2017-08-17

[public] 686K views, 26.3K likes, 424 dislikes audio only

minutephysics

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Footnote video: /youtube/video/iMbcMMe0D_Y

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.

REFERENCES:

Causal Discovery Algorithm in Quantum Mechanics Paper: https://arxiv.org/pdf/1208.4119.pdf

Causal Models overview (Quantum and Classical): https://arxiv.org/pdf/1609.09487.pdf

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Created by Henry Reich