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Correlation vs Causation

Sharpen your ability to distinguish genuine causal relationships from misleading statistical associations by analyzing scenarios from epidemiology, economics, education, and public health. You will learn to identify confounding variables, reverse causation, collider bias, and ecological fallacies that routinely lead policymakers, journalists, and even researchers to draw invalid conclusions from correlational data.

beginner15 minScientific Reasoning
Question 1 of 617% Complete

A widely shared health article reports: "A 12-year longitudinal study of 48,000 adults found that those who ate breakfast daily had a 23% lower risk of developing type 2 diabetes (HR = 0.77, 95% CI: 0.71-0.84, p < 0.001)." A lifestyle influencer cites this to argue that eating breakfast prevents diabetes. What is the most likely reason this causal conclusion is wrong?