I think it's pretty easy for this discussion to become about personalities and not methodologies. Gelman is pretty brash and speaks his mind, so he could be correct on methodology and have that get lost in the noise.
So I'll give my opinion as a datascientist: null hypothesis significance testing is broken, the whole thing needs to get chucked. It's not fixable, and it's not only p-hacking that's the problem. Go read Frank Harrell, I like his writings on the topic more than Gelman's.
So I'll give my opinion as a datascientist: null hypothesis significance testing is broken, the whole thing needs to get chucked. It's not fixable, and it's not only p-hacking that's the problem. Go read Frank Harrell, I like his writings on the topic more than Gelman's.