It's probably a good idea to remind (or inform) people that at least in scientific research, null hypothesis statistical testing and "statistical significance" in particular have come under fire [1,2]. From the American Statistical Association (ASA) in 2019 [2]:<p>"We conclude, based on our review of the articles in this special issue and the broader literature, that it is time to stop using the term “statistically significant” entirely. Nor should variants such as “significantly different,” “p < 0.05,” and “nonsignificant” survive, whether expressed in words, by asterisks in a table, or in some other way.<p>Regardless of whether it was ever useful, a declaration of “statistical significance” has today become meaningless."<p>[1] The ASA Statement on p-Values: Context, Process, and Purpose - <a href="https://www.tandfonline.com/doi/full/10.1080/00031305.2016.1154108" rel="nofollow">https://www.tandfonline.com/doi/full/10.1080/00031305.2016.1...</a><p>[2] Moving to a World Beyond “p < 0.05” - <a href="https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1583913" rel="nofollow">https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1...</a>