Beyond Correlations: Why Astrology Needs a Causal Model
Can statistics prove astrology? Why p-values, effect sizes and power aren't enough without a causal model and a testable mechanism.
Read →Practical notes, formulas and real-chart analyses from Alexey Borealis on Studies — predictive astrology without the jargon.

Can statistics prove astrology? Why p-values, effect sizes and power aren't enough without a causal model and a 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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