From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of DeepMind, part of Google, Mustafa Suleyman has been at the center of this revolution. The coming decade, he argues, will be defined by this wave of powerful new technologies.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

Homer’s Iliad and Odyssey are unquestionably two of the greatest epic masterpieces in Western literature. Though more than 2,700 years old, their stories of brave heroics, capricious gods, and towering human emotions are vividly timeless. The Iliad can justly be called the world’s greatest war epic. The terrible and long-drawn-out siege of Troy remains one of the classic campaigns. The Odyssey chronicles the many trials and adventures Odysseus must pass through on his long journey home from the Trojan wars to his beloved wife.

As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

America is undergoing a massive experiment: It is moving, in fits and starts, toward a multiracial democracy, something few societies have ever done. But the prospect of change has sparked an authoritarian backlash that threatens the very foundations of our political system. Why is democracy under assault here, and not in other wealthy, diversifying nations? And what can we do to save it?

These Are the Plunderers traces the thirty-year history of corporate takeovers in America and private equity’s increasing dominance. Morgenson and Rosner investigate some of the biggest names in private equity, exposing how they buy companies, load them with debt, and then bleed them of assets and profits. All while prosecutors and regulators stand idly by.

Michael Shellenberger has been fighting for a greener planet for decades. He helped save the world’s last unprotected redwoods. He co-created the predecessor to today’s Green New Deal. And he led a successful effort by climate scientists and activists to keep nuclear plants operating, preventing a spike of emissions. But in 2019, as some claimed "billions of people are going to die", contributing to rising anxiety, including among adolescents, Shellenberger decided that he needed to speak out to separate science from fiction.

From the creation of the first encyclopedia to Wikipedia, from ancient museums to modern kindergarten classes—this is Simon Winchester’s brilliant and all-encompassing look at how humans acquire, retain, and pass on information and data, and how technology continues to change our lives and our minds. Throughout this fascinating tour, Winchester forces us to ponder what rational humans are becoming. What good is all this knowledge if it leads to lack of thought? What is information without wisdom?

For much of history, societies have violently oppressed ethnic, religious, and sexual minorities. It is no surprise that many who passionately believe in social justice came to believe that members of marginalized groups need to take pride in their identity to resist injustice.

Twenty-five years ago, Neil Howe and the late William Strauss dazzled the world with a provocative new theory of American history. Looking back at the last 500 years, they’d uncovered a distinct pattern: modern history moves in cycles, each one lasting roughly 80 to 100 years, the length of a long human life, with each cycle composed of four eras—or “turnings”—that always arrive in the same order and each last about 25 years. The last of these eras—the fourth turning—was always the most perilous, a period of civic upheaval and national mobilization.

Two leading authorities—an acclaimed historian and the outstanding battlefield commander and strategist of our time—collaborate on a landmark examination of war since 1945. Conflict is both a sweeping history of the evolution of warfare up to Putin’s invasion of the Ukraine, and a penetrating analysis of what we must learn from the past—and anticipate in the future—in order to navigate an increasingly perilous world.

The United States, the richest country on earth, has more poverty than any other advanced democracy. Why? Why does this land of plenty allow one in every eight of its children to go without basic necessities, permit scores of its citizens to live and die on the streets, and authorize its corporations to pay poverty wages?

On January 28, 1742, a ramshackle vessel of patched-together wood and cloth washed up on the coast of Brazil. Inside were thirty emaciated men, barely alive, and they had an extraordinary tale to tell. They were survivors of His Majesty’s Ship the Wager, a British vessel that had left England in 1740 on a secret mission during an imperial war with Spain. While the Wager had been chasing a Spanish treasure-filled galleon known as “the prize of all the oceans,” it had wrecked on a desolate island off the coast of Patagonia.

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new audiobook, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers.

Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights.

A fascinating guided tour of the complex, fast-moving, and influential world of algorithms - what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola.

Our increasing reliance on technology and the Internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy, what interests us, they can begin to predict our daily habits, and increasingly we are relinquishing our decision making to algorithms - are we giving up this up too easily?

In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills - and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected.

The widening gap between rich and poor means dealing with one big, uncomfortable truth: If you're not at the top, you're at the bottom. The global labor market is changing radically thanks to growth at the high end and the low. About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.

Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed, or why. It's time we change that. Many of the services we rely on are full of oversights, biases, and downright ethical nightmares. Chatbots that harass women. Signup forms that fail anyone who's not straight. Social media sites that send peppy messages about dead relatives. Algorithms that put more black people behind bars.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

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.

From terror attacks to the War on Terror, bursting real-estate bubbles to crystal meth epidemics, sexual predators to poisonous toys from China, our list of fears seems to be exploding. And yet, we are the safest and healthiest humans in history. Irrational fear is running amok, and often with tragic results. In the months after 9/11, when people decided to drive instead of fly - believing they were avoiding risk - road deaths rose by 1,595. Those lives were lost to fear.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.

While today’s business world is dominated by technology and data analysis, award-winning financial journalist and anthropology PhD Gillian Tett advocates thinking like an anthropologist to better understand consumer behavior, markets, and organizations to address some of society’s most urgent challenges.

In this groundbreaking work, Tim Harford shows us a new and inspiring approach to solving the most pressing problems in our lives. Harford argues that today’s challenges simply cannot be tackled with ready-made solutions and expert opinions; the world has become far too unpredictable and profoundly complex. Instead, we must adapt. Deftly weaving together psychology, evolutionary biology, anthropology, physics, and economics, along with compelling stories of hard-won lessons learned in the field, Harford makes a passionate case for the importance of adaptive trial-and-error....