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#531: Correlation, Causation & Cliché

Sigma Nutrition Radio

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Correlation Indicates Potential, Not Proof

Understanding the distinction between correlation and causation is crucial for interpreting data in nutrition and health science. While correlation does not imply causation, it can still be significant and relevant. An association between two variables may hold importance and relate to causative factors, challenging the notion that such correlations are merely random. Thus, it is essential to grasp these concepts to facilitate a deeper understanding of empirical knowledge and its historical context, especially in the ongoing discourse around health-related studies.

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