From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

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.

Factfulness: The stress-reducing habit of carrying only opinions for which you have strong supporting facts. When asked simple questions about global trends - what percentage of the world's population live in poverty; why the world's population is increasing; how many girls finish school - we systematically get the answers wrong. In Factfulness, professor of international health and global TED phenomenon Hans Rosling, together with his two longtime collaborators, Anna and Ola, offers a radical new explanation of why this happens.

The New York Times best-selling 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.

New York Times best-selling author Dan Heath examines how to prevent problems before they happen, drawing on insights from his innovative behavior research, as well as hundreds of new interviews with unconventional problem solvers. Most of us spend our days handling a deluge of pressing issues. We’re so accustomed to managing emergencies as they strike that we often don’t stop to think about how we could prevent crises before they happen. Why stop at treating the symptoms when you could develop a cure?

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 The Organized Mind, Daniel J. Levitin, PhD, uses the latest brain science to demonstrate how those people excel - and how readers can use their methods to regain a sense of mastery over the way they organize their homes, workplaces, and time. With lively, entertaining chapters on everything from the kitchen junk drawer to health care to executive office workflow, Levitin reveals how new research into the cognitive neuroscience of attention and memory can be applied to the challenges of our daily lives.

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.

In Do Nothing, award-winning journalist Celeste Headlee illuminates a new path ahead, seeking to institute a global shift in our thinking so we can stop sabotaging our well-being, put work aside, and start living instead of doing. As it turns out, we’re searching for external solutions to an internal problem. We won’t find what we’re searching for in punishing diets, productivity apps, or the latest self-improvement schemes. Yet all is not lost - we just need to learn how to take time for ourselves, without agenda or profit, and redefine what is truly worthwhile.

In his groundbreaking book Predictably Irrational, social scientist Dan Ariely revealed the multiple biases that lead us into making unwise decisions. Now, in The Upside of Irrationality, he exposes the surprising negative and positive effects irrationality can have on our lives. Focusing on our behaviors at work and in relationships, he offers new insights and eye-opening truths about what really motivates us on the job.

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”.

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.

Are you above average? Is your child an A student? Is your employee an introvert or an extrovert? Every day we are measured against the yardstick of averages, judged according to how close we come to it or how far we deviate from it. The assumption that metrics comparing us to an average—like GPAs, personality test results, and performance review ratings—reveal something meaningful about our potential is so ingrained in our consciousness that we don't even question it. That assumption, says Harvard's Todd Rose, is spectacularly—and scientifically—wrong.

Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, treating men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women.

Most of us want to make a difference. We donate our time and money to charities and causes we deem worthy, choose careers we consider meaningful, and patronize businesses and buy products we believe make the world a better place. Unfortunately we often base these decisions on assumptions and emotions rather than facts. As a result even our best intentions often lead to ineffective - and sometimes downright harmful - outcomes. How can we do better?