The Importance of Null Hypothesis Significance Testing

There are techniques and methods that have existed in other fields for a long time. They've just been introduced to other disciplines like equivalence testing, where we can kind of set a bound for what we would accept to be essentially nothing. And then actually test to see whether or not we show, you know, that there is no effect. But one of the things with our field is we have this kind of perfect storm of things with null hypothesis significance testing. It's pretty easy also to fudge around with the statistical models that you fit. Most people in the field don't understand statistics enough to pick out when an incorrect model has been applied. So it passes through fairly easily. We're