Correlation CAN Imply Causation! | Statistics Misconceptions
minutephysics1 HN recommender · recommended in 1 month, 2017–2022
explainer · general · evergreen · 2017–2022 on HN
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.
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3 comments from Hacker News
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: ▶ this video
> 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: ▶ this video
I see your blog post and raise you a youtube video. minutephysics Correlation CAN Imply Causation! | Statistics Misconceptions ▶ this video