Here are 84 books that Forewarned fans have personally recommended if you like
Forewarned.
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Accurate and precise forecasting is essential for successful planning and policy from economics to epidemiology. We have been keen to understand why so many forecasts turn out to be highly inaccurate since making dreadful forecasts ourselves, and advising UK government agencies (Treasury, Parliament, Bank of England) during turbulent periods. As simple extrapolation often beats model-based forecasting, we have been developing improved methods that draw on the best aspects of both, and have published more than 60 articles and 6 books attracting more than 6000 citations by other scholars. Our recommended books cover a wide range of forecasting methods—suggesting there is no optimal way to look into the future.
This is a book that brings forecasters down to earth with a bang – we are not all super-forecasters! There is no magic involved in forecasting – seeing into the future is impossible. But Tetlock and Gardner show that good decision-making should be based on a set of guidelines that can be adapted to any situation. The writing is slick, given one of the authors is a science journalist, and it provides salutary reading for any would be practical forecaster.
'A manual for thinking clearly in an uncertain world. Read it.' Daniel Kahneman, author of Thinking, Fast and Slow _________________________ What if we could improve our ability to predict the future?
Everything we do involves forecasts about how the future will unfold. Whether buying a new house or changing job, designing a new product or getting married, our decisions are governed by implicit predictions of how things are likely to turn out. The problem is, we're not very good at it.
In a landmark, twenty-year study, Wharton professor Philip Tetlock showed that the average expert was only…
Accurate and precise forecasting is essential for successful planning and policy from economics to epidemiology. We have been keen to understand why so many forecasts turn out to be highly inaccurate since making dreadful forecasts ourselves, and advising UK government agencies (Treasury, Parliament, Bank of England) during turbulent periods. As simple extrapolation often beats model-based forecasting, we have been developing improved methods that draw on the best aspects of both, and have published more than 60 articles and 6 books attracting more than 6000 citations by other scholars. Our recommended books cover a wide range of forecasting methods—suggesting there is no optimal way to look into the future.
A wonderful read on how weather forecasting has improved so dramatically since Robert Fitzroy’s initial efforts in 1859. The amazing developments in mathematical modelling of the climate and advances in super-computers are excitedly and clearly described, starting from Blum wondering how one week ahead it was possible to forecast that Hurricane Sandy would strike New York.
'Revelatory ... convey[s] the technical brilliance and political significance of an achievement that hides in plain sight' Telegraph
From satellites circling the Earth, to weather stations far out in the ocean, through some of the most ingenious minds and advanced algorithms at work today - In this gripping investigation, Andrew Blum takes us on a global journey. Our destination: the simulated models weather scientists have constructed of our planet, which spin faster than time, turning chaos into prediction, offering glimpses of our future with eerie precision.
This collaborative invention spans the Earth and relies on continuous co-operation between all nations…
Accurate and precise forecasting is essential for successful planning and policy from economics to epidemiology. We have been keen to understand why so many forecasts turn out to be highly inaccurate since making dreadful forecasts ourselves, and advising UK government agencies (Treasury, Parliament, Bank of England) during turbulent periods. As simple extrapolation often beats model-based forecasting, we have been developing improved methods that draw on the best aspects of both, and have published more than 60 articles and 6 books attracting more than 6000 citations by other scholars. Our recommended books cover a wide range of forecasting methods—suggesting there is no optimal way to look into the future.
This is a readable tale of the rise of economic forecasters in the USA during the boom years of the 1920s, and their demise after failing to forecast the `Great Crash of 1929’ and ensuing Great Depression. Roger Babson did forewarn of a crash, but also failed after wrongly repeatedly forecasting an imminent recovery in the early 1930s. It holds many relevant lessons for our turbulent times, emphasizing that the future is always highly uncertain.
The period leading up to the Great Depression witnessed the rise of the economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who defined this first wave of economic fortune tellers, men such as Roger Babson, Irving Fisher, John Moody, C. J. Bullock, and Warren Persons. They competed to sell their distinctive methods of prediction to investors and businesses, and thrived in the boom years that followed World War I. Yet, almost to a man, they…
As a professional statistician, I am naturally interested in AI and data science. However, in our current information age, everyone, in all segments of society, needs to understand the basics of AI and data science. These basics include such things as what these disciplines are, what they can contribute to society, and perhaps most importantly, what can go wrong. However, I have found that much of the literature on these topics is highly technical and beyond the reach of most readers. These books are specifically selected because they are readable by virtually everyone, and yet convey the key concepts needed to be data-literate in the 21st century. Enjoy!
