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Comment by YeGoblynQueenne

>> The research found that gay men and women tended to have “gender-atypical” features, expressions and “grooming styles”, essentially meaning gay men appeared more feminine and vice versa. The data also identified certain trends, including that gay men had narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to straight women.

Besides the fact that this sounds deeply offensive for gay people, it also sounds terribly, awfully unlikely.

In fact, it reminds of the recent "phrenology" paper, where deep nets were used to, allegedly, "identify criminals from their faces":

https://www.technologyreview.com/s/602955/neural-network-lea...

Nowadays we know that sexual orientation is something that is neither set in stone, nor absolute (people are known to change throughout their lives, as well as have occasional partners of the "other" sex, whichever is opposite to their normal orientation). So the very idea of an accurate "gaydar" is ludicrous in and of itself.

Finally, I wonder why anyone with an ounce of brains would seriously consider training a machine learning algorithm to recognise peoples' orientation. What morally justifiable practical purpose could there possibly be?

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