Dad believed in a big bang theory when it came to stretching a dollar.
Posted on August 7, by Scott Alexander I. Grant says that gender differences are small and irrelevant to the current issue.
As a social scientist, I prefer to look at the evidence. The gold standard is a meta-analysis: When it comes to abilities, attitudes, and actions, sex differences are few and small. There are only a handful of areas with large sex differences: Suppose I wanted to convince you that men and women had physically identical bodies.
I run studies on things like number of arms, number of kidneys, size of the pancreas, caliber of the aorta, whether the brain is in the head or the chest, et cetera.
I conclude that men and women are mostly physically similar. I sure showed you, you sexist! And in fact, Hyde found that men were indeed definitely more aggressive, and women indeed definitely more sensitive. Perhaps some peeople might think that finding moderate-to-large-differences in mechanical abilities, computer skills, etc supports the idea that gender differences might play a role in gender balance in the tech industry.
Or possibly not, see here ]. The study very specifically says the opposite of this. Its three different numbers for physical aggression from three different studies are 0. On the other hand, Grant fails to report an effect that actually is large: So Grant tries to argue against large thing-oriented vs.
Next, Grant claims that there are no sex differences in mathematical ability, and also that the sex differences in mathematical ability are culturally determined.
Grant says that these foreign differences in math ability exist but are due to stereotypes, and so are less noticeable in more progressive, gender-equitable nations: Girls do as well as boys—or slightly better—in math in elementary, but boys have an edge by high school.
Male advantages are more likely to exist in countries that lack gender equity in school enrollment, women in research jobs, and women in parliament—and that have stereotypes associating science with males.
But I want to go back to the original question: Is this also due to stereotypes and the effect of an insufficiently gender-equitable society? Galpin investigated the percent of women in computer classes all around the world. The most sexist countries do extremely well on this metric!
The highest numbers on the chart are all from non-Western, non-First-World countries that do middling-to-poor on the Gender Development Index: Needless to say, Zimbabwe is not exactly famous for its deep commitment to gender equality. Previous research suggested that sex differences in personality traits are larger in prosperous, healthy, and egalitarian cultures in which women have more opportunities equal with those of men.
The countries with the lowest sex differences are Indonesia, Fiji, and the Congo. I conclude that whatever gender-equality-stereotype-related differences Grant has found in the nonexistent math ability difference between men and women, they are more than swamped by the large opposite effects in gender differences in personality.
We know that interests are highly malleable. Female students become significantly more interested in science careers after having a teacher who discusses the problem of underrepresentation. In exchange, they get constant glowing praise from every newspaper in the country 12345678910etc, etc, etc.
The graph that Grant himself cites just above this statement shows that, over the same ten year period, percent women CS graduates has declined nationwide.
Do you think no one else has tried? Some further discussion by Mudd students in the comments here ] IV. The data on occupational interests do reveal strong male preferences for working with things and strong female preferences for working with people.
But they also reveal that men and women are equally interested in working with data. So why are there so many more male than female engineers? Because women have systematically been discouraged from working with computers.
Look at trends in college majors: Before we discuss this, a quick step back. In the yearwomen were locked out of almost every major field, with a few exceptions like nursing and teaching.
The average man of the day would have been equally confident that women were unfit for law, unfit for medicine, unfit for mathematics, unfit for linguistics, unfit for engineering, unfit for journalism, unfit for psychology, and unfit for biology.Move your writing into high gear in Check Out Jumpstart Your Publishing Dreamsl.
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