What I find interesting about all this is how many people take personal offense from statistics. (and conclusions drawn from statistics) The author seems to put an effort into explaining statistical distribution and what it means and what not. He's explicit that statistical observations can't be used to judge particular individuals. Draws a graph of overlapping distributions to drive the point home even more. I'm not…
Also interesting is that it's one of the things social justice activists constantly criticize others for. I can't count how many times I've heard the following: "when we say men are privileged, we don't mean any and all men are privileged to the same extent." Or "when we say white people are racist, we're not talking about every single individual white person." And it makes sense. Yet when it comes time for someone t…
"Mansplaining" is the clearest example of this. Supposedly it's only used to describe a man condescendingly explaining something a woman already knows, but in practice it's used to belittle and condescend any man criticizing a woman or women as a group. i.e. "Google employees are furious following the internal distribution of a memo mansplaining away low diversity in tech"
The only constant is the preconceived notion that they always know who the victims are ahead of time. The reasoning is then reverse engineered to suit the situation.
A man is talking based on feelings and anecdote? He's ignorant and pathetic, and probably needs to get laid. A man is citing scientific studies and making a cohesive argument? He's a mansplaining dudebro here to dogwhistle sexism and racism. If it's woman though, she's respectively sharing her lived experience and fighting the endemic patriarchy by being forced to work twice as hard as any man.