MinutePhysics

Correlation CAN Imply Causation! | Statistics Misconceptions (2017x14)

Fecha de emisión: Ago 17, 2017

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.