 Multiple testing without correction is a form of p-hacking (Simmons, Nelson &amp; Simohnson 2011). “P-hacking” refers to a family of practices that increase the probability of obtaining a significant result by capitalizing on chance, such as dropping outliers, testing statistical models with and without covariates, and uncorrected multiple testing. While p-hacking might be surprisingly frequent in psychology (John, Loewenstein &amp; Prelec 2012), it appears rare in experimental philosophy (Stuart, Colaço &amp; Machery 2018). 