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Small-Scale Question Sunday for October 8, 2023

Do you have a dumb question that you're kind of embarrassed to ask in the main thread? Is there something you're just not sure about?

This is your opportunity to ask questions. No question too simple or too silly.

Culture war topics are accepted, and proposals for a better intro post are appreciated.

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I studied applied maths in biology/medicine and my year was literally 4 men and about 20 women. I already knew that it was much more gender balanced than pure/theoretic math but was still surprised, so I talked with some of them about why they chose to study this. The answer was fairly uniform: They had always been very good at math, but didn't particularly like it. Some originally wanted to study medicine, but were put off for some reason (and there's more than enough good reasons!). This allowed them to take advantage of something they're good at, while still ultimately working on a topic they like.

I'd wager data science is in a similar boat, albeit to a slightly lesser degree.

I think this is the most likely explanation. The most significant difference between men and women when it comes to careers is preferences, not abilities.