-old housewife dies of breast cancer". The only way to do this comparison is to ignore all information that comes from the media, and use an equivalent data source - which I guess means official epidemiological data - for both Hollywood and control groups.
# The selection of cases in the "Hollywood" group is subject to serious ''selection bias'', because a woman of roughly the right age and roughly the right profession is assigned to the group after (and perhaps, one suspects, ''because of'') the diagnosis. You must ''first'' define the population (the denominator) and ''then'' look to see how many of those who are in that population have the condition (the numerator).
I'd be very interested to see (a) the hypothetical causal link between a high incidence of breast cancer and "Hollywood" and (b) some proper data, properly gathered and analysed. Insistence that "it's obvious", and labeling those who ask for evidence as "liberals", is no substitute for a solid hypothesis, hard data, and a proper analysis. [[User:Humblpi|Humblpi]] 06:05, 8 May 2008 (EDT)

:Actually HumblePi is on to another problem that has been overlooked. You should start by defining 'Hollywood Types' before you collect your data not afterwards. [[User:DanielB|DanielB]] 21:35, 8 May 2008 (EDT)

::Actually, DanielB, that's not quite true - Mr.Schlafly has agreed that the Control Population is defined as "Global Women 18-45", and the study population is "Global Women 18-45 who are Performers in the Entertainment Business and have been diagnosed with breast cancer", but he has not yet provided figures for the former population - either we are waiting for him to provide these figures, or we are expected to calculate them, I'm not sure. He has however, provided us with the second population, a total of 20 women. However, I believe he needs to be a little more precise, as we need to more clearly define ''when'' these women were diagnosed, how far back in time we must do this study, how long they must have been in the business for, and a few other conditions. We also need a little more information from his as to his theory of causation - I think the suggestion is that somehow 'lifestyle' are involved, in which case we'll need to filter the Control Population for these lifestyle traits - and it's hard to do so without the details of what it is about the lifestyle we are to investigate. Mr.Schlafly? [[User:StatsFan|StatsFan]] 22:40, 8 May 2008 (EDT)

:::No – the study population cannot have “and have been diagnosed with breast cancer” as part of its definition. You must determine a study population and a control population before you look for breast cancer cases, and both groups must include women who may or may not have BC. The study population is “women in the entertainment industry,” or “Hollywood women.” [[User:Humblpi|Humblpi]] 05:55, 9 May 2008 (EDT)

== Reply ==

Folks, the comments above are long on talk and insults and short on insights. If none of the above naysayers are even willing to figure out why [[Hollywood]] types are expected to have higher incidence of breast cancer without even having to look at any data, then I'm wasting my time on this page.

In response to the request for a population, by the way, simply take the roughly 100 or so female pop singers (which I think I suggested before).--[[User:Aschlafly|Aschlafly]] 23:13, 8 May 2008 (EDT)

:It's not legitimate to take those 100 without knowing how the number was determined. Why the reluctance to clarify? And the cause is completely orthogonal to the question of whether the rate is elevated. [[User:Murray|Murray]] 23:48, 8 May 2008 (EDT)

:I’m sorry, Aschlafly, but I really have no idea what you mean. What is obvious? Why do you expect Hollywood types to have a higher incidence of breast cancer? But in any case (as Murray says), the hypothetical causal link is completely irrelevant to the study methods. And you have presented no data that provide any evidence whatsoever whether the incidence in Hollywood is higher, lower, or the same as that in the global population. Various people have pointed out flaws in the methodology. If you are not prepared to accept the help that is being offered, that's a pity. The ''Trustworthy Encyclopedia'' really should use trustworthy methods in its analysis. [[User:Humblpi|Humblpi]] 05:56, 9 May 2008 (EDT)

:It seems to me, (and forgive me if I'm wrong), but ''besides'' all of these young(ish) women being in show business (Hollywood-types) '''and''' being victims of breast cancer, thay all (must have) put their careers before the thought and "action" of having a family. It is a well known factor in risk assessment for BC that delaying childbirth or having an abortion has the likely but (of course) unsought side-effect of breast cancer. The woman so situated usually has the choice to advance her career '''or''' start her family but (often) the one comes at the expense of the other. [[User:MargeryCampbell|MargeryCampbell]] 12:45, 9 May 2008 (EDT)

:: Exactly right. God bless you for stating what should have been obvious to everyone else on this page. All who commented above on this page, please take note of what Margery Campbell (whom I do not know, but am honored to learn from) has just said.--[[User:Aschlafly|Aschlafly]] 13:07, 9 May 2008 (EDT)

Aschlafly, if what Margery said is what you actually meant then A) Why didnt you just state this a long time ago and avoid wasting your time and B) you just stated you learnt something from her which looks to me like you had no idea in the first place. Seems someone is straining to do some explaining.
[[User:AdenJ|AdenJ]] 17:31, 9 May 2008 (EDT)

:::But that simply ''doesn't make sense''. Of the first five in the list, one is the '''daughter''' of an actress, and one had two children in her early 20s. Not that this is even relevant - every time someone points out a flaw in your logic, you move the goalposts.[[User:PashaSuez|PashaSuez]] 15:19, 9 May 2008 (EDT)

::::Actually, Minnie Riperton had two children; Anastacia was the child of an entertainer and an actress; Soraya's mother herself had breast cancer (a cancer known to be strongly hereditary); Aisha Bicknell, daugther of an actress; Ann Jillian had a son; Amanda Mealing has two sons; Kylie Minogue is the daughter of an entertainer; Kate Jackson has a son; Jill Eikenberry has two children; Cynhtia Nixon has two children; Edie Falco is the daughter of an actress; Melissa Etheridge is gay; Julie Ege has two daughters; Shirley Temple had three children: Olivia Newton-John has a daughter; Sheryl Crow is the daughter of musicians.

::::It seems none of these individuals fit the thesis that is proposed here, and this 'mystery' seems like it doesn't exist, unless some better examples that fir the theory can be found. I vote for deletion unless the argument can be made in some sensible way that is not "because someone says it is so". [[User:GaryK|GaryK]] 16:22, 9 May 2008 (EDT)

:::::Re. Margery Campbell's theory, I'm afraid that for your theory to be valid, the women listed here would have to be childless, which is not true in most of the cases, as I've pointed out above. In fact, the cases listed in this article could not seem to have ''less'' relevance to such a theory, and without a shadow of a doubt, the case of Soraya needs to be removed, as in her case, it was clearly hereditary. So what is the proposed theory that is so obvious? [[User:GaryK|GaryK]] 17:50, 9 May 2008 (EDT)

Talk:Carcinoid tumors

2008-05-09T20:36:50Z

GaryK: article is a copy of an NIH article

This article appears to be a word-for-word copy of the NIH article it references. Is that allowed on Concservapedia? [[User:GaryK|GaryK]] 16:36, 9 May 2008 (EDT)

Taranto

2008-05-09T20:33:45Z

GaryK:

'''Taranto''' is a port in southern [[Italy]] in the province of [[Puglia]], on the arch of the "boot". The city was founded by Spartans in 706 BC as a trading post. Taranto is currently a large commercial port and the home of a major naval base.

==World War II==
Taranto, the home of most of the Italian fleet at the time, was attacked on November 11, 1940, by British carrier planes (Operation Judgement). The [[British]] planes, Swordfish biplanes armed with torpedoes, sank one battleship and damaged two battleships and a cruiser for the loss of two bombers. The attack caused the relocation of Italian naval units to ports further away from the action. The success of the raid inspired Japanese Admiral [[Isoroku Yamamoto]] to plan a similar attack on [[Pearl Harbor]].

[[Category:Italian Cities and Towns]]

Talk:Mystery:Young Hollywood Breast Cancer Victims

2008-05-09T20:22:05Z

GaryK: Most of these women have children, and some inherited the cancer from their mother

==Solved?==

There may be a solution to this, the '''average''' age for being diagnosed with breast cancer is 64, but this doesn't mean that people cannot get breast cancer until they are 64.

You have named five cases where breast cancer has been contracted at a younger age, out of a pool of possibly tens of thousands of subjects (noting that you have expanded the definition of Hollywood to include relatively minor Australian celebrities and musicians). This is well in check with broader society, sadly many people do suffer from breast cancer at a young age. Unless the proportion of young people in general suffering breast cancer is different to the proportion of young "Hollywoodians" suffering breast cancer then there really isn't a mystery here to solve.

