Beyond Correlations: Why Astrology Needs a Causal Model
Can statistical correlations prove astrology? Learn why p-values, effect sizes, and statistical power are not enough without a causal model and testable mechanism.
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Can statistical correlations prove astrology? Learn why p-values, effect sizes, and statistical power are not enough without a causal model and testable mechanism.
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Testing astrology using the scientific method: neural networks, data, and statistics. Implementing validation code from scratch in NumPy.
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Can astrological predictions be turned into a rigorous mathematical model? Learn how to train a computer to make predictions.
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Explore the pilot study comparing the accuracy of horary astrologers to random individuals in predicting event timings.
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