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第2行： − − + − + − + − Contents+ − + − 1Summary+ − + − 1.1Introduction: Mind over Data+ − + − 1.2Chapter 1: The Ladder of Causation+ − + − 1.3Chapter 2: From Buccaneers to Guinea Pigs: The Genesis of Causal Inference+ − + − 1.4Chapter 3: From Evidence to Causes: Reverend [Thomas Bayes|Bayes] meets Mr Holmes+ − + − 1.5Chapter 4: Confounding and Deconfounding, or, Slaying the Lurking Variable+ − + − 1.6Chapter 5: The Smoke-filled Debate: Clearing the Air+ − + − 1.7Chapter 6: Paradoxes Galore!+ − + − 1.8Chapter 7: Beyond Adjustment: The Conquest of Mount Intervention+ + + − 1.9Chapter 8: Counterfactuals: Mining worlds that could have been − 1.10Chapter 9: Mediation: The Search for Mechanism − 1.11Chapter 10: Big Data, Artificial Intelligence and the Big Questions+ − 2Reviews+ + + + + + + + + + + + + + − 3References
无编辑摘要
第一段英文为原维基百科的内容，第二段英文为摘除多余格式的英文原文，方便大家审校，以及第三段为机器翻译的中文。
第一段英文为原维基百科的内容，第二段英文为摘除多余格式的英文原文，方便大家审校，以及第三段为机器翻译的中文。
The Book of Why: The New Science of Cause and Effect is a 2018 nonfiction book by computer scientist Judea Pearl and writer Dana Mackenzie. The book explores the subject of causality and causal inference from statistical and philosophical points of view for a general audience.
The Book of Why: The New Science of Cause and Effect is a 2018 nonfiction book by computer scientist Judea Pearl and writer Dana Mackenzie. The book explores the subject of causality and causal inference from statistical and philosophical points of view for a general audience.
[[文件:The Book of Why.jpg|缩略图]]
[[文件:The Book of Why.jpg|缩略图|
{| class="wikitable"
!Authors
|Judea Pearl and Dana Mackenzie
|-
!Language
|English
|-
!Subjects
|Causality, Causal Inference, Statistics
|-
!Publisher
|Basic Books (US)Penguin (UK)
|-
!Publication date
|2018
|-
!ISBN
|9780141982410
|-
!Preceded by
|''Causal Inference in Statistics: A Primer''
|}
]]
== Contents ==
* 1 Summary
** 1.1 Introduction: Mind over Data
** 1.2 Chapter 1: The Ladder of Causation
** 1.3 Chapter 2: From Buccaneers to Guinea Pigs: The Genesis of Causal Inference
** 1.4 Chapter 3: From Evidence to Causes: Reverend [Thomas Bayes|Bayes] meets Mr Holmes
** 1.5 Chapter 4: Confounding and Deconfounding, or, Slaying the Lurking Variable
** 1.6 Chapter 5: The Smoke-filled Debate: Clearing the Air
** 1.7 Chapter 6: Paradoxes Galore!
** 1.8 Chapter 7: Beyond Adjustment: The Conquest of Mount Intervention
** 1.9 Chapter 8: Counterfactuals: Mining worlds that could have been
** 1.10 Chapter 9: Mediation: The Search for Mechanism
** 1.11 Chapter 10: Big Data, Artificial Intelligence and the Big Questions
* 2 Reviews
* 3 References