> they are optimizing for the people willing to push themselves that far to learn something They are optimizing for people in one of two groups. One is people

> they are optimizing for the people willing to push themselves that far to learn something They are optimizing for people in one of two groups. One is people freshly out of college who still have that stuff at the top of their mind. The other is people who have the free time/energy to bring it back to the top of their mind instead of needing a few extra minutes to go back that far in their memories. Pick your privilege, in other words. > all new hires at least know the effects of space/time complexity and how to make space/time trade-offs deeply well In my experience, this advantage fades within their first evaluation cycle. And what they certainly don't seem to learn is when to do these kinds of evaluations. Oh, the number of times that I saw one of my coworkers hyper-optimize some part of a system where both N and K were too tiny to matter, then just cargo-cult a crappy higher-level algorithm where such analysis really would have moved the needle. BTW, since I know someone will launch a "sour grapes" personal attack (and get a free pass for doing so because I'm on someone's target list) if I don't address it, I passed such interviews at 52 with zero preparation and zero trouble. So no, I don't take it personally. I just recognize this approach's flaws. It's why I refused to do interviews at that company, taking a hit for that every half until I left. Some of us stick to what's right instead of rationalizing what's wrong.