The article explains how scientists use a method called null hypothesis significance testing to see if patterns in data are just due to chance. They follow four steps: create a null hypothesis, pick a significance level, calculate a statistic, and decide if the null hypothesis is true or false. The article also talks about different types of statistical tests, effect size, and errors that can happen. It helps scientists understand if their results are meaningful or just random.