This book, by Nate Silver of 538 fame, explains in a straightforward manner why so many predictions by “experts,” from weather forecasts to sports outcomes to election polling to economics, ultimately prove wrong.
It relates to understanding the “signal,” the underlying science that is often revealed through trends and patterns in data, relative to the “noise,” the random or unpredictable variations always present in data. Silver also explains the concept of conditional probability, probability when provided with some relevant information, in an unusually clear manner.
The book reads more like a casual conversation with the author, rather than a statistics textbook.
UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER
"One of the more momentous books of the decade." —The New York Times Book Review
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight.
Drawing on his own groundbreaking work, Silver examines the world of prediction,…
I found my passion for sustainable mobility while working on my PhD thesis about electric cars at a time when no one was interested in electric cars. I am fascinated by the disruptive forces in the transportation space. With my long-term work experience in management consulting, corporate, academics, and startups, I’m trying to make a contribution to making transport carbon-free.
This book paints a detailed picture of how the future of mobility will look like.
It explains what the hype around electric mobility, autonomous driving, car sharing, and ride-hailing is about. It is a great introduction for everyone who wants to get started in understanding the future of sustainable mobility and carbon-free transport.
Will we really soon no longer be sitting behind the wheel of our own car, but will only be taken to our destination by driverless electric taxis? Should cities introduce car sharing? What role will electric scooters, cable cars or man-carrying drones play in the mobility systems of major cities? This book finally explains in a generally understandable way what is really behind buzzwords such as electric mobility, autonomous driving, digitalization and mobility services such as car sharing or ride-hailing, how far advanced these technologies are today, and above all in what relationships and dependencies they are to each other.…
I received my Ph.D. and J.D. at Berkeley, and my next book Your Call is Very Important to Us: Advertising and the Corporate Theft of Personhood, is forthcoming from Rowman & Littlefield. My research into literary and legal history made me fascinated with how people project hopes and fears onto the social construct of nature. How does one explain the contradictory ways white men imagined they could transcend painful isolation by merging into a nature coded as non-white and female? These fantasies play out in popular culture, e.g. in Avatar, in which men seek the unobtanium they lack: a nature that was always lost/a retroactively-constructed fantasy, and a cover for what it seemed to oppose—finally the corporation.
Pynchon’sAgainst the Day stages a form of pantheism in which everything bears some form of consciousness, which, like nature, has no border. Cyprian considers that “the earth [might be] alive, with a planet-shaped consciousness”; and it is “as if silver were alive, with a soul and a voice.” Pynchon’s characters live in a pantheistic universe in which everything is part of nature and alive—where the wind tries to wake them and the world has a consciousness. Pynchon updates Melville in Mardi, in which, e.g., a character asks, “Think you there is no sensation in being a tree? Think you it is nothing to be a world? [The world of] Mardi is alive to its axis.” In ATD, “the steel webwork was a living organism”; even an “egg yolk [can be] perhaps regarded as a conscious entity.” Consciousness can’t be confined to people: all entities have the potential…
"Rich and sweeping, wild and thrilling." -The Boston Globe
The inimitable Thomas Pynchon has done it again. Hailed as "a major work of art" by The Wall Street Journal, his first novel in almost ten years spans the era between the Chicago World's Fair of 1893 and the years just after World War I and moves among locations across the globe (and to a few places not strictly speaking on the map at all). With a phantasmagoria of characters and…
I’m a storyteller writing on business and technology. I specialize in clear views of complex systems. When Juliette showed me her research on tech companies and AI responsibility, I saw the power of a book – the book that ultimately became The AI Dilemma. The core dilemma is that in the right hands the technology is needed, and in the wrong hands it’s dangerous. When Juliette asked me to coauthor it, I jumped at the chance. As we worked, I realized that the topic brought into focus all the research and thinking I’d ever done about human, organizational, and machine behavior.
This is the book I suggest to people who worry that AI will take their jobs or control the world.
These U of Toronto economists make a case for AI as a disruptor of systems and power structures – not on their own, but because of the decision makers who control them. Those companies won’t necessarily be Alphabet, Amazon, or Meta. Their competitive advantage – access to data – will now be available cheaply.
