Flawed Meta‑Analyses Drive Regulation

When meta‑analyses mix inappropriate effect measures or selectively use adjusted statistics, they can produce large, misleading estimates of population health impact. Those inflated numbers can then be cited by regulators or media to justify costly bans or mandates that lack a solid causal basis. — Shows how technical epidemiological mistakes can have outsized political and economic consequences by creating a veneer of scientific certainty for regulatory action.