The answers will surprise and delight you as Alexandra Horowitz, a cognitive scientist, explains how dogs perceive their daily worlds, each other, and that other quirky animal, the human.Temple Grandin meets Stephen Pinker in this engaging and informative look at what goes on inside the minds of dogs—from a cognitive scientist with a background at The New Yorker.With more than 52 million pet dogs in America today, it’s clear we are a nation of unabashed dog-lovers. Yet the relationship between dogs and humans remains a fascinating mystery, as no one really knows what goes on in the canine mind. Now, in Inside of a Dog, Alexandra Horowitz fuses her perspectives as both scientist and dog-owner to deliver a fresh look at the world of dogs—as seen from the animal’s point of view. Inspired by her years of living with her own dog, Pumpernickel, who was a constant source of delight and mystery, Horowitz’s mind became filled with questions and ideas. In crisp, clear prose, she draws on her research in the field of dog cognition to give readers a sense of a dog’s perceptual and cognitive abilities—and paints a picture of what the canine experience is like. Horowitz’s own scientific journey, and the insights she uncovered, allowed her to understand her dog better and appreciate her more.Containing up-to-the minute research and providing many moments of dog-behavior recognition, this lively and absorbing book helps dog owners to see their best friend’s behavior in a different, and revealing light, allowing them to understand their pets and enjoy their company even more.

     Scott Adams--a trained hypnotist and a lifelong student of persuasion--was one of the earliest public figures to predict Trump's win, doing so a week after Nate Silver put Trump's odds at 2 percent in his FiveThirtyEight.com blog. The mainstream media regarded Trump as a novelty and a sideshow. But Adams recognized in Trump a level of persuasion you only see once in a generation.Trump triggered massive cognitive dissonance and confirmation bias on both the left and the right. We're hardwired to respond to emotion, not reason. We might listen to 10 percent of a speech--a hand gesture here, a phrase there--and if the right buttons are pushed, we irrationally agree with the speaker and invent reasons to justify that decision after the fact.The point isn't whether Trump was right or wrong, good or bad. Win Bigly goes beyond politics to look at persuasion tools that can work in any setting--the same ones Adams saw in Steve Jobs when he invested in Apple decades ago. For instance:- If you need to convince people that something is important, make a claim that's directionally accurate but has a big exaggeration in it. Everyone will spend endless hours talking about how wrong it is while accidentally persuading themselves the issue is a high priority. - Stop wasting time on elaborate presentations. Inside, you'll learn which components of your messaging matter, and where you can wing it. - Creating "linguistic kill shots" with persuasion engineering (such as "Low-energy Jeb") can be more powerful than facts and policies.Adams offers nothing less than "access to the admin passwords to human beings." This is a must-read if you care about persuading others in any field--or if you just want to resist persuasion from others.

    In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to artificial intelligence embedded in everything we manufacture—can be understood as the result of a few long-term, accelerating forces. Kelly both describes these deep trends—flowing, screening, accessing, sharing, filtering, remixing, tracking, and questioning—and demonstrates how they overlap and are codependent on one another. These larger forces will completely revolutionize the way we buy, work, learn, and communicate with each other. By understanding and embracing them, says Kelly, it will be easier for us to remain on top of the coming wave of changes and to arrange our day-to-day relationships with technology in ways that bring forth maximum benefits. Kelly’s bright, hopeful book will be indispensable to anyone who seeks guidance on where their business, industry, or life is heading—what to invent, where to work, in what to invest, how to better reach customers, and what to begin to put into place—as this new world emerges.

    Can this young upstart money challenge the global monetary order? Economist Saifedean Ammous traces the history of the technologies of money to seashells, limestones, cattle, salt, beads, metals, and government debt, explaining what gave these technologies their monetary role, what makes for sound money, and the benefits of a sound monetary regime to economic growth, innovation, culture, trade, individual freedom, and international peace.The monetary and historical analysis sets the stage for understanding the mechanics of the operation of Bitcoin, the reasons for its initial success, and the role it could play in an information economy. Rather than serving as a currency and network for consumer purchases, the author argues Bitcoin is better suited as a store of value and network for settlement between large financial institutions. With an automated and perfectly predictable monetary policy, and the ability to perform final settlement of large sums across the world in a matter of minutes, Bitcoin's true importance may just lie in providing a decentralized, neutral, free-market alternative to national central banks.

