(via Gender bias in math « mathbabe — the size of the effect trumps the existence of the effect)
(via Gender bias in math « mathbabe — the size of the effect trumps the existence of the effect)
An interesting and simple way to sort out your hypotheses: bring them into two conceptual poles, such as the escalator and anchor metaphores here. I use privileges and penalizers as metaphors for common individual-level questions.
By Jordan Ellenberg at Slate Magazine in 2007. See also that more recent discussion of casual sex and gender differences (shorter: there are no differences).
The author cites this joke to differentiate between mean and median: 10 statisticians in a bar. Ted Turner walks in. The statisticians start to whoop and holler. “What’s going on?” asks Turner. One statistician explains, “On average, we just got a whole lot richer!” (I use the same joke with average student income and Mark Zuckerberg entering the group.)
Peter Cohen (Family Inequality) redraws the evidence by Randall Munroe (xkcd) that “naming and choosing colors has a subjective component” by gender: “Doing color with babies.” The half-related-other-survey pie charts only half-deliver in my opinion, but the other graphs perform well in showing the perceptual gaps. Do not miss the xkcd survey results, as they contain an additional funny take on the issue.
By Madeleine Bunting, over at The Guardian. Can you answer the question: “What percentage of the people who live in extreme poverty are women?” (Answer here.) Another serious issue to do with gender inequality is the fact that men are left out of fertility planning efforts in Africa.