Correlation CAN Imply Causation! | Statistics Misconceptions

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Footnote video:

This video is about how causal models (which use causal networks) allow us to infer causation from correlation, proving the common refrain not entirely accurate: statistics CAN be used to prove causality! Including: Reichenbach’s principle, common causes, feedback, entanglement, EPR paradox, and so on.

Causal Discovery Algorithm in Quantum Mechanics Paper:
Causal Models overview (Quantum and Classical):

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Created by Henry Reich



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