The primary concern with multiple comparisons is the inflation of the overall Type I error rate. When conducting a single hypothesis test with a significance level of 0.05, there is a 5% chance of incorrectly rejecting the null hypothesis. However, when multiple tests are performed, this error rate compounds, leading to a higher probability of false positives. This can result in misleading conclusions and potentially harmful public health decisions.
