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Numbers feel like proof, which is why misleading statistics are so persuasive. We walk through the most common tricks: missing baselines, relative versus absolute risk, cherry-picked time ranges, chopped chart axes, tiny samples, and confusing correlation with causation. You'll come away with a simple checklist for judging a number before you share it.
