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How to Assemble Science

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Humanity now produces an overwhelming volume of research - about 7 million scholarly articles in 2025 alone - yet that flood of studies often creates confusion rather than clarity because individual papers get reported in isolation. Headlines based on single studies can scare or mislead; one high-profile example is a 2025 US health warning linking prenatal acetaminophen to autism that relied on a selective subset of studies but was later contradicted by a comprehensive review finding no clear link. Structural incentives drive the problem: academics publish to advance careers, journalists chase novelty for clicks, and many important kinds of knowledge (including lived and Indigenous experience) remain poorly captured in academic databases. The central argument is that the crucial work is not new single studies but rigorous synthesis - finding, sorting and combining evidence so decisions rest on the full body of knowledge.

The practical response traced here is the rise of meta-analysis and systematic review. In 1976 Gene Glass introduced meta-analysis, converting disparate outcomes into a common effect size and averaging results across hundreds of psychotherapy studies. Systematic reviews use exhaustive searches, quality appraisal and often meta-analysis to produce reliable summaries. Iain Chalmers’ 1990s work on pregnancy and childbirth trials exposed harmful routine practices and helped found the Cochrane Collaboration in 1993; within a decade Cochrane published thousands of reviews and by 2010 researchers were producing roughly 11 systematic reviews on health every day. These synthesis tools quietly underpin modern clinical guidelines and offer a roadmap for assembling the existing knowledge needed to tackle complex problems.

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