744K views · Aug 17, 2017 · 4:12 · 1 HN recommender · 3 mentions · discussed 2017–2022
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 Hacker News points people here: HN people link it as a short, accessible summary of Judea Pearl-style causal inference when someone repeats that correlation cannot imply causation.
“A rough summary is available as a YouTube video”HN comment, 2018
“A rough summary is available as a YouTube video”
Rough summary of Judea Pearl's work on proving causality.
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
“I see your blog post and raise you a youtube video.”
I see your blog post and raise you a youtube video. minutephysics Correlation CAN Imply Causation! | Statistics Misconceptions this video
“MinutePhysics has a video about how correlation can imply causality”
Argues correlation can imply causality.
> 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
