Dear HNers,
Gender bias is a touchy subject in these tech blogs and the responses to this (yet another) article are, predictably, dismissive. It was one person's fault, there's no widespread gender bias, the instructor should have things differently, someone has seen women be jerks too, etc.
So while there really does seem to be a measurable, observable difference in gender involvement in computing (e.g. in CS enrollments, in working in the industry, etc), these anecdotes always get tossed as not significant.
So what I'm wondering, and this is an open question to everyone here: would anything convince you, personally, that gender bias is real, or has a significant measurable effect, or is a problem? Would it take a certain kind of experiment? Some kind of data or analysis? (Or is the answer, "it's not a problem"?) Like, what sorts of articles would people _not_ jump on the bandwagon to tear to shreds?
best,
Gender bias is a touchy subject in these tech blogs and the responses to this (yet another) article are, predictably, dismissive. It was one person's fault, there's no widespread gender bias, the instructor should have things differently, someone has seen women be jerks too, etc.
So while there really does seem to be a measurable, observable difference in gender involvement in computing (e.g. in CS enrollments, in working in the industry, etc), these anecdotes always get tossed as not significant.
So what I'm wondering, and this is an open question to everyone here: would anything convince you, personally, that gender bias is real, or has a significant measurable effect, or is a problem? Would it take a certain kind of experiment? Some kind of data or analysis? (Or is the answer, "it's not a problem"?) Like, what sorts of articles would people _not_ jump on the bandwagon to tear to shreds?
best,