Not all literatures improve certainty: when a field is riddled with selection, flexible analysis, or low power, a single well‑designed, pre‑registered study can be more reliable than a biased collection of published papers. Readers and decision‑makers should evaluate the prevalence of publication bias (e.g., funnel‑plot asymmetry) before deferring to meta‑analytic consensus.
— This reframes how journalists, policymakers, and the public should weigh evidence: quality and transparency can trump quantity when aggregated evidence is corrupted.
2026.04.04
100% relevant
The article’s examples (air pollution and mindfulness meta‑analyses) and the discussion of funnel plots and the trim‑and‑fill correction illustrate where pooled estimates are inflated by imprecise, selectively published studies.
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