P-hacking, also known as data dredging, refers to the manipulation of data analysis to obtain statistically significant results. This practice can involve multiple comparisons, selective reporting, and other methods that increase the likelihood of finding a p-value less than the conventional threshold (usually 0.05), even when there is no true effect.