Dear Data Science Community:
Please, for the love of everything good, stop using gender as your examples of dichotomous variables.

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sex is clearly an important binary epidemiological variable. ~1% may be NA https://doi.org/bttkh4
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For very limited specific cases, yes.
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reading up... what do you think of this?https://twitter.com/silvervvulpes/status/814861885250109440 …
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None of the relevant things about gender or race are biologically based.
End of conversation
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I knew it!
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aside from merging those terms from public DBs, new to this issue. Are there DNA studies concerned about gender?
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Gender is not defined by DNA, so I'm unsure what you mean.
End of conversation
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