There's no brain news this month, but i take this unique opportunity to provide the first of my three part critique of - some parts of - the Open Science movement. This episode focusses on p-circling & reverse p-hacking. These two pejorative terms describe situations where scientists who *don't like* a particular reported effect, then decide to search for things in the paper which can 'un-explain' it. The reverse p-hacker turns a significant effect into a non-significant, or un-interesting one. These reverse p-hackers selectively adjust their version of data analysis (or interpretation) to *remove* significant p-values.

it's the same thing as p-hacking. but backwards. & equally wrong.