> -In many fields, the reviewers are not statisticians themselves This is a pervasive problem. I was asked to comment on a review paper on multiple testing cor

> -In many fields, the reviewers are not statisticians themselves This is a pervasive problem. I was asked to comment on a review paper on multiple testing corrections for a biology journal. The paper was so bad, so completely misunderstood the technical underpinnings of multiple testing corrections, that I sent the recommendation that it be rejected and that they not even try to do revisions. The authors were not competent to write such a paper. At the same time, they were probably considered the experts in their corner of the scientific world. > -There's a huge psychological barrier to actually call out one of your peers and affirm that they're an impostor and their work is bogus. I think it's less a psychological barrier than fear of retribution and there being no effect when someone does call them out. I always knew I could walk out the door of my university and get a software job making twice as much as my advisor, which rather messed up the power imbalance, and I pissed off a lot of people by speaking up. It had no effect. Lazlo Barabasi is still publishing his nonsense of about scale free networks. Kim Lewis is still churning out papers on toxin-antitoxin complexes in antibiotic persistence, when they are irrelevant to any case of persistence in nature. There are many more names to name, but I've largely forgotten them at this point. The only reason to remember them is to have good counterexamples of how to do science, and most of them are repetitive.