Despite its widespread use, the p-value has several limitations. One major criticism is that it does not measure the magnitude of an effect or the importance of a result. Additionally, a p-value alone cannot confirm causality. It is also sensitive to sample size; larger samples may yield statistically significant p-values for trivial effects. Therefore, it is crucial to consider other statistical measures, such as confidence intervals, and the study's context when interpreting p-values.
