Sorry I don’t quite understand. Human sex is bimodal continuous, right?

When I search, what comes up as an example is the distribution of customers at a diner open from 10am to 10pm. Most customers arrive around lunch time or dinner time, but a few folks arrive at 2:30.

Most people have pretty standard male or female biology, and most socially identify as male or female. But there are a subset who don’t.

That’s not an absolute rule - but it’s distribution around two common points.

I’m not up to date on statistics, but “continuous bimodal distribution” seems like an accurate description.

Edit:

> This bimodal distribution would still be continuous, as it would be defined by a mathematical function, rather than being a collection of discrete data points.

Ok so then human sex isn’t continuous- just bimodal.