LOL, 62%? that seems low ...

I would say the overwhelming majority of even university faculty members lack a basic understanding of statistics.

In their heads, they’re doing something closer to informal Bayesian reasoning: they have prior beliefs based past observation, previous research, experience, etc., wich is then all baked into every choice and decision

But when it comes time to write the paper, they translate that into frequentist statistics: p-values. As if all should be compared to random chance: significance thresholds, confidence intervals.

They do this to give their conclusions formal credibility: oh look how compelling my result is, I found all this new surprising stuff.

Close to 100% of life sciences research works that way.