 Null Hypothesis Significance Testing (NHST)—discussed above—is a commonly diagnosed cause of the current replication crisis (see Szucs &amp; Ioannidis 2017). The ubiquitous nature of NHST in life and behavioural sciences is well documented, most recently by Cristea and Ioannidis (2018). This is important pre-condition for establishing its role as a cause, since it could not be a cause if its actual use was rare. The dichotomous nature of NHST facilitates publication bias (Meehl 1967, 1978). For example, the language of accept and reject in hypothesis testing maps conveniently on to acceptance and rejection of manuscripts, a fact that led Rosnow and Rosenthal (1989) to decry that “surely God loves the .06 nearly as much as the .05” (1989: 1277). Techniques that failed to enshrine a dichotomous threshold would be harder to employ in service of publication bias. For example, a case has been made that estimation using effect sizes and confidence intervals (introduced above) would be less prone to being used in service of publication bias (Cumming 2012, Cumming and Calin-Jageman 2017.