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Correlation CAN Imply Causation! | Statistics Misconceptions

minutephysics · Youtube · 2 HN points · 3 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention minutephysics's video "Correlation CAN Imply Causation! | Statistics Misconceptions".
Youtube Summary
Have fun improving your math & physics skills! Head to https://brilliant.org/minutephysics/

Footnote video: https://www.youtube.com/watch?v=iMbcMMe0D_Y

This video is about how causal models (which use causal networks) allow us to infer causation from correlation, proving the common refrain not entirely accurate: statistics CAN be used to prove causality! Including: Reichenbach's principle, common causes, feedback, entanglement, EPR paradox, and so on.

REFERENCES:
Causal Discovery Algorithm in Quantum Mechanics Paper: https://arxiv.org/pdf/1208.4119.pdf
Causal Models overview (Quantum and Classical): https://arxiv.org/pdf/1609.09487.pdf

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Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a minute!

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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference 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: https://www.youtube.com/watch?v=HUti6vGctQM

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:

https://m.youtube.com/watch?v=HUti6vGctQM

wsy
Hume's point is much more fundamental: you can't know if the world is indeed governed by 'natural laws'. Maybe the sun will just not rise tomorrow, ignoring all of the causal relationships we think we 'discovered'. There is no way to prove it will.

Or in more modern terms: we didn't discover anything inherent in nature, we invented models for prediction. Which are very useful, but don't tell anything about how the world 'really is'.

And, to be very explicit: this includes probability theory. You can prove that a series of observations from the past follows some pattern that matches the definition of probabilistic causality. But you can't prove that the events in the future will continue to fit that same pattern. So again you cannot prove anything about how the world 'really is'.

a_humean
They are very very closely related, and philosophers and Pearl cite each other on the topic of causation, but Hume and philosophers are usually concerned with a slightly different problem. Hume is concerned about the nature of the necessity between any cause and effect which seemed to be implied by our experience of events. Whereas Pearl (much less knowledgeable about Pearl) is interested in how we can model events to give us high confidence in the relation applying in a particular case while leaving the topic of necessity and the fundamental nature of causation to the side and assuming a much more vague /ad hoc notion of what causation is.
Sep 05, 2017 · esmi on Divorce and Occupation
I see your blog post and raise you a youtube video.

minutephysics Correlation CAN Imply Causation! | Statistics Misconceptions

https://www.youtube.com/watch?v=HUti6vGctQM

Aug 18, 2017 · 2 points, 0 comments · submitted by joeyespo
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