    If the facts don't hang together on a latticework of theory, you don't have them in a usable form. You've got to have models in your head."- Charlie Munger, investor, vice chairman of Berkshire HathawayThe 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 read Super Thinking, a fun, illustrated guide to every mental model you could possibly need. How can mental models help you? Well, here are just a few examples... • If you've ever been overwhelmed by a to-do list that's grown too long, maybe you need the Eisenhower Decision Matrix to help you prioritize. • Use the 5 Whys model to better understand people's motivations or get to the root cause of a problem. • Before concluding that your colleague who messes up your projects is out to sabotage you, consider Hanlon's Razor for an alternative explanation. • Ever sat through a bad movie just because you paid a lot for the ticket? You might be falling prey to Sunk Cost Fallacy. • Set up Forcing Functions, like standing meeting or deadlines, to help grease the wheels for changes you want to occur.So, the next time you find yourself faced with a difficult decision or just trying to understand a complex situation, let Super Thinking upgrade your brain with mental models.Note: in the US the subtitle is The Big Book of Mental Models and outside it is Upgrade Your Reasoning and Make Better Decisions with Mental Models.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge--from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool--the general principle--from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems.Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.

    It offers a clear overview of the fundamentals of environmental economics that will enable students and professionals to quickly grasp important concepts and to apply those concepts to real-world environmental problems. In addition, the book integrates normative, policy, and institutional issues at a principles level. Chapters examine: the benefits and costs of environmental protection, markets and market failure, natural resources as capital assets, and sustainability and economic development. Markets and the Environment is the second volume in the Foundations of Contemporary Environmental Studies Series, edited by James Gustave Speth. The series presents concise guides to essential subjects in the environmental curriculum, incorporating a problem-based approach to teaching and learning.

    It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you'll learn how toFight software rot; Avoid the trap of duplicating knowledge; Write flexible, dynamic, and adaptable code; Avoid programming by coincidence; Bullet-proof your code with contracts, assertions, and exceptions; Capture real requirements; Test ruthlessly and effectively; Delight your users; Build teams of pragmatic programmers; and Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether you're a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you'll quickly see improvements in personal productivity, accuracy, and job satisfaction. You'll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You'll become a Pragmatic Programmer.

    But one rogue researcher looked at the data and decided everyone was wrong. Franz Boas was the very image of a mad scientist: a wild-haired immigrant with a thick German accent. By the 1920s he was also the foundational thinker and public face of a new school of thought at Columbia University called cultural anthropology. He proposed that cultures did not exist on a continuum from primitive to advanced. Instead, every society solves the same basic problems--from childrearing to how to live well--with its own set of rules, beliefs, and taboos.Boas's students were some of the century's intellectual stars: Margaret Mead, the outspoken field researcher whose Coming of Age in Samoa is one of the most widely read works of social science of all time; Ruth Benedict, the great love of Mead's life, whose research shaped post-Second World War Japan; Ella Deloria, the Dakota Sioux activist who preserved the traditions of Native Americans of the Great Plains; and Zora Neale Hurston, whose studies under Boas fed directly into her now-classic novel, Their Eyes Were Watching God. Together, they mapped vanishing civilizations from the Arctic to the South Pacific and overturned the relationship between biology and behavior. Their work reshaped how we think of women and men, normalcy and deviance, and re-created our place in a world of many cultures and value systems. Gods of the Upper Air is a page-turning narrative of radical ideas and adventurous lives, a history rich in scandal, romance, and rivalry, and a genesis story of the fluid conceptions of identity that define our present moment.

    Nine short non-fiction pieces with a forward by Shumon Basar.

