Our Review Methodology
We weigh study design, statistical robustness, openness of data and code, and relevance to ongoing conversations. Every weekly entry links sources and specifies why a paper made the cut. Suggest criteria improvements, and we will test them in upcoming weeks.
Our Review Methodology
We represent divergent results without flattening nuance. When findings conflict, we trace differences in populations, measures, or models. Join the discussion in comments to point out overlooked moderators or boundary conditions worth highlighting.