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 30. 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, investigating how we can distinguish a true signal from a universe of noisy data.

A New York Times bestselling author and leading expert on market risk argues that seismic shifts in the global economy will trigger a multi-trillion-dollar migration of wealth, tracing the fateful decisions that created this crisis—and outlines new rules of investing for the forward-thinking.

Renowned statistician David Spiegelhalter shows how we can become better at dealing with what we don't know to make smarter choices in a world so full of puzzling variables. In lucid, lively prose, Spiegelhalter guides us through the principles of probability, illustrating how they can help us think more analytically about everything from medical advice to sports to climate change forecasts.

To trace the history of the twenty-first century so far is to trace a history of unaffordability and shortage. After years of refusing to build sufficient housing, America has a national housing crisis. After years of limiting immigration, we don’t have enough workers. Despite decades of being warned about the consequences of climate change, we haven’t built anything close to the clean-energy infrastructure we need. Ambitious public projects are finished late and over budget—if they are ever finished at all.

In this unique exploration of the role of risk in our society, Peter Bernstein argues that the notion of bringing risk under control is one of the central ideas that distinguishes modern times from the distant past. Against the Gods chronicles the remarkable intellectual adventure that liberated humanity from oracles and soothsayers by means of the powerful tools of risk management that are available to us today.

As Wall Street swooned and boomed through the last decade, our livelihoods have—now more than ever—come to rely upon the good sense and risk appetites of a few standout investors. And amidst the BlackRocks, Vanguards, and Berkshire Hathaways stands arguably the most iconoclastic of them all: SoftBank’s Masayoshi Son. In Gambling Man, the first Western biography of Son, the self-professed unicorn hunter, we go behind the scenes of the world’s most monied halls of power in New York, Tokyo, Silicon Valley, Saudi Arabia, and beyond.

Ray Dalio does not want you to listen to this audiobook. Late last year, when the billionaire founder of Bridgewater Associates, the largest hedge fund on the planet, announced that he was stepping down from the company he started out of his apartment nearly 50 years ago, the news made headlines around the world. Dalio cultivated an aura of international admiration and fame thanks to his company’s eye-popping success, coupled with a mystique he encouraged with frequent media appearances, celebrity hobnobbing, and his bestselling book, Principles.

A successful Wall Street trader turned Cambridge neuroscientist reveals the biology of boom and bust and how risk taking transforms our body chemistry, driving us to extremes of euphoria and risky behavior or stress and depression. The laws of financial boom and bust, it turns out, have more than a little to do with male hormones. In a series of groundbreaking experiments, Dr. John Coates identified a feedback loop between testosterone and success that dramatically lowers the fear of risk.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

A timely investigation of the causes of technological and scientific stagnation, and a radical blueprint for accelerating innovation. From the Moon landing to the dawning of the atomic age, the decades prior to the 1970s were characterized by the routine invention of transformative technologies at breakneck speed. By comparison, ours is an age of stagnation. Median wage growth has slowed, inequality and income concentration are on the rise, and scientific research has become increasingly expensive and incremental.

How Countries Go Broke shows how debt problems are related to the other forces—political within countries, geopolitical between countries, natural (droughts, floods, and pandemics), and technological (most importantly, AI)—that together are causing what Dalio calls the “Overall Big Cycle” changes in the world order. By listening this audiobook, you will improve your understanding of what’s happening now and what to do about it.

At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?

In his first book for a general audience, Mandelbrot, with co-author Richard L. Hudson, shows how the dominant way of thinking about the behavior of markets-a set of mathematical assumptions a century old and still learned by every MBA and financier in the world-simply does not work. As he did for the physical world in his classic The Fractal Geometry of Nature, Mandelbrot here uses fractal geometry to propose a new, more accurate way of describing market behavior.

The first inside account of life within a Silicon Valley venture capital firm, eBoys is the fascinating true story of the six tall men who backed eBay, Webvan, and other billion-dollar start-ups that are transforming the Internet and setting a new pace for the economy - an audible.com audio exclusive!

Roger Lowenstein, the bestselling author of Buffett, captures Long-Term's roller-coaster ride in gripping detail. Drawing on confidential internal memos and interviews with dozens of key players, Lowenstein crafts a story that reads like a first-rate thriller from beginning to end. He explains not just how the fund made and lost its money, but what it was about the personalities of Long-Term's partners, the arrogance of their mathematical certainties, and the late-nineties culture of Wall Street that made it all possible.

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 30. 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, investigating how we can distinguish a true signal from a universe of noisy data.

At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?

Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.

In this eye-opening book, renowned economist Alex Edmans teaches us how to separate fact from fiction. Using colorful examples—from a wellness guru's tragic but fabricated backstory to the blunders that led to the Deepwater Horizon disaster to the diet that ensnared millions yet hastened its founder's death—Edmans highlights the biases that cause us to mistake statements for facts, facts for data, data for evidence, and evidence for proof.

Nate Silver es conocido por revolucionar el análisis predictivo aplicado a los deportes, la economía y la política, pero antes de eso se ganaba la vida jugando al póker. En su nuevo libro, Silver parte de su experiencia como jugador para investigar a una comunidad de personas con ideas afines cuyo dominio del riesgo le permite dar forma y dominar gran parte de la vida moderna. Él la llama El Río.

Renowned statistician David Spiegelhalter shows how we can become better at dealing with what we don't know to make smarter choices in a world so full of puzzling variables. In lucid, lively prose, Spiegelhalter guides us through the principles of probability, illustrating how they can help us think more analytically about everything from medical advice to sports to climate change forecasts.

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.

Economic sanctions dominate the landscape of world politics today. First developed in the early twentieth century as a way of exploiting the flows of globalization to defend liberal internationalism, their appeal is that they function as an alternative to war. This view, however, ignores the dark paradox at their core: designed to prevent war, economic sanctions are modeled on devastating techniques of warfare.

An “absorbing, provocative, and far-reaching” (Kirkus Reviews, starred review) look at what power is, who gets it, and what happens when they do, based on over 500 interviews with those who (temporarily, at least) have had the upper hand - from the creator of the Power Corrupts podcast and Washington Post columnist Brian Klaas.

A successful Wall Street trader turned Cambridge neuroscientist reveals the biology of boom and bust and how risk taking transforms our body chemistry, driving us to extremes of euphoria and risky behavior or stress and depression. The laws of financial boom and bust, it turns out, have more than a little to do with male hormones. In a series of groundbreaking experiments, Dr. John Coates identified a feedback loop between testosterone and success that dramatically lowers the fear of risk.

Populist rage, ideological fracture, economic and technological shocks, geopolitical dangers, and an international system studded with catastrophic risk—the early decades of the 21st century may be one of the most revolutionary periods in modern history. But they are not the first. Humans have lived, and thrived, through more than one great realignment. What makes an age a revolutionary one? And how do they end?

Why is the Mona Lisa the most famous painting in the world? Why did Facebook succeed when other social networking sites failed? Did the surge in Iraq really lead to less violence? How much can CEO’s impact the performance of their companies? And does higher pay incentivize people to work hard? If you think the answers to these questions are a matter of common sense, think again.

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.