@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.
@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?
@ceo_of_monoeye_dating @roboneko @icedquinn @Ashalam
I think that's wishful thinking.
@ceo_of_monoeye_dating @roboneko @icedquinn @Ashalam
Too much of the population uses online dating to still claim sampling is flawed to this extent.
@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.
@roboneko @ceo_of_monoeye_dating @icedquinn @Ashalam
>so certain populations will build up on the site
I disagree.
@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.
@roboneko @ceo_of_monoeye_dating @icedquinn @Ashalam
You seriously don't get to say that. No.
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