Statistical significance is difficult to ensure. Certainly, one should be suspicious if 0.05 is ever used as a significance threshold, because it's unlikely tha

Statistical significance is difficult to ensure. Certainly, one should be suspicious if 0.05 is ever used as a significance threshold, because it's unlikely that exactly one hypothesis under one regime was tested in any given paper. I am glad that the article's headline is clear that it's time to stop misusing P-values. Tests for statistical significance should still be used, and to abandon them would be foolish. In a sense, though, they are the beginning, not the end, of assessment.