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Cognition and Chance: The Psychology of Probabilistic Reasoning Paperback – Jun 2 2004
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This book is an insightful lesson on how one's worldview affects one's thinking, even in certain mathematical applications.
—Journal of Psychology and Christianity
...the book brings together many diverse sources and results on a host of topics....it could serve as a useful starting point for a new researcher beginning a study of some aspect of quantitative reasoning.
...for the newcomer the book provides an excellent introduction to this field of research, and the connoisseur will appreciate the book as a useful handbook allowing for quick refreshers of the many empirical results already available.
I liked this book a lot....Nickerson has done a fine job in putting together coherently a wide range of material...this book is remarkably well timed.
—Howard Wainer, Ph.D.
Distinguished Research Scientist, National Board of Medical Examiners
This book presents a more inclusive report of the literature on probabilistic reasoning, without a specific application in mind, allowing for both broader coverage of the field, and for deeper exploration of inherently interesting and provocative reasoning and problems....The quality of scholarship...is impressive, with...classic citations as well as a diversity of perspectives representing current thinking on the problems....Business school students would probably greatly benefit from this book....As a researcher, I find this book to be a very useful collection of the research on probabilistic reasoning, and would absolutely want a copy for my own library....I could imagine using this text in a graduate or upper level undergraduate course on judgment and decision making.
—Julie Downs, Ph.D.
Department of Social and Decision Sciences, Carnegie Mellon University
It is comprehensive in its approach to scholarship and does not choose a single point ofview from among the usual ones. Instead, it offers wise and clever comments on the many different perspectives that exist.
—Jonathan Baron, Ph.D.
Professor of Psychology, University of Pennsylvania
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Most Helpful Customer Reviews on Amazon.com (beta)
I learned a lot about interesting issues in probability. I also was able to feel like I completely understood Bayes' Theorem for the first time as opposed to just going through the mechanics of it. The author strips away all of the ambiguous bits and provides some examples which are so clear cut that the core essence of Bayesian thinking is laid bare. If you need to learn Bayes Theorem, just reading chapter 4 could be worth the trip to the library.
The last 5 chapters of the book were less interesting to me. They were filled with interesting stuff to be sure, but I felt that the treatment of this material was half-hearted and better found elsewhere. It's mostly lots of Kahneman and Tversky (and their imitators) style behavioral economics experimental results. That's interesting, but the Wikipedia page on Cognitive Biases is more than sufficient for the interested reader. Slogging through an unnecessary 150 pages was also more than sufficient. The writing is good and if you had no exposure to this kind of stuff, it would be as interesting as it ever is.
My biggest complaint about the book is that it was long and the chapters were also very long. I feel like it should have been two books (one on probability and one on cognitive biases). Instead of each chapter being around 50 pages, that could have been better organized. For example chapter 9 contained a section on "Conditional Probabilities" which was surprising since there was a whole long chapter (4) on Bayesian thinking. Chapter 9 even had Bayes' Theorem again.
I must say that it was well written. It was clear and grammatically easy to read. It was filled with useful citations and quotations. Many of the topics in the early chapters were quite fascinating. If you're interested in where modern technical thinking's ability to deal with uncertainty breaks down, the first 7 chapters of this book are fantastic. If you're interested in how the human brain naturally deals (or doesn't deal) with uncertainty, the second half may be of interest. In all the first half was worth 5 stars to me.
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