Good statistical practice is an integral part of modern science. Null hypothesis significance testing (NHST) is the most widely used statistical method. Nevertheless, misuse and misinterpretation of NHST are widespread, and severe criticisms have been levelled against NHST. In this study, I revisit the primary documents of Fisher, Neyman, and E. Pearson relating to statistical testing. I compare Fisher’s significance testing with Neyman-Pearson hypothesis testing and clarify their thoughts on statistical testing. I hope this study will guide researchers in stopping and thinking about p-value statistics before abandoning it.