|
In my mind, I see it as a scale from 1 to 100, uber-feminine to uber-masculine. 99% of women fall within the 1 to 75 range, while 99% of men fall within the 25 to 100 range. The 1% of each who are outside their birth range are most likely to identify as transgender. That leaves 2/3 of men and 2/3 of women in the "overlap" range, between 25 and 75.
Statistically, the loading at each end is significant: women on average can accurately be expected to skew towards the uber-feminine end, and men on average can accurately be expected to skew towards the uber-masculine side. Generalizations are indeed helpful when trying to make predictions, at least in the absence of any additional information. But the odds are not so great that I'd ever put money on an individual woman being to the left of an individual male. 50 women versus 50 men, yes. But not one on one.
|