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Correlation CAN Imply Causation! | Statistics Misconceptions

minutephysics · 743.6K views · 2017-08-17 · 4:12

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Overview

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.

On Hacker News

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

Recommended by 1 HN people across 1 months · HN mentions 2017–2022

Topics

Data science & statisticsScientific method & science communication
Search by tags
correlation vs causationcausal modelsjudea pearlstatisticsquantum causality

What people said

trendia · 2018-01 · Recommendation

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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woojoo666 · 2022-11 · Reference

> 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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esmi · 2017-09 · Reference

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

Read the original HN comment ↗

Sources

Video by minutephysics, played through YouTube.

Data and selection notes

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HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

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