  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.
