**Small sample sizes.** Many studies used 20–30 participants, which is too few to reliably detect real effects. Small samples produce noisy results that exaggerate effect sizes. - **P-hacking.** Some researchers (often unconsciously) tried multiple analyses until they found one that produced a "sign