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Correlation CAN Imply Causation! | Statistics Misconceptions

10 medlemmar

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.

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S2017E15 - Misconceptions Footnote †: Randomness and Feedback

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