You refer to Tunisia as "regressive." But Tunisia abolished slavery before the U.S. Abortion is legal in Tunisia. U.S. Congress is 19.6% women. Tunisian parliament is 31% female. Tunisia has many issues re gender equality, but to call it regressive is baseless.
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Visit it.
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I lived there for two years.
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Is it possible that this isn't due completely to innate differences in interests, but evidence that in even in countries with social safety nets men still feel cultural pressure to pursue high-paying STEM careers, while women enjoy more freedom of choice?
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It still seems like men are made to feel like they should be high-income earners, or take a low-skill labour job rather than accept any social assistance to stay at home caregiving, pursue a passion, or take an interest in a field not viewed as masculine.
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Fascinating, but I'd like to know what the study does of the fact that, for example, there is virtually no Humanities curricula in the Arab Gulf universities, where Higher Ed is, almost by definition, science and technology. If you're HEd inclined, it is going to be STEM HEd.
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I suppose India would make a good point of reference as we have a low social safety net for women, and have far greater spectrum of genuine high ed options. I suspect it will confirm the aforementioned study.
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This would mean, then (and not surprisingly) that the overall stats are indicative of something, but that they also have to be broken down to take into account regional differences (both cultural and structural differences, I would add).
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Definitely. Also, economics must have a part to play. Comfort allows for intellectual pursuit.
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I was just talking to a friend about this and we made the same point, that in countries such as Tunisia or Algeria, the women who are able to pursue their own career path certainly belong to the more affluent upper-middle class and above.
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Ditto in the sub continent. I think the talk for which Mr. Pinker got into some hot water touched on these very points :)
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This article provides a lot more insight into regional and cultural differences: https://www.inc.com/suzanne-lucas/if-you-want-more-women-in-tech-try-discriminating-against-them.html … There was an even better one. Still looking for it.
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Here it is (linked from the previous one) https://www.theatlantic.com/education/archive/2017/09/boys-are-not-defective/540204/ … I recommend reading all of it, because it presents multiple theories.
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According to studies on humans / other primates, most males interests are in 'things' and most females interests are with 'people', which also makes sense from an evolutionary perspective. That doesn't mean vice versa can't apply. There are obviously cultural factors at play too.
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I agree, magic ratios are not smart policy. I wrote about it in a piece that came out today that strikes some similar notes:https://qz.com/1218680/the-science-of-sex-differences-is-nothing-for-feminists-to-be-afraid-of/ …
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Simple: you can maximize technological progress or welfare/equality. But not both at the same time.
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What is it about inequality that promotes technological progress?
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Equality-through-policy is an artificial constraint that has no inherent benefits. So it's a cost. It makes everyone's life harder - especially since people are different with unique life goals, etc. Diversity reduces efficiency and quality control. (And "ideas" are overrated).
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What does equality-through-policy constrain? How do those hinder technological progress? If "ideas" are overrated, what drives technological progress?
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Policies are constraints by definition - that's how they work. Just like redistribution has a cost, so it's always a net loss at best. Anything that absorbs human time or attention is a MAJOR cost, especially in research. Technological progress is driven by PERSISTENCE & GRIT.
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Are social norms, conventions, and inertia costs? In research, are those current costs materialized in selection bias and confirmation bias in research?
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The most optimal system takes into account individual skill/experiences/habits/culture within unique local circumstances. Policies are inefficient by definition (they're either oversimplified models or too costly to develop until flawless). Teams should decide their own rules.
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