Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Policymakers are increasingly facing the challenge of scaling empirical insights. This study provides a theoretical lens into the science of how to use science. Through a simple model, we highlight three elements of the scale‐up problem: (1) when does evidence become actionable; (2) properties of the population; and (3) properties of the situation. Until these three areas are fully understood, the threats to scalability will render any scaling exercise as particularly vulnerable. Accordingly, our work represents a call for more policy‐based evidence, whereby the nature and extent of the various threats to scalability are explored in the original research program.