Against normality testing

I reject the following null hypothesis: {H0: your data are normal}. Such drastic decision is motivated by theoretical reasons, and applies to your current data, the past ones, and the future ones. While this situation may appear embarrassing, it does not invalidate any of your results. Moreover, it allows to save time and energy that are currently spent in vain by performing the following unnecessary tasks: (i) carrying out normality tests; (ii) pretending to do something if normality is rejected; and (iii) arguing about normality with Referee #2.