While p values are a valuable tool, they have limitations. They do not measure the size or importance of an effect, only the likelihood that it is not due to chance. Moreover, a p value can be influenced by the sample size; larger samples often lead to smaller p values, even if the practical significance is minimal. Researchers must also be wary of p-hacking, where data is manipulated to achieve a significant p value.
