Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much heralded scholar who studies the stuff and riddles of everyday life -- from cheating and crime to sports and child rearing -- and whose conclusions regularly turn the conventional wisdom on its head. He usually begins with a mountain of data and a simple, unasked question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives -- how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they set out to explore the hidden side of ... well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Ku Klux Klan.What unites all these stories is a belief that the modern world, despite a surfeit of obfuscation, complication, and downright deceit, is not impenetrable, is not unknowable, and -- if the right questions are asked -- is even more intriguing than we think. All it takes is a new way of looking. Steven Levitt, through devilishly clever and clear-eyed thinking, shows how to see through all the clutter.Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.(front flap)

    Season 1, comprising 20 essays totaling approximately 30,000 words, is written by Venkatesh Rao and illustrated by Grace Witherell. This inaugural season is an in-depth exploration of Marc Andreessen’s observation that “software is eating the world.”

    This increasingly ubiquitous, immensely powerful technology often leads us to assume that as the number of people online grows, it inevitably leads to a smaller, more cosmopolitan world. We’ll understand more, we think. We’ll know more. We’ll engage more and share more with people from other cultures. In reality, it is easier to ship bottles of water from Fiji to Atlanta than it is to get news from Tokyo to New York.In Rewire, media scholar and activist Ethan Zuckerman explains why the technological ability to communicate with someone does not inevitably lead to increased human connection. At the most basic level, our human tendency to “flock together” means that most of our interactions, online or off, are with a small set of people with whom we have much in common. In examining this fundamental tendency, Zuckerman draws on his own work as well as the latest research in psychology and sociology to consider technology’s role in disconnecting ourselves from the rest of the world.For those who seek a wider picture—a picture now critical for survival in an age of global economic crises and pandemics—Zuckerman highlights the challenges, and the headway already made, in truly connecting people across cultures. From voracious xenophiles eager to explore other countries to bridge figures who are able to connect one culture to another, people are at the center of his vision for a true kind of cosmopolitanism. And it is people who will shape a new approach to existing technologies, and perhaps invent some new ones, that embrace translation, cross-cultural inspiration, and the search for new, serendipitous experiences.Rich with Zuckerman’s personal experience and wisdom, Rewire offers a map of the social, technical, and policy innovations needed to more tightly connect the world.

    It's about states, armies and corporations. It's about orders from on high. Even history "from below" is often about trade unions and workers' parties. But what if that's simply because hierarchical institutions create the archives that historians rely on? What if we are missing the informal, less well documented social networks that are the true sources of power and drivers of change?The 21st century has been hailed as the Age of Networks. However, in The Square and the Tower, Niall Ferguson argues that networks have always been with us, from the structure of the brain to the food chain, from the family tree to freemasonry. Throughout history, hierarchies housed in high towers have claimed to rule, but often real power has resided in the networks in the town square below. For it is networks that tend to innovate. And it is through networks that revolutionary ideas can contagiously spread. Just because conspiracy theorists like to fantasize about such networks doesn't mean they are not real.From the cults of ancient Rome to the dynasties of the Renaissance, from the founding fathers to Facebook, The Square and the Tower tells the story of the rise, fall and rise of networks, and shows how network theory--concepts such as clustering, degrees of separation, weak ties, contagions and phase transitions--can transform our understanding of both the past and the present.Just as The Ascent of Money put Wall Street into historical perspective, so The Square and the Tower does the same for Silicon Valley. And it offers a bold prediction about which hierarchies will withstand this latest wave of network disruption--and which will be toppled.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    We don't do a chemical analysis on food we eat.Trust and cooperation are the first problems we had to solve before we could become a social species. In the 21st century, they have become the most important problems we need to solve — again. Our global society has become so large and complex that our traditional trust mechanisms no longer work.Bruce Schneier, world-renowned for his level-headed thinking on security and technology, tackles this complex subject head-on. Society can't function without trust, and yet must function even when people are untrustworthy.Liars and Outliers reaches across academic disciplines to develop an understanding of trust, cooperation, and social stability. From the subtle social cues we use to recognize trustworthy people to the laws that punish the noncompliant, from the way our brains reward our honesty to the bank vaults that keep out the dishonest, keeping people cooperative is a delicate balance of rewards and punishments. It's a series of evolutionary tricks, social pressures, legal mechanisms, and physical barriers.In the absence of personal relationships, we have no choice but to substitute security for trust, compliance for trustworthiness. This progression has enabled society to scale to unprecedented complexity, but has also permitted massive global failures.At the same time, too much cooperation is bad. Without some level of rule-breaking, innovation and social progress become impossible. Society stagnates.Today's problems require new thinking, and Liars and Outliers provides that. It is essential that we learn to think clearly about trust. Our future depends on it.

