From a fortress-like former bank building, American Pain's doctors distributed massive quantities of oxycodone to hundreds of customers a day, mostly traffickers and addicts who came by the vanload. Inked muscle-heads ran the clinic's security. Former strippers operated the pharmacy, counting out pills and stashing cash in garbage bags. Under their lab coats, the doctors carried guns and it was all legal sort of. American Pain was the brainchild of Chris George, a 27-year-old convicted drug felon. The son of a South Florida home builder, Chris George grew up in ultra-rich Wellington, where Bill Gates, Springsteen, and Madonna kept houses. Thick-necked from weightlifting, he and his twin brother hung out with mobsters, invested in strip clubs, brawled with cops, and grinned for their mug shots. After the housing market stalled, a local doctor clued in the brothers to the burgeoning underground market for lightly regulated prescription painkillers. In Florida, pain clinics could dispense the meds, and no one tracked the patients. Seizing the opportunity, Chris George teamed up with the doctor, and word got out. Just two years later Chris had raked in $40 million, and 90 percent of the pills his doctors prescribed flowed north to feed the rest of the country's insatiable narcotics addiction. Meanwhile, hundreds more pain clinics in the mold of American Pain had popped up in the Sunshine State, creating a gigantic new drug industry. American Pain chronicles the rise and fall of this game-changing pill mill, and how it helped tip the nation into its current opioid crisis, the deadliest drug epidemic in American history. The narrative swings back and forth between Florida and Kentucky, and is populated by a gaudy and diverse cast of characters. This includes the incongruous band of wealthy bad boys, thugs and esteemed physicians who built American Pain, as well as penniless Kentucky clans who transformed themselves into painkiller trafficking rings. It includes addicts whose lives were devastated by American Pain's drugs, and the federal agents and grieving mothers who labored for years to bring the clinic's crew to justice."

    Starting with Alexander Graham Bell's revolutionary "harmonic telegraph," by the middle of the twentieth century the phone system had grown into something extraordinary, a web of cutting-edge switching machines and human operators that linked together millions of people like never before. But the network had a billion-dollar flaw, and once people discovered it, things would never be the same.Exploding the Phone tells this story in full for the first time. It traces the birth of long-distance communication and the telephone, the rise of AT&T's monopoly, the creation of the sophisticated machines that made it all work, and the discovery of Ma Bell's Achilles' heel. Phil Lapsley expertly weaves together the clandestine underground of "phone phreaks" who turned the network into their electronic playground, the mobsters who exploited its flaws to avoid the feds, the explosion of telephone hacking in the counterculture, and the war between the phreaks, the phone company, and the FBI.The product of extensive original research, Exploding the Phone is a ground-breaking, captivating book.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    On both economic and psychological grounds, author Matthew B. Crawford questions the educational imperative of turning everyone into a "knowledge worker," based on a misguided separation of thinking from doing. Using his own experience as an electrician and mechanic, Crawford presents a wonderfully articulated call for self-reliance and a moving reflection on how we can live concretely in an ever more abstract world.

    When he learned how to see again, he didn't want anyone's pity. People shouldn't feel sorry for him, he decided, and they shouldn't feel sorry for themselves either. Most people's everyday challenges aren't as extreme as surviving combat or working to regain their sight, but that's just Crenshaw's point: If we can meet life's toughest challenges without resenting our luck or complaining, minor daily obstacles aren't worth our outrage. "Microaggressions" and "triggers" from mere words mean little to someone who's had bullets fly by their head. That's Crenshaw's simple lesson in FORTITUDE: Lighten up, toughen up, and get to work on what's important (hint: it's not giving into a culture of outrage, playing the victim, and seeking an apology).FORTITUDE is a no-nonsense advice book for a society desperately in need of tough love. With meditations on perseverance, failure, and finding much-needed heroes, the book is the antidote for a prevailing "safety culture" of trigger warnings and safe spaces. Interspersed with lessons and advice is Crenshaw's own story of how an average American kid from the Houston suburbs has faced all sorts of unexpected situations -- from war zones to the halls of Congress -- and managed to navigate them all with a few simple tricks: a sense of humor and an even greater sense that, no matter what anyone else around us says or does, we are in control of our own destiny.

    For this understandable reason, the idea has been banished from polite academic conversation. Arguing that race is more than just a social construct can get a scholar run out of town, or at least off campus, on a rail. Human evolution, the consensus view insists, ended in prehistory. Inconveniently, as Nicholas Wade argues in A Troublesome Inheritance, the consensus view cannot be right. And in fact, we know that populations have changed in the past few thousand years—to be lactose tolerant, for example, and to survive at high altitudes. Race is not a bright-line distinction; by definition it means that the more human populations are kept apart, the more they evolve their own distinct traits under the selective pressure known as Darwinian evolution. For many thousands of years, most human populations stayed where they were and grew distinct, not just in outward appearance but in deeper senses as well. Wade, the longtime journalist covering genetic advances for The New York Times, draws widely on the work of scientists who have made crucial breakthroughs in establishing the reality of recent human evolution. The most provocative claims in this book involve the genetic basis of human social habits. What we might call middle-class social traits—thrift, docility, nonviolence—have been slowly but surely inculcated genetically within agrarian societies, Wade argues. These “values” obviously had a strong cultural component, but Wade points to evidence that agrarian societies evolved away from hunter-gatherer societies in some crucial respects. Also controversial are his findings regarding the genetic basis of traits we associate with intelligence, such as literacy and numeracy, in certain ethnic populations, including the Chinese and Ashkenazi Jews. Wade believes deeply in the fundamental equality of all human peoples. He also believes that science is best served by pursuing the truth without fear, and if his mission to arrive at a coherent summa of what the new genetic science does and does not tell us about race and human history leads straight into a minefield, then so be it. This will not be the last word on the subject, but it will begin a powerful and overdue conversation.

