Comments on “p-Hacking (Flexibility of Analysis)” — “Ten common statistical mistakes…” #7

This week’s commentary on Makin and Orban de Xivry’s Common Statistical Mistakes covers #7: Flexibility of Analysis: p-Hacking. (Previous posts: #1-2, #3 , #4, #5, #6.) I feel like this has been discussed ad nauseum,* yet the problem still exists. The issue is that flexibility in how one analyzes data, even seemingly innocuous flexibility, can … Continue reading Comments on “p-Hacking (Flexibility of Analysis)” — “Ten common statistical mistakes…” #7

On the replication crisis in science and the twigs in my backyard

A long post, in which you’ll have to slog or scroll through several paragraphs to get to the real question: can we navigate using fallen sticks? These days we seem to be inundated with deeply flawed scientific papers, often featuring shaky conclusions boldly drawn from noisy data, results that can’t be replicated, or both. I … Continue reading On the replication crisis in science and the twigs in my backyard