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There's a fallacy at work here that is difficult to point out without being accused of bias, but I'll try anyway. It's that in order for a profession to be cons
by imgabe 14y ago
There's a fallacy at work here that is difficult to point out without being accused of bias, but I'll try anyway. It's that in order for a profession to be considered completely fair with regard to race and gender issues, the makeup of people in that profession must exactly reflect the proportion of people in the general population.
I would argue that this is a sufficient condition, but not a necessary one. Yes, for example, if it did happen to be the case that 50% of programmers were women and 50% of the general population were women, you could say there was no gender bias. But, I don't think that forcing a 50% ratio of women is the right way to go about eliminating the gender bias in the programming profession. It's also possible that there could be no bias, but the proportions would still not be equivalent to those in the general population for other, unrelated, reasons.
I'm not trying to pretend that such biases don't exist. I know they do. It's important that we go about eliminating them. It's also important that we do so by eliminating their causes, not by trying to artificially create scenarios that are coincident with a solution.
It's like, a symptom of the measles is having red dots all over your skin, and the proposed solution here is to cover them up with makeup.
- wonderzombie 14y agoIt's that in order for a profession to be considered completely fair with regard to race and gender issues, the makeup of people in that profession must exactly reflect the proportion of people in the general population. Hmm. No, I don't think that's quite it. I don't think anybody has any illusions about actually achieving that in the near-term, nor anything so simplistic as pass/fail. It'll probably be asymptotic. And, with respect, what you're talking about is so far from reality — like discussing what we'll do with all that extra food when we've solved world hunger — that it's a bit premature (or optimistic, depending on how cynical you are) to discuss exit conditions. Maybe once we're pretty well convinced that racism/sexism doesn't play a dominant role in this, we'll be able to study cultural or socioeconomic factors which influence people's choice of career. But any measurement you try to make now about how or why is going to be dominated by existing bias.