"Exhaustively detailed yet eminently readable, this is an important book."Publishers Weekly, starred review "Cassidy does not so much exculpate Heisenberg as explain him, with a transparency that makes this biography a pleasure to read."Los Angeles Times "Well crafted and readable . . . [Cassidy] provides a nuanced and compelling account of Heisenberg's life."The Harvard Book Review In 1992, David C. Cassidy’s groundbreaking biography of Werner Heisenberg, Uncertainty, was published to resounding acclaim from scholars and critics. Michael Frayn, in the Playbill of the Broadway production of Copenhagen, referred to it as one of his main sources and “the standard work in English.” Richard Rhodes (The Making of the Atom Bomb) called it “the definitive biography of a great and tragic physicist,” and the Los Angeles Times praised it as “an important book. Cassidy has sifted the record and brilliantly detailed Heisenberg’s actions.” No book that has appeared since has rivaled Uncertainty, now out of print, for its depth and rich detail of the life, times, and science of this brilliant and controversial figure of twentieth-century physics. Since the fall of the Soviet Union, long-suppressed information has emerged on Heisenberg’s role in the Nazi atomic bomb project. In Beyond Uncertainty, Cassidy interprets this and other previously unknown material within the context of his vast research and tackles the vexing questions of a scientist’s personal responsibility and guilt when serving an abhorrent military regime. David C. Cassidy is the author of J. Robert Oppenheimer and the American Century, Einstein and Our World, and Uncertainty.

The main aim of this Element is to introduce the topic of limited awareness, and changes in awareness, to those interested in the philosophy of decision-making and uncertain reasoning. While it has long been of interest to economists and computer scientists, this topic has only recently been subject to philosophical investigation. Indeed, at first sight limited awareness seems to evade any systematic treatment: it is beyond the uncertainty that can be managed. On the one hand, an agent has no control over what contingencies she is and is not aware of at a given time, and any awareness growth takes her by surprise. On the other hand, agents apparently learn to identify the situations in which they are more and less likely to experience limited awareness and subsequent awareness growth. How can these two sides be reconciled? That is the puzzle we confront in this Element.

Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty. “An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless. The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

Many of us, especially since 9/11, have become personally concerned about issues of security, and this is no surprise. Security is near the top of government and corporate agendas around the globe. Security-related stories appear on the front page everyday. How well though, do any of us truly understand what achieving real security involves? In Beyond Fear, Bruce Schneier invites us to take a critical look at not just the threats to our security, but the ways in which we're encouraged to think about security by law enforcement agencies, businesses of all shapes and sizes, and our national governments and militaries. Schneier believes we all can and should be better security consumers, and that the trade-offs we make in the name of security - in terms of cash outlays, taxes, inconvenience, and diminished freedoms - should be part of an ongoing negotiation in our personal, professional, and civic lives, and the subject of an open and informed national discussion. With a well-deserved reputation for original and sometimes iconoclastic thought, Schneier has a lot to say that is provocative, counter-intuitive, and just plain good sense. He explains in detail, for example, why we need to design security systems that don't just work well, but fail well, and why secrecy on the part of government often undermines security. He also believes, for instance, that national ID cards are an exceptionally bad idea: technically unsound, and even destructive of security. And, contrary to a lot of current nay-sayers, he thinks online shopping is fundamentally safe, and that many of the new airline security measure (though by no means all) are actually quite effective. A skeptic of much that's promised by highly touted technologies like biometrics, Schneier is also a refreshingly positive, problem-solving force in the often self-dramatizing and fear-mongering world of security pundits. Schneier helps the reader to understand the issues at stake, and how to best come to one's own conclusions, including the vast infrastructure we already have in place, and the vaster systems--some useful, others useless or worse--that we're being asked to submit to and pay for. Bruce Schneier is the author of seven books, including Applied Cryptography (which Wired called "the one book the National Security Agency wanted never to be published") and Secrets and Lies (described in Fortune as "startlingly lively...¦[a] jewel box of little surprises you can actually use."). He is also Founder and Chief Technology Officer of Counterpane Internet Security, Inc., and publishes Crypto-Gram, one of the most widely read newsletters in the field of online security.

Werner Heisenberg's genius and his place at the forefront of modern physics are unquestioned. His decision to remain in Germany throughout the Third Reich and his role in Hitler's atomic bomb project are still topics of heated debate. UNCERTAINTY is David Cassidy's compelling portrait of this brilliant, ambitious, and controversial scientist. It is the definitive Heisenberg biography, as well as a striking evocation of the development of quantum physics, the rise of Nazism, and the dawn of the atomic age.

