The article discusses the concept of P values in scientific research. Researchers used significance testing to determine if there is a relationship between an exposure and a disease. By calculating a P value, they could assess the likelihood of their data occurring if there was no real effect. If the P value was below 0.05, the finding was considered statistically significant, and the null hypothesis was rejected.