The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck

A deep modern irony is that, despite talking about "uncertainty" all the time, we are very uncertain about what we mean by "uncertainty". With remarkable clarity, David Spiegelhalter takes us on a tour of both uncertainty and how we humans conceptualize, measure, and manage uncertainty. The book is rich with insightful observations and powerful ideas. While parts of the book are a bit technical, he writes in a way that a reader with no desire to delve into technical details will enjoy the book and come away with a markedly clearer set of ideas about uncertainty. A great book on a ubiquitous and important topic.

Found the narrative portions of the book a thoughtful and engaging journey into the subject of uncertainty. But getting through the math of it all was a slog, making it difficult to apply to everyday life.

Excellent overview of assessing strength of predictions. Lots of stats might put some readers off, but they need not be grasped to get the basic substance. Non-stat folk can easily understand the issues because of the examples and connections. Distinguishing between "probability" and "certainty" helps the lay-reader understand decision making and research. This book is a valuable antidote to media and other outlets that report research or decision making that tend to be simplistic and often erroneous.

Highly technical tome on uncertainty. Great and technical explanation of why uncertainty exists - probably a little too technical for my level. Kind of like a graduate level book on uncertainty. I found Chapter 15 on making decisions and managing risks as useful and interesting as any other part of the book. It provides a summary list of considerations of making decisions under uncertainty. They are: - Complexity - Redundancy - Humility - Robustness - Resilience - Reversibility -Adaptivity After over 200 plus pages on what uncertainty is and what are its causes, I only wish that there had been more on how to make better decisions under uncertainty.

David Spiegelhalter’s The Art of Uncertainty is more philosophical than a work of hardcore numerical analysis. Although it includes some quantitative discussion, the dominant narrative concerns how we ought to think about chance, ignorance, risk, and luck. The book begins from the observation that uncertainty surrounds us constantly yet is rarely examined with care. Uncertainty, Spiegelhalter argues, is not an objective property of the external world but a relationship between an observer and that world; it therefore depends on the subjective perspective, knowledge, and biases of the individual. Spiegelhalter distinguishes different kinds of uncertainty. Ontological (or deep) uncertainty arises when it is difficult even to conceive the range of possible outcomes—an example being the ways artificial intelligence may reshape work over the next five or ten years. Epistemic uncertainty, by contrast, concerns situations in which we can attach provisional values or probabilities on the basis of current knowledge or historical information. The aim is to cultivate sufficient humility to recognize these distinctions and to ascribe appropriate parameters to the risks we face. United States Secretary of Defense Donald Rumsfeld’s well-known 2002 formulation is relevant here: “As we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns—the ones we don’t know we don’t know.” Readers are reminded that unknown unknowns must always be kept in view. The book draws on psychological research that distinguishes “risk as feeling” from “risk as analysis.” Most people respond primarily through feeling; Spiegelhalter concentrates on the analytic path, in which careful reasoning, numbers, and statistical models help evaluate risks and uncertainties more systematically. Life is filled with uncertainties and risks. The Art of Uncertainty encourages readers to convert feeling and intuition into clearer statistical frameworks. No single volume can prescribe a complete method for every form of uncertainty, yet the book’s insistence on slowing down and thinking more systematically is itself of real value.

I have the authors first book, The Art of Statistics, so got this one. Enjoyed it but it was hard for me. Maybe a reader can help me: pages 49 to 50 describe a problem called Hannah's Sweets. I get that the probability of Hannah eating an orange sweet is 6/n, where n = the total number of sweets. We are told there are six orange sweets. But I don't get the probability that the second sweet she eats is 5/n-1. I get the n-1 but 5? Where does it say that the first sweet she ate was orange? I feel dumb.

This is a superb overview of probability theory with applications to the everyday world. It is written with the clarity and grace that distinguished the author's The Art of Statistics. A most informative and enjoyable read.

Very ,very good. Highly recommended. Useful--no ,essential--if you trade any securities, or just want to idnetify what those lunatics are doing.

Clear concept . Read slowly to understand subtle concepts . Most interesting is chapter on exchangeablity as link between personal and objective .Practical use as a stroke consultant in making decision under uncertain situations in a few minutes.

Très interéssant

This one is insightful. Tons of wisdom distilled in this amazing book

Questo libro di Sir David Spiegelhalter è un'opera fondamentale e autorevole per chiunque voglia comprendere con rigore i concetti classici di statistica e probabilità applicati alla vita quotidiana, al rischio e alla fortuna. In qualità di indiscussa autorità, Spiegelhalter espone con grande rigore scientifico e chiarezza le basi per un'adeguata alfabetizzazione al rischio. Il testo è estremamente ben fatto nell'analizzare come quantificare la nostra ignoranza, interpretare le probabilità e correggere i bias cognitivi che distorcono la percezione dell'incertezza. Non a caso, è la trattazione più solida e pragmatica dell'incertezza, ancorata saldamente alla sua espressione numerica. Tuttavia, il lettore deve essere consapevole che l'opera si concentra sul consolidamento e sulla riaffermazione di principi statistici classici già noti agli addetti ai lavori. Nonostante la chiarezza espositiva, manca di un vero e proprio salto metodologico o di una visione interdisciplinare radicale che vada oltre i confini del campo statistico. Per chi valuta la dimensione dell'originalità in senso più ampio, filosofico e interdisciplinare, un'opera come "Navigare l'incertezza: trasformare imprevisti in opportunità" di Matteo Maglio emerge come molto più stimolante e innovativa, fondendo approcci di ingegneria dei sistemi e filosofia, proponendo una metodologia operativa e una visione d'insieme che si rivela più ispiratrice e immersiva, offrendo strumenti per agire attivamente nell'incertezza, piuttosto che limitarsi a misurarla. In sintesi: - Punti di Forza di Spiegelhalter: rigore, autorevolezza, eccellente comunicazione del rischio statistico. La migliore guida sui numeri dell'incertezza. - Punto debole di Spiegelhalter: non aggiunge nulla di nuovo rispetto a quanto già pubblicato. "The Art of Uncertainty" è comunque un libro di alto livello per la sua eccellenza scientifica, ma, per l'originalità intellettuale e metodologica, la bilancia pende decisamente a favore di "Navigare l'incertezza".

David Spiegelhalter’s The Art of Uncertainty offers a clear, engaging guide to navigating the messy realities of data-driven decision-making. Blending practical frameworks with real-world examples, the book demystifies concepts like randomness, Bayesian thinking, and the crucial distinction between causation and correlation. Particularly compelling is its emphasis on embracing uncertainty rather than resisting it, and how thoughtful measurement can reshape understanding. Accessible yet intellectually rich, it challenges readers to refine how they interpret evidence, update beliefs, and assess risk. This month episode at our data book club proved a valuable read for anyone working with data, AI, or complex decisions in an unpredictable world.