Maybe in academia, where sketchy incentives rule. In industry, p-hacking is great till you’re eventually caught for doing nonsense that isn’t driving real impact (still, the lead time is enough to mint money).
Very doubtful. There are plenty of drugs that get approved and are of questionable value. Plenty of procedures that turn out to be not useful. The incentives in industry are even worse because everything depends on lying with data if you can do it.
Indeed. Even worse some entire academic fields are built on pillars of lies. I was married to a researcher in one of them. Anything that compromises the existence of the field just gets written off. The end game is this fed into life changing healthcare decisions so one should never assume academia is harmless. This was utterly painful watching it from the perspective of a mathematician.
I assume by "in industry" they meant in jobs where you are doing data analysis to support decisions that your employer is making. This would be any typical "data scientist" job nowadays. There the consequences of BSing are felt by the entity that pays you, and will eventually come back around to you.
The incentives in medicine are more similar to those in academia, where your job is to cook up data that convinces someone else of your results, with highly imbalanced incentives that reward fraud.
Yes, precisely this! I’ve seen more than a few people fired for generating BS analyses that didn’t help their employer, especially in tech where scrutiny is immense when things start to fail.
