Doing a ChatGPT request with similar (but not identical) criteria gives me 3.4 million women

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I don't have a Twitter account.

People aged 25-33 - 45 million

Female - 50% of the population - 22.5M remain

White - 60% of the population - 13.5M

No SSRIs - 88% - 11.88M

115+ IQ - 16% of the population is >1 std. dev - 1.9M

Upper half facial attractiveness - 50% - 950K

No children - 80% - 760K

No gender studies degree - 99% - 750K

No BPD - 95% - 710K

Not a leftist - 56% - 400K

Moderate weight - 68% (within 1 std dev) - 270K

Interested in a serious relationship - 50% - 135K

Tattoos debt and smut I don't trust the numbers for but very much doubt they remove 99% of the remaining 135K

Multiplication like this assumes the values are independent, which they're not... on the one hand this hurts because attractive, relationship-minded women are probably already finding relationships but on the other it helps because if they're not mentally ill that removes a lot of the leftist/whales/gender studies/tattoos/heavily indebted cases

For example, do you really need to specify both not a gender studies major and not a leftist? You're letting the AI compound those when in reality 99.9% of gender studies majors are going to be hardcore lefties.

My criteria was closer to:

People aged 25-33 - 45M

Female - 22.5M

European, Asian or Pacific - 70% - 15.75M

Moderate weight (-2 to +1 std dev) - 77% - 12.13M

Not mentally ill - 80% - 9.7M

No children - 80% - 7.75M

Not a leftist - 56% - 4.34M

Seeking a serious relationship - 50% - 2.17M

but with a broader age range hence the 3M+ result

This suggests that I should find around 1 in 10 young women to be marriageable. I think I'm a bit pickier than that, but definitely not 1 in 10,000 picky.