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#531: Correlation, Causation & Cliché

Sigma Nutrition Radio

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Navigating Complexity in Causality

Establishing causality in biological sciences, particularly nutrition, relies on various epistemic models due to the complexities of multifactorial diseases and observational research. The Bradford Hill criteria and probabilistic causal models provide frameworks for forming public health nutrition guidelines, such as reducing sodium, red meat, and saturated fat intake. However, the intricate relationship between complex exposures and outcomes often leads to challenges in arriving at definitive cause-and-effect conclusions. This underscores the need for robust causal frameworks to evaluate evidence strength and reliability.

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