This belief that women are super choosy is often pushed by incels and simply not true, even in this particular study they cite, it shows the opposite.
Does that mean anything? Of course most women date men they consider to be not attractive, they rated 80% of men as sub 5s
To be fair, women tend to put a lot more effort into being attractive than men do.
Guys could try a bit harder.
most women are fat in america so i'm not really sure this is true
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Any chart that perfect looking is complete BS. I know it's "density" but still, whatever smoothing factor is being used is cranked up way too high. I guess a histogram wouldn't be "beautiful" enough, but if there was any data underneath that mess, it's long been buried.
I guess I'll still believe it though because it agrees with my preconceptions.
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That's because the chart isn't a KDE or any kind of smoothed histogram, they just fit a Gaussian to each data set and called it a day.
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They should have used gnome
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I think it's complete bullshit, for the one reason that 40% of foids are obese. That means they can't possibly be over a 2. The rest of the data should then be normally distributed, but that 40% spike that should be there is missing.
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Men are complete simps and will frick anything
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Grandpa, “thiccc” girls are in style now (borderline overweight too overweight women with good fat distribution). Moids are flexible creatures that will automatically do all kinds of mental gymnastics too describe why a woman is frickable. Women do the opposite (hence why they're objectively superior).
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43% of americans are obese (https://www.niddk.nih.gov/health-information/health-statistics/overweight-obesity#:~:text=More%20than%201%20in%203,who%20are%20overweight%20(27.5%25))
The difference is foids have standards while moids will frick anything that moves.
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are le standard deviation charts fake?
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I think it's not data, but rather they grabbed a mean and standard deviation from the data and generated a graph from the two numbers
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Mollified
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yeah, they probably take the empirical mean and variance of the data and draw the normal distribution with those as parameters.
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