Bias in, bias out: How to strengthen evidence aggregation
In a world saturated with research and policy recommendations, it’s more important than ever to synthesize evidence well. A single study in a single setting may not yield estimates of impact that can be generalized to other contexts; we may worry about spurious effects. Aggregating results across multiple studies can give us more confidence in […]









