The paper titled "Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results" is currently the most cited 2019 article in the Quarterly Journal of Economics (372 Google cites).

It delivers bad news to economists running experiments: their p-values are wrong. To get correct p-values, the article explains, they need to run, instead of regressions, something called "randomization tests".

In this post I show that this conclusion only holds when relying on an unfortunate default setting in STATA: