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.

We pile on “to-dos” but don’t consider “stop-doings”. We create incentives for good behavior, but don’t get rid of obstacles to it. We collect new-and-improved ideas, but don’t prune the outdated ones. Every day, across challenges big and small, we neglect a basic way to make things better: We don’t subtract. Leidy Klotz’s pioneering research shows why. 

The world's greatest problem-solvers, forecasters, and decision-makers all rely on a set of frameworks and shortcuts that help them cut through complexity and separate good ideas from bad ones. They're called mental models, and you can find them in dense textbooks on psychology, physics, economics, and more. Or, you can just listen to Super Thinking, a fun, illustrated guide to every mental model you could possibly need.

Intelligence is usually seen as the ability to think and learn, but in a rapidly changing world, there's another set of cognitive skills that might matter more: the ability to rethink and unlearn. In our daily lives, too many of us favor the comfort of conviction over the discomfort of doubt. We listen to opinions that make us feel good, instead of ideas that make us think hard. We see disagreement as a threat to our egos, rather than an opportunity to learn.

Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on start-ups, comparing billion-dollar start-ups with those that failed to become one - 30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected.  

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.

Gravity affects every aspect of our physical being, but there’s a psychological force just as powerful - yet almost nobody has heard of it. It’s responsible for bringing groups of people together and pulling them apart, making certain goals attractive to some and not to others, and fueling cycles of anxiety and conflict. In Wanting, Luke Burgis draws on the work of French polymath René Girard to bring this hidden force to light and reveals how it shapes our lives and societies.  

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.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world. 

Most of what we know about how ideas spread comes from best-selling authors who give us a compelling picture of a world, in which "influencers" are king, "sticky" ideas "go viral", and good behavior is "nudged" forward. The problem is that the world they describe is a world where information spreads, but beliefs and behaviors stay the same. When it comes to lasting change in what we think or the way we live, the dynamics are different: beliefs and behaviors are not transmitted from person to person in the simple way that a virus is. 

From legendary investor Ray Dalio, author of the number-one New York Times best seller Principles, who has spent half a century studying global economies and markets, Principles for Dealing with the Changing World Order examines history’s most turbulent economic and political periods to reveal why the times ahead will likely be radically different from those we’ve experienced in our lifetimes - and to offer practical advice on how to navigate them well. 

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order. 

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.  

If you're like most people, geometry is a dimly remembered exercise you gladly left behind in the dust of ninth grade. It's plodding through a series of miniscule steps only to prove some fact about triangles that was obvious to you in the first place. That's not geometry. Okay, it is geometry, but only a tiny part, which has as much to do with geometry in all its flush modern richness as conjugating a verb has to do with a great novel. Shape reveals the geometry underneath some of the most important scientific, political, and philosophical problems we face.

For generations, we’ve been taught there are two ways to succeed - either from talent or practice. In Decoding Greatness, award-winning social psychologist Ron Friedman illuminates a powerful third path - one that has quietly launched icons in a wide range of fields, from artists, writers, and chefs, to athletes, inventors, and entrepreneurs: reverse engineering.