The Overly Analytical Guide to Escorting: everything you need to know and waaay more (like marketing, screening, and male psychology) about how to be a safe and successful hoe.
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You might want to explain or link to something that explains likelihood ratios in the article. I am vaguely aware of them, but still don't know how to interpret the two numbers, even after having tried to read the Wikipedia page.
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Sweet, that helps a lot. So if someone says eating chocolate is correlated with getting acne at r=1.0, LR=100, that the most likely correlation is 1 (i.e. if you eat chocolate you will definitely get acne) and that this correlation is 100x as likely as there being no correlation?
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Also as far as I understand this assumes normal distributions, not weird stuff like bimodal distributions. But then afaik most correlational stuff assumes normal distributions and it's hard to make it work otherwise?
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Gotcha. That sounds totally right. (Of course, that sounds totally right to *me* who knows very little about statistics.)
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