kind of bizzare that men thought happy men would be the most attractive to women but women apparently think happiness is cringe and prefer men who look bored and dead

@icedquinn
No... this is precisely what I would have expected. Women have no evolutionary pressure to select for happy men. They evolved to select for successful and powerful men. That's pretty much it. Men's emotions don't play much of a role in that. The slight pride uptick is more of a byproduct of successful men.

On the other side of the coin, the evolutionary pressure on men is to protect women and ensure their happiness, because men's goal is to make women faithful to them. So from the start, women being happy is what men want.

@alyx @Ashalam @icedquinn @alyx there was a really good response to this chart by @ceo_of_monoeye_dating but I'm too tired to be bothered to dig it up right now
@roboneko @Ashalam @alyx @icedquinn tl;dr "Dating site statistics sample people who remain on dating sites, and not the general population."

@ceo_of_monoeye_dating @roboneko @icedquinn @Ashalam
So is the general idea that women on dating sites just happen to be far worse people than women in the general population?

@alyx @roboneko @icedquinn @Ashalam That is one way to interpret it. There's lots of interpretations of this, but none of them are "this is the general dating population."
@alyx @roboneko @icedquinn @Ashalam Proper sampling matters. When your sample is flawed, you need to acknowledge it. Extrapolating to the general populace is not possible here.

@ceo_of_monoeye_dating @roboneko @icedquinn @Ashalam
Too much of the population uses online dating to still claim sampling is flawed to this extent.

@alyx @roboneko @icedquinn @Ashalam Oh, I want to point out here that I have been saying "remain on dating sites" as opposed to "use dating sites" for a reason.

If someone uses a dating app for 1 month, pairs off with someone, then deletes the app, you get less data out of them.

If someone uses the dating app for 12 months unsuccessfully, then you get a lot of data out of them.

Most of this data is coming from people who stayed on the dating app and didn't pair off successfully.

@ceo_of_monoeye_dating @roboneko @icedquinn @Ashalam
A single person who stays 12 months on a dating site is not gonna become 12 data points, while a person that stays 1 month only provides 1 data point. That's not how studies are made. This is a severely erroneous assumption. If someone were to make this mistake in constructing a study, I would demand they be thrown out of academia.
Studies show a snapshot in 1 point of time, where each individual is 1 data point. That's it. You don't need to track the views of people who got married out of dating sites to get an unbiased view on how dating men rate women and vice-versa.

@alyx @alyx @ceo_of_monoeye_dating @icedquinn @Ashalam the problem is what happens to the sample over time. people come and people go but they don't do so at the same rates. so certain populations will build up on the site

the study is a snapshot, but the point is, what is it a snapshot _of_?
@alyx @alyx @ceo_of_monoeye_dating @icedquinn @Ashalam why? if populations leave at a different rate than they join then you will establish some equilibrium

if every day you add 5 red and 5 blue marbles to a bag. and then you remove 10% of the red ones and 30% of the blue ones. you will not have a 50/50 mix in the bag

@roboneko @ceo_of_monoeye_dating @icedquinn @Ashalam
I've explained far too much already. At this point I'm feeling like I'm talking to a stubborn wall.

@alyx @alyx @ceo_of_monoeye_dating @icedquinn @Ashalam why don't I? do you think my impression of you is wrong? if so, why? is there any particular reason you believe yourself to have a good grasp of statistical phenomena?

I've done quite a bit of that math for various reasons and I still frequently get confused by it

which brings up another good example. genetic algorithms. they operate on a very similar principle. lots of trash goes in, stuff that's only slightly better gets selected for slightly more frequently, and eventually you're left with really good stuff
@roboneko @Ashalam @alyx @icedquinn That one has been saved in my folder for years and this is the first time she gets to come out.
@alyx @alyx @ceo_of_monoeye_dating @icedquinn @Ashalam well if you really did mute me then you probably won't see this but :shrug_kon: your misunderstanding is the "increasing forever" bit. simple equilibria look like a sigmoid. which is also (approximately) what large human populations look like post industrialization btw
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