The only way that anyone will be able to demonstrate the possibility that Hollywood promotes breast cancer is by using statistics which show that the average age of breast cancer in Hollywood is significantly lower than that of society in general. [[User:StatsMsn|StatsMsn]] 22:18, 3 May 2008 (EDT)

:Medline, one of the largest databases relating to medical articles, returned just two articles for a search of ""Breast Neoplasms (exp)" and "Hollywood". One of these only referenced Hollywood because to establish a timeframe (it was translated from Japanese, and used the term "Hollywood syndrome" in its title) whereas the other referred to the geographic location of a clinic. I think this establishes that there is no medical evidence supporting the claim that Hollywood somehow increases the likelihood of breast cancer. If you have alternative search terms or databases you want me to use post them here and I will. [[User:StatsMsn|StatsMsn]] 22:46, 3 May 2008 (EDT)

:: Conservapedia is not limited to [[liberal]] medical journals. We are smart enough, I submit, to observe facts ourselves and let the readers draw conclusions. We do not simply regurgitate readily available information here. We tell the truth, even if it is censored elsewhere.--[[User:Aschlafly|Aschlafly]] 23:19, 3 May 2008 (EDT)

:::Medline reports from almost all major medical journals, it does not discriminate based on political ideology. All you have done is listed a few cases and suggested that being famous and connected to Hollywood somehow increases the risk of breast cancer. You have not provided any evidence that the average age of breast cancer amongst stars is any less than the broader average. It is an unfortunate fact that young people do get breast cancer, but there is nothing to suggest that rate of young people in Hollywood being diagnosed with breast cancer is any different to the rate of young people in broader society. Until you refute this point you cannot claim that there is a mystery. [[User:StatsMsn|StatsMsn]] 23:26, 3 May 2008 (EDT)
:::Mr. Schlafly, as I can see it, you seem to be a fan of false causality. X happened to this person and that person meets Y criteria therefore the event X is related to the criteria Y. If 5 people with brown hair contracts testicular cancer, does that mean that having brown hair predisposes you to testicular cancer? Just because someone meets one criteria and also fits another criteria does not mean they are related. That is exactly why medical studies are done, to establish if there is '''repeated''' and '''explainable''' links between any two things. You have no idea of these individuals medical history. There are no sources whatsoever to back this claim. Individuals can claim anything they want, it is only statistics and studies that can help justify them.
- [[User:AndrasK|AndrasK]] 23:40, 3 May 2008 (EDT)

==A Demonstration==

It is suggested that Belinda Emmett being diagnosed with breast cancer at the age of 24 shows that Hollywood increases the risk of breast cancer.

There are around 20 million people in Australia, it's safe to assume that 10 million of those will be female. Using the statistics on the page 1 in 19,608 women will be diagnosed with breast cancer by the time they're 25, this is approximately 0.0051%. At this rate about 510 Australia women will have been diagnosed with breast cancer by the time they're 25.

Belinda Emmett is one person out of 510 who has been diagnosed with Breast cancer, this is a rate of about 0.2%. Now, film and television in Australia employs about 50,000 people [http://www.afact.org.au/factsheets/AFACT_Consumer_Guides_Internet.pdf] (the best figure I could find for now), this is approximately 0.5% of the population. Assuming that camerawomen and writers have also been diagnosed with breast cancer then I see no reason why the rate of women connected with "Hollywood" and who have been diagnosed with breast cancer is any lower than that of the broader population.

The reason Hollywood seems to have so many young stars being diagnosed with breast cancer is because these cases are very well publicised, but the sad truth is that many young women are diagnosed with breast cancer every year, and that their cases are largely forgotten. There is no mystery here, and there won't be until someone shows that the average age of breast cancer amongst Hollywood stars is any different to the rest of society. [[User:StatsMsn|StatsMsn]] 23:37, 3 May 2008 (EDT)

:Good sir, we don't repeat readily known facts here! This is a crusade, good sir, and we're here to EXPOSE the FACT that HOLLYWOOD causes BREAST cancer IN starlets! [[User:IndianaJ|IndianaJ]] 00:55, 4 May 2008 (EDT)

==Questions==
When are you going to realise that you cannot base statistical conclusions upon a non-random sample? You are selecting a category of people who are by definition, far, far younger than the normal population (actresses and pop stars being typically in an age range from 18-45). Therefore, any incidences of breast cancer you find within that population will of course appear to trend younger. Please, take Statistics 101 before jumping to such ludicrous conclusions - you're simply making a fool of yourself. [[User:Bongabill|Bongabill]] 14:19, 4 May 2008 (EDT)

: Bongabill, you're clueless. The 18-45 population of [[Hollywood]] certainly can be compared with the 18-45 general population as to incidence of disease. I doubt you've taken half the statistics courses that I have. You have typical [[liberal style]] in trying to intimidate.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

Sure it can be compared Andy, but you haven't done that. If you compare the number of young Hollywood breast cancer victims (of course you might want to define what you mean by that first) to the rest of the population in the same age group, fine. You haven't done that. You might also want to clarify where you got your 500 from - clearly an estimate, but based on what? [[User:Murray|Murray]] 17:47, 4 May 2008 (EDT)

: The [[Hollywood]] community is a well-understood population that consists of performers and entertainers in movies, television and music. Any ambiguity about that population is insignificant. The incidence of breast cancer in the general population by age is known, and an estimate of a population of 500 female [[Hollywood]] types under age 35 or so who would admit to having breast cancer due to performance demands or openness is a reasonable estimate within a factor of 2 or so.

: You're free to make suggestions on improving the accuracy. But the attempts below to censor the inquiry altogether are, of course, absurd.--[[User:Aschlafly|Aschlafly]] 18:29, 4 May 2008 (EDT)

::Mr.Schalfly, actually, I am a professional statistician with both graduate and post-graduate degrees in the subject, and also a 34 year professional career as a statistician working for the official statistics bureau of a major nation. Now, ''of course'' you can compare the 'Hollywood' 18-45 population to the general 18-45 population, but first you have to define that population. How are you defining ''your'' population? Is it that they are living in "Hollywood" - in which case it might be interesting to examine geographical factors upon the incidence of disease? No - as I see you are including Australians who live in the UK, people born in six different countries, and it seems none of the members of your data set are actually ''from'' the geographical region of ''Hollywood'', and in fact many of them do not even live there either. So how are you defining members of your data set?

::: Bongabill, we don't fall for the unproven claims of credentials here. Wikipedia might be a better home for you. Your claim is absurd that no conclusions can be drawn from comparing disease incidence among [[Hollywood]] types to the general population. Tell me, did you work for the tobacco industry also in denying that cigarettes cause cancer?--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

::Secondly, I note that your article does not compare your data set to the general 18-45 population, but instead compares it to the general population of 'all ages', quoting an ''average'' age of diagnosis of 64 - which is clearly outside your terms of reference. I'm afraid there's absolutely nothing correct here with any of your reasoning, which not only fails Statistics 101, but fails it in the first semester. This article is specious nonsense. [[User:Bongabill|Bongabill]] 14:59, 4 May 2008 (EDT)

::: Well, I'm glad you're not a professor then. Or are you going to claim that also??? Your "know nothing" approach and [[liberal denials]] are nonsensical.--[[User:Aschlafly|Aschlafly]] 15:13, 4 May 2008 (EDT)

:::Just to point out, Mr. Schlafly, you fell back on your "record" of statistical courses as evidence to your statistical competency. [[User:AndrasK|AndrasK] 15:27, 4 May 2008 (EDT)

::: Yes, I did, in response to [[credential bullying]].--[[User:Aschlafly|Aschlafly]] 18:20, 4 May 2008 (EDT)

::::Actually ASchalfly, it was indeed you who first raised the issue of credentials in this thread - your comment "I doubt you've taken half the statistics courses I have" came after Bongabill's first and only comment on Conservapedia, and which never mentioned his or her credentials. [[User:StatsFan|StatsFan]] 18:52, 4 May 2008 (EDT)

All right Andy, I'll make a couple of suggestions. I suggest clarifying the basis of the estimate that there are 500 Hollywood women under 35 who would admit to having breast cancer. I don't understand where the number comes from - what was the method or source used to come up with 500? If that's a good estimate, your comparison is potentially legitimate. Then, I would suggest you do an actual statistical test to determine whether the numbers are significantly different. [[User:Murray|Murray]] 18:48, 4 May 2008 (EDT)

: Female rock stars likely to admit to breast cancer (e.g., due to a performance schedule) number on the magnitude of, at most, 50; female movie stars under 35 are perhaps a 100-200, at most; and other female actresses are perhaps another 100-200. Just look at how many albums and movies are released each year. Also, note that many stars go out of their way to conceal and deny health problems, understandably so. If you dispute any of these numbers, then I'd like to hear why.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::I'm not disputing them, I'm asking where they came from. So you looked up how many albums and movies are typically released in a year and extrapolated from that? [[User:Murray|Murray]] 19:05, 4 May 2008 (EDT)

::: That provides a ballpark estimate. Given that the incidence in the [[Hollywood]] community is an order of magnitude larger than the general population, ballpark estimates are enough to reveal a problem.