    People can use economics and they can use statistics and numbers to get at the truth and there is a real appetite for doing so. This is such a BBC thing to say--there’s almost a public service mission to be fulfilled in educating people about economics. When I wrote The Undercover Economist, it was all about my pure enthusiasm for the subject; the book is full of stuff I wanted to say and that is always the thing with the books: they are always such fun to write. Do you think that people these days are generally more economically literate? People are now aware of economics for various reasons. There are the problems with the economy--there is always more interest in economics when it is all going wrong. Where is the border line in your new book between economics and sociology? I don’t draw a border line, and particularly not with the new book. The Undercover Economist was basically all the cool economics I could think of and The Logic of Life was me investigating a particular part of economics. All of the references in The Logic of Life were academic economics papers that I had related--and hopefully made more fun. This new book, Adapt, is very different. I have started by asking what is wrong with the world, what needs fixing, how does it work--and if economics can tell us something about that (which it can) then I have used it. And if economics is not the tool that you need--if you need to turn to sociology or engineering or biology or psychology--I have, in fact, turned to all of them in this book. If that’s what you need, then that’s where I have gone. So I have written this book in a different way: I started with a problem and tried to figure out how to solve it. What specific subjects do you tackle? To be a bit more specific, the book is about how difficult problems get solved and I look at quick change; the banking crisis; poverty; innovation, as I think there is an innovation slow-down; and the war in Iraq. Also, I look at both problems in business and in everyday life. Those are the big problems that I look at--and my conclusion is that these sorts of problems only ever get solved by trial and error, so when they are being solved, they are being solved through experimentation, which is often a bottom-up process. When they are not being solved it is because we are not willing to experiment, or to use trial and error. Do you think companies will change to be much more experimental, with more decisions placed in the hands of employees? I don’t think that is necessarily a trend, and the reason is that the market itself is highly experimental, so if your company isn’t experimental it may just happen to have a really great, successful idea--and that’s fine; if it doesn’t, it will go bankrupt. But that said, it is very interesting to look at the range of companies who have got very into experimentation--they range from the key-cutting chain Timpson’s to Google; you can’t get more different than those two firms, but actually the language is very similar; the recruitment policies are similar; the way the employees get paid is similar. The “strap line” of the book is that “Success always starts with failure.” You are a successful author… so what was the failure that set you up for success? I was working on a book before The Undercover Economist… it was going to be a sort of Adrian Mole/Bridget Jones’ Diary-styled fictional comedy, in which the hero was this economist and through the hilarious things that happened to him, all these economic principles would be explained--which is a great idea--but the trouble is that I am not actually funny. Another example would be my first job as a management consultant… and I was a terrible management consultant. I crashed out after a few months. Much better that, than to stick with the job for two or three years-- a lot of people say you have got to do that to “show your commitment.” Taking the job was a mistake--why would I need to show my commitment to a mistake? Better to realise you made a mistake, stop and do something else, which I did. That idea that “failure breeds success” is central to most entrepreneurs. Do you think we need more of it in the UK? I think that the real problem is not failure rates in business; the problem is failure rates in politics. We need a much higher failure rate in politics. What actually happens is politicians--and this is true of all political parties--have got some project and they’ll say, “Right, we are going to do this thing,” and it is quite likely that idea is a bad idea--because most ideas fail; the world is complicated and while I don’t have the numbers for this, most ideas are, as it turns out, not good ideas. But they never collect the data, or whatever it is they need to measure, to find out where their idea is failing. So they have this bad idea, roll this bad idea out and the bad idea sticks, costs the country hundreds, millions, or billions of pounds, and then the bad idea is finally reversed by the next party on purely ideological grounds and you never find out whether it really worked or not. So we have this very, very low willingness to collect the data that would be necessary to demonstrate failure, which is the bit we actually need. To give a brief example: Ken Livingstone, as Mayor of London, came along and introduced these long, bendy buses. Boris Johnson came along and said, “If you elect me, I am going to get rid of those big bendy buses and replace them with double-decker buses.” He was elected and he did it, so… which one of them is right? I don’t know. I mean, isn’t that crazy? I know democracy is a wonderful thing and we voted for Ken Livingstone and we voted for Boris Johnson, but it would be nice to actually have the data on passenger injury rates, how quickly people can get on and off these buses, whether disabled people are using these buses… the sort of basic evidence you would want to collect. Based on that, are you a supporter of David Cameron’s “Big Society”, which in a sense favours local experimentation over central government planning? Well, I have some sympathy for the idea of local experimentation, but what worries me is that we have to have some mechanism that is going to tell you what is working and what is not--and there is no proposal for that. Cameron’s Tories seem to have the view that ‘if it is local then it will work.’ In my book, I have all kinds of interesting case studies of situations where localism really would have worked incredibly well, as in, say, the US Army in Iraq. But I have also got examples of where localism did not work well at all--such as a corruption-fighting drive in Indonesia. Is the new book, Adapt, your movement away from economic rationalist to management guru? Are you going to cast your eye over bigger problems? The two changes in Adapt are that I have tried to start with the problem, rather than saying, “I have got a hammer--I’m going to look for a nail.” I started with a nail and said, “Ok, look, I need to get this hammered in.” So I have started with the problem and then looked anywhere for solutions. And the second thing is that I have tried to do is write with more of a narrative. This is not a Malcolm Gladwell book, but I really admire the way that people like Gladwell get quite complex ideas across because they get you interested in the story; that is something that I have tried to do more of here. I am not too worried about it, because I know that I am never going to turn into Malcolm Gladwell--I am always going to be Tim Harford--but it doesn’t hurt to nudge in a certain direction. On Amazon, we recommend new book ideas to people: “If you like Tim Harford you may like…”, but what does Tim Harford also like? I read a lot of books, mostly non-fiction and in two categories: people who I think write a lot better than I do, and people who think about economics more deeply than I do. In the first category I am reading people like Michael Lewis, Kathryn Schulz (I loved her first book, Being Wrong), Malcolm Gladwell and Alain de Botton. In the second category, I read lots of technical economics books, but I enjoy Steven Landsburg, Edward Glaeser (who has a book out now which looks good), Bill Easterly… I don’t necessarily agree with all of these people! When I am not reading non-fiction, I am reading comic books or 1980s fantasy authors like Jack Vance.

