Have fun improving your math & physics skills! Head to http://brilliant.org/minutephysics

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

Support MinutePhysics on Patreon! http://www.patreon.com/minutephysics
Link to Patreon Supporters: http://www.minutephysics.com/supporters/

MinutePhysics is on twitter – @minutephysics
And facebook – http://facebook.com/minutephysics
And Google+ (does anyone use this any more?) – http://bit.ly/qzEwc6

Minute Physics provides an energetic and entertaining view of old and new problems in physics — all in a minute!

Created by Henry Reich

(440815)

Correlation CAN Imply Causation! | Statistics Misconceptions

About The Author
-