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Data Tells Us “What” and We Always Seek for “Why”

“The Book of Why” Chapters 1&2, a Read with Me series

Zijing Zhu, PhD
TDS Archive
Published in
9 min readNov 8, 2023

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In my previous article, I kicked off the “Read with Me” book club to explore Judea Pearl’s “The Book of Why”. I would like to thank everyone who has shown interest and signed up to join the club. I am hopeful that we can embark on a journey to deepen our understanding of causality by reading and sharing insights together. After two weeks, as promised, I am sharing some key points I took from the first two chapters.

In these two chapters, Judea starts by explaining the Ladder of Causality and reviews the historical development of causal theory. We will further deep dive into the three Rungs.

The Ladder of Causality referred from Judea Pearls

Rung 1: Association

Back in 1800, from Galton to Pearson, as they sought to understand how humans inherit genetic traits, they found that correlation was sufficient in a scientific sense. After all, “Data is all there is to science." To them, causality is merely a special case of correlation that can never be proven. On the other hand, correlation is powerful enough to explain why sons of taller fathers are taller than the…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Zijing Zhu, PhD
Zijing Zhu, PhD

Written by Zijing Zhu, PhD

Ph.D. in Economics | Data Scientist @Cisco | Top 1000 Writer in Medium| Lifetime Learner | https://www.linkedin.com/in/zijingzhu/

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