    

    About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.In this eye-opening book, renowned economist and bestselling author Tyler Cowen explains that phenomenon: High earners are taking ever more advantage of machine intelligence in data analysis and achieving ever-better results. Meanwhile, low earners who haven’t committed to learning, to making the most of new technologies, have poor prospects. Nearly every business sector relies less and less on manual labor, and this fact is forever changing the world of work and wages. A steady, secure life somewhere in the middle—average—is over.With The Great Stagnation, Cowen explained why median wages stagnated over the last four decades; in Average Is Over he reveals the essential nature of the new economy, identifies the best path forward for workers and entrepreneurs, and provides readers with actionable advice to make the most of the new economic landscape. It is a challenging and sober must-read but ultimately exciting, good news. In debates about our nation’s economic future, it will be impossible to ignore.

     Once one of Silicon Valley’s greatest success stories, Facebook has been under constant fire for the past five years, roiled by controversies and crises. It turns out that while the tech giant was connecting the world, they were also mishandling users’ data, spreading fake news, and amplifying dangerous, polarizing hate speech. The company, many said, had simply lost its way. But the truth is far more complex. Leadership decisions enabled, and then attempted to deflect attention from, the crises. Time after time, Facebook’s engineers were instructed to create tools that encouraged people to spend as much time on the platform as possible, even as those same tools boosted inflammatory rhetoric, conspiracy theories, and partisan filter bubbles. And while consumers and lawmakers focused their outrage on privacy breaches and misinformation, Facebook solidified its role as the world’s most voracious data-mining machine, posting record profits, and shoring up its dominance via aggressive lobbying efforts. Drawing on their unrivaled sources, Sheera Frenkel and Cecilia Kang take readers inside the complex court politics, alliances and rivalries within the company to shine a light on the fatal cracks in the architecture of the tech behemoth. Their explosive, exclusive reporting led them to a shocking conclusion: The missteps of the last five years were not an anomaly but an inevitability—this is how Facebook was built to perform. In a period of great upheaval, growth has remained the one constant under the leadership of Mark Zuckerberg and Sheryl Sandberg. Both have been held up as archetypes of uniquely 21st century executives—he the tech “boy genius” turned billionaire, she the ultimate woman in business, an inspiration to millions through her books and speeches. But sealed off in tight circles of advisers and hobbled by their own ambition and hubris, each has stood by as their technology is coopted by hate-mongers, criminals and corrupt political regimes across the globe, with devastating consequences. In An Ugly Truth, they are at last held accountable.

