Since the original publication of Nudge more than a decade ago, the title has entered the vocabulary of businesspeople, policy makers, engaged citizens, and consumers everywhere. The book has given rise to more than 200 "nudge units" in governments around the world and countless groups of behavioral scientists in every part of the economy. It has taught us how to use thoughtful "choice architecture" - a concept the authors invented - to help us make better decisions for ourselves, our families, and our society.

The guru to the gurus at last shares his knowledge with the rest of us. Nobel laureate Daniel Kahneman's seminal studies in behavioral psychology, behavioral economics, and happiness studies have influenced numerous other authors, including Steven Pinker and Malcolm Gladwell. In Thinking, Fast and Slow, Kahneman at last offers his own, first book for the general public. It is a lucid and enlightening summary of his life's work. It will change the way you think about thinking. Two systems drive the way we think and make choices, Kahneman explains....

A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear less random, and more predictable, than it was. The astonishing success of Google was a black swan; so was 9/11. For Nassim Nicholas Taleb, black swans underlie almost everything about our world, from the rise of religions to events in our own personal lives. Elegant, startling, and universal in its applications, The Black Swan will change the way you look at the world.

Richard H. Thaler has spent his career studying the radical notion that the central agents in the economy are humans - predictable, error-prone individuals. Misbehaving is his arresting, frequently hilarious account of the struggle to bring an academic discipline back down to earth - and change the way we think about economics, ourselves, and our world.

"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.

This audiobook is about luck, or more precisely, how we perceive and deal with luck in life and business. It is already a landmark work, and its title has entered our vocabulary. In its second edition, Fooled by Randomness is now a cornerstone for anyone interested in random outcomes.

Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.

Malcolm Gladwell, author of New York Times best sellers including Talking to Strangers and host of the podcast Revisionist History, uses original interviews, archival footage, and his trademark insight to weave together the stories of a Dutch genius and his homemade computer, a band of brothers in Central Alabama, a British psychopath, and pyromaniacal chemists at Harvard. As listeners hear these stories unfurl, Gladwell examines one of the greatest moral challenges in modern American history.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Every day, we make decisions on topics ranging from personal investments to schools for our children to the meals we eat to the causes we champion. Unfortunately, we often choose poorly. The reason, the authors explain, is that, being human, we are all susceptible to various biases that can lead us to blunder. Our mistakes make us poorer and less healthy; we often make bad decisions involving education, personal finance, health care, mortgages and credit cards, the family, and even the planet itself.

What do you do when you're faced with a big decision? If you're like most people, you probably make a pro and con list, spend a lot of time obsessing about decisions that didn't work out, get caught in analysis paralysis, endlessly seek other people's opinions to find just that little bit of extra information that might make you sure, and finally go with your gut.

A clear, practical, first-of-its-kind guide to communicating and understanding numbers and data - from best-selling business author Chip Heath.

Everyone knows that timing is everything. But we don't know much about timing itself. Our lives are a never-ending stream of "when" decisions: when to start a business, schedule a class, get serious about a person. Yet we make those decisions based on intuition and guesswork. Timing, it's often assumed, is an art. In When: The Scientific Secrets of Perfect Timing, Pink shows that timing is really a science.

Change comes most readily when you understand what's standing between you and success and tailor your solution to that roadblock. If you want to work out more but find exercise difficult and boring, downloading a goal-setting app probably won't help. But what if, instead, you transformed your workouts so they became a source of pleasure instead of a chore? Turning an uphill battle into a downhill one is the key to success.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.