Causality: An Introduction | How (naive) statistics can fail us

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:    • Causality  
📰 Read more: https://towardsdatascience.com/causal...

Resources:
- The Book of Why by Judea Pearl: https://www.amazon.com/Book-Why-Scien...
- Spurious Correlation Examples: https://tylervigen.com/spurious-corre...

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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