::: Note that a ballpark estimate would have -- and should have -- demonstrated that cigarettes cause lung cancer a half century before people accepted it. Millions of lives would have been saved by acting on the evidence available rather than demanding unnecessary statistical detail. Surely you don't defend that.--[[User:Aschlafly|Aschlafly]] 19:34, 4 May 2008 (EDT)

::::Andy, my man, a "ballpark estimate" is one thing. Pulling numbers out y'arse is quite another. If this really means something to you, then go and do some ''proper'' research. Lord knows you've got enough time on your hands. Reliable numbers may or may not be forthcoming, but at least you'll have tried and you'll be able to argue from a much stronger position if you succeed. Meanwhile, I'd quietly retreat from this one if I were you.
::::Sincerely, --[[User:OscarPeterson|OscarPeterson]] 20:24, 4 May 2008 (EDT)

I wonder how many of those who were included in the list of breast cancer cases would be included in the list of 500. If that 500 is based on albums and movies released, it appears that many of those women shouldn't be included. Shirley Temple is the only movie star there. Most appear to be television actresses, and I suspect many more fall into that category than movie actresses. So I suspect that 500 is a pretty big underestimate. Either way though, if you want to make the case, you should include a real statistical analysis. For example, in the last sentence, you could say ''There is likely no more than 1000 in the population of Hollywood types under age 35 who would have publicly disclose breast cancer. The list above has 8 cases (and growing). The expected rate is only 1.5 out of 1000 in that age group. A chi-square test of proportions indicates that the difference between these groups is not statistically significant, X2 (1 df) = 3.62, p = .109.'' [[User:Murray|Murray]] 21:28, 4 May 2008 (EDT)

: Why stop at age 35? Try applying your approach to age 30.--[[User:Aschlafly|Aschlafly]] 22:25, 4 May 2008 (EDT)
::Mainly because I think the numbers given in the article have no basis in reality. The 500 is said to be based on the number of movies and albums released each year. According to [http://dissertations.ub.rug.nl/FILES/faculties/feb/2007/s.a.delre/c5.pdf] there are 473 movies each year - I think it's safe to say that nearly all have multiple women who would be included in this list if they had the misfortune to get breast cancer. And taking a look at the list, it's clear that the article is also referring to television actresses, in the US and across the world. So I think 500 is a gross underestimate. Even if the true population of female "Hollywood types" under 30 was 1000 (and I suspect it's more than that), the difference is not significant. [[User:Murray|Murray]] 23:28, 4 May 2008 (EDT)

::: The difference is significant, even if the 500 estimate is low. Realize that the estimate of 500 is not for all female singers and actresses, but only those who have performance schedules requiring disclosure of a personal health problem. A soap opera actress would be an example, of which there are perhaps only 50 in the relevant age group.

::: Multiple occurrences of a rarely occurring event are statistically significant, and it's incorrect to claim otherwise. There is nothing special about a baseball pitcher who throws only one no-hitter, but there is something special about one who throws three no-hitters, which is analogous to the data here.--[[User:Aschlafly|Aschlafly]] 23:42, 4 May 2008 (EDT)
::::::Well, see, there's a couple of problems with that analysis. Let's assume for the moment that your guesstimate of 500 actresses/singers at any one time whose schedules would necessitate an illness disclosure is roughly accurate. Problems: 1)Your examples are not drawn from a single point in time, but from over a period of decades (which would stretch the 500 to thousands). 2)Many of these women, while well-known, were ill at a time in their life when disclosure would not have been necessary (that is, when they were no longer active, and not part of the 500). 3) Many of your examples are deeply obscure, and certainly not part of the 500.--[[User:RossC|RossC]] 08:59, 5 May 2008 (EDT)

::::No, there's definitely something special about a pitcher who throws a no-hitter. -[[User:CSGuy|CSGuy]] 23:54, 4 May 2008 (EDT)

:: No,

:Murry you are compeletly wrong. You are using frequentist statistics which was created by that godless, evolution believing, eugenics supporting, [[liberal]] Fisher. It is inherently [[deceit|deceitful]]. You should instead use that devinly inspired Bayesian satitical methods. I suggest an uniform distribution aprior for your parameter. [[User:DanielB|DanielB]] 22:54, 4 May 2008 (EDT)

==An example of why this is fallacious reasoning==
# The incidence of homosexuality in the general population is about 2-3%[http://www.catholiceducation.org/articles/homosexuality/ho0095.html].
# Evangelical preachers Ted Haggard, Paul Barnes, and Roy Clements were found to be homosexuals.
# Our study shows incidence of homosexuality in Evangelical preachers is far, far greater than the general population and is instead 100%.
# Therefore, all Evangelicial preachers are gay.

Except there's just one thing - we know that's not true. So what's wrong with the reasoning? Selective sampling, that's what's wrong. And which is what you're doing in this article. [[User:Bongabill|Bongabill]] 14:33, 4 May 2008 (EDT)

: Bongabill, your reasoning is so absurd that it does not merit a response. Learn how to spell "fallacious" and return only if you can figure that out. Godspeed.--[[User:Aschlafly|Aschlafly]] 14:35, 4 May 2008 (EDT)

:Can you point out logical discrepancies between your logic and his? Refusing to respond does not give you credit, it makes you seem even more wrong. If your argument is correct, then why can you not point out problems in his? And by the way, taunting someone regarding one simple spelling error is puerile. [[User:AndrasK|AndrasK]] 14:42, 4 May 2008 (EDT)

:: Well, duh, the incidence of homosexuality among evangelical preachers is 3 divided by thousands. Should I do the arithmetic for you?--[[User:Aschlafly|Aschlafly]] 15:14, 4 May 2008 (EDT)

:::Andy to try and translate Bongabill's reasoning into simpler terms: '''Selection bias/selective sampling is where the sample you choose for your study is rigged to give an inaccurate result'''. For example, let us suppose that Planned Parenthood did a study into teens and promiscuity and ecluded teens with STDs and tried to use that study to show teens were having "safe sex". Obviously this would be false since the sample was not ''representative'' of the teenage population. '''Likewise your sample (the list) is inaccurate since it only includes "hollywood" women who ever got breast cancer'''. Also to ignore Bongabill's point and to point out his spelling mistakes smacks of a childish ''ad homniem'' attack, to repeat AndrasK.[[User:Luder|Luder]] 16:05, 4 May 2008 (EDT)

This article is utter nonsense. The reasoning is absurd. It is just laughable. So you can name twenty well-known women who have had breast cancer. I can name twenty women I know who have had breast cancer. Does this mean women of my acquaintance are particularly susceptible? No, it's just a meaningless series of cases, anecdotal evidence of nothing whatsoever. This article is the same. Conservapedia really is a parody of itself! [[User:Humblpi|Humblpi]] 17:20, 4 May 2008 (EDT)

: Folks, your objections are incoherent. The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population. I realize that [[deliberate ignorance]] is a trademark [[liberal style]], but you're in the wrong place if you think you're going to censor attempts to compare those rates. It can and should be done.--[[User:Aschlafly|Aschlafly]] 18:19, 4 May 2008 (EDT)

::''The incidence of breast cancer in the [[Hollywood]] culture can and should be compared to its incidence in the overall population.'' So where is this done? It is simple (the number of Hollywood types that have breast cancer)/(the number of hollywood types) vs. (the number of the overall population that have breast cancer)/(the number of the overall population). You have failed to provide even the simple mean, neverless the variance in order to conduct a hypothesis test. [[User:DanielB|DanielB]] 18:38, 4 May 2008 (EDT)

:::DanielB, you're correct, but that's not all - you would also need to conduct a Chi-Squared Test on the result to see whether or not the variance in the data actually had any statistical significance. Different values are not necessarily statistically significant. There is no valid or relevant statistical analysis in this article, none whatsoever. [[User:StatsFan|StatsFan]] 18:44, 4 May 2008 (EDT)

:::: When the rates are vastly different, as in the case of lung cancer and cigarettes, conclusions can and should be drawn immediately based on the vast differences in the rates. Of course further investigation is welcome, but unlikely to alter the obvious conclusion.--[[User:Aschlafly|Aschlafly]] 18:58, 4 May 2008 (EDT)

::::: Vastlty different rates could be the result of the variance of your sample. Your sample size might be too small to draw conclusions or as StatsFan said it might not be significant. Andy you should research statistical hypothesis testing of Student and Fisher instead of being [[deliberate ignorance|deliberalty ignorant]] of them. [[User:DanielB|DanielB]] 19:03, 4 May 2008 (EDT)

:::::: See my reply to the more intelligent comments by Murray above.--[[User:Aschlafly|Aschlafly]] 19:35, 4 May 2008 (EDT)

::::::: What does by a factor of 2 mean? Do you mean a probabilty of less than 2% that the difference in means is a result of random sampling? As you have failed to establish a population size, how do you know the degrees of freedom of your t-distribution? You appear to have a vague understanding of statistic hypothesis testing without any actual working knowledge of how it works. [[User:DanielB|DanielB]] 20:42, 4 May 2008 (EDT)

==Question / Cause==
Just out of curiosity, I'm wondering what you're postulating is the cause of this apparent epidemic of breast cancer amongst the women of the entertainment industry. A paragraph or two regarding possible causation might help to round out the article.--[[User:RossC|RossC]] 09:04, 5 May 2008 (EDT)
:Based on [[Breast_cancer#Risk_factors|this]], perhaps [[Hollywood values]] encompass poor eating habits and abortions as well. [[User:Feebasfactor|Feebasfactor]] 13:18, 5 May 2008 (EDT)

:Those who don't have an open mind about a glaring 5-10x increase in breast cancer incidence in the [[Hollywood]] community are not likely to have an open mind about causation. The cancer deniers could make a bundle working for the tobacco industry, however.--[[User:Aschlafly|Aschlafly]] 13:31, 5 May 2008 (EDT)

