A long time ago, I ran into the books The Art of Deception and How to Lie With Statistics. They seemed like a good start on training people to spot deceptions.

A long time ago, I ran into the books The Art of Deception and How to Lie With Statistics. They seemed like a good start on training people to spot deceptions. There were articles here on things like p-hacking. Then, the replication crisis. While no time now, I’m still interested in making a list of resources (esp free) that tells how to construct good studies, has comprehensive presentation of all categories of mistakes/lies we see in them, examples of each, and practice studies with known errors. Anyone here got good books or URL’s that could go in a resource like that? That could train new reviewers quickly? If I return to AI or ever work in it, I also planned to teach all of that to AI models to automatically review scientific papers. Might contribute to solving the replication crisis. Anyone who’s doing AI now feel free to jump on that. Get a startup or Ph.D. with a tool that tells us which of the rest are fake.