I agree with you. Just about the best 'proofs' I get in social-chaotic topics like this is by going to the extremes: - a "total" or "100%" data scientist resea

I agree with you. Just about the best 'proofs' I get in social-chaotic topics like this is by going to the extremes: - a "total" or "100%" data scientist researching ML might spend the better part of his days in an office, without a computer, just thinking on a whiteboard and paper. He then hands specs for tech people to translate, implement, run (code, systems, workflow). - "geek" means passionate (early 20th century word to describe "bookworms"), thus it may apply to anything — nowadays it's applied implicitly, without specifying further, to technology, "geek" means "tech geek". In that sense, whatever they do, geeks are never far from machines, gadgets, supercomputers (!?), some ethernet patch... Both actually have nothing to do with each other, and do not seem mutually exclusive to me; but in the extreme range of the spectrum, they clearly are totally different people with unrelated concerns and, most likely, jobs. But that's all fluff and you have to thank idling geeks for writing such blabla. (though I hear HR loves that kind of reports, profiling makes the world so easy, right? Hey, what do you know, someone somewhere might copy/paste these threads for a living as we speak).