    Based on exhaustive research and interviews with driving experts and traffic officials around the globe, Traffic gets under the hood of the everyday activity of driving to uncover the surprisingly complex web of physical, psychological, and technical factors that explain how traffic works, why we drive the way we do, and what our driving says about us. Vanderbilt examines the perceptual limits and cognitive underpinnings that make us worse drivers than we think we are. He demonstrates why plans to protect pedestrians from cars often lead to more accidents. He shows how roundabouts, which can feel dangerous and chaotic, actually make roads safer and reduce traffic in the bargain. He uncovers who is more likely to honk at whom, and why. He explains why traffic jams form, outlines the unintended consequences of our quest for safety, and even identifies the most common mistake drivers make in parking lots. The car has long been a central part of American life; whether we see it as a symbol of freedom or a symptom of sprawl, we define ourselves by what and how we drive. As Vanderbilt shows, driving is a provocatively revealing prism for examining how our minds work and the ways in which we interact with one another. Ultimately, Traffic is about more than driving: it s about human nature. This book will change the way we see ourselves and the world around us. And who knows? It may even make us better drivers."

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    Levitt, co-author of Freakonomics - One of the best books of the year--NatureMary Aiken, the world's leading expert in forensic cyberpsychology, offers a starting point for all future conversations about how the Internet is shaping development and behavior, societal norms and values, children, safety, privacy, and our perception of the world. Drawing on her own research and extensive experience with law enforcement, Aiken covers a wide range of subjects, from the impact of screens on the developing child to the explosion of teen sexting and the acceleration of compulsive and addictive behaviors online. Aiken provides surprising statistics and incredible-but-true case studies of hidden trends that are shaping our culture and raising troubling questions about where the digital revolution is taking us.Praise for The Cyber Effect"How to guide kids in a hyperconnected world is one of the biggest challenges for today's parents. Mary Aiken clearly and calmly separates reality from myth. She clearly lays out the issues we really need to be concerned about and calmly instructs us on how to keep our kids safe and healthy in their digital lives."--Peggy Orenstein, author of the New York Times bestseller Girls & Sex"[A] fresh voice and a uniquely compelling perspective that draws from the murky, fascinating depths of her criminal case file and her insight as a cyber-psychologist . . . This is Aiken's cyber cri de coeur as a forensic scientist, and she wants everyone on the case."--The Washington Post"Fascinating . . . If you have children, stop what you are doing and pick up a copy of The Cyber Effect."--The Times (UK)"An incisive tour of sociotechnology and its discontents."--Nature"Just as Rachel Carson launched the modern environmental movement with her Silent Spring, Mary Aiken delivers a deeply disturbing, utterly penetrating, and urgently timed investigation into the perils of the largest unregulated social experiment of our time."--Bob Woodward"Mary Aiken takes us on a fascinating, thought-provoking, and at times scary journey down the rabbit hole to witness how the Internet is changing the human psyche. A must-read for anyone who wants to understand the temptations and tragedies of cyberspace."--John R. Suler, PhD, author of The Psychology of Cyberspace"Drawing on a fascinating and mind-boggling range of research and knowledge, Mary Aiken has written a great, important book that terrifies then consoles by pointing a way forward so that our experience online might not outstrip our common sense."--Steven D. Levitt"Having worked with law enforcement groups from INTERPOL and Europol as well as the U.S. government, Aiken knows firsthand how today's digital tools can be exploited by criminals lurking in the Internet's Dark Net."--Newsweek

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Some say it has gone. In The Future of Ideas, Lawrence Lessig explains how the revolution has produced a counterrevolution of potentially devastating power and effect. Creativity once flourished because the Net protected a commons on which widest range of innovators could experiment. But now, manipulating the law for their own purposes, corporations have established themselves as virtual gatekeepers of the Net while Congress, in the pockets of media magnates, has rewritten copyright and patent laws to stifle creativity and progress.Lessig weaves the history of technology and its relevant laws to make a lucid and accessible case to protect the sanctity of intellectual freedom. He shows how the door to a future of ideas is being shut just as technology is creating extraordinary possibilities that have implications for all of us. Vital, eloquent, judicious and forthright, The Future of Ideas is a call to arms that we can ill afford to ignore.