Correlation CAN Imply Causation! | Statistics Misconceptions

Have fun improving your math & physics skills! Head to https://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