:: From a factor of 2 to 5 to 10 times increase. These numbers are incredible and would be very impressive if you had any data what so ever to back this up. You have done no statistical analysis all you have done is make up "ballpark" numbers which suit your hypothesis. Get some data, analyse it and submit it to a medical journal if this as rock solid as you say. Otherwise there is no "mystery cause of Hollywood breast cancer" as you have failed to establish it is any higher than you might expect in the general population. [[User:DanielB|DanielB]] 02:01, 6 May 2008 (EDT)

So was I... on the right track then? I'd like to think I was being open-minded about causation by considering possible factors, but perhaps I've missed it anyway. :( [[User:Feebasfactor|Feebasfactor]] 18:01, 5 May 2008 (EDT)

::Geez, Andy, you're not going soft on us, are you? I don't think you've ever censored yourself before in deference to the closed-minded. Would you mind if I worked up a paragraph on causation, or would you rather just skip it? (I don't want to step on your toes) --[[User:RossC|RossC]] 14:18, 5 May 2008 (EDT)

::: RossC, I can't tell if you're serious or not. If you're serious, then please try to improve the entry. Godspeed.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)
:::: I am indeed serious (but don't fret--I get that a lot). I'll whip up a paragraph on possible causation when I have a bit more time (tomorrow, hopefully).--[[User:RossC|RossC]] 13:13, 6 May 2008 (EDT)

::::: You probably "get that a lot" because most of your edits, like your recent one on the Main Page, are not to be taken seriously. Try some substantive edits. You'll benefit yourself.--[[User:Aschlafly|Aschlafly]] 14:27, 6 May 2008 (EDT)

Your argument is hardly convincing.
[[User:AdenJ|AdenJ]] 13:53, 5 May 2008 (EDT)

::This does seem like a story that's not being covered in the MSM, and I think you've uncovered a real 'sleeper' news story with this original research. Do you have a press agent who can help you publicize it - can you get this into the news 'wires'? I'm sure various Hollywood press organs would be VERY interested in this story - why don't you try and get this to the LA Times, or Variety, or the Hollywood Reporter? This is Front Page material! [[User:RobCross|RobCross]] 14:07, 5 May 2008 (EDT)

::: Please tell them for us, RobCross. As you can see, the [[liberals]] are not happy about this, which means the publications you cite will not publish it.--[[User:Aschlafly|Aschlafly]] 16:00, 5 May 2008 (EDT)

Andy, maybe you should submit it to ''JPANDS''. [[User:Murray|Murray]] 11:00, 9 May 2008 (EDT)

Aschlafly, its not that 'liberals are unhappy with this' hence it wont get published any where. Its that if you tried to publish this you'd get laughed at because your methodology is so poor. If the was a causation somewhere do you really think you'd be the first person to spot it?
[[User:AdenJ|AdenJ]] 23:41, 5 May 2008 (EDT)

: Ah, there's that [[liberal]] over-reliance on mockery, point 25 of [[liberal style]]. You follow your style book well, AdenJ. Fortunately, not everyone is afraid of being "laughed at," particularly when the mockery is done to conceal causation of a deadly disease. It's not very funny when you realize what you're trying to conceal.--[[User:Aschlafly|Aschlafly]] 23:56, 5 May 2008 (EDT)

Ahhhhh, again Aschlafly you dont know anything at all about me so I wouldn't throw around the liberal rubbish. Not that I have to prove anything to you however I will advise that in my countrys elections I vote for the right. Anyways my point is that this 'article' is not all convincing to anyone.
[[User:AdenJ|AdenJ]] 00:00, 6 May 2008 (EDT)

What is the hypothesis about causation? [[User:Murray|Murray]] 23:57, 5 May 2008 (EDT)

:Andy, if you wouldn't mind... would you like to pose a possible hypothesis as to what causes this apparent increased rate of breast cancer in Hollywood? What do you think is the explanation to this mystery? I've taken a guess already, although I don't know if I'm on the right track. [[User:Feebasfactor|Feebasfactor]] 23:17, 8 May 2008 (EDT)

::Oh, nevermind... I see it was apparently solved after all. [[User:Feebasfactor|Feebasfactor]] 15:58, 9 May 2008 (EDT)

== Other factors and questions ==

I would first like to ask if 'Hollywood' is appropriate in the title. How many of these are Hollywood stars? Soap operas, British singers, etc. Shirley Temple retired from movies at 21 in 1949. She had been out of Hollywood for 20 years when she was diagnosed. And is 40 'young'? That also brings up the time frame question - does including a person who was diagnosed with cancer about 40 years ago fit in with trying to correlate it with people from today?

There is also the question of diagnosis. Early diagnosis is the key to identifying and surviving a battle with cancer. People who are wealthy tend to go to the doctor more often, routine check ups and preventive care rather than going to the emergency room. The people listed tend to be in the upper end of the pay spectrum and thus would go to and have access to better medical resources. As such, they would detect cancer at a younger age than those that don't have access to these resources.

The Mayo clinic suggests starting breast self exams at age 20.[http://www.mayoclinic.com/health/breast-self-exam/WO00026] I am curious if the women here would speak up about the age they started doing breast self exams and the age range that their doctors have informed them that breast cancer can develop along with the risk factors.

Another important factor is identifying family history. Do any of these individuals have a family history of cancer that would make them predisposed to it?

There is also the selection of data. Actresses are famous and everything they do or is done to them tends to find itself in the media. These are the things one would read at a supermarket check out (why is it even here - isn't it the liberal media and National Enquirer that is supposed to have an obsession with celebrities?). This ignores the millions of non-newsworthy men and women and the chances that they get cancer. The young woman down the street who is fighting breast cancer - thats not news and so it doesn't show up beyond a number somewhere. It is just easier to find a list and news reports of famous people.

If there is any statistical significance of this, the math should be shown by the person making the claim. --[[User:Rutm|Rutm]] 14:34, 5 May 2008 (EDT)

: The rates of breast cancer by age in the general population are well-known, and the rates in [[Hollywood]] are 5-10x times higher. You don't work for tobacco companies, do you? We don't need to deny the obvious and await 30 more years of [[censorship]].--[[User:Aschlafly|Aschlafly]] 16:04, 5 May 2008 (EDT)

:: Could you point to any study or news article akin to [http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2003/05/30/BA70131.DTL]? Have you ruled out other known risk factors? Where is the data to support this? I would be interested to see the data (rather than an list of 20 singers, actresses, and notables that at some time resided in Los Angeles) that supports the assertion. --[[User:Rutm|Rutm]] 16:11, 5 May 2008 (EDT)

::: I don't think that Mr Schlafly has to eliminate other risk factors. The claim is only that breast cancer is more prevalent amongst young 'Hollywood types' than others, not that the state of being a 'Hollywood type' causes breast cancer. He doesn't even claim that this this difference is statistically significant. To establish his claim all he has to do is come up with clear definitions of 'Hollywood type' and 'young', determine the size of this group (presumably fewer than the 546,969[http://www.imdb.com/database_statistics] actresses in the imdb database), take a representative sample thereof, determine the rate of early breast cancer within that group and compare it to the general population. --[[User:Jalapeno|Jalapeno]] 17:24, 5 May 2008 (EDT)

::: If anyone would like to work from some data - [http://statecancerprofiles.cancer.gov/cgi-bin/quickprofiles/profile.pl?06&055#incidence] has a table for breast cancer deaths by county in California. Orange county slightly above the mean in California for incidence, but is certainly not at the top of the list. I have yet to see any data suggesting the National Cancer Institutes's data is incorrect. --[[User:Rutm|Rutm]] 17:28, 5 May 2008 (EDT)

== [[Liberal Denial]] ==

The above [[liberal denial]]s are almost as interesting as the entry itself. Observe how no one objected to "Rutm"s observation that breast cancer deaths are higher in Orange County, yet every [[liberal]] here objected to the possibility that breast cancer rates are higher among [[Hollywood]] types. Ever here the expression "he protests too much"? It applies with full force here. There is nothing logical to the protests above, which merely underscores how important it is to publicize this information. The more it is irrationally denied, the more persuasive it becomes.--[[User:Aschlafly|Aschlafly]] 20:49, 6 May 2008 (EDT)

:Andy: (a) Hollywood isn't in Orange County. LA County is below the state average, according to Rutm's link. Even if it were higher, that says nothing about the rate in Hollywood, or among "Hollywood types". (b) Some of the comments above may be a bit strident. However, they raise challenges that haven't been answered. If you want to make this case, it would be better to show your methods and to actually do the math. The current approach is not convincing to those who understand statistics. [[User:Murray|Murray]] 21:47, 6 May 2008 (EDT)

::Andy the protest above are not about your conclusions they are about your compelete lack of data. What you are lacking is data. Rutm's observations are valid because they are based on data, something you lack. [[User:DanielB|DanielB]] 22:08, 6 May 2008 (EDT)

::: Murray and DanielB miss the point. I don't think we've seen such emotional denials of a health problem since the tobacco executives denied their products cause cancer, and they kept insisting on more and more and more data. The odds of finding three women victimized by breast cancer in their 20s is astronomically small, and requires a very large population sample. Three examples from the small community of [[Hollywood]], along with many other striking examples of young breast cancer victims, suggests a problem.

