Even if this is true--i.e. that there is a statistically significant difference in means--this is irrelevant unless it is established...
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Replying to @EmilyGorcenski
that such a mean difference has any meaning effect on work output. Then, we'd need to explore whether within-group if such differences...
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Replying to @EmilyGorcenski
also have some effect on work output. In other words, if your delta between women and men is, say, 1.5 units and this is meaningful...
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Replying to @EmilyGorcenski
then why aren't you screening/implementing policies that exclude men that are 1.5 units below mean?
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Replying to @EmilyGorcenski
This is not addressed by fraudulent non-PhD-haver James Damore. Nor is it ever made clear how such a small difference in means...
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Replying to @EmilyGorcenski
with such a wide distribution (i.e. high-variance) has any relevant effect on work output.
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Replying to @EmilyGorcenski
This is like saying, "well, women are statistically-significantly shorter." This is true, but irrelevant for the job.
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Replying to @EmilyGorcenski
So in other words, throwing scientific "facts" out there is fucking irrelevant because those "facts" have nothing to do with the thesis.
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Replying to @EmilyGorcenski
They are, instead, used as smokescreens and touchstones for pre-defined bigotry. "I HAVE DEPLOYED A SCIENCE I AM INFALLIBLE."
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Replying to @EmilyGorcenski
Additionally, it would require proving that the gendered difference is so significant that it leads to a skew as big as we see today.
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I'm assuming that as true in this thought experiment (it was his assertion).
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Replying to @EmilyGorcenski
Aah okay. You're more generous with his thesis than I am :)
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