From Compact:
A much more important tipping point is when law schools became majority female, which occurred in 2016, or when law firm associates became majority female, which occurred in 2023. When Sandra Day O’Connor was appointed to the high court, only 5 percent of judges were female. Today women are 33 percent of the judges in America and 63 percent of the judges appointed by President Joe Biden.
The same trajectory can be seen in many professions: a pioneering generation of women in the 1960s and ’70s; increasing female representation through the 1980s and ’90s; and gender parity finally arriving, at least in the younger cohorts, in the 2010s or 2020s. In 1974, only 10 percent of New York Times reporters were female. The New York Times staff became majority female in 2018 and today the female share is 55 percent.
Medical schools became majority female in 2019. Women became a majority of the college-educated workforce nationwide in 2019. Women became a majority of college instructors in 2023. Women are not yet a majority of the managers in America but they might be soon, as they are now 46 percent. So the timing fits. Wokeness arose around the same time that many important institutions tipped demographically from majority male to majority female.
The substance fits, too. Everything you think of as wokeness involves prioritizing the feminine over the masculine: empathy over rationality, safety over risk, cohesion over competition. Other writers who have proposed their own versions of the Great Feminization thesis, such as Noah Carl or Bo Winegard and Cory Clark, who looked at feminization’s effects on academia, offer survey data showing sex differences in political values. One survey, for example, found that 71 percent of men said protecting free speech was more important than preserving a cohesive society, and 59 percent of women said the opposite.
The most relevant differences are not about individuals but about groups. In my experience, individuals are unique and you come across outliers who defy stereotypes every day, but groups of men and women display consistent differences. Which makes sense, if you think about it statistically. A random woman might be taller than a random man, but a group of ten random women is very unlikely to have an average height greater than that of a group of ten men. The larger the group of people, the more likely it is to conform to statistical averages. (Read more.)


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