 In 2017, a group of 72 authors proposed in a Nature Human Behaviour paper that alpha level in statistical significance testing be lowered to 0.005 (as opposed to the current standard of 0.05) to improve the reproducibility rate of published research (Benjamin et al. 2018). A reply from a different set of 88 authors was published in the same journal, arguing against this proposal and stating instead that researchers should justify their alpha level based on context (Lakens et al. 2018). Several other replies have followed, including a call from Andrew Gelman and colleagues to abandon statistical significance altogether (McShane et al. 2018,  Other Internet Resources). The exchange has become known on social media as the Alpha Wars (e.g., in the Barely Significant blog,  Other Internet Resources)).  Independently, the American Statistical Association released a statement on the use of p values for the first time in its history, cautioning against their overinterpretation and pointing out the limits of the information they offer about replication (Wasserman &amp; Lazar 2016) and devoted their association’s 2017 annual convention to the theme “Scientific Method for the 21st Century: A World Beyond \(p &lt;0.05\)” (see  Other Internet Resources).  