I wonder if the algorithm centric interview style at Google can really achieve that. From my experience, algorithm centric questions + plus white board coding have bias towards academic people. (Maybe that’s fine for google) However, the way to crack that kind of interview is really just practice like hell on leetcode. Just take a minute and think, who are most motivated in doing that? Good, experienced engineers have no trouble finding jobs in Bay Area, and why would they waste their time on leetcode for skills that are mostly going to be useless in real work? New grads and engineers that have trouble finding jobs are most likely to spend hell of their time on leetcode. I think the interview style at Google is in fact increasing false positives instead of suppressing it. It also has high false negative for sure.
There are tons of other ways of doing interviews, in which interviewer gets a lot more and very relevant signals from candidates while keeping candidates pressure low, and not wasting their time, but Google is not doing it, like asking practical questions, letting candidates write and test their code in their own computers, has a debug session, etc.