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Correlation CAN Imply Causation! | Statistics Misconceptions
About this video
A four-minute minutephysics video arguing that causal models and causal networks let statistics infer causation from correlation. It touches on Reichenbach's principle, common causes, feedback and quantum causal discovery.
Why it appears in the archive
HN people link it as a short, accessible summary of Judea Pearl-style causal inference when someone repeats that correlation cannot imply causation.
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From the Hacker News discussion
Judea Pearl wrote a whole book about proving causality (and when it can't be proven). A rough summary is available as a YouTube video: [VIDEO]
Read original comment ↗I see your blog post and raise you a youtube video. minutephysics Correlation CAN Imply Causation! | Statistics Misconceptions [VIDEO]
Read original comment ↗> It's impossible in general to be certain of causality for humans too, all we see are correlations in data and we invent causal theories that explain those correlations Not sure about that. MinutePhysics has a video about how correlation can imply causality: [VIDEO]
Read original comment ↗