::: However, judging by the emotional denials, it's clear your minds are not open about this. You're not investigating further yourself; instead, the deniers are resorting to put-downs (e.g., "not convincing to those who understand statistics"). As is said, "you protest too much."--[[User:Aschlafly|Aschlafly]] 22:15, 6 May 2008 (EDT)

:::: Is it a small community? Do you have the exact number of people in this community or do you just have this strange 100-200 numbers from nowhere? You are making numbers up on gut instinct and calling it a sample. You would not get an arguement if you even had properly collected statistics.

:::: As for the tabbaco companies thay argued that correlation dose not equal causation. Something you yourself argued on many occasion, because it is true. Life expectancy goes up with the rate of TV ownership in a country, would you advocate giving third world nations TVs to increase there lifespan? [[User:DanielB|DanielB]] 22:33, 6 May 2008 (EDT)

::Demanding scientific evidence and accurate statistics is not protesting too much, it is common sense. [[User:AndrasK|AndrasK]] 22:22, 6 May 2008 (EDT)

The put-downs are on both sides, Andy ("emotional denial", "your minds are not open"). How about a compromise - if you will explain how you derived your sample size, a productive discussion can take place about whether or not this indicates an increased risk of breast cancer. Also, did you note above that the breast cancer rate in the county that Hollywood is in is actually lower than the state average? [[User:Murray|Murray]] 22:42, 6 May 2008 (EDT)

: My comments are not put-downs in the same sense as yours. Observing that a denial is emotional is not bullying, for example.

: Let's see if any of the deniers here will admit that, yes, it is quite possible that breast cancer incidence is higher in the [[Hollywood]] community than the general population. It's irrational if that admission is not forthcoming. (By the way, the physical county in which the town of Hollywood is located is obviously irrelevant because the issue is the lifestyle.)--[[User:Aschlafly|Aschlafly]] 22:54, 6 May 2008 (EDT)

::I disagree that your comments are not put-downs in the same sense, but we can disagree there. I apologize for the comment. I pointed out that Hollywood is not in Orange County because your comment above used the rate in Orange County to support your argument. Sure, I will happily admit that it is ''possible'' that the breast cancer rate in the Hollywood district of Los Angeles is higher than in the general population. It would be a powerful statement if it could be shown, given that the rate in all of LA County is lower than the rest of the state. However, I am not convinced by the arguments currently put forth here. As I mentioned above, it would be helpful to explain your methods, particularly the method for determining the size of the sample. It would also be useful to define "Hollywood types", because it appears that many of those in the list, including 1 in the under 30 section, did not live in Hollywood. Research in any field is heavily dependent on explanations of how variables were defined and measured, and on descriptions of how the sample was derived and who it was composed of. [[User:Murray|Murray]] 23:15, 6 May 2008 (EDT)

:::I also happily admit that "it is quite possible that breast cancer incidence is higher in the Hollywood community than the general population", and I'd be very happy to see Aschlafly's hypothesis proven, or disproven, or indeed to see any meaningful data one way or the other. My objection to this sort of pseudo-science is not emotional, and does not represent liberal or any other sort of denial. It's simply that the "conclusion" does not arise from any data. It's a misuse of epidemiological and statistical methods, an appeal to "science" merely to support a prejudice. For a start, you cannot make any comment on prevalence without first defining the population you are using as the denominator. I suggest that should be the first step. If you then ask a suitable question, and apply suitable methods to answer that question, that would be a couple more steps in the right direction. And if you can find anything that suports the contention that breast cancer is more prevalent among "Hollywood types" I'm sure even the "liberal medical journals" would be very interested in the study. [[User:Humblpi|Humblpi]] 01:38, 7 May 2008 (EDT)

Mr.Schlafly, we will ''happily'' admit that breast cancer ''might'' be higher in 'Hollywood' - if you can show that is the case, it is certainly really interesting, and some decent , substantiated research with figures you can stand over would make for a really major news story - and your work would be celebrated. '"Women working in the entertainment industry develop breast cancer at a much higher rate than normal'" is indeed headline news. We can help you to make a rock-solid case. Here's how to make your case watertight:

1. Define the population. It seems you're not really intending ''Hollywood'' to be a geographical term here, instead I believe you wish it to refer to 'women between 18-45 working in the entertainment business' - regardless of physical location. Nothing wrong with this so far, that's a perfectly reasonable population to analyse. Please correct my definition if you you think I'm paraphrasing you incorrectly. 
2. Determine the size of that population. This is where it starts to get tricky. A global figure for young women between the ages of 18-45 could be estimated easily enough, but the number of people involved in the entertainment business may be harder to determine. Do you wish your research to include, for example, hairdressers, make-up artists, production designers and art directors, as they would all work with the actors and singers and presumably work in a similar 'moral milleu'. One problem here is that these women would typically work in the presence of chemicals, some of which may or may not be carcinogenic, which would need to be factored into the equations. Another issue is - where does one include women from? Are young Chinese actresses as likely to succumb to the perceived 'moral milleu' of the film business of Hong Kong (not known for its strict moral code either). Might they be similarly affected? What about Indian girls in Bollywood? I notice that you are including Australians and UK residents, but what about French, German, Italians, etc? 
3. Assuming you can eventually determine the total size of the population, then determine the rates of breast cancer in that total population. This will be difficult, lengthy research, but it should be possible. It would likely take many years of research though, as you will require data from health monitoring organizations around the globe. 
4. Now factor in family medical histories, ethnic predispositions, working conditions, lifetime exposure to carcinogens, birth patterns, etc - and filter your data for these. 
5. Compare the breast cancer rates of your study to the breast cancer rates of the global population in general. Again, this shouldn't be too hard. 
6. Test any differences in your discovered cancer rates for statistical significance. Where you discover a trend, dig deeper into that data to ensure you are correct. 
7. Publish, and celebrate good research! 

Your hypothesis is interesting, but as yet unproven. But if we can be of any assistance, let us know. [[User:StatsFan|StatsFan]] 11:58, 7 May 2008 (EDT)

== Reply to the above ==

First, Murray, the popular term "Hollywood" refers to an ''industry'', not a place. Yes, I know, there is a small town called "Hollywood", but that is not what anyone means when they speak of the culture, lifestyle, values and industry of "Hollywood", as we are here. I'm astonished, frankly, that you take such a narrow, literal meaning of the word.

Second, I'm gratified to have wrestled out an admission for all here that, yes, Hollywood types may have higher and younger incidence of breast cancer than the general population. So why all the fuss? Read the comments above and anyone objective would see a determination to censor a discussion and investigation of something that all now admit is quite possible.

Third, looking at the data from a small population of successful, performing female pop singers, who number no more than 100, the rate of young breast cancer is astounding and many times, even orders of magnitude, higher than the rate in the general population. It's unmistakable.

Fourth, there are medical reasons why one would expect, without seeing any data, that Hollywood actresses would have higher rates of breast cancer. An astute, objective observer would expect it without seeing a single patient or reviewing data about a single case.--[[User:Aschlafly|Aschlafly]] 14:08, 7 May 2008 (EDT)

:Andy, I interpreted your reference to the "small community" as referring to the town itself. Apparently I misinterpreted. Nobody is attempting to censor any discussion. I am in fact trying to have a discussion. I will ask again, would you please explain the methods that you used to derive these numbers, particularly the sample sizes but also the number of cancer diagnoses? If you are correct, there is nothing to lose, and you can only gain from being transparent. I have my doubts as to whether the population is truly as small as you say. However, if you can show that it is, then your hypothesis is correct. This is a matter of statistics, not of ideology. An intro stats text will go into detail about why it is important to be clear and detailed about methodology, and that is what is missing here.

:Out of curiosity, what are those medical reasons? Regardless of what one would expect, one needs to show that the data back up the expectation.

:Finally, the "fuss" is not about the possibility. It is about making a claim and showing data that are not clear. It's possible that any community has a higher rate of breast cancer. Ashkenazi Jewish women, for example, are at greater risk for BRCA1 and BRCA2 mutations that are associated with breast cancer. But we know that because clear, detailed data have been published. [[User:Murray|Murray]] 14:19, 7 May 2008 (EDT)

::Mr.Schlafly, regarding your points:
::*First, yes, I understand you are referring to an industry and not a geographic location. There's nothing inherently wrong about you attempting to do so. '''Except''' that if you are defining it so, you need to define the 'what', 'how' and 'where' of that industry. Geographical locations make research easy, as essentially you can simply start by analysing data within US zip codes. But defining members of an industry is hard, particularly since the industry is global, and contains many people in many roles. Sadly, the UN, WHO, or any other organization doesn't break out its health, age, income, etc statistics into 'pop singers' and 'actresses', so we must instead do the work ourselves. So - how do you intend to define your population?
::*Secondly, it is one thing to admit that a possibility exists. But is entirely another to admit that that possibility is indeed the case. Would you be prepared to admit that web workers like yourself are more prone to testicular cancer? If I can find thirty people who work on the web and have testicular cancer, will you believe me? It may be so, and of course it's possible, but IS it so? Only proper research can tell. But if I claim it, you have every right to disagree with me.
::*Thirdly, here is where I must begin to disagree with you, and for very simply reasons. No, it is NOT possible to make assumptions based upon a non-random data set comprising members you have selected who have shown the condition. The population sample you provide is statistically biased, as it is non-random, and therefore does not properly represent the total population - all actresses and pop stars, including those who ''both do '''and do not''''' have breast cancer. You have selected it to only include actresses and pop singers with breast cancer. This sample does not include the very many pop singers and actresses who did ''not'' develop breast cancer. This common mistake has a name in statistical analysis, and is referred to as '[[Selection Bias]]'. Using the same method, I could equally list twenty CEO's of technology companies who are bald and claim that being a CEO causes baldness. But it would not make it true. I refer you to the famous 'joke' statistic that the rise and fall of the population of penguins in the Arctic is extremely tightly correlated with the UK Conservative party holding Government office (or Arts funding - the stories vary). These examples and others are used to show that [[Correlation]] '''never''' automatically implies [[Causation]]. As a result of your selection bias, it is false to say that your conclusion "is unmistakeable" - though it doesn't for a second mean we shouldn't investigate your claim.
::*Finally, what are those medical reasons? What is your proposed theory of causation?' Why would an acute observer expect it? If you can be a little more clear, it would help.

