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If you cannot guess what the numbers should be then how would you know the problem is fixed? Or even if there is any problem at all?
by zarkov99 7y ago
If you cannot guess what the numbers should be then how would you know the problem is fixed? Or even if there is any problem at all?
- foldr 7y agoFirst of all, note that this argument works both ways. You also can’t put exact numbers on how many women we’d expect there to be in the industry in the absence of any sexism whatever. So how do you know that there’s no problem? But actually, the question is quite easy to answer for me. I am more interested in sexism per se than in the gender distribution. When women in the industry infrequently report that they are experiencing sexism, then I’ll consider that we’re well on the way to solving the problem. The current gender imbalance is a symptom of the problem, not the problem itself.
- satokema 7y ago> When women in the industry infrequently report that they are experiencing sexism, then I’ll consider that we’re well on the way to solving the problem. This is the fox guarding the henhouse. There is no incentive for women to ever stop crying "sexism!" if this is the criterion in use.
- foldr 7y agoI think you're being overly literal, not to mention suspicious. I'm not suggesting that we turn off our critical faculties and reflexively believe everything that we hear. At the moment, we'd have to reflexively disbelieve everything women tell us to conclude that there's no sexism problem in tech.
- deleted 7y ago[deleted]