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.

With authoritative reporting honed through eight presidencies from Nixon to Obama, author Bob Woodward reveals in unprecedented detail the harrowing life inside President Donald Trump’s White House and precisely how he makes decisions on major foreign and domestic policies. Woodward draws from hundreds of hours of interviews with firsthand sources, meeting notes, personal diaries, files, and documents. The focus is on the explosive debates and the decision-making in the Oval Office, the Situation Room, Air Force One, and the White House residence.

SuperFreakonomics challenges the way we think all over again, exploring the hidden side of everything with such questions as: How is a street prostitute like a department-store Santa? What do hurricanes, heart attacks, and highway deaths have in common? Can eating kangaroo save the planet? Levitt and Dubner mix smart thinking and great storytelling like no one else.

"The election happened," remembers Elizabeth Sherwood-Randall, then deputy secretary of the Department of Energy. "And then there was radio silence." Across all departments, similar stories were playing out: Trump appointees were few and far between; those that did show up were shockingly uninformed about the functions of their new workplace. Some even threw away the briefing books that had been prepared for them. Michael Lewis’ brilliant narrative takes us into the engine rooms of a government under attack by its own leaders.

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.

By looking at what separates the extremely successful from the rest of us, we learn what we can do to be more like them - and find out, in some cases, why it's good that we aren't. Barking up the Wrong Tree draws on startling statistics and surprising anecdotes to help you understand what works and what doesn't, so you can stop guessing at success and start living the life you want.

We live in strange times. A machine plays the strategy game Go better than any human; upstarts like Apple and Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than corporate research labs. MIT's Andrew McAfee and Erik Brynjolfsson know what it takes to master this digital-powered shift: we must rethink the integration of minds and machines, of products and platforms, and of the core and the crowd.

Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched.

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.

We are stuck, stymied, frustrated. But it needn't be this way. There is a formula for success that's been followed by the icons of history - from John D. Rockefeller to Amelia Earhart to Ulysses S. Grant to Steve Jobs - a formula that let them turn obstacles into opportunities. Faced with impossible situations, they found the astounding triumphs we all seek.

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts' predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight.

The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won't create a social network. If you are copying these guys, you aren't learning from them. It's easier to copy a model than to make something new: doing what we already know how to do takes the world from 1 to n, adding more of something familiar. But every time we create something new, we go from 0 to 1.

The New York Times bestselling Freakonomics changed the way we see the world, exposing the hidden side of just about everything. Now, with Think Like a Freak, Steven D. Levitt and Stephen J. Dubner have written their most revolutionary book yet. With their trademark blend of captivating storytelling and unconventional analysis, they take us inside their thought process and offer a blueprint for an entirely new way to solve problems. The topics range from business to philanthropy to sports to politics, all with the goal of retraining your brain. Along the way, you’ll learn the secrets of a Japanese hot-dog-eating champion, the reason an Australian doctor swallowed a batch of dangerous bacteria, and why Nigerian e-mail scammers make a point of saying they’re from Nigeria.

All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades.

Michael Lewis returns to the financial world to give listeners a ringside seat as the biggest news story in years prepares to hit Wall Street....