Until this concern is taken seriously, I don't see why it should not be repeated. So far I only see it reflexively dismissed as "oh this, yet again". While the silent assumption is that only certain people and certain biases are discussed and "we are all biased" actually means only certain set of data is taken into account, and other data is dismissed as irrelevant. It's not about focus, it's about basic inclusion.
I remember hearing a lot about sexism in disciplines which are 80+% male in this list. But I pretty much never hear about sexism in disciplines that are 80+% female.
Now, I don't make any claims here about existence or non-existence of sexism one way or another just basing on the percentage data. Maybe there is sexism in one place, maybe there is not in another, even though percentages looks the same. That's not my point here. What I am questioning is that seeing 80% on one side is universally taken alone as supporting the claim of sexism, if not proving it completely, but the same study showing the same bias to the other side is not considered the base to the same claim. I think this is related to the content of the article.
Data about gender/discipline compositions in academic disciplines: http://www.aei-ideas.org/2013/01/college-class-of-2011-by-ac...
I remember hearing a lot about sexism in disciplines which are 80+% male in this list. But I pretty much never hear about sexism in disciplines that are 80+% female.
Now, I don't make any claims here about existence or non-existence of sexism one way or another just basing on the percentage data. Maybe there is sexism in one place, maybe there is not in another, even though percentages looks the same. That's not my point here. What I am questioning is that seeing 80% on one side is universally taken alone as supporting the claim of sexism, if not proving it completely, but the same study showing the same bias to the other side is not considered the base to the same claim. I think this is related to the content of the article.