Conversely, it is the programming language of choice for people who don't assume that their expertise on one domain (data science) translates into expertise in the whole of human knowledge (as we often see among techbros generally and here specifically).

As a working data scientist, I know I am not a computer scientist or a 10x engineer (hell, I am probably a 0.8x engineer), but that's not where my expertise is. My engineer co-workers are 0.01x data scientists, but you won't see me complaining that they don't know the Central Limit Theorem or how to build a causal inference engine.

Your comment reminds me of a techbro blog I came across a few years ago. He was an influential "data scientist" on Twitter with CS rather than stats/econometrics background. In this post, he literatlly used linear regression on a categorical dependent variable. He just relabeled the categories 1, 2, 3, etc. Worse, when people pointed out the problem to him, he couldn't understand what was wrong about it and started pushing back.

It's been a while so I don't remember any details. I don't go on Twitter/X as much as I used to in those days.