I started to write a similar reply, got distracted, and by the time I turned back I assumed someone would have written it (and you had!). There's a ton of bias

I started to write a similar reply, got distracted, and by the time I turned back I assumed someone would have written it (and you had!). There's a ton of biases in tech, and it's possible for that to result in complex situations like the ones we see. If you largely prefer hiring people from a small number of universities, and those universities are largely white, asian, and/or male - you're going to have a very non-diverse population even if you have a lot of immigrants. If you interview people in a particular way that is optimized for a specific style of education, people who did not experience that same education are going to be at a disadvantage. Similarly, if you primarily hire people in an area that is not particularly diverse, you're going to end up with a very non-diverse employee base. None of this is to say that everyone is a racist or that there's no way for a minority to be successful in big tech, it's just that the structural systems in place work against them. The odds are longer and the hurdles higher. If you look at some of the things that big tech companies are doing to address that - heavily recruiting at schools with large minority student bodies, helping to build curriculums to help those students perform well on interviews, and even opening offices in places where there is greater diversity - you're trying to remove some of those structural hurdles. I remembered this article from a long time ago that I was able to track down: https://www.bloomberg.com/features/2016-howard-university-coders/ https://www.bloomberg.com/features/2016-howard-university-co... It's got great details on how hard some of these challenges can be to address, and looking back on it, things have gotten better. But why is it such a problem to say that there's more to be done?