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Randomized controlled trials (RCTs) are widely employed to inform policy decisions in the social and behavioral sciences. Yet both philosophers and scientists have questioned the reliability of effect-size evidence derived from RCTs for policy extrapolation, arguing that RCT findings should be complemented by evidence about the mechanism through which a policy works. We agree that mechanisms are important but argue that existing accounts face the challenge of mechanism individuation . In this article, we explain what the challenge consists in, focusing on common practices of policy scaling-up, transferring policy to new domains, and aggregating policy-relevant evidence.
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Marchionni et al. (2026) studied this question.
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