From the bestselling author of Blink and The Tipping Point, Malcolm Gladwell's Outliers: The Story of Success overturns conventional wisdom about genius to show us what makes an ordinary person an extreme overachiever. Why do some people achieve so much more than others? Can they lie so far out of the ordinary? In this provocative and inspiring book, Malcolm Gladwell looks at everyone from rock stars to professional athletes, software billionaires to scientific geniuses, to show that the story of success is far more surprising, and far more fascinating, than we could ever have imagined. He reveals that it's as much about where we're from and what we do, as who we are - and that no one, not even a genius, ever makes it alone. Outliers will change the way you think about your own life story, and about what makes us all unique. 'Gladwell is not only a brilliant storyteller; he can see what those stories tell us, the lessons they contain' Guardian 'Malcolm Gladwell is a global phenomenon ... he has a genius for making everything he writes seem like an impossible adventure' Observer 'He is the best kind of writer - the kind who makes you feel like you're a genius, rather than he's a genius' The Times

In today's hyper-connected society, understanding the mechanisms of trust is crucial. Issues of trust are critical to solving problems as diverse as corporate responsibility, global warming, and the political system. In this insightful and entertaining book, Schneier weaves together ideas from across the social and biological sciences to explain how society induces trust. He shows the unique role of trust in facilitating and stabilizing human society. He discusses why and how trust has evolved, why it works the way it does, and the ways the information society is changing everything.

From the New York Times bestselling author of Reconstructing Amelia comes a fast-paced teen series where one girl learns that in a world of intrigue, betrayal, and deeply buried secrets, it is vital to trust your instincts. It all starts with a text: Please, Wylie, I need your help. Wylie hasn’t heard from Cassie in over a week, not since their last fight. But that doesn’t matter. Cassie’s in trouble, so Wylie decides to do what she has done so many times before: save her best friend from herself. This time it’s different, though. Instead of telling Wylie where she is, Cassie sends cryptic clues. And instead of having Wylie come by herself, Jasper shows up saying Cassie sent him to help. Trusting the guy who sent Cassie off the rails doesn’t feel right, but Wylie has no choice but to ignore her gut instinct and go with him. But figuring out where Cassie is goes from difficult to dangerous, fast. As Wylie and Jasper head farther and farther north into the dense woods of Maine, Wylie struggles to control her growing sense that something is really wrong. What isn’t Cassie telling them? And could finding her be only the beginning? In this breakneck tale, New York Times bestselling author Kimberly McCreight brilliantly chronicles a fateful journey that begins with a single decision—and ends up changing everything.

Discusses the decision making process and how it is influenced by the environment.

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

General theoretical principles; A single outlier in normal samples; The gamma distribution; Multiple outliers; Non-parametric tests; Outliers from the linear model; Multivariate outlier detection; Bayesian approach to outliers; Miscellaneous topics.

Malcolm Gladwell is the master of playful yet profound insight. His ability to see underneath the surface of the seemingly mundane taps into a fundamental human impulse: curiosity. From criminology to ketchup, job interviews to dog training, Malcolm Gladwell takes everyday subjects and shows us surprising new ways of looking at them, and the world around us. Are smart people overrated? What can pit bulls teach us about crime? Why are problems like homelessness easier to solve than to manage? How do we hire when we can’t tell who’s right for the job? Gladwell explores the minor geniuses, the underdogs and the overlooked, and reveals how everyone and everything contains an intriguing story. What the Dog Saw is Gladwell at his very best – asking questions and seeking answers in his inimitable style.