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 this fascinating and illuminating work, Leonard Mlodinow guides us through the critical eras and events in the development of science, all of which, he demonstrates, were propelled forward by humankind's collective struggle to know. From the birth of reasoning and culture to the formation of the studies of physics, chemistry, biology, and modern-day quantum physics, we come to see that much of our progress can be attributed to simple questions - why? how? - bravely asked.

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.

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”.

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.

In Parallel Worlds, world-renowned physicist and best-selling author Michio Kaku - an author who "has a knack for bringing the most ethereal ideas down to earth" (Wall Street Journal) - takes listeners on a fascinating tour of cosmology, M-theory, and its implications for the fate of the universe.

Ever since he made his first appearance in A Study In Scarlet, Sherlock Holmes has enthralled and delighted millions of fans throughout the world. Now Audible is proud to present Arthur Conan Doyle's Sherlock Holmes, read by Stephen Fry. A lifelong fan of Doyle's detective fiction, Fry has narrated the definitive collection of Sherlock Holmes - four novels and four collections of short stories. And, exclusively for Audible, Stephen has written and narrated eight insightful introductions, one for each title.

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.

At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?

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.

There is no doubt science is currently suffering from a credibility crisis. This thought-provoking book argues that, ironically, science’s credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the Internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers.

Become a better decision-maker and more informed consumer using statistics stories. Stories stimulate our brains to enhance retention and understanding by evoking emotions. They provide context, helping us grasp complex concepts through real-life examples and establish a connection with the information. By transforming data into narratives, we recall and thus apply insights more effectively, enhancing our ability to make more informed decisions. Perfect for the Math-Averse. You don’t need to crunch numbers to make statistics valuable.