Everybody Lies: The New York Times Bestseller
Business & Investing,Seth Stephens-Davidowitz
Everybody Lies: The New York Times Bestseller Download eBook PDF e Epub, Livre eBook France Telecharger Everybody Lies: The New York Times Bestseller PDF e EPUB - EpuBook Everybody Lies: The New York Times Bestseller Télécharger PDF e EPUB - EpuBook Telecharger Everybody Lies: The New York Times Bestseller PDF e EPUB - EpuBook
Broché : 352 pagesAuteur : Seth Stephens-Davidowitz
Collection : Business & Investing
ISBN-10 :
Format : Ebook Kindle
Date de Publication : 2017-05-29
Le Titre Du Livre : Everybody Lies: The New York Times Bestseller
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Nom de fichier : everybody-lies-the-new-york-times-bestseller.pdf
La taille du fichier : 23.15 MB
Insightful, surprising and with ground-breaking revelations about our society, Everybody Lies exposes the secrets embedded in our internet searches, with a foreword by bestselling author Steven Pinker
Everybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess their secrets – about sexless marriages, mental health problems, even racist views. Seth Stephens-Davidowitz, an economist and former Google data scientist, shows that this could just be the most important dataset ever collected.
This huge database of secrets – unprecedented in human history – offers astonishing, even revolutionary, insights into humankind. Anxiety, for instance, does not increase after a terrorist attack. Crime levels drop when a violent film is released. And racist searches are no higher in Republican areas than in Democrat ones.
Stephens-Davidowitz reveals information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health – both emotional and physical. Insightful, funny, and always surprising, Everybody Lies exposes the biases and secrets embedded deeply within us, at a time when things are harder to predict than ever.Rang parmi les ventes Amazon: #57344 dans eBooksPublié le: 2017-05-29Sorti le: 2017-05-29Format: Ebook KindlePrésentation de l'éditeurInsightful, surprising and with ground-breaking revelations about our society, Everybody Lies exposes the secrets embedded in our internet searches, with a foreword by bestselling author Steven PinkerEverybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess their secrets – about sexless marriages, mental health problems, even racist views. Seth Stephens-Davidowitz, an economist and former Google data scientist, shows that this could just be the most important dataset ever collected.This huge database of secrets – unprecedented in human history – offers astonishing, even revolutionary, insights into humankind. Anxiety, for instance, does not increase after a terrorist attack. Crime levels drop when a violent film is released. And racist searches are no higher in Republican areas than in Democrat ones. Stephens-Davidowitz reveals information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health – both emotional and physical. Insightful, funny, and always surprising, Everybody Lies exposes the biases and secrets embedded deeply within us, at a time when things are harder to predict than ever.Revue de presse“This book is about a whole new way of studying the mind . . . an unprecedented peek into people’s psyches . . . Time and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz’s discoveries . . . endlessly fascinating.” (Steven Pinker, author of The Better Angels of Our Nature)“Move over Freakonomics. Move over Moneyball. This brilliant book is the best demonstration yet of how big data plus cleverness can illuminate and then move the world. Read it and you’ll see life in a new way.” (Lawrence Summers, President Emeritus and Charles W. Eliot University Professor of Harvard University)“Everybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating, shocking, sometimes horrifying, but above all, revealing.” (Tim Wu, author of The Attention Merchants)“Brimming with intriguing anecdotes and counterintuitive facts, Stephens-Davidowitz does his level best to help usher in a new age of human understanding, one digital data point at a time.” (Fortune, Best New Business Books)“Freakonomics on steroids—this book shows how big data can give us surprising new answers to important and interesting questions. Seth Stephens-Davidowitz brings data analysis alive in a crisp, witty manner, providing a terrific introduction to how big data is shaping social science.” (Raj Chetty, Professor of Economics at Stanford University)“Everybody Lies is a spirited and enthralling examination of the data of our lives. Drawing on a wide variety of revelatory sources, Seth Stephens-Davidowitz will make you cringe, chuckle, and wince at the people you thought we were.” (Christian Rudder, author of Dataclysm)“A tour de force—a well-written and entertaining journey through big data that, along the way, happens to put forward an important new perspective on human behavior itself. If you want to understand what’s going on in the world, or even with your friends, this is one book you should read cover to cover.” (Peter Orszag, Managing Director, Lazard and former Director of the Office of Management and Budget)“Stephens-Davidowitz, a former data scientist at Google, has spent the last four years poring over Internet search data . . . What he found is that Internet search data might be the Holy Grail when it comes to understanding the true nature of humanity.” (New York Post)“Everybody Lies is an astoundingly clever and mischievous exploration of what big data tells us about everyday life. Seth Stephens-Davidowitz is as good a data storyteller as I have ever met.” (Steven Levitt, co-author, Freakonomics )“A whirlwind tour of the modern human psyche using search data as its guide. . . . The empirical findings in Everybody Lies are so intriguing that the book would be a page-turner even if it were structured as a mere laundry list.” (The Economist)“Pivotal . . . A book for those who are intensely curious about human nature, informational analysis, and amusing anecdotes to the tune of Steven Levitt and Stephen Dubner’s Freakanomics.” (Library Journal)Présentation de l'éditeurInsightful, surprising and with ground-breaking revelations about our society, Everybody Lies exposes the secrets embedded in our internet searches, with a foreword by bestselling author Steven PinkerEverybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess their secrets – about sexless marriages, mental health problems, even racist views. Seth Stephens-Davidowitz, an economist and former Google data scientist, shows that this could just be the most important dataset ever collected.This huge database of secrets – unprecedented in human history – offers astonishing, even revolutionary, insights into humankind. Anxiety, for instance, does not increase after a terrorist attack. Crime levels drop when a violent film is released. And racist searches are no higher in Republican areas than in Democrat ones. Stephens-Davidowitz reveals information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health – both emotional and physical. Insightful, funny, and always surprising, Everybody Lies exposes the biases and secrets embedded deeply within us, at a time when things are harder to predict than ever.
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Vous trouverez ci-dessous quelques critiques les plus utiles sur Everybody Lies: The New York Times Bestseller. Vous pouvez considérer cela avant de décider d'acheter / lire ce livre.0 internautes sur 0 ont trouvé ce commentaire utile.Le Big Data pour tousPar MichelNizonIl y a des livres, rares, qui vous font croire que vous êtes plus intelligent que sans doute vous ne l'êtes réellement. Everybody Lies en fait partie et je ne vous mens pas. A Must Read pour tous ceux qui s'intéressent de près ou de loin, par simple curiosité ou pour leur job au Big Data ou Small Data...
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