Statistican used to be kinda insane wizard figures in a lot of hospitals. Because thinking hard about statistics literally requires you to think really hard abo

Statistican used to be kinda insane wizard figures in a lot of hospitals. Because thinking hard about statistics literally requires you to think really hard about unknowns and simplifying/modeling the entire world using equations. But a lot of that sense of the herculean task has been lost in the modern "data science", where neural nets are basically treated as a panacea, there are no measurement errors, and all problems are perfectly predicted. If a statistican from the 50s walked into a modern start up office, they'd laugh at the lack of validation and testing and not be at all shocked when none of the predictions worked