Yeah, but they claim 90-ish if they have multiple pictures
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Replying to @gedankenstuecke
I've read v little about the author but what little I have read concerns me.
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Replying to @BodenLab @gedankenstuecke
Not that this matters at all but 50% is higher than chance. It's not 50/50 if somebody is gay. Gay people aren't 50% of the population.
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The data was balanced, so I think 57% is not much better than chance. That was using their "facial femininity" feature only.
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Replying to @sir_deenicus @o_guest and
If I were to pick out a flaw, it would be from doing 20-fold cv on a dataset of faces where total images outnumbers number of people.
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Ah, I missed that they had equal numbers of "gay" and "not gay" people. Nice catch!
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Replying to @o_guest @sir_deenicus and
The flaw isn't in the dataset really either way, of course.
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Hmm what do you mean? I don't think it will hold if they took a larger sample, across subcultures and races.
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They don’t gave a single image and ask “gay or straight?” but gave one each and asked “which is which?”
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You get bet your ass none of the gay guys' photos they used were of bears!
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Obviously! That photo average thing has no beard at all — the so-called straight one does!
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The "feminine" features stereotype paper is based on angers/hurts. Do I look like a fucking woman?! No. Gay men don't look like women ffs
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It's gross.
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End of conversation
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