Causality: An Introduction | How (naive) statistics can fail us
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The first video in a 3-part series on causality. This series is based on the work of Judea Pearl, who laid much of the groundwork for this "new science of cause and effect". Future posts will look more closely at two fields of causality: causal inference and causal discovery.
Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosVVTz9HEzpI4d6xpWsc8rOa
๐ฐ Read more: https://medium.com/towards-data-science/causality-an-introduction-f8a3f6ac4c4a?sk=970d8785697588735e3cb3dd7bbf8cf9
Resources:
- The Book of Why by Judea Pearl: https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X
- Spurious Correlation Examples: https://tylervigen.com/spurious-correlations
Introduction - 0:00
Why? - 0:50
3 Traps of Statistics - 1:35
Trap 1: Spurious Correlation - 1:42
Trap 2: Simpson's Paradox - 2:34
Trap 3: Symmetry - 4:09
Defining Causality - 5:32
Representing Causality - 6:24
Closing remarks - 8:01
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