In the age of Big Data we often believe that our predictions about the future are better than ever before. But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and considering less information. In Risk Savvy, Gigerenzer reveals that most of us, including doctors, lawyers, financial advisers, and elected officials, misunderstand statistics much more often than we think, leaving us not only misinformed, but vulnerable to exploitation.

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.

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.

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.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Plenty of books dwell on the faults in our decision-making or offer advice on how to make better choices. The Elements of Choice goes one step further and explains how we can design better end-to-end decision-making processes. Going well beyond the familiar concepts of nudges and defaults, Eric J. Johnson offers a comprehensive, systematic guide to creating effective choice architectures, the environments in which decisions are made.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

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.

Life is full of uncertainty. You don't know what lies ahead. But you can learn to control the controllable by using logic and reason. With the help of this book, you'll discover new ways to think about - and solve - problems more efficiently than ever before. Discover how strategic games model real-life behavior.

Big decisions are hard. We consult friends and family, make sense of confusing “expert” advice online, maybe we read a self-help book to guide us. In the end, we usually just do what feels right, pursuing high stakes self-improvement—such as who we marry, how to date, where to live, what makes us happy—based solely on what our gut instinct tells us. But what if our gut is wrong? Biased, unpredictable, and misinformed, our gut, it turns out, is not all that reliable. And data can prove this.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Many people take math in high school and promptly forget much of it. But math plays a part in all of our lives all of the time, whether we know it or not. In The Joy of x, Steven Strogatz expands on his hit New York Times series to explain the big ideas of math gently and clearly, with wit, and insight.

Wired called Dr. Fei-Fei Li “one of a tiny group of scientists—a group perhaps small enough to fit around a kitchen table—who are responsible for AI’s recent remarkable advances.” Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. The Worlds I See is the moving memoir of a scientist coming of age as an immigrant in America who finds her calling at the forefront of the AI revolution.

In the beginning was the loan, and the loan carried interest. For at least five millennia people have been borrowing and lending at interest. Yet as capitalism became established from the late Middle Ages onwards, denunciations of interest were tempered because interest was a necessary reward for lenders to part with their capital. And interest performs many other vital functions: it encourages people to save; enables them to place a value on precious assets, such as houses and all manner of financial securities; and allows us to price risk.

In the 21st century, humanity is reaching new heights of scientific understanding - and at the same time appears to be losing its mind. How can a species that developed vaccines for COVID-19 in less than a year produce so much fake news, medical quackery, and conspiracy theorizing? Pinker rejects the cynical cliché that humans are an irrational species - cavemen out of time saddled with biases, fallacies, and illusions.