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A lot of articles on gender get the same flagging treatment. (FWIW Damore is far from uncontroversial here on HN.) I suspect sometimes the flagging treatment is
by erentz 8y ago
A lot of articles on gender get the same flagging treatment. (FWIW Damore is far from uncontroversial here on HN.) I suspect sometimes the flagging treatment is because these articles can attract heated (often emotional) debate, and this might be why some flaggers flag them, to avoid that and just stick to tech stuff.
That said I’m always interested in seeing these articles and debates myself, mostly because it’s a pretty important issue in tech and we won’t resolve it if we don’t talk about it. But it’s hard to do.
This post may have survived this long just by luck, I wouldn’t read to much into it.
But you can certainly talk about it here now since this article is in response to your article. (One question I might’ve asked about your original would be, if male and female brains are really the same then how come rates of certain mental illnesses vary so much between the sexes?)
Edit: I realized I originally wrote “far from contoversial” it should be “uncontoversial” but I think that was understandabld from the context.
- drilldrive 8y ago>FWIW Damore is far from controversial here on HN. Just to be clear, in what way? Anti-Google pro-Damore I presume?
- erentz 8y agoFrom what I’ve seen (so it’s anecdotal) they seemed to attract emotional debate, and lots of downvotes, and flags, and people making throwaways before commenting, etc. In that way controversial. To my mind when you see lots of downvoted comments it’s a pretty good sign of a controversial topic because I never usually see that on purely tech topics ok HN. From which I infer on tech topics a bad comment doesn’t get upvoted and sinks because good comments rise. On non tech topics like gender comments (bad or good) can quickly be grayed out by downvotes. I suppose it might be an interesting hypothesis to test somehow if historical HN posts could be classified into topic and we had the voting and flagging data.