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Comment by zimpenfish | Hacker News Reader

I would definitely agree that A was to the left of B. I would also concede that B is to the right of A. But since the only label on the graph is an unidentified "Trait", I couldn't really comment any further.

What point are you trying to make?

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The point he's making is that, on that graph, it is clear that many women are better at software engineering than many men. The women closer to the tip of their graph will easily beat men at the tail of theirs. Women can be very competent software engineers. That is clear to all (Sandy Metz is a great example).

But if, in general women prefer different roles, is that unimportant to you?

Why does it matter which trait this describes? Surely this demonstrates that averages don't matter for how a trait is expressed in individuals, no matter how it's distributed in different groups?

That the value on the y axis, for those two points taken from presented distributions, is the fucking same...

It's hard to make that point even more obvious.

What? It's a normal distribution graph. The height of the curve denotes how many of a particular group (group is denoted by the blue and green curves) score with regard to some trait x. The y-values for A and B on the graph are irrelevant.

You are right, of course. A dumb mistake of mine.

It's pretty clear from the totality of this person's comments that they are here to obfuscate and troll. Not sure why this is allowed on HN.

Would you care to revise your statement given https://news.ycombinator.com/item?id=14981300 ?

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