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Old 01-14-2014, 03:20 PM   #25
tonynyc
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Originally Posted by loveembig View Post
The study goes back almost 6 years now and as you should know studies are NOT science. Studies are made up of cherry-picked data that “researchers” use to formulate conclusions in line with the point of view of who or what organization funded or sponsored the study. This 2008 study was a follow up to a study by the same team that claimed fat women have more unplanned pregnancies which give rise to the concept that overweight women are less likely to use proper contraception.

“Previous studies by the same team observed obese and overweight women also have a higher risk of unintended pregnancy than women of a normal weight.”

http://www.dailymail.co.uk/sciencete...new-study.html

The 2008 study in question is also in direct contradiction with a French study published in 2010 that claims obese women are less likely to report having a sexual partner in the past 12 months while being more likely to report and STD or an unplanned pregnancy.

http://www.medscape.com/viewarticle/723783
http://www.livescience.com/6616-unpl...ese-women.html

Now which study is to be believed? The truth of the matter is neither study is to be taken at face value because studies such as these are undertaken with ulterior motives in mind. They are planned and sponsored bullshit used to further a particular agenda. Are overweight women having more sex than their thinner counterparts; Yes, No, Maybe, who knows? There is simply no exact way of telling because the outcome of either study depends on the study participants telling the honest truth about their sex lives. And if there is one thing that I am certain about is that people lie like dogs about how many times they get laid.
At the end of the day- you can only draw conclusions on what each study tries to prove.

Now whether folks are being truthful or not - one has to come up with the "inner bullshit meter" to weed out those less than truthful answers.

Now- short of some sort of longitudinal study...

As for the methodology - anything can be proven or disproven based on the manner which the data is analyzed- confidence intervals and biases from the researchers themselves.

One could do a sophisticated "meta-analysis" where you merge the results of all studies to try to come up with some sort of "general" conclusion..
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