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Correlation CAN Imply Causation! | Statistics Misconceptions

minutephysics1 HN recommenders · 2017–2022
744K views · explainer · evergreen · Uploaded 2017-08-17

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.

HN people link it as a short, accessible summary of Judea Pearl-style causal inference when someone repeats that correlation cannot imply causation.

Data science & statisticsScientific method & science communication

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3 comments from Hacker News

@esmi2017 · in “Divorce and Occupation”

I see your blog post and raise you a youtube video. minutephysics Correlation CAN Imply Causation! | Statistics Misconceptions [VIDEO]

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@trendia2018 · in “Why Did a Billionaire Give $75M to a Philosophy Department?”

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]

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@woojoo6662022 · in “The near future of AI is action-driven”

> 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]

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