That response boils down to "abusing statistics is okay because other fields are doing it too". But the fact that other scientific fields are also abusing statistics does not make it okay, because it does not make the conclusions that result from statistical abuses true. The choice of which statistical test to use is not arbitrary, and using the wrong one is as bad as writing down the wrong value for a low-order digit; you can get away with it when the effect size is large, but not here.

(Paraphrased from my reply on that article's comments section)