Race science blogger creates PedoAI, using phrenology to detect child molestors
Race science blogger creates PedoAI, using phrenology to detect child molestors
Introducing PedoAI. The first deep learning driven physiognomy model built to distinguish predatory pedophilia, created from a dataset of 1.2 million criminals
While this linear model's overall predictive accuracy barely outperformed random guessing,
I was tempted to write this up for Pivot but fuck giving that blog any sort of publicity.
the rest of the site is a stupendous assortment of a very small field of focus that made this ideal for sneerclub and not just techtakes
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I picked the wrong week to be an older, white, overweight man. 😱
His commenters really didn't like the 'white' part.
holy fuck
Interesting study, but I am skeptical that this result applies to the general population (without the "convicted" qualifier).
If non-whites are more violently criminal than whites, then we can expect them to be imprisoned earlier in life for any violent crime, of which pedophilia will be a small subset.
So we have more convicted white paedos because ....... the coloreds do more crimes??! what in the actual fuck did I just read?
No, no, it means non-white pedos will be jailed earlier in their lives. Makes perfect sense, dinnit?
I like how this presupposes that unlike the tendency towards violent crime, pedophilia is equally distributed among all races and skull bump arrangements.
Don't worry, the people who would go and accuse you of being a pedophile would do so with or without this tool. It would just give them faux legitimacy.
E: post + profile picture was a lol moment however.