20% of men get 80% of women?

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OKcupid/tinder stats are not a personal observation.

The cat user's argument against this that those who register in those apps are not representative of the young human population - but I am seeing everyone are using such apps, at least the young the people.

^^ However, dating sites' stats (the reliable dating apps/sites) can be more statically correct than these psychologist studies, why? Data of those are much larger, it doesn't reflect a sample on one point of time (vs time when data collected by a questionnaire)- but they reflect cumulative data on users who have been members there.

The okcupid stats study *does* reflect somehow that 20/80 thing in women: http://blog.okcupid.com/index.php/your- ... ine-dating.

The 14% thing on tinder reflects maybe millions of female users.

The cat user's argument against this that those who register in those apps are not representative of the young human population - but I am seeing everyone are using such apps, at least the young the people.

Site-wide, two-thirds of male messages go to the best-looking third of women. So basically, guys are fighting each other 2-for-1 for the absolute best-rated females, while plenty of potentially charming, even cute, girls go unwritten.

As you can see from the gray line, women rate an incredible 80% of guys as worse-looking than medium. Very harsh. On the other hand, when it comes to actual messaging, women shift their expectations only just slightly ahead of the curve, which is a healthier pattern than guys’ pursuing the all-but-unattainable. But with the basic ratings so out-of-whack, the two curves together suggest some strange possibilities for the female thought process, the most salient of which is that the average-looking woman has convinced herself that the vast majority of males aren’t good enough for her, but she then goes right out and messages them anyway.

The main flaw in the argument is that most people using dating apps and online dating are NTs, and the main group of interest here are neurodiverse people. If he can show a huge majority of NDs are using Tinder and online dating in a similar way as the NT majority, then the argument would be relevant.

^kissAsspie.

Dr. Wilder’s response to the comments by disbelieving Lab readers:

I’ve run into all sorts of problems when explaining our finding that the breeding sex ratio is skewed in favor of women. (The most common response: “More women have children than men? Duh, of course.”) I’ll explain very briefly the methodology of our study and how we interpret the results.

In a nutshell, we examined the amount of genetic variability on the Y chromosome (which is inherited by males solely from fathers) and mitochondrial DNA (inherited in both sexes solely from the mother). According to population genetic theory, the amount of variation observed among any set of chromosomes surveyed in a population is proportional to two factors, the rate of mutation and the size of the population (in terms of numbers of reproducing individuals). If we factor out differences in the rate of mutation, then any leftover difference in the amount of variation between two samples of chromosomes should be due to differences in the sizes of the populations from which they are sampled. Applying this method, we were able to estimate the relative size of the female and male human populations (from mitochondrial and Y chromosome variation, respectively). We found that the breeding sex ratio is about two females per male.

On average (and over evolutionary time), any given human female has been more likely to reproduce than any given male. Said another way, males have had a higher variance in reproductive success than females. As a consequence, more different females have contributed to the modern gene pool than males. Rather spectacular examples of this phenomenon have been inferred from historical times using genetic data. Asian conquerors (such as Genghis Khan and Giocangga) and their male relatives appear to have made a vastly disproportionate contribution to modern Asian populations. Niall of the Nine Hostages seems to have had a similar effect on the gene pool of the British Isles. These types of events, where one person (or set of related individuals) experiences tremendous reproductive success, can have an effect on the gene pool that lasts for many generations. On the other side of the equation, we have to infer that there are many more males than females who do not successfully reproduce at all.