::Your case remains completely unproven speculation, but is nevertheless interesting. [[User:StatsFan|StatsFan]] 14:31, 7 May 2008 (EDT)

==Mathematical Outline for such a theory==

If I understand your theory correctly, the maths for your theory would work as follows (please correct me if I am wrong): 

First, evaluate Global Breast Cancer Incidence in the [[Control Population]], i.e. the 'world at large': 
A=Global Population of women aged 18-45 
B=Total number of women belonging to Set A diagnosed with breast cancer 
B/A = Y (Average Global percentage of breast cancer incidence in young women aged 18-45) 
 
Note that since our hypothesis is that 'Hollywood' or 'lifestyle values' are what we are testing for (since we assume you don't intend to prove that there are, for example, more carcinogens in movie trailers than elsewhere), it would be important to exclude from 'B' those breast cancers caused by hereditary, environmental factors and other non-lifestyle factors. 
 
Next, evaluate 'Hollywood' Breast Cancer Incidence: 
W=Global population of Actresses and Pop Singers aged 18-45 
X=Global population of Actresses and Pop Singers aged 18-45 diagnosed with breast cancer 
X/W = Z (Average Global percentage of breast cancer in 'Hollywood' women) 
 
(From this data set, we would also have to exclude those 'non-lifestyle' breast cancers as above).
 

If Z > Y, and passes the Chi Square Test, you're definitely onto something, and quite likely a large amount of funding would immediately be available for further research. But with A, B, W and X as yet undefined, as here, we don't have proof yet of the trend. But at least we have defined the numbers we are looking for, and we can continue to study your theory. [[User:StatsFan|StatsFan]] 17:57, 7 May 2008 (EDT)

: Your symbols add nothing here, and your conclusion that "quite likely a large amount of funding would immediately be available for further research" is absurd. The same hysterically [[liberal]] reaction posted on this talk page by others above would great any application for funding of this hypothesis. Such application would find the trashcan before a closed-minded recipient looked beyond its first page.

: That is all the more amusing when one realizes that there is a fundamental reason why [[Hollywood]] types must have higher breast cancer incidence than the general public. Get past the symbols and look at this with an open mind, and you'll see it too.--[[User:Aschlafly|Aschlafly]] 19:51, 7 May 2008 (EDT)

::If you disagree with the methodology described above, what mathematical methodology do you instead propose? And what is this "fundamental reason" you refer to? I'm just curious as to how to prove this hypothesis. [[User:StatsFan|StatsFan]] 19:54, 7 May 2008 (EDT)

::: I don't object to the methodology, but I don't think it adds anything meaningful to the issue. If I asked whether a pitcher of unknown name who has thrown at least three no-hitters should likely be in the Hall of Fame, your methodology is not going help answer the statistical question.--[[User:Aschlafly|Aschlafly]] 20:00, 7 May 2008 (EDT)

:::: The methodology allows other people to reproduce it and not require having an open mind or a statement from an authority. In making the claim "Hollywood types have higher breast cancer incidence than the general public" you are making a statement that can be tested. Thus, people want to know how you came to that conclusion and how to test it for themselves so they can see if it is true or not. --[[User:Rutm|Rutm]] 20:03, 7 May 2008 (EDT)

::::OK, great - we're on the same path then! I'm delighted we can see eye-to-eye on something at last. As to your analogy, it is interesting, but kind of irrelevant to this discussion. So, if you agree with the math, then let's get to work!

::::We know that C = approx. 1 in 93, from the NCI figures. But those numbers refer to all women below 45. The rate for women between 18-45 would be higher, we could make a reasonable guess at, say, 1 in 70 (since the rate for women below 50 is 1 in 50). And you suggest a rate that is an order of magnitude higher than normal, correct? That would be, say, 1 in 7. Now, we need to establish the value of both W and X, the total population of women 18-45 who are in the entertainment business, and those within that population who have been diagnosed with breast cancer. How do we obtain those numbers? [[User:StatsFan|StatsFan]] 20:08, 7 May 2008 (EDT)
:::::Do note that this is the number of women in the entertainment business at some point in their lives (Shirley Temple was retired from the industry for 20 years when she was diagnosed) over the past 80 years (Shirley Temple was born in 1928). This would include singers (country? bluegrass? pop? rock? musicals? vaudeville?), actresses (stage? TV? movies?). Also be sure to include people from around the world in this - Australian soap opera star, Puerto Rican actress, Norwegian actress. It would help to know what the hypothesis being tested is beyond the vague "people in entertainment." --[[User:Rutm|Rutm]] 20:28, 7 May 2008 (EDT)

Andy, I have 2 questions for you. First, will you share your methods for determining the size of the sample and the number of cases? Second, what is your hypothesis as to causality? Thanks. [[User:Murray|Murray]] 20:35, 7 May 2008 (EDT)

'''REPLY TO THE ABOVE''': We have the data that we have. We don't have a double-blind controlled study of millions of subjects. We never will. Smokers went 100 years without the kind of study the naysayers demand here. Does that mean no one could conclude that smoking causes lung cancer? Of course not. Watch your relatives who smoke drop dead and then don't ignore it. Ditto here for breast cancer and [[Hollywood]]. Tobacco companies to this day claim the studies are inclusive and more studies are needed. If determined enough, one can often claim that. The more interesting -- and more important -- challenge is to draw the conclusions that can be drawn from the data that are available. Look at the very small population of pop female singers and breast cancer incidence, open your minds, and don't deny something that has deadly consequences.--[[User:Aschlafly|Aschlafly]] 20:45, 7 May 2008 (EDT)

::I take it you are refusing to share your methods, though it would be nice if you would just say that. ''We have the data that we have.'' True enough, but you're the only one who knows what it looks like. [[User:Murray|Murray]] 21:16, 7 May 2008 (EDT)

Mr.Schalfly, you keep suggesting that people are somehow disagreeing about the deadly risks of tobacco, but no-one is - they are incontestable, and the CEO's of tobacco companies, and their lawyers, just look utterly foolish as they make their arguments that they are not deadly. But this thesis of yours, to be similarly incontestable, needs to be have solid reasoning behind it. I doubt you'd disagree with that? For example, if you are suggesting that approximately 1 in 7 is the risk factor for women between 18-45 in the 'Hollywood' industry, and you have listed 20 individuals, are you suggesting that the total population of 'Hollywood' types is really just 140 women? I'm simply trying to get to the bottom of the maths. [[User:StatsFan|StatsFan]] 20:55, 7 May 2008 (EDT)

One other note - the point you make about "watch your smoker relatives drop dead" is an excellent example of selective sampling. I had two uncle's who smoked until they died in their nineties, neither of smoking-related illnesses. It doesn't prove for a moment though that smoking does not kill - it simply shows the effects of selective bias. [[User:StatsFan|StatsFan]] 20:59, 7 May 2008 (EDT)

: StatsFan, of course counterexamples (your uncles) do not disprove causation. But examples often do indicate causation when it is a rarely expected phenomenon.

: Again, I ask you: is it likely that an unnamed pitcher who threw three no-hitters had an overall career worthy of the Hall of Fame? That is a statistical question that you should be able to answer, but your incessant demand for more data is not going to help you solve it. There is no further specific data to be disclosed in that question, nor is additional data necessary to answer it.--[[User:Aschlafly|Aschlafly]] 21:19, 7 May 2008 (EDT)

::I am indeed confused by your metaphor. For me to know the answer to that I would need to know if it was common for a pitcher to throw three no-hitters, and if many Hall f Famers had thrown three no-hitters? If I'm correct (and I apologize if I am confused by your analogy), you are suggesting that since the data you present is 'obvious', then young Hollywood women do indeed contract breast cancer at higher rates, yes? [[User:StatsFan|StatsFan]] 21:24, 7 May 2008 (EDT)

::: StatsFan, the only info you need is the obvious one that no more than a few no-hitters occur each baseball season.

