I've heard this before. Why do you think algorithm questions are effective for finding "good" hires? Are they?

The intent isn't to find good hires per se, but to whittle down the list of applicants to a manageable number in a way that doesn't invite discrimination lawsuits.

Same as why companies in the past used to reject anyone without a degree. But then everyone got a degree, leaving it to no longer be an effective filter, hence things like algorithm tests showing up to fill the void.

Once you've narrowed the list, then you can worry about figuring out who is "good" through giving the remaining individuals additional attention.

> Same as why companies in the past used to reject anyone without a degree.

They still do, and its a shame some of the smartest most capable developers I know have no degree.

They certainly don't filter out toxic people who make others leave companies because they poison the well.

I have a suspicion that "good candidate" is being gerrymandered. What might have been "good" in 1990 might have become irrelevant in 2000+ or perhaps detrimental. I say that as someone who is actually good at algorithm questions himself. I think GP, as well as other Google defenders, are parroting pseudo-science.

I agree. But also if it works to get you jobs there, why wouldn't you defend it? I mean I might be inclined to do so as well, it guarantees me a place even if I lack soft skills for the role.