The implementation/adoption of small volume correction highlights a fundamental issue with conventional multiple comparison adjustment methods (e.g., FWE and FDR): their sensitivity to the data domain’s size. Beyond this arbitrariness issue, there exist several other problems associated with these adjustments in common practice. To address these issues, prioritizing information integrity becomes crucial. One effective approach, as @ptaylor pointed out, is to promote transparency and reproducibility by emphasizing relevant findings without obscuring them through artificial dichotomization—following the principle of "highlight, but don’t hide".
Gang Chen