    Uber had catapulted to the top of the tech world, yet for many came to symbolize everything wrong with Silicon Valley.Award-winning New York Times technology correspondent Mike Isaac’s Super Pumped presents the dramatic rise and fall of Uber, set against an era of rapid upheaval in Silicon Valley. Backed by billions in venture capital dollars and led by a brash and ambitious founder, Uber promised to revolutionize the way we move people and goods through the world. A near instant “unicorn,” Uber seemed poised to take its place next to Amazon, Apple, and Google as a technology giant.What followed would become a corporate cautionary tale about the perils of startup culture and a vivid example of how blind worship of startup founders can go wildly wrong. Isaac recounts Uber’s pitched battles with taxi unions and drivers, the company’s toxic internal culture, and the bare-knuckle tactics it devised to overcome obstacles in its quest for dominance. With billions of dollars at stake, Isaac shows how venture capitalists asserted their power and seized control of the startup as it fought its way toward its fateful IPO.Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a page-turning story of ambition and deception, obscene wealth, and bad behavior that explores how blistering technological and financial innovation culminated in one of the most catastrophic twelve-month periods in American corporate history.

    On the last day of summer, an ordinary Utah college student named Reggie Shaw fatally struck two rocket scientists while texting and driving along a majestic stretch of highway bordering the Rocky Mountains. Richtel follows Reggie from the moment of the tragedy, through the police investigation, the state's groundbreaking prosecution (at the time there was little precedent to guide the court), and ultimately, Reggie's wrenching admission of responsibility. Richtel parallels Reggie's journey with leading-edge scientific findings regarding human attention and the impact of technology on our brains--showing how these devices, now thoroughly embedded in all aspects of our lives, play to our deepest social instincts and prey on parts of the brain that crave stimulation, creating loops of compulsion, even addiction. A propulsive read filled with fascinating scientific detail, riveting narrative tension, and rare emotional depth, A Deadly Wandering is a book that can change--and save--lives.

    It is moving away from its current structure of documents and pages linked together, and towards a new structure that is built around people. This is a profound change that will affect how we create business strategy, design, marketing, and advertising. The reason for this shift is simple. For tens of thousands of years we've been social animals. The web, which is only 20 years old, is simply catching up with offline life.From travel to news to commerce, smart businesses are reorienting their efforts around people-around the social behavior of their customers and potential customers. In order to be successful, businesses will need to understand how people are connected, how their social network influences them, how the people closest to them influence them the most, and how it's more important for marketers to focus on small, connected groups of friends rather than looking for overly influential individuals.This book pulls together the latest research from leading universities and technology companies to describe how people are connected, and how ideas and brand messages spread through social networks. It shows readers how to rebuild their business around social behavior, and create products that people tell their friends about.

    Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

    While this has had the positive effect of equalizing access to knowledge, it also has lowered the bar on what depth of knowledge is required to consider oneself an "expert." A cult of anti-expertise sentiment has coincided with anti-intellectualism, resulting in massively viral yet poorly informed debates ranging from the anti-vaccination movement to attacks on GMOs. This surge in intellectual egalitarianism has altered the landscape of debates-all voices are equal, and "fact" is a subjective term. Browsing WebMD puts one on equal footing with doctors, and Wikipedia allows all to be foreign policy experts, scientists, and more. As Tom Nichols shows in The Death of Expertise, there are a number of reasons why this has occurred-ranging from easy access to Internet search engines to a customer satisfaction model within higher education. The product of these interrelated trends, Nichols argues, is a pervasive distrust of expertise among the public coinciding with an unfounded belief among non-experts that their opinions should have equal standing with those of the experts. The experts are not always right, of course, and Nichols discusses expert failure. The crucial point is that bad decisions by experts can and have been effectively challenged by other well-informed experts. The issue now is that the democratization of information dissemination has created an army of ill-informed citizens who denounce expertise.When challenged, non-experts resort to the false argument that the experts are often wrong. Though it may be true, but the solution is not to jettison expertise as an ideal; it is to improve our expertise. Nichols is certainly not opposed to information democratization, but rather the enlightenment people believe they achieve after superficial internet research. He shows in vivid detail the ways in which this impulse is coursing through our culture and body politic, but the larger goal is to explain the benefits that expertise and rigorous learning regimes bestow upon all societies.