book

The Causal Mindset Handbook

Name: The Causal Mindset Handbook
Author: Dr. Quentin Gallea
ISBN: 9781806117857

by Dr. Quentin Gallea

March 2026

Beginner

212 pages

5h 54m

English

Packt Publishing

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Contributors
About the authorAcknowledgment
Preface
Who this book is forWhat this book coversTo get the most out of this bookLet us challenge the status quoConventions used Get in touchFree benefits with your bookHow to Unlock
Part 1: Why Causality?
Understanding Causality and Its Importance
Your purchase includes a free PDF copy + exclusive extrasIntroducing causalityWhat is causality?The big pictureDumb data versus our limited perceptionVisualizing cause and effectEverything is multifactorialCase studiesCase study 1: Cold showers and the immune systemCase study 2: Marketing campaign for energy sobrietyCase study 3: Air pollution and respiratory diseaseSummaryGet this book’s PDF version and more
Causation versus Prediction
Why words matter: The thin terminology frontierDifferent roles: Predictive inference (predictive AI) versus causal inferenceChoosing between traditional ML and causal inferenceA powerful collaboration: When causal inference allows you to measure the impact of predictive toolsUnification: Causal AI, an exciting, emerging new fieldCase studiesCase study 1: Cold showers and healthCase study 2: Energy sobriety campaign in SwitzerlandCase study 3: Air pollution and respiratory diseaseSummary
Part 2: What Are the Main Challenges?
Why Is It So Hard To Prove Causality?
Understanding the fundamental problem of causal inferenceExploring counterfactualsProving causalityPlaying the causal detective gameCase studiesCase study 1: Cold showers and the immune systemCase study 2: Marketing campaign for energy sobrietyCase study 3: Air pollution and respiratory diseaseSummaryGet this book’s PDF version and more
Beyond Correlation: The Main Culprits
Identifying confoundersMediators and collidersNon-classical measurement errorsSpotting reverse causationExternal validityCase studiesCase study 1: Cold showers and the immune systemCase study 2: Marketing campaign for energy sobrietyCase study 3: Air pollution and respiratory diseaseSummary
Part 3: What Are the Solutions?
The Causal Mindset Framework
Learning about the Causal Mindset frameworkStep 1: What is the proxy counterfactual?Step 2: Is there something else?Step 3: What is the direction of the bias?Step 4: Refining and iteratingStep 5: Can we extrapolate?The appWhen to use the Causal Mindset frameworkUnderstanding the importance of domain knowledge in causal inferenceCase studiesCase study 1: Cold showers and the immune systemStep 1: What is the counterfactual?Step 2: Is there something else?Step 3: What is the direction of the bias?Step 4: Refining and iteratingStep 5: Can we extrapolate?Case study 2: Marketing campaign for energy sobrietyStep 1: What is the counterfactual?Step 2: Is there something else?Step 3: What is the direction of the bias?Step 4: Refining and iteratingStep 5: Can we extrapolate?Case study 3: Air pollution and respiratory diseaseStep 1: What is the counterfactual?Step 2: Is there something else?Step 3: What is the direction of the bias?Step 4: Refining and iteratingStep 5: Can we extrapolate?SummaryGet this book’s PDF version and more

Randomized Experiment
Designing a credible experimentSelecting a sampleTreatment allocationRandomize everything that can be randomizedPlacebo, nocebo, and blindingPreventing contamination and spilloversNon-complianceEthical considerationsAssessing randomized experiments’ weaknessesExternal validity in randomized experimentsWhy statistics are essential for A/B testingRandomization is not always possibleCase studiesCase study 1: Cold showers and the immune systemSuggested answerCase study 2: Marketing campaign for energy sobrietySuggested answerCase study 3: Air pollution and respiratory diseaseSuggested answerSummary
Quasi-Experimental Methods
Understanding identifying assumptionsDifference-in-differencesIdentifying assumption for difference in differencesDifference-in-differences examplesRegression discontinuity designIdentifying assumption for RDDHow to validate the identifying assumptionRDD examplesInstrumental variablesIdentifying assumptions for an instrumental variableExamples of instrumental variablesCase studiesCase study 1: Cold showers and the immune systemCase study 2: Marketing campaign for energy sobrietyCase study 3: Air pollution and respiratory diseaseSummaryGet this book’s PDF version and more
Part 4: How to Deal with Imperfection
Correct Answer, Wrong Question: The Importance of Choosing the Right Metrics
Answering the wrong question correctlyMisunderstood pathwayMisleading outcome extrapolationSelecting the right metrics to measure what mattersAssessing and addressing behavioral biasCase studiesCase study 1: Cold Showers and the immune systemCase study 2: Marketing campaign for energy sobrietyCase study 3: Air pollution and respiratory diseaseSummary
Embracing Uncertainty
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Index

Content preview from The Causal Mindset Handbook

Part 1 Why Causality?

In this first part, we will quickly climb the peak of enthusiasm. The first part provides the foundational knowledge, allowing us to understand what causality is, why it matters, and how it differs from prediction, which is what we often do with AI. Along the way, you will learn how to build directed graphs to represent causal relationships, which should be the starting point of any causal model. By the end of this part, you will know how to represent causal pathways graphically, how to choose between causal and predictive inference, how to combine them efficiently to measure the impact of AI models as top tech leaders are doing, and what the emerging field of Causal AI is about.

This part of the book includes the following ...

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The Causal Mindset Handbook

by Dr. Quentin Gallea

Part 1

Why Causality?

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.