::: More generally, note that if you confine yourself to well-funded studies, then you limit yourself to what the funders of those studies want for their money. I'm interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions that no one is willing to fund and advertise.--[[User:Aschlafly|Aschlafly]] 21:48, 7 May 2008 (EDT)

Then let's look at the data. Refusal to allow your conclusions to be examined (which is the effect of hiding your methods) suggests something to hide. In addition to knowing the frequency of no hitters, it would be important to know the number of games pitched. That's the piece that we're missing here. [[User:Murray|Murray]] 23:04, 7 May 2008 (EDT)

::::But ''how many'' is 'a few' no-hitters? More than three, less than three? The answer affects whether they get into the Hall of Fame or not! As for going straight to real-world data, that's totally fine with me - I encourage you to go beyond the regular data, and I'll help. But wherever we get the data from, we STILL need to know two numbers:

::::A) Total number of young women between 18-45 in the 'Hollywood' business globally; and
::::B) Total number of those women who have contracted breast cancer.

::::Am I correct? [[User:StatsFan|StatsFan]] 22:11, 7 May 2008 (EDT)

::::: This obviously does require orignal research as no one has so far put up a study that is already done. If you are as you say "interested in going outside of the narrow sphere of funded studies and looking at real-world data to draw important conclusions" then that is what need to do, but this is the problem. You have a list of some names, what you don't have is
:::::# A working definition of 'Hollywood types'
:::::# The number of women in the age range you are interested in that meet your definition of Hollywood type.
:::::# The number of women in the age range you are interested in your definition of Hollywood type who have had breast cancer.
:::::If you had these three things then you would be able to do the test discribed above and be able to draw importatnt conclusions. All you have now is your list, some rather arbitrary and vague numbers, which to be honest, you just made-up based on what you think is right and a hypothesis which is testable which you have not done. [[User:DanielB|DanielB]] 23:55, 7 May 2008 (EDT)

Why doesnt Aschlafly answer these simple questions?
[[User:AdenJ|AdenJ]] 01:47, 8 May 2008 (EDT)

::The answer is obvious. He cannot. Or perhaps he will, after he makes up some "Schlafly statistics."--[[User:Whorton|Whorton]] 22:07, 8 May 2008 (EDT)

== Bias ==

One issue that I don't see addressed explicitly enough above (though I may have missed it, in which case apologies) is that of bias. I'll pick out just two sources of bias that (as far as I can see) completly undermine the article:
# What is the source of information on breast cancer cases among "Hollywood types"? It comes from the media, and is therefore heavily influenced by the Hollywood publicity machine and the priorities of the newspapers, TV channels, etc. The control group (the rest of the world, other female residents of California, whatever) is not subject to the same influences. Nobody reports a story about "32-year-old housewife dies of breast cancer". The only way to do this comparison is to ignore all information that comes from the media, and use an equivalent data source - which I guess means official epidemiological data - for both Hollywood and control groups.
# The selection of cases in the "Hollywood" group is subject to serious ''selection bias'', because a woman of roughly the right age and roughly the right profession is assigned to the group after (and perhaps, one suspects, ''because of'') the diagnosis. You must ''first'' define the population (the denominator) and ''then'' look to see how many of those who are in that population have the condition (the numerator).
I'd be very interested to see (a) the hypothetical causal link between a high incidence of breast cancer and "Hollywood" and (b) some proper data, properly gathered and analysed. Insistence that "it's obvious", and labeling those who ask for evidence as "liberals", is no substitute for a solid hypothesis, hard data, and a proper analysis. [[User:Humblpi|Humblpi]] 06:05, 8 May 2008 (EDT)

:Actually HumblePi is on to another problem that has been overlooked. You should start by defining 'Hollywood Types' before you collect your data not afterwards. [[User:DanielB|DanielB]] 21:35, 8 May 2008 (EDT)

::Actually, DanielB, that's not quite true - Mr.Schlafly has agreed that the Control Population is defined as "Global Women 18-45", and the study population is "Global Women 18-45 who are Performers in the Entertainment Business and have been diagnosed with breast cancer", but he has not yet provided figures for the former population - either we are waiting for him to provide these figures, or we are expected to calculate them, I'm not sure. He has however, provided us with the second population, a total of 20 women. However, I believe he needs to be a little more precise, as we need to more clearly define ''when'' these women were diagnosed, how far back in time we must do this study, how long they must have been in the business for, and a few other conditions. We also need a little more information from his as to his theory of causation - I think the suggestion is that somehow 'lifestyle' are involved, in which case we'll need to filter the Control Population for these lifestyle traits - and it's hard to do so without the details of what it is about the lifestyle we are to investigate. Mr.Schlafly? [[User:StatsFan|StatsFan]] 22:40, 8 May 2008 (EDT)

:::No – the study population cannot have “and have been diagnosed with breast cancer” as part of its definition. You must determine a study population and a control population before you look for breast cancer cases, and both groups must include women who may or may not have BC. The study population is “women in the entertainment industry,” or “Hollywood women.” [[User:Humblpi|Humblpi]] 05:55, 9 May 2008 (EDT)

== Reply ==

Folks, the comments above are long on talk and insults and short on insights. If none of the above naysayers are even willing to figure out why [[Hollywood]] types are expected to have higher incidence of breast cancer without even having to look at any data, then I'm wasting my time on this page.

In response to the request for a population, by the way, simply take the roughly 100 or so female pop singers (which I think I suggested before).--[[User:Aschlafly|Aschlafly]] 23:13, 8 May 2008 (EDT)

:It's not legitimate to take those 100 without knowing how the number was determined. Why the reluctance to clarify? And the cause is completely orthogonal to the question of whether the rate is elevated. [[User:Murray|Murray]] 23:48, 8 May 2008 (EDT)

:I’m sorry, Aschlafly, but I really have no idea what you mean. What is obvious? Why do you expect Hollywood types to have a higher incidence of breast cancer? But in any case (as Murray says), the hypothetical causal link is completely irrelevant to the study methods. And you have presented no data that provide any evidence whatsoever whether the incidence in Hollywood is higher, lower, or the same as that in the global population. Various people have pointed out flaws in the methodology. If you are not prepared to accept the help that is being offered, that's a pity. The ''Trustworthy Encyclopedia'' really should use trustworthy methods in its analysis. [[User:Humblpi|Humblpi]] 05:56, 9 May 2008 (EDT)

:It seems to me, (and forgive me if I'm wrong), but ''besides'' all of these young(ish) women being in show business (Hollywood-types) '''and''' being victims of breast cancer, thay all (must have) put their careers before the thought and "action" of having a family. It is a well known factor in risk assessment for BC that delaying childbirth or having an abortion has the likely but (of course) unsought side-effect of breast cancer. The woman so situated usually has the choice to advance her career '''or''' start her family but (often) the one comes at the expense of the other. [[User:MargeryCampbell|MargeryCampbell]] 12:45, 9 May 2008 (EDT)

:: Exactly right. God bless you for stating what should have been obvious to everyone else on this page. All who commented above on this page, please take note of what Margery Campbell (whom I do not know, but am honored to learn from) has just said.--[[User:Aschlafly|Aschlafly]] 13:07, 9 May 2008 (EDT)

:::But that simply ''doesn't make sense''. Of the first five in the list, one is the '''daughter''' of an actress, and one had two children in her early 20s. Not that this is even relevant - every time someone points out a flaw in your logic, you move the goalposts.[[User:PashaSuez|PashaSuez]] 15:19, 9 May 2008 (EDT)

::::Actually, Minnie Riperton had two children; Anastacia was the child of an entertainer and an actress; Soraya's mother herself had breast cancer (a cancer known to be strongly hereditary); Aisha Bicknell, daugther of an actress; Ann Jillian had a son; Amanda Mealing has two sons; Kylie Minogue is the daughter of an entertainer; Kate Jackson has a son; Jill Eikenberry has two children; Cynhtia Nixon has two children; Edie Falco is the daughter of an actress; Melissa Etheridge is gay; Julie Ege has two daughters; Shirley Temple had three children: Olivia Newton-John has a daughter; Sheryl Crow is the daughter of musicians.

It seems none of these individuals fit the thesis that is proposed here, and this 'mystery' seems like it doesn't exist, unless some better examples that fir the theory can be found. I vote for deletion unless the argument can be made in some sensible way that is not "because someone says it is so". [[User:GaryK|GaryK]] 16:22, 9 May 2008 (EDT)

Domain name

2008-05-09T18:43:03Z

GaryK: needed clarification

'''Domain name''' is a 'word form' describing a numerical [[Internet Protocol]] (IP) address of an internet computer or system, which is owned by a registrant of that name. In layman's terms, it is analogous to the names in a telephone directory which are associated with a telephone number. The domain name is 'pointed to' the actual IP address of a given computer or network, and allows a user to remember how to access that service more easily than having to remember a complex string of numbers<ref>[http://searchwindevelopment.techtarget.com/sDefinition/0,,sid8_gci211988,00.html Techtarget.com - Definition of Domain name]</ref>

Web servers, as is the case with all computers, are given [[IP address]]es when on the Internet. IP addresses may be represented by domain names (this is called "name resolution"). One example of a domain name would be "www.conservapedia.com".

==Subdomain==
The first portion of a domain name (usually "www") is known as a ''subdomain''.

