When confronted with an ethical dilemma, most of us like to think we would stand up for our principles. But we are not as ethical as we think we are. In Blind Spots, leading business ethicists Max Bazerman and Ann Tenbrunsel examine the ways we overestimate our ability to do what is right and how we act unethically without meaning to.

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 it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, and big data alone don't work. What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments? They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book.

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”.

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.

We used to think of failure as the opposite of success. Now, we’re often torn between two “failure cultures”: one that says to avoid failure at all costs, the other that says fail fast, fail often. The trouble is that both approaches lack the crucial distinctions to help us separate good failure from bad. As a result, we miss the opportunity to fail well. After decades of award-winning research, Amy Edmondson is here to upend our understanding of failure and make it work for us. In Right Kind of Wrong, Edmondson provides the framework to think, discuss, and practice failure wisely.

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.

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

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.

From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

There used to be two teams in every workplace: management and labor. Now there’s a third team, the linchpins. These people invent, lead (regardless of title), connect others, make things happen, and create order out of chaos. They figure out what to do when there’s no rule book. They delight and challenge their customers and peers. They love their work, pour their best selves into it, and turn each day into a kind of art.

Although software has become easier to build, launching and scaling new products and services remains difficult. Start-ups face daunting challenges entering the technology ecosystem, including stiff competition, copycats, and ineffective marketing channels. Teams launching new products must consider the advantages of “the network effect”, where a product or service’s value increases as more users engage with it. Apple, Google, Microsoft, and other tech giants utilize network effects, and most tech products incorporate them.

Forty years ago Israeli psychologists Daniel Kahneman and Amos Tversky wrote a series of breathtakingly original studies undoing our assumptions about the decision-making process. Their papers showed the ways in which the human mind erred systematically when forced to make judgments about uncertain situations. Their work created the field of behavioral economics, revolutionized Big Data studies, advanced evidence-based medicine, led to a new approach to government regulation, and made Michael Lewis' work possible.

A bold call to reexamine how our government operates—and sometimes fails to—from President Obama’s former deputy chief technology officer and the founder of Code for America.

This reissue of Thomas Sowell’s classic study of decision making, which includes a preface by the author, updates his seminal work in the context of The Vision of the Anointed. Sowell, one of America’s most celebrated public intellectuals, describes in concrete detail how knowledge is shared and disseminated throughout modern society. He warns that society suffers from an ever-widening gap between firsthand knowledge and decision making—a gap that threatens not only our economic and political efficiency but our very freedom.