The Causal Mindset Handbook
Packt Publishing Limited (Verlag)
978-1-80611-785-7 (ISBN)
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Key Features
Discover how to separate causation from correlation
Apply causal reasoning to real-life business and policy problems
Learn through real-world case studies and an interactive companion app
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionThe Causal Mindset offers a non-technical, insight-driven guide to mastering causality—essential for making high-impact decisions in today’s data-saturated world. Whether you're a manager, strategist, analyst, or simply curious, this book gives you the tools to evaluate claims, measure what truly works, and communicate findings clearly.
Built on real-life case studies—from cold showers to ad campaigns and environmental policy—it reveals a hands-on framework that helps you question causal claims in real time. Each chapter ends with exercises and access to a unique online app that lets readers apply what they’ve learned to their own scenarios.
With a balance of storytelling, practical application, and clear structure, The Causal Mindset is your essential guide to thinking more clearly, critically, and confidently—no statistics degree required.
What you will learn
Understand what causality is and how it differs from correlation
Recognize misleading causal claims in media, business, and daily life
Apply intuitive visual tools like causal graphs
Distinguish between predictive models and causal reasoning
Use key causal inference methods like RCTs and quasi-experiments
Leverage causal insights in professional decisions with confidence
Practice with real-world case studies across domains
Use the Causal Mindset App to test and strengthen your reasoning
Who this book is forIdeal for decision-makers, analysts, managers, marketers, and curious professionals with no prior statistics or programming background. This book helps anyone develop an edge in understanding cause and effect in their work and life.
Dr Quentin Gallea is a specialist in causal inference with research spanning timely challenges, including the effects of COVID lockdowns on mortality and the influence of weapon imports on migration and conflicts in Africa. He has taught statistics and causal inference to diverse audiences, from economists to executives and engineers, reaching over 15000 learners worldwide. Quentin now teaches and advises in both academic and industry settings, helping organizations measure the true business impact of AI by applying causal methods to understand what works and make better decisions.
Table of Contents
What is Causality
Spotting the Difference – Causation vs. Prediction
Why is it so hard to prove causality?
Why exactly correlation does not imply causation?
The Causal Mindset
Randomized Experiments
Quasi-Experimental Methods
Channels and the Choice of Metrics
Conclusion
| Erscheinungsdatum | 20.11.2025 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-80611-785-1 / 1806117851 |
| ISBN-13 | 978-1-80611-785-7 / 9781806117857 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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