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#119 Data-Driven Thinking for the Everyday Life

DataFramed

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Self-Tracking for Health Insights

This chapter emphasizes the significance of symptom tracking in identifying food intolerances and demonstrates the power of Bayesian thinking in health metrics. It explores practical self-tracking tools and the complexities of data analysis, highlighting the importance of context and judgment in interpreting results.

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