Data is a powerful, important thing. It can help researchers, practitioners, policymakers, and even frontline health workers discover new strategies that improve health, dictate things like resource and services allocation, and even save lives. But what happens when data is flawed, manipulated, or even weaponized? Can it worsen health inequities or harm populations?

In this episode of Population Healthy Season 3: Race, Inequity, and Closing the Health Gap, we talk with experts about the problematic history of racialized data in the United States, the dangers of “garbage data,” and the ways we can both gather better data, and improve collaborations with the populations we serve.

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