Google Manifesto: Does Biology Explain Gender Disparities in Tech?

An article under the above heading appeared in Live Science, in reply to the claims of James Damore of Google fame.  As one would expect from Left-dominated mainstream academe the answer given is broadly "No". 

What they trot out is all old chestnut stuff that basically aims at a straw man.  What psychometricians assert is only a TENDENCY.  There is no claim that men generally are good at tech and women not.  The research finding is that there is a big overlap in male and female abilities. Abilities differ only at the margins. So the various arguments put forward about exceptional female abilities are pointless. In various times and places you can find women who do math and tech well.  And the "No" article is mainly just a trotting out of such examples.

What is of interest is the GENERAL TENDENCY in mental abilities, not a parade of anecdotes about tribes in India etc. And the way to measure a general tendency is to apply a valid and reliable test of problem-solving ability to a representative population sample. And the finding from such studies is that at the top of the IQ range in Western populations, there are always many more men than women. And if we look at mathematical ability only, the gap is even larger. You can theorize yourself blue in the face about why that is so -- "patriarchy" and all the rest -- but there remains there a clear and firm difference in ability that you have to deal with.

It is perfectly reasonable that some populations somewhere have undergone selective pressures which make females better at the top of the range but that does not alter the reality in Western society.

So on the basis of measured facts rather than a lot of speculation, Damore was perfectly right.  You will always get a substantial number of women who are good at tech and mathemstics but they will be greatly outnumbered by men.

In the circumstances, it matters little if the differences are inborn nor not but the way such differences have consistently shown up for around a  hundred years certainly suggest something inborn -- or at least something very resistant to change.   And the various genetic studies -- now including DNA findings -- do show that most of IQ and its component abilities is genetically determined.

So Google's frenetic efforts to introduce "equality" into its workforce were pushing uphill from the beginning. Such efforts were doomed to failure.  Damore's greatest offence may have been to point that failure out. 

That despite great efforts Google could not equalize the number of its employees in stat/math applications would seem good confirmation of what the tests show.  Despite its great efforts to  swing the results in the way it wanted, Google ended up finding exactly what the IQ and other tests predicted.  A psychometrician would call Google's experiment good validation of the tests.  Google showed that the tests were right.