Reliable statistics are vital in many areas of life – none more so than in public health, when knowing how many people die of or are made sick by particular diseases is essential for policymakers and planners to make the best decisions about how to prevent suffering and save lives. But how do they know the data on which they base those decisions are reliable?
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