When Elon Musk was a kid in South Africa, he was regularly beaten by bullies. One day a group pushed him down some concrete steps and kicked him until his face was a swollen ball of flesh. He was in the hospital for a week. But the physical scars were minor compared to the emotional ones inflicted by his father, an engineer, rogue, and charismatic fantasist.

Game theory means rigorous strategic thinking. It’s the art of anticipating your opponent’s next moves, knowing full well that your rival is trying to do the same thing to you. Though parts of game theory involve simple common sense, much is counterintuitive, and it can only be mastered by developing a new way of seeing the world. Using a diverse array of rich case studies - from pop culture, TV, movies, sports, politics, and history - the authors show how nearly every business and personal interaction has a game-theory component to it.

We live in a world that’s obsessed with talent. We celebrate gifted students in school, natural athletes in sports, and child prodigies in music. But admiring people who start out with innate advantages leads us to overlook the distance we ourselves can travel. We underestimate the range of skills that we can learn and how good we can become. We can all improve at improving. And when opportunity doesn’t knock, there are ways to build a door.

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

“Scale” has become a favored buzzword in the startup world. But scale isn't just about accumulating more users or capturing more market share. It's about whether an idea that takes hold in a small group can do the same in a much larger one. Translating an idea into widespread impact, says University of Chicago economist John A. List, depends on one thing only: whether it can achieve “high voltage”—the ability to be replicated at scale. In The Voltage Effect, List explains that scalable ideas share a common set of attributes, while any number of attributes can doom an unscalable idea.

Algorithms and apps analyze data and tell you how to beat the traffic, what books to buy, what music to listen to, and even who to date—often with great results. But what do you do when you face the big decisions of life—the "wild problems" of who to marry, whether to have children, where to move, how to forge a life well-lived—that can’t be solved by measurement or calculation? In Wild Problems, beloved host of EconTalk Russ Roberts offers puzzled rationalists a way to address these wild problems.

Tony Fadell led the teams that created the iPod, iPhone and Nest Learning Thermostat and learned enough in 30+ years in Silicon Valley about leadership, design, startups, Apple, Google, decision-making, mentorship, devastating failure and unbelievable success to fill an encyclopedia.

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.

Getting to Yes is a straightorward, universally applicable method for negotiating personal and professional disputes without getting taken - and without getting angry. It offers a concise, step-by-step, proven strategy for coming to mutually acceptable agreements in every sort of conflict - whether it involves parents and children, neighbors, bosses and employees, customers or corporations, tenants or diplomats.

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.

What made a prominent conspiracy-theorist YouTuber finally see that 9/11 was not a hoax? Can you finally have a productive conversation about politics with your uncle at the next family gathering? How does an ordinary person find the courage to leave a cult? Can widespread social change only take place when a generation dies out?

In Quit, Duke teaches you how to get good at quitting. Drawing on stories from elite athletes like Mount Everest climbers, founders of leading companies like Stewart Butterfield, the CEO of Slack, and top entertainers like Dave Chappelle, Duke explains why quitting is integral to success, as well as strategies for determining when to hold 'em, and when to fold 'em, that will save you time, energy, and money.

You were born influential. But then you were taught to suppress that power, to follow the rules, to wait your turn, to not make waves. Award-winning Yale professor Zoe Chance will show you how to rediscover the superpower that brings great ideas to life. Influence doesn’t work the way you think because you don’t think the way you think. Move past common misconceptions—such as the idea that asking for more will make people dislike you—and understand why your go-to negotiation strategies are probably making you less influential.

Innovations rarely come from “experts.” Elon Musk was not an “electric car person” before he started Tesla. When it comes to improbable innovations, a legendary tech VC told Sebastian Mallaby, the future cannot be predicted, it can only be discovered. It is the nature of the venture-capital game that most attempts at discovery fail, but a very few succeed at such a scale that they more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC business, all of Silicon Valley, the wider tech sector, and, by extension, the world.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.