case: (Default)
Case ([personal profile] case) wrote in [community profile] fandomsecrets2013-10-13 03:23 pm

[ SECRET POST #2476 ]


⌈ Secret Post #2476 ⌋

Warning: Some secrets are NOT worksafe and may contain SPOILERS.

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Notes:

Secrets Left to Post: 02 pages, 048 secrets from Secret Submission Post #354.
Secrets Not Posted: [ 0 - broken links ], [ 0 - not!secrets ], [ 0 - not!fandom ], [ 0 - too big ], [ 0 - repeat ].
Current Secret Submissions Post: here.
Suggestions, comments, and concerns should go here.

(Anonymous) 2013-10-13 10:07 pm (UTC)(link)
NA

Both of you are misusing statistics and statistical terminology.

I have seen references to studies claiming 90% of the population is heterosexual, also studies saying 95%, and 99%. Off the top of my head, I do not remember the sample size, target population, or methodology of any of these studies. I do remember one of the above-90% ones claimed its findings overrode the 90% one.

Statistics don't mean jack shit unless the methods and context of their gathering is unbiased. Yes. The true value probably varies in different target populations, and study methods can create bias either in what population they target or how the data is gathered. I think you've just spectacularly illustrated that at present the context surrounding questions of sexuality is anything but. No it is not statistically unbiased, because a context doesn't have that attribute! A study can be statistically biased, or a result, but not a context.

Because statistically you be straight. You cannot be "statistically straight". That's ridiculous. Statistically speaking, a random individual drawn from a given population is most likely to be straight.

But if someone walked up to me and asked, "What do you think my sexuality is?" I am going to say straight. Because 9.5 out of 10 times I would be correct. Probably not, because since sexuality generally doesn't come up in casual conversation, if they're bringing it up out of nowhere it is probably not what you're assuming it to be.