Yes, p values can be misleading if not interpreted correctly. For example, p-hacking (manipulating data to achieve a significant p value) and multiple comparisons without proper adjustments can lead to false conclusions. It is essential for researchers to use p values in conjunction with other statistical measures and robust study designs to ensure the validity of their findings.
