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The Book of Why
The rewards of having a causal model that can answer counterfactual questions are immense. Finding out why a blunder occurred allows us to take the right corrective measures in the future. Finding out why a treatment worked on some people and not on others can lead to a new cure for a disease. Answering the question “What if things had been differe
... See moreDana Mackenzie • The Book of Why: The New Science of Cause and Effect
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
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Causation is always more difficult to prove than Correlation. When analyzing complex Systems with many variables and Interdependencies, it’s often extremely difficult to find true causality.