Innovation is how businesses stay ahead of the competition and adapt to market conditions that change in unpredictable and uncertain ways. In the first decade of the twenty-first century, high-end cuisine underwent a profound transformation. Once an industry that prioritized consistency and reliability, it turned into one where constant change was a competitive necessity. A top restaurant’s reputation and success have become so closely bound up with its ability to innovate that a new organizational form, the culinary research and development team, has emerged. The best of these R&D teams continually expand the frontiers of food—they invent a constant stream of new dishes, new cooking processes and methods, and even new ways of experiencing food. How do they achieve this nonstop novelty? And what can culinary research and development teach us about how organizations innovate? Vaughn Tan opens up the black box of elite culinary R&D to provide essential insights. Drawing on years of unprecedented access to the best and most influential culinary R&D teams in the world, he reveals how they exemplify what he calls the uncertainty mindset. Such a mindset intentionally incorporates uncertainty into organization design rather than simply trying to reduce risk. It changes how organizations hire, set goals, and motivate team members and leads organizations to work in highly unconventional ways. A revelatory look at the R&D kitchen, The Uncertainty Mindset upends conventional wisdom about how to organize for innovation and offers practical insights for businesses trying to become innovative and adaptable.

The gripping, entertaining, and vividly-told narrative of a radical discovery that sent shockwaves through the scientific community and forever changed the way we understand the world. Werner Heisenberg’s “uncertainty principle” challenged centuries of scientific understanding, placed him in direct opposition to Albert Einstein, and put Niels Bohr in the middle of one of the most heated debates in scientific history. Heisenberg’s theorem stated that there were physical limits to what we could know about sub-atomic particles; this “uncertainty” would have shocking implications. In a riveting and lively account, David Lindley captures this critical episode and explains one of the most important scientific discoveries in history, which has since transcended the boundaries of science and influenced everything from literary theory to television.

Tama Kieves--inspirational coach, career transition expert and author of Inspired & Unstoppable--guides you through life's uncertain times, helping you discover the blessings within difficulties. Tama Kieves knows a thing or two about dramatic changes. After graduating from Harvard Law School with honors, Tama left an unfulfilling life at a prestigious corporate law firm to pursue her passion and make a name for herself as a writer and inspirational speaker. Now, she dedicates her time to helping people face their fears, tackle uncertainty, and shift their mindset to achieve the extraordinary in their own lives. This book isn't just about getting through life changes, it'll teach you to use that change and uncertainty as a launching pad for joy. Thriving Through Uncertainty proves that the moment your plans fall apart is precisely when your true destiny begins. With Tama's guidance, you can take hold of the blessings and opportunities hidden within uncertain transitional periods and begin to move forward. Weaving together practical exercises and techniques along with anecdotes from Tama's own experiences, you'll master key lessons like: -How to control your mindset and mood to stay focused and happy -Having faith in yourself and your journey -Allowing yourself to feel pain and discomfort -Continuing to thrive through future obstacles, and much more. Packed with heartfelt and dynamic guidance, this supportive, inspiring book will make you feel as if you've attended several sessions with Tama herself.

Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure!—Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied

The subject of data fitting bridges many disciplines, especially those traditionally dealing with statistics like physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields like computer vision. This book addresses itself to engineers and computer scientists or corresponding undergraduates who are interested in data fitting by the method of least-squares approximation, but have no or only limited pre-knowledge in this field. Experienced readers will find in it new ideas or might appreciate the book as a useful work of reference. Familiarity with basic linear algebra is helpful though not essential as the book includes a self-contained introduction and presents the method in a logical and accessible fashion. The primary goal of the text is to explain how data fitting via least squares works. The reader will find that the emphasis of the book is on practical matters, not on theoretical problems. In addition, the book enables the reader to design own software implementations with application-specific model functions based on the comprehensive discussion of several examples. The text is accompanied with working source code in ANSI-C for fitting with weighted least squares including outlier detection. Among others the book covers following topics * fitting of linear and nonlinear functions with one- or multi-dimensional variables * weighted least-squares * outlier detection * evaluation of the fitting results * different optimisation strategies * combined fitting of different model functions * total least-squares approach with multi-dimensional conditions