Agreed. If anything, he was objecting to begging the question in the other direction. Most of the particulars are examples of nuances that (the author thinks) need to be studied instead of ignored.

> Except he didn't say that the differences we observe are 100% due to biology.

He did, if he didn't intend to he used the wrong language. He had a section called:

> Personality Differences

Where to his credit he did say: "on average" but then he failed to distinguish these differences as cultural or social. Rather he prefixed that part of the article with a section that stated:

> On average, men and women biologically differ in many ways. These differences aren’t just socially constructed....

I don't know how to read that otherwise. My understanding is that he IS saying that biologically women (on average) are less able to negotiate pay, prefer social work to STEM, etc. Now while those are perfectly fine things to consider stating them as fact is a bit of a leap. You have to prefix your work to make it less assertion and more speculation for people not to assume what I assumed.

You have to consider that Gizmodo has acknowledged having stripped the essay of several hyperlinks, probably lending support to his claims.

This comprehensive recap could be one of them : https://www.psychologytoday.com/blog/rabble-rouser/201707/wh...

Yes but that's still the soft science of sociology and the author of the OP should tread carefully before asserting this as literal fact. It remains a conclusion of incomplete results. Obviously better than complete speculation but still no stronger than the technology used by the culture this OP is rallying against.

It's arguably the culture that the OP is rallying against which relies on the "soft science of sociology" as a theoretical basis.

The OP's point on the other hand finds most of its supporting evidence in evolutionary psychology and biology.

He did mention that he is not denying diversity is important or that sexism exists. And the biological differences he mentioned are "POSSIBLE non-bias causes of the gender gap in tech".

His entire argument seems to be that we should stop denying biological differences exist too. And a non 50% representation is not conclusive proof of sexism in society.

How in the world did you determine that "on average differences" means 100% explanation? Full disclosure, I work in supply chain and statistics is part (maybe most) of what I do so maybe I'm being pedantic.