We have "two people familiar with the matter" which is to say sources that Bloomberg thought were credible enough to lead a story with.

Who is "familiar with the matter"? NSA insiders? People who've read the Snowden docs?

I wonder if Bruce "probability is close to one that every target has had its private keys extracted by multiple intelligence agencies" Schneier is one of them.

Lucky for you, you won't have to look at it ever again.

There has been an enormous amount of work put into these questions. It is clear that there is some variation between genders in both physical and mental capability. However, it is ALSO clear that variation within genders far, far exceeds variation between genders. Like, it's not even close.

What small variation has been detected between genders is not adequate to explain the massive variation seen in gendered employment like nursing, secretaries, CEOs, programmers.

Millennia of treating women as property, the fact that e.g. women's suffrage was not widely implemented until the 20th century, the frequency with which traits seen as universal 'jump' genders, and similar indicators offer a promising avenue for an alternate explanation.

Could you refer us to the "work" results (studies) that conclude (mathematically) that the variation you refer to, are "not adequeate" to explain the variation in "gendered employment"? I'm particularly interested what traits were measured between the groups and how (the hell) did those traits have anything to do with programming.