If you are doing a peer review of somebody's paper before publication, the editor would not allow you to speculate about the person's motives, about their place in the hierarchy. It's not scientifically relevant.

In these unfiltered, un-moderated social media posts people are speculating about others' motivations. And you could no more put that in a peer review for a journal than you could fly.

If people are going to do post-publication peer review, they need to abide by the same rules as they abide by for pre-publication peer review: not being ad hominem, being respectful, giving the author a chance to respond in a reasonable way.

Some people have set up sort of "gotcha" algorithms that apparently crawl through psychology articles and look for fraudulent p-values [a measure of the likelihood that experimental results weren't a fluke]. But they're including rounding errors that don't change the significance levels of the results, and they're doing it anonymously.

If you have an effect that nobody can replicate, then your phenomenon fades away. So if you want to to have a legacy, then you jolly well better have an effect that replicates.

If you are doing a peer review of somebody's paper before publication, the editor would not allow you to speculate about the person's motives, about their place in the hierarchy. It's not scientifically relevant.

Promoting open and critical and respectful scientific discourse seems like a pretty good goal to me.