==Top-level domain==
The last portion of a Web site's name is known as a top-level domain (or TLD). Common TLDs of US Web sites include ".com" (commercial site), ".org" (non-profit organization), ".edu" (educational institution), ".gov" (government institution), and ".mil" (military institution). Other countries have their own TLDs, such as Britain's ".co.uk" and Germany's ".de" TLD.

==References==
<references/>
==See also==
*[[Web site]]
*[[IP address]]

[[Category:Internet]]

Infection

2008-05-09T17:31:15Z

GaryK: Is this OK?

An '''infection''' occurs when a [[parasite|parasitic]] [[organism]] colonizes a host organism and gains nourishment from the host.<ref>http://www.medterms.com/script/main/art.asp?articlekey=12923</ref>

The term is most often used in reference to a [[bacteria|bacterial]] infection, where a harmful opportunistic bacteria begins to grow in or on some part of an organism's body.

The term is also used in reference to viral infections, even though [[virus|viruses]] are not "organisms" in the strictest sense of the word.

Because the parasite needs an opening in order to enter the hosts body, the host is especially vulnerable if it has recently scraped or cut its skin, although this is not at all necessary for an infection to occur.

There are examples of bacteria growing in [[mutualism|mutualistic]] rather than parasitic fashion. The digestive systems of most organisms, including humans, depend on the presence of beneficial bacteria in order to properly digest food, especially plant matter.

Infections are usually fought by the use of [[Antibiotics]], which kill the bacteria causing the infection. [[Penicillin]] is one well known example.

==References==
<references/>

[[Category: Medicine]]

Talk:Infection

2008-05-09T16:38:01Z

GaryK: response

* Infections may be defeated by the use of [[Antibiotics]], agents that can kill the bacteria that cause infections. In recent years, very powerful infections known as [http://www.mayoclinic.com/health/mrsa/DS00735 Methicillin-resistant Staphylococcus aureus] or [[MRSA]] have wreaked havoc in hospitals around the world, as they are caused by bacteria that have become resistant to multiple drugs that had previously been used to combat them.

Please discuss why you added this. Maybe it could go into the [[Antibiotics]] article. --[[User:Ed Poor|Ed Poor]] [[User talk:Ed Poor|Talk]] 12:34, 9 May 2008 (EDT)

Edit appear to be legit to me, I don't think the editor was trying to argue antibiotics are usless -- [[Image:50 star flag.png|12px]] [[User:Deborah|Deborah]] [[Special:Contributions/Deborah|(contributions)]] [[User_talk:Deborah|(talk)]] 12:37, 9 May 2008 (EDT)

Hi! I think you're right, it might be more appropriate in the Antibiotics article - it's too much information for an article on Infections. But I do think that there should be ''something'' in this article about how infections can be fought? Perhaps some like this:

"Infections are traditionally fought by the use of [[Antibiotics]], of which Penicillin is one well known example"

What do you think? [[User:GaryK|GaryK]] 12:38, 9 May 2008 (EDT)

MySpace

2008-05-09T16:34:29Z

GaryK:

'''MySpace''' is an online social networking web site which allows users to create custom profiles, write diaries (commonly know as [[blog]]s), and upload photos and videos. It became popular among people in the music industry as a way to build a fanbase and promote their music. As of March 2007, over 130 Million people use MySpace.
==Criticism==
*Many adults have criticized MySpace as being a hotbed for pedophiles and other undesirable users.
*Many users do not know how much or how little information to put online, sometimes causing them to put far too much personal information online, where anyone can read it. <ref>[http://www.csoonline.com.au/index.php/id;1561163121;fp;16;fpid;0 "Mr. Safety keeps watch on MySpace security"]</ref>
*Others have criticized it for being the very demise of real-life relationships, instead forcing those relationships onto the internet.
*Several people have voiced complaints of teenagers posting suggestive or otherwise inappropriate pictures of themselves. They claim that Myspace has not done enough to protect minors from the dangers associated with the internet. Myspace responded by implementing a "private" setting for profiles, blocking access to strangers, but this and other security features have done little to sway critics.

==References==
<references/>
[[category:information technology]]

MySpace

2008-05-09T16:33:38Z

GaryK:

'''MySpace''' is an online social networking web site which allows users to create custom profiles, write diaries (commonly know as [[blog]]s), and upload photos and videos. As of March 2007, over 130 Million people use MySpace.
==Criticism==
*Many adults have criticized MySpace as being a hotbed for pedophiles and other undesirable users.
*Many users do not know how much or how little information to put online, sometimes causing them to put far too much personal information online, where anyone can read it. <ref>[http://www.csoonline.com.au/index.php/id;1561163121;fp;16;fpid;0 "Mr. Safety keeps watch on MySpace security"]</ref>
*Others have criticized it for being the very demise of real-life relationships, instead forcing those relationships onto the internet.
*Several people have voiced complaints of teenagers posting suggestive or otherwise inappropriate pictures of themselves. They claim that Myspace has not done enough to protect minors from the dangers associated with the internet. Myspace responded by implementing a "private" setting for profiles, blocking access to strangers, but this and other security features have done little to sway critics.

==References==
<references/>
[[category:information technology]]

Infection

2008-05-09T16:32:06Z

GaryK:

An '''infection''' occurs when a [[parasite|parasitic]] [[organism]] colonizes a host organism and gains nourishment from the host.<ref>http://www.medterms.com/script/main/art.asp?articlekey=12923</ref>

The term is most often used in reference to a [[bacteria|bacterial]] infection, where a harmful opportunistic bacteria begins to grow in or on some part of an organism's body.

The term is also used in reference to viral infections, even though [[virus|viruses]] are not "organisms" in the strictest sense of the word.

Because the parasite needs an opening in order to enter the hosts body, the host is especially vulnerable if it has recently scraped or cut its skin, although this is not at all necessary for an infection to occur.

There are examples of bacteria growing in [[mutualism|mutualistic]] rather than parasitic fashion. The digestive systems of most organisms, including humans, depend on the presence of beneficial bacteria in order to properly digest food, especially plant matter.

Infections may be defeated by the use of [[Antibiotics]], agents that can kill the bacteria that cause infections. In recent years, very powerful infections known as [http://www.mayoclinic.com/health/mrsa/DS00735 Methicillin-resistant Staphylococcus aureus] or [[MRSA]] have wreaked havoc in hospitals around the world, as they are caused by bacteria that have become resistant to multiple drugs that had previously been used to combat them.
==References==
<references/>

[[Category: Medicine]]

Programmer

2008-05-09T16:22:27Z

GaryK:

A '''programmer''' is one whose job involves writing [[computer programs]], or [[applications]] for [[computer]]s. This means to create programs that have instructions for the computer to follow.

[[Category:Technology]]

Exonerate

2008-05-09T16:19:40Z

GaryK:

In [[Law]], to '''exonerate''' someone is to remove a [[charge]], responsibility, or duty.
[[Category:Legal Terms]]

Lisbon

2008-05-09T16:18:58Z

GaryK:

[[Image:Lisbon.jpg|right|300px]]
'''Lisbon''' ([[Portuguese]] ''Lisboa'') is the capital of [[Portugal]], a country in the Iberian Peninsula. It has a population of around 560,000.

[[Category:Capital Cities]]
[[Category:Portugal]]

Mole (chemistry)

2008-05-09T16:17:59Z

GaryK:

A '''mole''' is the amount of a substance that contains the same number of [[molecule]]s or other [[element]]ary units as the number of atoms in 0.012 kilograms (12 grams) of [[carbon]] 12. Just as a dozen always contains twelve items, a mole always contains 6.022x1023 items. This value is known as '''Avogadro's number'''. Moles are a convenient unit for discussing chemical reactions, because typical reactions can have huge amounts of atoms, but only a few moles.

A '''Mole''' is also a small, underground dwelling mammal of the family ''Talpidae''.
== See Also ==

* [[International System of Units]]

[[Category:Chemistry]]
[[Category:Physics]]
[[Category:Units of Measurement]]

Heat death of the universe

2008-05-09T16:14:15Z

GaryK:

According to [[secular]] physicists, the '''heat death of the universe''' is one possible scenario for the final fate of the [[universe]]. It speculates that, over time, all [[energy]] in the universe will eventually be converted to heat energy, which will then be spread more or less evenly over all space in accordance with the second law of [[thermodynamics]]. With all energy so widely distributed, the universe will revert to an extremely cold state, and nowhere will there be a sufficient concentration of energy to sustain any physical activity or movement.

[[category:Astronomy]]
[[category:Physics]]

Personal property

2008-05-09T16:13:05Z

GaryK:

In legal terms, '''Personal property''' is anything a person owns other than [[real estate]]. [[Category:Legal Terms]]

Breccia

2008-05-09T16:12:37Z

GaryK:

[[Image:Breccia.jpg|thumb|300px|This breccia is found in Death Valley's Mosaic Canyon.]]'''Breccia''' is a coarse-grained [[sedimentary]] [[rock]] made up of broken [[rock]] fragments with relatively sharp corners. These large, angular fragments are cemented by a fine-grained matrix or [[mineral]] cement.<ref>http://wrgis.wr.usgs.gov/docs/parks/rxmin/gbreccia.html</ref>

==References==

<references/>

[[Category:Geology]]