this post was submitted on 04 Aug 2024
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[–] [email protected] 5 points 3 months ago (1 children)

You know the kind of research result where you go: "Well, no shit sherlock!" ?

This is the diametrical opposite of that...

[–] [email protected] 1 points 3 months ago* (last edited 3 months ago)

Yea, peer review is (almost) dead.

[–] [email protected] 8 points 3 months ago (1 children)

I'm changing my name to "Sexy".

[–] [email protected] 5 points 3 months ago
[–] [email protected] 22 points 3 months ago (2 children)

I’m gonna need a lot of concurring studies to accept this.

Also, did you know the shape of your skull can determine if you’re a criminal? /s

[–] [email protected] 5 points 3 months ago (1 children)

Hmm I'm not liking where this is going.

[–] [email protected] 4 points 3 months ago

Going? Naw bud, it gone.

[–] [email protected] 9 points 3 months ago

And now we know his name! Arrest him!

[–] [email protected] 40 points 3 months ago (2 children)

Based on the methods, seems a stretch to say this isnt correlation alone

[–] [email protected] 17 points 3 months ago

Yeah, just the wording of the title is a huge red flag.

I'm curious if "faces" are really just faces or shoulders up where hairstyles and clothes give clues.

Like, an a adult that goes by Bob, Bobby, or Robert looks different. And people would subconsciously account for age and what names were popular.

A lot of shit goes on behind the scenes and sometimes the conscious brain doesn't know and makes up it's own reason for why it decided something.

[–] [email protected] 7 points 3 months ago* (last edited 3 months ago) (1 children)

I don't care which way the causation goes or whether it comes from the name choice and preferences of the parents (yea, bad title), what surprised me is that ML can predict a name based on a face at all, there should be no correlation in first place.

[–] [email protected] 19 points 3 months ago (1 children)

I disagree. Age biases the statistical likelihood of a name. Features that hint in any ethnic direction. Also some visible features might bias towards urban vs rural upbringing which also would also lean names in another direction.

[–] [email protected] 5 points 3 months ago* (last edited 3 months ago)

Oh yea, baby name trends, ethnicity, I don't know how heterogeneous the datasets they are using are when they mention the strength of the correlation, I was imagining it would distinguish a John from a Peter, but there could be a much lower correlation in that subset.

[–] [email protected] -3 points 3 months ago

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