One million people can create new market for a business, spark a social movement, or effect political change. In 1996, a microtrend identified by Penn ("soccer moms") was crucial in re-electing President Clinton. With years of experience as one of world's most highly regarded pollsters, Mark Penn identifies the new microtrends sweeping the world: *Single women by choice: More often than ever before, they aren't waiting for Mr. Right. They are raising children by themselves and buying their own homes.*Splitters: A growing number of middle-class residents are shuttling between two homes, creating new communities and dynamics in the real estate market.*Sun Haters: Environmentalists, skin cancer survivors, and parents concerned about the impact the sun is having on our health.*Philo-semites: A growing number of people want to date Jewish men and women.*Classical Music Dads: Older men who are fathers in their 40's and 50's and taking on a larger role in the nurturing of their children and becoming an important factor in consumer culture for kids. Penn highlights everything from religion to politics, from leisure pursuits to relationships. MICROTRENDS will take the reader deep into the worlds of polling, targeting, and psychographic analysis, reaching tantalizing conclusions through engaging analysis.

    Its sweeping synthesis casts fresh light on our new forms of marriage and family, on today's dramatic changes in business and economics. It explains the role of cults, the new definitions of work, play, love, and success. It points toward new forms of twenty-first-century democracy.

    Jon infuses this engaging story with keen insights as he provides a powerful roadmap to overcome adversity and bring out the best in yourself and your team. When you get on The Energy Bus you'll enjoy the ride of your life!

    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.

    It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we’ll be discussing these issues long after the last page is turned.

    Suppose that different food inspectors give different ratings to indistinguishable restaurants — or that when a company is handling customer complaints, the resolution depends on who happens to be handling the particular complaint. Now imagine that the same doctor, the same judge, the same inspector, or the same company official makes different decisions, depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical.   In Noise, Daniel Kahneman, Cass R. Sunstein, and Olivier Sibony show how noise contributes significantly to errors in all fields, including medicine, law, economic forecasting, police behavior, food safety, bail, security checks at airports, strategy, and personnel selection. And although noise can be found wherever people make judgments and decisions, individuals and organizations alike are commonly oblivious to the role of chance in their judgments and in their actions.   Drawing on the latest findings in psychology and behavioral economics, and the same kind of diligent, insightful research that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment — and what we can do about it.