    In nearly every moment of our waking lives, we face a barrage of messaging, advertising enticements, branding, sponsored social media, and other efforts to harvest our attention. Few moments or spaces of our day remain uncultivated by the "attention merchants," contributing to the distracted, unfocused tenor of our times. Tim Wu argues that this condition is not simply the byproduct of recent technological innovations but the result of more than a century's growth and expansion in the industries that feed on human attention. From the pre-Madison Avenue birth of advertising to the explosion of the mobile web; from AOL and the invention of email to the attention monopolies of Google and Facebook; from Ed Sullivan to celebritypower brandslike Oprah Winfrey, Kim Kardashian and Donald Trump, the basic business model of "attention merchants" has never changed: free diversion in exchange for a moment of your consideration, sold in turn to the highest-bidding advertiser. Wu describes the revolts that have risen against the relentless siege of our awareness, from the remote control to the creation of public broadcasting to Apple's ad-blocking OS. But he makes clear that attention merchants are always growing new heads, even as their means of getting inside our heads are changing our very nature--cognitive, social, political and otherwise--in ways unimaginable even a generation ago.

    But in the modern world, the breast is changing. Breasts are getting bigger, arriving earlier, and attracting newfangled chemicals. Increasingly, the odds are stacked against us in the struggle with breast cancer, even among men. What makes breasts so mercurial—and so vulnerable?In this informative and highly entertaining account, intrepid science reporter Florence Williams sets out to uncover the latest scientific findings from the fields of anthropology, biology, and medicine. Her investigation follows the life cycle of the breast from puberty to pregnancy to menopause, taking her from a plastic surgeon’s office where she learns about the importance of cup size in Texas to the laboratory where she discovers the presence of environmental toxins in her own breast milk. The result is a fascinating exploration of where breasts came from, where they have ended up, and what we can do to save them.

    From the healing of our bodies, to the success of our careers, relationships, and the peace between nations, this new evidence demonstrates that we each hold the power to speak directly to the force that links all of creation. What would it mean to discover that the power to create joy, to heal suffering, and bring peace to nations lives inside of you? How differently would you live if you knew how to use this power each day of your life? Join Gregg Braden on this extraordinary journey bridging science, spirituality and miracles through the language of The Divine Matrix.

    "His book is very compatible with XP. It is not about drawing pictures of a domain; it is about how you think of it, the language you use to talk about it, and how you organize your software to reflect your improving understanding of it. Eric thinks that learning about your problem domain is as likely to happen at the end of your project as at the beginning, and so refactoring is a big part of his technique. "The book is a fun read. Eric has lots of interesting stories, and he has a way with words. I see this book as essential reading for software developers--it is a future classic." --Ralph Johnson, author of Design Patterns "If you don't think you are getting value from your investment in object-oriented programming, this book will tell you what you've forgotten to do. "Eric Evans convincingly argues for the importance of domain modeling as the central focus of development and provides a solid framework and set of techniques for accomplishing it. This is timeless wisdom, and will hold up long after the methodologies du jour have gone out of fashion." --Dave Collins, author of Designing Object-Oriented User Interfaces "Eric weaves real-world experience modeling--and building--business applications into a practical, useful book. Written from the perspective of a trusted practitioner, Eric's descriptions of ubiquitous language, the benefits of sharing models with users, object life-cycle management, logical and physical application structuring, and the process and results of deep refactoring are major contributions to our field." --Luke Hohmann, author of Beyond Software Architecture "This book belongs on the shelf of every thoughtful software developer." --Kent Beck "What Eric has managed to capture is a part of the design process that experienced object designers have always used, but that we have been singularly unsuccessful as a group in conveying to the rest of the industry. We've given away bits and pieces of this knowledge...but we've never organized and systematized the principles of building domain logic. This book is important." --Kyle Brown, author of Enterprise Java(TM) Programming with IBM(R) WebSphere(R) The software development community widely acknowledges that domain modeling is central to software design. Through domain models, software developers are able to express rich functionality and translate it into a software implementation that truly serves the needs of its users. But despite its obvious importance, there are few practical resources that explain how to incorporate effective domain modeling into the software development process. Domain-Driven Design fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development. Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis--refactoring not just the code but the model underlying the code--in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. Domain-Driven Design then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include:Getting all team members to speak the same language Connecting model and implementation more deeply Sharpening key distinctions in a model Managing the lifecycle of a domain object Writing domain code that is safe to combine in elaborate ways Making complex code obvious and predictable Formulating a domain vision statement Distilling the core of a complex domain Digging out implicit concepts needed in the model Applying analysis patterns Relating design patterns to the model Maintaining model integrity in a large system Dealing with coexisting models on the same project Organizing systems with large-scale structures Recognizing and responding to modeling breakthroughs With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations.