Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Like all of us, though few so visibly, Alan Greenspan was forced by the financial crisis of 2008 to question some fundamental assumptions about risk management and economic forecasting. No one with any meaningful role in economic decision making in the world saw beforehand the storm for what it was. How had our models so utterly failed us? To answer this question, Alan Greenspan embarked on a rigorous and far-reaching multiyear examination of how Homo economicus predicts the economic future, and how it can predict it better. Economic risk is a fact of life in every realm, from home to business to government at all levels. Whether we’re conscious of it or not, we make wagers on the future virtually every day, one way or another. Very often, however, we’re steering by out-of-date maps, when we’re not driven by factors entirely beyond our conscious control. The Map and the Territory is nothing less than an effort to update our forecasting conceptual grid. It integrates the history of economic prediction, the new work of behavioral economists, and the fruits of the author’s own remarkable career to offer a thrillingly lucid and empirically based grounding in what we can know about economic forecasting and what we can’t.The book explores how culture is and isn't destiny and probes what we can predict about the world's biggest looming challenges, from debt and the reform of the welfare state to natural disasters in an age of global warming. No map is the territory, but Greenspan’s approach, grounded in his trademark rigor, wisdom, and unprecedented context, ensures that this particular map will assist in safe journeys down many different roads, traveled by individuals, businesses, and the state.

"I didn't even know that was a question I could ask." That remark from a student in an introductory philosophy course points to the primary body of knowledge philosophy produces: a detailed record of what we do not know. When we come to view a philosophical question as well-formed and worthwhile, it is a way of providing as specific a description as we can of something we do not know. The creation or discovery of such questions is like noting a landmark in a territory we're exploring. When we identify reasonable, if conflicting, answers to this question, we are noting routes to and away from that landmark. And since proposed answers to philosophical questions often contain implied answers to other philosophical questions, those routes connect different landmarks. The result is a kind of map: a map of the unknown. Yet when it comes to the unknown, and all the more so to its cartography, might it not make sense to take our orientation from Borges: What's in question here, with respect to philosophical questions, is an incipient, unlocalizable threshold-a terrain neither subjective, nor entirely objective, one neither of representation, nor finally of simple immediacy-there where the map perceptibly fails to diverge from the territory. Amid Inclemencies of weather and fringed, as per Borges, with ruin and singular figures-with Animals and Beggars-what's enclosed is an attempt to chart the contours of this curious immanence.

When human brains try to do things, they can run into some very strange problems. Self-deception, confirmation bias, magical thinking-it sometimes seems our ingenuity is boundless when it comes to shooting ourselves in the foot.In Map and Territory, decision theorist Eliezer Yudkowsky asks what a "martial art" of rationality would look like, beginning with the basic fighting stance-the orientation toward the world that lets us get the most bang for our cognitive buck, that best positions us to understand and react to brains' strange acts of self-destruction.

Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.

This innovative book is an interaction based on a series of interviews between the artist Ralph Rumney and the writer Alan Woods. Rumney's extraordinary life is chronicled here, as well as his works over the last 45 years. He is the only British founder-member of Situationist International, and the lone founder of the London Psychogeographical Society. Complementing the open elements of play and discovery inherent in Rumney's psychogeography is an almost Duchamp-esque interest in the applicability of games. This volume contains over 100 illustrations, many of which have not been previously reproduced.