It’s judgment that’s at a premium now. After reading this, I feel pretty trusting of AI. I’m just not so sure about people.
Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.
Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.
What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet…
Ever since I can remember I’ve been curious about history and how past events connect to our present; And how challenging it is to predict the future, even with all our advanced technologies. In the internet era, everything seems to be changing faster than ever before. I’m no expert, but I do know that if we don’t try to understand all the pieces of this complex puzzle, we’ll never be able to build the future we want. I don’t want to be left behind, so my book is an attempt at understanding the past and outlining a future of investing in people, the most undervalued asset class.
I love this book and try to reread it every couple of years.
This book doesn’t make any specific predictions about the future but instead identifies technological trends that are inevitable.
Trends like accessing, tracking, and sharing, just to name a few. I like to think of the future as an ever-evolving entity that we get to shape. Kelly explains how technology changes in patterns that we can anticipate.
If you feel like the increasing rate of technological change is getting too fast to keep up with, then I recommend reading—and rereading—The Inevitable.
“A quintessential work of technological futurism.” – James Surowiecki, strategy + business, “Best Business Books 2017 – Innovation”
From one of our leading technology thinkers and writers, a guide through the twelve technological imperatives that will shape the next thirty years and transform our lives
Much of what will happen in the next thirty years is inevitable, driven by technological trends that are already in motion. In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to…
I like to say I'm a born-again pedestrian. After a childhood in car-friendly Southern California, I moved first to the San Francisco Bay Area and then to Montreal. There I discovered the pleasures of living in walkable cities, and over the years I've explored them in a series of books about people, nature, and urban spaces in which the problems of spread-out, concrete-heavy cities take a front-row seat. The impact of the way we've built our cities over the last 100 years is becoming apparent, as carbon dioxide rises, driving climate changes. We must change the way we live, and the books I suggest give some insights about what to do and what not to do.
Read this book if you care about cities. True, you may want to throw it across the room at times (I did), but it is one of the most influential books of the 20th century and you should know your enemies. Written shortly after World War I when automobiles were beginning to clog streets, its author Le Corbusier had good intentions. He thought narrow crowded streets should be replaced by apartment towers set on green lawns. He used concrete boldly, opened up the interiors of buildings so light could flood in, and insisted that residences be far away from industry and commerce. But while the model can work for luxury housing, it doesn't work when neighborhoods are destroyed to build these high-rise blocks, and separating work from home by automobile-only roads means urban sprawl.
In this 1929 classic, the great architect Le Corbusier turned from the design of houses to the planning of cities, surveying urban problems and venturing bold new solutions. The book shocked and thrilled a world already deep in the throes of the modern age. Today it is revered as a work that, quite literally, helped to shape our world. Le Corbusier articulates concepts and ideas he would put to work in his city planning schemes for Algiers, São Paulo, Rio de Janeiro, Buenos Aires, Barcelona, Geneva, Stockholm, and Antwerp, as well as schemes for a variety of structures from a…
Living in the American Embassy in Moscow as a teenager during the Cold War, I grew up keenly aware of the perils of global instability and nuclear war. While friends back home worried about how to buy a car or score a date, I wandered the streets of Moscow, often tailed by the KGB, hoping US nuclear missiles didn’t launch our way. So, I’ve always been interested in big questions of how to avoid wars, and how to end them. Since then, I’ve traveled the world, worked in both government and academe, advised senior national and international policymakers, and become an award-winning author.
Sir Lawrence Freedman sets the standard for erudite but accessible writing about strategy, and this is another wonderful book. It analyzes how smart people in many historical settings have predicted the future of war, and why their predictions then succeeded or failed. The broader political, economic, or social context was often more important than popular concepts of the day—things like short war, decisive battle, the “RMA,” or revolutionary technology. Freedman also reminds us that influential analyses of war’s future change how that future unfolds. Reading this book helped me see beyond popular predictions, to be more discerning about change and continuity.
For as long as there have been wars there have been fears about the next war. Where are the new dangers? What is the best defence? How might peace come about? This is the history of how over the last 150 years we have tried - rightly and wrongly - to predict war's future.
'Britain's leading academic strategist ... read this book' Economist
'Insightful and opinionated ... expertly covers centuries of evolving mayhem' Gary J. Bass, The New York Times
'A bonfire of predictions ... Freedman's purpose in this wise book is to discern patterns in the way we have…
