> 'Hiring practices which can effectively lower the bar for “diversity” candidates by decreasing the false negative rate'
Imagine you have 100 people applying for 10 positions, and the demographic breakdown of applicants (based on current trends in tech) is 20 women and 80 men.
Let's also say that being male or female doesn't give you any special aptitude, and that the aptitude of all candidates regardless of gender follows a normal distribution along a bell-curve.
Because of that and because of Google's standards, let's say that only 25% of all candidates have the skills and qualifications necessary to work at Google, which breaks down to 5 women and 20 men.
Once again assuming a normal distribution with neither men nor women over or underrepresented in skill level, then without any sort of correcting for diversity, candidates would need to be in the top 10% of all candidates to receive a job offer (10 / 100). , this is 2 women and 8 men, leaving us with a false negative rate (i.e. people skilled enough to work at Google but who get declined) of 3 women and 12 men.
But with an eye for diversity, Google decides to hire all the qualified women (5), with the remaining positions taken by men, so 5 and 5, a 50/50 split.
Each of the candidates is qualified and capable of working for Google, but the false negative rate for women has been reduced from 3 to 0. This is what he meant by an effectively lowered bar by decreasing the false negative rate. The women now only need to be in the top 25% of all women candidates, whereas the men need to be in the top 6.25% of male candidates.
There's nothing false or wrong about that statement, it's just maths that happens as a result of the diverse hiring practices skewing the distribution of candidates, with the bar being 'effectively' lowered for the diverse candidates from top 10% to top 25%.
This has the unfortunate side effect that over time, if you are taking the top 6.25% from the non-diverse group (men in this case), but the top 25% from the other group then the non-diverse group will eventually have on average more high-performers (which affects things like salaries, promotions and more).
It's not to say that men are better, just that the hiring practices have been structured to select men from a higher performing percentage of the population. You would get the same results in favor of women if you were only selecting the top 6.25% of women vs the top 25% of men.