This assumes that talent and hiring is considered as a thresholded binary model, where you are either "good enough" or "not good enough" to work for the company, and the difference between two people who are "good enough" isn't important.

Of course, because of cultural and historical prejudices and biases, the pool of candidates that even apply to google is biased towards white males. Everything possible should be done to attract applications or seek out potential candidates from minority populations. But without suggesting any biological differences, it is still likely that because of cultural and historical prejudice, the distribution of talent among candidates will be skewed toward white males. Again, not because of any biological difference, but because they are more likely to have been encouraged or gone to rich universities or had parents who were engineers.

If we have a pool of 100 people and we want to hire the best five, then the bar is set by ranking the people by talent and qualification. If we want to hire everyone who is qualified, then wherever we set the bar, it is still likely that the population above the bar is skewed. So if we want to achieve a rebalancing or quota of employees from a certain sub-population, then it certainly does involve lowering the bar. We can argue over whether that is a good thing to want, or a fair thing, but I don't think you can logically argue that the bar isn't being lowered if you want to achieve a quota for a certain subpopulation. If you are suggesting that the population above the bar is not skewed, then you are suggesting that the terrible cultural stereotypes, biases and prejudices against women and minorities in technical fields has had no effect on their ability to achieve talent and qualification above the level of the bar, which I find implausible.