Assessing evidence based on scale is a valid predictor of policy outcomes

This short paper demonstrates how scale of evidence used in policy decisions can predict effectiveness of policy interventions. By simply rating the level of studies' size and scope used to inform policies, we show how high "levels" of evidence were more strongly associated with better (i.e., intended) policy outcomes. That is valuable given that, as we also show, there is no single type of evidence (e.g., RCTs, systematic reviews, surveys) that is "best" to all policymakers or all policy domains. This piece is largely meant to argue for, not universally validate, a simple approach to assess evidence appropriately when making policy decisions.