Male IT geeks tend to think they are “low status” males.

Why are male IT geeks less successful in attracting women than other males, on average? Why are there few women in IT?

Among male geeks, a popular explanation for both these phenomena is that women avoid “low status” males, because women are programmed by evolution to have sex with men in exchange for men’s material resources.

the average person in the United States with an IT career makes $0.13. the average American household makes $0.096.

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Gender difference in math ability variability driven by social inequality, not biology – study

Gender gap in maths driven by social factors, not biological differences (Not Exactly Rocket Science):

Since 1894, some scientists have suggested that men have a greater variability in intellectual ability than women, a simple statistical quirk that would result in more male prodigies. This was the controversial hypothesis that Lawrence Summers mentioned in his now-infamous speech at the National Bureau of Economic Research Conference in 2005:


To test that, Hyde looked at data from maths tests in Minnesota and compared the numbers of boys and girls who scored in the top 5% of their year. The ratio was 1.45, meaning that for every two girls in this elite group, there were around three boys. In the top 1%, the ratio was 2.06, meaning two boys for every girl. That seems to vindicate the Variability Hypothesis, but those figures only applied to white American children. In other ethnic groups or, indeed, in other countries, the picture was very different.

For Asian-Americans the ratio was actually 0.91, meaning more girls than boys in the top 1%. International studies have found similar trends. One analysis of tests from the Program for International Student Assessment (PISA) showed that 15-year-old girls matched or outnumbered their male peers in the top tiers within Iceland, Thailand and the UK. Two studies found that 15-year-old boys and girls were equally varied in their mathematical skills in most of the countries taking part in PISA and the Trends in International Mathematics and Science Study (TIMSS). In some, like the Netherlands, girls actually turned out to have the wider range of ability.

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