Women, see separate post.
-2 points
13 points
*
for no damn reason
Disaggregating data by gender has legit purposes. You do that to the data after the fact though. Setting up one survey for women and one for men pollutes the outcome.
You must suck at statistics. See? I can do it too! People who misuse statistics and data to shit on women also makes me angry.
3 points
7 points
Yes. At the time I’m commenting, 1 out of 2 questions on the “women’s” question is about the gendered nature of the question itself (50%). And 2 out of 11 on the “mens” (18%). The dataset has already been “polluted” as you describe, by the design of the questions.
1 point
