The author of The Power of Habit and “master of the life hack” (GQ) explores the fascinating science of productivity and offers real-world takeaways to apply your life, whether you’re chasing peak productivity or simply trying to get back on track.

How does science work? Does it tell us what the world is "really" like? What makes it different from other ways of understanding the universe? In Theory and Reality, Peter Godfrey-Smith addresses these questions by taking the listener on a grand tour of 100 years of debate about science. The result is a completely accessible introduction to the main themes of the philosophy of science.

Max Tegmark leads us on an astonishing journey through past, present and future, and through the physics, astronomy, and mathematics that are the foundation of his work, most particularly his hypothesis that our physical reality is a mathematical structure and his theory of the ultimate multiverse. In a dazzling combination of both popular and groundbreaking science, he not only helps us grasp his often mind-boggling theories, but he also shares with us some of the often surprising triumphs and disappointments that have shaped his life as a scientist.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

In a world increasingly ruled by numbers and algorithms, award-winning journalist Chris Jones makes a compelling case for a more personal approach to analytical thinking​. The Eye Test is a necessary course correction, a call for a more balanced, personal approach to problem-solving. Award-winning journalist Chris Jones makes the case for the human element - for what smart, practiced, devoted people can bring to situations that have proved resistant to analytics.

In a rarified world of scientific research, a revolution has been brewing. Its activists are not anarchists, but rather Nobel Laureates in physics and economics and pony-tailed graduates, mathematicians, and computer scientists from all over the world. They have formed an iconoclastic think-tank and their radical idea is to create a new science: complexity. They want to know how a primordial soup of simple molecules managed to turn itself into the first living cell--and what the origin of life some four billion years ago can tell us about the process of technological innovation today.

In this landmark book of popular science, Daniel E. Lieberman - chair of the department of human evolutionary biology at Harvard University and a leader in the field - gives us a lucid and engaging account of how the human body evolved over millions of years, even as it shows how the increasing disparity between the jumble of adaptations in our Stone Age bodies and advancements in the modern world is occasioning this paradox: greater longevity but increased chronic disease.

Everything All at Once is an exciting, inspiring call to unleash the power of the nerd mindset that exists within us all. Nye believes we'll never be able to tackle our society's biggest, most complex problems if we don't even know how to solve the small ones. Step by step, he shows his listeners the key tools behind his everything-all-at-once approach: radical curiosity, a deep desire for a better future, and a willingness to take the actions needed to make it a reality.

We human beings share 98 percent of our genes with chimpanzees. Yet humans are the dominant species on the planet - having founded civilizations and religions, developed intricate and diverse forms of communication, learned science, built cities, and created breathtaking works of art - while chimps remain animals concerned primarily with the basic necessities of survival. What is it about that two percent difference in DNA that has created such a divergence between evolutionary cousins?

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.

When Jared Dillian joined Lehman Brothers in 2001, he fulfilled a life-long dream to make it on Wall Street - but he had no idea how close to the edge the job would take him. Like Michael Lewis' classic Liar's Poker, Jared Dillian's Street Freak takes listeners behind the scenes of the legendary Lehman Brothers, exposing its outrageous and often hilarious corporate culture.

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.

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.

World renowned scientist Carl Sagan and acclaimed author Ann Druyan have written a Roots for the human species, a lucid and riveting account of how humans got to be the way we are. It shows with humor and drama that many of our key traits - self-awareness, technology, family ties, submission to authority, hatred for those a little different from ourselves, reason, and ethics - are rooted in the deep past, and illuminated by our kinship with other animals.

Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives: how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they explore the hidden side of...well, everything. The inner working of a crack gang...the truth about real-estate agents...the secrets of the Klu Klux Klan. What unites all these stories is a belief that the modern world is even more intriguing than we think. All it takes is a new way of looking, and Freakonomics will redefine the way we view the modern world.

How important is luck in economic success? No question more reliably divides conservatives from liberals. As conservatives correctly observe, people who amass great fortunes are almost always talented and hardworking. But liberals are also correct to note that countless others have those same qualities yet never earn much. In recent years, social scientists have discovered that chance plays a much larger role in important life outcomes than most people imagine.

Demographics not only define who we are, where we live, and how our numbers change. For those who can read beyond the raw figures, they open up hidden business opportunities that lie ahead. What will happen when retiring Boomers free up jobs? How will Generation Y alter supermarkets? Which states will have the most dynamic workforces? Will American manufacturing rebound as Asia's population declines? Upside puts this powerful yet little-understood science to work finding answers.

Many scientific and philosophical ideas are so powerful that they can be applied to our lives at home, work, and school to help us think smarter and more effectively about our behavior and the world around us. Surprisingly, many of these ideas remain unknown to most of us. In Mindware, the world-renowned psychologist Richard Nisbett presents these ideas in clear and accessible detail, offering a tool kit for better thinking and wiser decisions.

