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This episode reveals how distinguishing true cause from mere correlation is the key to understanding the world, making better decisions, and building more intelligent systems.
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“This episode reveals how distinguishing true cause from mere correlation is the key to understanding the world, making better decisions, and building more intelligent systems.”
— Judea Pearl | Dana Mackenzie, The Book of Why
Causality, decision-making, data science, critical thinking
If you often mistake correlation for causation, or make decisions based on superficial patterns, this will sharpen your ability to see the true levers of change, and this will help you see what to do next.
Judea Pearl, a Turing Award-winning computer scientist, revolutionized artificial intelligence by introducing a calculus for causality, fundamentally changing how we understand the relationship between data and reality.