Footnote video: https://www.youtube.com/watch?v=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