Ever since Adam Smith, the central teaching of economics has been that free markets provide us with material well-being, as if by an invisible hand. In Phishing for Phools, Nobel Prize-winning economists George Akerlof and Robert Shiller deliver a fundamental challenge to this insight, arguing that markets harm as well as help us. As long as there is profit to be made, sellers will systematically exploit our psychological weaknesses and our ignorance through manipulation and deception.

The Money Formula takes you inside the engine room of the global economy to explore the little-understood world of quantitative finance, and show how the future of our economy rests on the backs of this all-but-impenetrable industry. Written not from a post-crisis perspective - but from a preventative point of view - this book traces the development of financial derivatives from bonds to credit default swaps, and shows how mathematical formulas went beyond pricing to expand their use to the point where they dwarfed the real economy.

Chronicling the rise and fall of the efficient market theory and the century-long making of the modern financial industry, Justin Fox’s The Myth of the Rational Market is as much an intellectual whodunit as a cultural history of the perils and possibilities of risk. The book brings to life the people and ideas that forged modern finance and investing, from the formative days of Wall Street through the Great Depression and into the financial calamity of today.

Financial economist George G. Szpiro here tells the fascinating stories of the pioneers of mathematical finance who conducted the search for the elusive options pricing formula. From the broker's assistant who published the first mathematical explanation of financial markets to Albert Einstein and other scientists, Pricing the Future retraces the historical and intellectual developments that ultimately led to the widespread use of mathematical models to drive investment strategies on Wall Street.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

Picture an early scene from The Wizard of Oz: Dorothy hurries home as a tornado gathers in what was once a clear Kansas sky. Hurriedly, she seeks shelter in the storm cellar under the house, but, finding it locked, takes cover in her bedroom. We all know how that works out for her.Many investors these days are a bit like Dorothy, putting their faith in something as solid and trustworthy as a house (or, say, real estate). But market disruptions - storms - seem to arrive without warning, leaving us little time to react.

From terror attacks to the War on Terror, bursting real-estate bubbles to crystal meth epidemics, sexual predators to poisonous toys from China, our list of fears seems to be exploding. And yet, we are the safest and healthiest humans in history. Irrational fear is running amok, and often with tragic results. In the months after 9/11, when people decided to drive instead of fly - believing they were avoiding risk - road deaths rose by 1,595. Those lives were lost to fear.

Why do three out of four professional football players go bankrupt? How can illiterate jungle dwellers pass a test that tricks Harvard philosophers? And why do billionaires work so hard - only to give their hard-earned money away? When it comes to making decisions, the classic view is that humans are eminently rational. But growing evidence suggests instead that our choices are often irrational, biased, and occasionally even moronic. Which view is right - or is there another possibility?

Since its first publication, Michael J. Mauboussin's popular guide to wise investing has been translated into eight languages and has been named best business book by BusinessWeek and best economics book by Strategy Business. Now updated to reflect current research and expanded to include new chapters on investment philosophy, psychology, and strategy and science as they pertain to money management.

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

Insights—like Darwin's understanding of the way evolution actually works, and Watson and Crick's breakthrough discoveries about the structure of DNA-can change the world. We also need insights into the everyday things that frustrate and confuse us so that we can more effectively solve problems and get things done. Yet we know very little about when, why, or how insights are formed—or what blocks them. In Seeing What Others Don't, renowned cognitive psychologist Gary Klein unravels the mystery.

The Mind of the Market will change the way we think about the economics of everyday life. Drawing on research from neuroeconomics, Michael Shermer explores what brain scans reveal about bargaining, snap purchases, and how trust is established in business. Utilizing experiments in behavioral economics, Shermer shows why people hang on to losing stocks and failing companies, why business negotiations often disintegrate into emotional tit-for-tat disputes, and why money does not make us happy.

Freakonomics showed how economic calculations can explain seemingly counterintuitive decision-making. Thinking, Fast and Slow helped listeners identify a host of small cognitive errors that can lead to miscalculations and irrational thought. In What the Luck?, statistician and author Gary Smith sets himself a similar goal, and explains - in clear, understandable, and witty prose - how a statistical understanding of luck can change the way we see just about every aspect of our lives.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

We rely on effective research in many areas of life, and at times our lives even depend on it. But what is it that makes research effective? Any good research rests upon, above all else, method. In these 24 dynamic lectures, you’ll discover the remarkable procedures and techniques that make research such a powerful tool. This brilliantly conceived course gives you a deep, detailed, and practical guide to proper research methods - methods that are broadly applicable to all kinds of research.

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.

These stories from Quanta Magazine map the routes of mathematical exploration, showing listeners how cutting-edge research is done, while illuminating the productive tension between conjecture and proof, theory and intuition. Listeners of The Prime Number Conspiracy are headed on "breathtaking intellectual journeys to the bleeding edge of discovery strapped to the narrative rocket of humanity's never-ending pursuit of knowledge," says Quanta editor-in-chief Thomas Lin.

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

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.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

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.