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>The point is the algorithm has a sexist bias, as multiple anecdotes show.

By definition anecdotes prove nothing. Until there is statistically significant evidence of sexism this is just hearsay and your post gets close to slander.

In this case it will be absolutely trivial to check. Just feed in the same data for the same person only with the gender flipped.

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The whole point of the original tweet was to point potential systemic gender bias in the algorithm. The argument here is that the black box algorithm may produce sexist results whether gender is included or not.

While there may only be anecdotes at this point, there should be some investigation and discussion into whether bias may occur toward particular classes outside of explicit gender checks. Seems like that would be done by comparing the allowed limits with gender, race, etc. and considering why the algorithm may unnecessarily limit those classes on a broad scale.

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