When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

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.

The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.

When turmoil hits, executives and investors face notoriously unreliable macroeconomic forecasts, whipsawing data, and contradictory opinions. Are disruptions transient and ephemeral-or permanent and structural? False alarms are costly traps, but so are true structural changes that go undetected. Leaders must also assess the doom-laden public macroeconomic discourse, which habitually presents worst-case scenarios as foregone conclusions.

The ways that statisticians and governments measure the economy were developed in the 1940s, when the urgent economic problems were entirely different from those of today. In The Measure of Progress, Diane Coyle argues that the framework underpinning today's economic statistics is so outdated that it functions as a distorting lens, or even a set of blinkers. When policymakers rely on such an antiquated conceptual tool, how can they measure, understand, and respond with any precision to what is happening in today's digital economy?

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

In The Road to Freedom, Nobel prize winner Joseph E. Stiglitz dissects America's current economic system and the political ideology that created it, laying bare their twinned failure. Free and unfettered markets have exploited consumers, workers, and the environment alike. These movements now pose a real threat to true economic and political freedom.

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.

Drawing in part on his own experiences, including with policymakers and world leaders, Kenneth Rogoff animates the remarkable postwar run of the dollar—how it beat out the Japanese yen, the Soviet ruble, and the euro—and the challenges it faces today from crypto and the Chinese yuan, the end of reliably low inflation and interest rates, political instability, and the fracturing of the dollar bloc.

Writing in response to the growing anti-Chinese sentiment and alarmed by the threat of war, Dr. David Daokui Li pulls from his wealth of firsthand experience to demystify contemporary Chinese society and advocate for understanding between China and the West. In this urgently needed and fascinating book, he explains the inner workings of a rising superpower to help the world understand how it works-and how to work with it.

Why has war been such a consistent presence throughout the human past? A leading historian explains, drawing on rich examples and keen insight. Richard Overy is not the first scholar to take up the title question. In 1931, at the request of the League of Nations, Albert Einstein asked Sigmund Freud to collaborate on a short work examining whether there was "a way of delivering mankind from the menace of war." Published the next year as a pamphlet entitled Why War?, it conveyed Freud's conclusion that the "death drive" made any deliverance impossible.

Chasing chocolate down the supply chain and back through history, Jacobsen travels the rainforests of the Amazon and Central America to find the chocolate makers, activists, and indigenous leaders who are bucking the system that long ago abandoned wild and heirloom cacao in favor of high-yield, low-flavor varietals preferred by Big Chocolate.

We are entering a new era of global cataclysm in which the world faces a deadly mix of war, climate change, great power rivalry, rapid technological advancement, the end of both monarchy and empire, and countless other dangers. In Waste Land, Robert D. Kaplan, geopolitical expert and author of more than twenty books on world affairs, incisively explains how we got here and where we are going.

This book is geared to the average citizen with little or no economics background who would like the tools to think critically about economic issues. Many of today's economic issues are obscured by their inherent complexity and the often confusing and conflicting views coming from political talking heads. Sowell, a leading conservative economist and senior fellow at the Hoover Institution, seeks to alleviate this confusion.

Thomas Piketty’s best-selling Capital in the Twenty-First Century galvanized global debate about inequality. In this audacious follow-up, Piketty challenges us to revolutionize how we think about politics, ideology, and history. He exposes the ideas that have sustained inequality for the past millennium, reveals why the shallow politics of right and left are failing us today, and outlines the structure of a fairer economic system.

When turmoil hits, executives and investors face notoriously unreliable macroeconomic forecasts, whipsawing data, and contradictory opinions. Are disruptions transient and ephemeral-or permanent and structural? False alarms are costly traps, but so are true structural changes that go undetected. Leaders must also assess the doom-laden public macroeconomic discourse, which habitually presents worst-case scenarios as foregone conclusions.

In this remarkably clear and companionable audiobook, leading complex systems scientist Melanie Mitchell provides an intimate tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals.

Expectations Investing offers a unique and powerful alternative for identifying value-price gaps. Rappaport and Mauboussin provide everything the listener needs to utilize the discounted cash flow model successfully. And they add an important twist: They suggest that rather than forecasting cash flows, investors should begin by estimating the expectations embedded in a company's stock price.

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.

Fritjof Capra, scientist, educator, activist, and accomplished author, presents the evolution of his thought over five decades in Patterns of Connection. First introduced in the late 1950s to the work of Werner Heisenberg, a founder of quantum mechanics, Capra quickly intuited the connections between the discoveries of quantum physics and the traditions of Eastern philosophy - resulting in his first book, the best-selling The Tao of Physics.

In Fluke, myth-shattering social scientist Brian Klaas takes a deep-dive into the phenomenon of random chance and the chaos it can sow, taking aim at most people’s neat and tidy version of reality. The book’s argument is that we willfully ignore a bewildering truth: but for a few small changes, our lives—and our societies—could be radically different.

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five “breakthroughs” in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.