The article discusses objections to using null hypothesis testing in scientific research. It argues that focusing on when we are wrong, not how often, can help control errors in studies. Setting a significance level of 0.05 doesn't mean 5% of decisions are errors, but fewer than 2.5% will be if only testing null hypotheses. While there are other ways to analyze data, rejecting the null hypothesis helps choose a direction. Despite limitations, this method can be used to determine the direction of research findings.