When studying data science we had a major assignment that involved stock predictions. I came out on top of the class because I told my model to only bet when it was >90% sure of the outcome, discarding the result otherwise. The rest of the class didn't even think of that, and lost despite many of them have much better models than me when all the results were considered.

They were too focused on the technicalities of the problem too see the big picture, n issue I see a lot in data science students who often struggle to grapple with the problem they're supposed to be solving.