Here's a story that even most MGTOWs find shocking: There was a large group of women gathered in a decent sized town (about a quarter million people). The conversation turned to bitching about the men they were dating as it always does. As they talked they realized that they were all bitching about the same half dozen or so men. So in a city of a quarter million people you can count the number of gigachads on one or two hands, and they're plowing through a mid sized city worth of women. The minute you think that female hypergamy can't get worse you're proven wrong.
Lol of course not. That would involve women being accountable for their actions and feminism is proof that they'll burn society to the ground before that happens.
This isn't shocking even if you look at it from a man's perspective in trying to find adequate women to date.
Percentage of women = 50%
Percentage of overweight women = 70%
Percentage of women 18-35yo = 16.5%
Percentage of single women without children 18-35yo = 20%
If you're white, there's a good chance only 75% of the women will meet your race/culture requisites
80% of women don't have a deal-breaker STI (like herpies-2)
7.5% of women 18-35yo have disabilities
Alright, if we just play with these included statistics, in a city of 250,000 people, there would be only 1600 women in the entire city who are datable. If you're a guy who has even dated a few of these women, there's a good chance if you got together with other guys who are actively dating, you'll end up overlapping.
When I was in a city of 1,000,000 and dating women, me and my other guy friends would overlap with the women all the time. This is almost even more true with dating apps.
Now for women, if there's only 1600 datable women in a city, then from a woman's perspective, there's probably only ~300 datable men in the whole city and of those 300 datable men only maybe 50 are actual quality (in the women's eyes)
I don't doubt there number of "dateable women" is only a fraction of the population of a city, but your calculation makes the assumption that these factors are independent (i.e. there is no correlation between them), when it is unlikely to be the case.
You're not wrong but I actually specifically chose things that aren't very correlated.
Yes, overweight comes down with age so the 70% is high, it's probably closer to 60% for that age bracket but I didn't bother to be highly accurate.
Also, non white women tend to be fatter so that 75% for similar race/culture preference might be too low given how we're factoring in non-fat people.
However, for percentage of single women who weren't mothers, I used the appropriate age category but again, probably more non-white single mothers.
For disabled women for example, I also used the appropriate age category; however, it's likely that more overweight women are disabled but it's also likely that most disabled women are single which skews the single women data so overall it might be a wash. Might be more white disabled though because we likely wouldn't let in immigrant disabled but it's likely not a huge difference.
I understand what you're saying, I'm just saying even when you calculate how everything interacts with one another, the number I came to is close enough. It's not much better than that.
We didn't even factor in looks besides weight, personality or anything. The numbers really are this bad.
Here's a story that even most MGTOWs find shocking: There was a large group of women gathered in a decent sized town (about a quarter million people). The conversation turned to bitching about the men they were dating as it always does. As they talked they realized that they were all bitching about the same half dozen or so men. So in a city of a quarter million people you can count the number of gigachads on one or two hands, and they're plowing through a mid sized city worth of women. The minute you think that female hypergamy can't get worse you're proven wrong.
Lol of course not. That would involve women being accountable for their actions and feminism is proof that they'll burn society to the ground before that happens.
This isn't shocking even if you look at it from a man's perspective in trying to find adequate women to date.
Alright, if we just play with these included statistics, in a city of 250,000 people, there would be only 1600 women in the entire city who are datable. If you're a guy who has even dated a few of these women, there's a good chance if you got together with other guys who are actively dating, you'll end up overlapping.
When I was in a city of 1,000,000 and dating women, me and my other guy friends would overlap with the women all the time. This is almost even more true with dating apps.
Now for women, if there's only 1600 datable women in a city, then from a woman's perspective, there's probably only ~300 datable men in the whole city and of those 300 datable men only maybe 50 are actual quality (in the women's eyes)
I don't doubt there number of "dateable women" is only a fraction of the population of a city, but your calculation makes the assumption that these factors are independent (i.e. there is no correlation between them), when it is unlikely to be the case.
You're not wrong but I actually specifically chose things that aren't very correlated.
Yes, overweight comes down with age so the 70% is high, it's probably closer to 60% for that age bracket but I didn't bother to be highly accurate.
Also, non white women tend to be fatter so that 75% for similar race/culture preference might be too low given how we're factoring in non-fat people.
However, for percentage of single women who weren't mothers, I used the appropriate age category but again, probably more non-white single mothers.
For disabled women for example, I also used the appropriate age category; however, it's likely that more overweight women are disabled but it's also likely that most disabled women are single which skews the single women data so overall it might be a wash. Might be more white disabled though because we likely wouldn't let in immigrant disabled but it's likely not a huge difference.
I understand what you're saying, I'm just saying even when you calculate how everything interacts with one another, the number I came to is close enough. It's not much better than that.
We didn't even factor in looks besides weight, personality or anything. The numbers really are this bad.