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by cm2187
3234 days ago
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The population of Google technical employees is I think the equivalent to the population of Olympic athletes in my example. If the general population has a different distribution (again whether you agree or not with that assumption), then there should be a natural imbalance among the cream of the top that made it to Google. And as you said, those who made it are all "Olympic athletes" (in theory, they should have been recruited based on individual merit) so these distributions do not mean that a female google employee would be more or less capable than a male, but it will result in less female google employees than male employees. |
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Your conclusion does not follow from the premise. It's not hard to come up with a distribution that is identical for the top x% but differs for the general population. Or one where the difference in top x% is in the opposite direction of the general population (e.g. two normal distributions where mu1 < mu2, and sigma1 > sigma2).