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  • 1
    UID:
    gbv_1625843186
    Format: xi, 338 Seiten , Illustrationen, Diagramme, Karten , 22 cm
    Edition: First edition
    ISBN: 9780062390868 , 9780062390851
    Content: How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys -- and themselves. However, we no longer need to rely on what people tell us. New data from the internet -- the traces of information that billions of people leave on Google, social media, dating, and even pornography sites -- finally reveals the truth. By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply disturb you. But, always, this new data will make you think.--
    Language: English
    Subjects: Computer Science , General works , Sociology
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    Keywords: Big Data ; Psychologie ; Internet ; Big Data ; Datenanalyse ; Verhaltensmuster ; Data Mining ; Falschaussage ; Big Data ; Psychologie ; Internet ; Data Mining ; Big Data ; Psychologie ; Internet ; Data Mining
    Author information: Pinker, Steven 1954-
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  • 2
    UID:
    almafu_BV044363284
    Format: XI, 338 Seiten : , Illustrationen, Diagramme.
    Edition: First edition
    ISBN: 978-0-06-239085-1 , 978-0-06-239086-8
    Language: English
    Subjects: Computer Science , General works , Sociology
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    Keywords: Big Data ; Datenanalyse ; Verhaltensmuster ; Humanethologie
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  • 3
    UID:
    kobvindex_COL70816
    Format: 388, [3] strony , 22 cm , ilustracje
    Edition: Wydanie pierwsze
    ISBN: 9788308069516
    Note: Indeks
    Language: Polish
    Subjects: Sociology
    RVK:
    Author information: Pinker, Steven 1954-
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  • 4
    UID:
    kobvindex_ZLB34927488
    ISBN: 9781526605139
    Content: " THE NEW BOOK FROM THE BESTSELLING AUTHOR OF EVERYBODY LIES ' Don't Trust Your Gu t is a tour de force - an intoxicating blend of analysis, humor, and humanity' DANIEL H. PINK 'Seth Stephens-Davidowitz is an expert on data-driven thinking, and this engaging book is full of surprising, useful insights for using the information at your fingertips to make better decisions' ADAM GRANT Big decisions are hard. We might consult friends and family, read advice online or turn to self-help books for guidance, but in the end we usually just do what feels right. But what if our gut is wrong? As economist and former Google data scientist Seth Stephens-Davidowitz argues, our gut is actually not that reliable 8211 and data can prove this. In Don't Trust Your Gut, he unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Over the past decade, scholars have mined enormous datasets to find remarkable new approaches to life's biggest self-help puzzles, from the boring careers that produce the most wealth, to old-school, data-backed relationship advice. While we often think we know how to better ourselves, the numbers, it turns out, disagree. Telling fascinating stories through the latest big data research, Stephens-Davidowitz reveals just how wrong we really are when it comes to improving our lives, and offers a new way of tackling our most consequential choices."
    Content: Rezension(1): "Publishers Weekly:Stephens-Davidowitz maintains a breezy, conversational style that lends a lighthearted touch to all the wonkery. Whether confirming or debunking conventional wisdom, the smooth presentation and quantitative detail bring a welcome analytical rigor to the self-help genre"
    Language: English
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  • 5
    UID:
    kobvindex_ZLB34771448
    Edition: Unabridged
    ISBN: 9780062563538
    Content: " Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world8212 provided we ask the right questions. By the end of on average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information8212 unprecedented in history8212 can tell us a great deal about who we are8212 the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn't vote for Barack Obama because he's black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who's more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential8212 revealing biases deeply embedded within us, information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health8212 both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world. "
    Content: Biographisches: " Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. His research has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City. " Rezension(2): "〈a href=http://lj.libraryjournal.com/ target=blank〉〈img src=https://images.contentreserve.com/libraryjournal_logo.png alt=Library Journal border=0 /〉〈/a〉: July 1, 2017 Fake news may be the current buzz words, but personal truths have never been so tangible thanks to data scientists. Stephens-Davidowitz (former Google data scientist and current New York Times columnist) unpacks this telling data, explaining exactly how people lie every day. Mining data from Google Searches to niche sites such as PornHub, it becomes quickly evident that digital data reveals more human truths than any formally conducted survey. Be warned,some of this information may be disturbing as there is no doctoring the digital accuracy when it comes to queries on sex, race, gender, and politics. These hidden revelations shed light on the potential for even deeper exploration of the human psyche as more academics embrace the use of Big Data for research. After reading this pivotal work, personal Google searches will never be the same. As for our author, he is banking that human curiosity outweighs self-censor for he has more big lies to explore. VERDICT 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.--Angela Forret, Clive P.L., IA Copyright 2017 Library Journal, LLC Used with permission. " Rezension(3): "〈a href=http://www.kirkusreviews.com target=blank〉〈img src=https://images.contentreserve.com/kirkus_logo.png alt=Kirkus border=0 /〉〈/a〉: April 1, 2017 If your pal swears to God that he'll repay a loan, write it off: a tour of the many things that big data can tell us about ourselves.Trained as an economist and a philosopher, Stephens-Davidowitz, a former data scientist at Google, ventures into sociology and psychology with his look at the corpus of search terms run through that site, a bizarre dataset that often yields uncomfortable results, revealing hidden reservoirs of racism, sexual insecurity, hypocrisy, and outright dishonesty. For instance, he writes, so-called undecided voters usually aren't undecided at all,if researching political issues using phrases such as Trump Clinton taxes, one's vote will almost always go to the candidate named first. Pollsters predicted a heavy turnout of African-American voters in favor of Hillary Clinton, but those voters didn't show up. Meanwhile, the data that Stephens-Davidowitz sifts through reveal a strongly racially motivated vote on the part of whites, speaking to a nasty, scary and widespread rage that was waiting for a candidate to give voice to it, even though those same people would profess publicly to being beyond issues of race and indeed postracial, in that quaint term of yore. Some of the author's other findings concern social tells, in the language of gambling, such as the hedge words someone might use in conversation: Fellas, if a woman...'sorta' likes her drink or 'kinda' feels chilly...you can bet that she is 'sorta' 'kinda' 'probably' not into you. Yet this book has broader implications than one's chances of success at a singles mixer. Stephens-Davidowitz looks, for example, at the statistics surrounding political assassination and what happens to a government afterward, recidivism among prison inmates (the harsher the conditions, the more likely a return to crime), the correlation of education and financial success, the keywords of lying, and other big-picture questions. Statistics wonks will find much of interest in this survey. For the rest of us, this book offers as many reasons to be dispirited about the human condition as the daily headlines. COPYRIGHT(2017) Kirkus Reviews, ALL RIGHTS RESERVED. "
    Language: English
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  • 6
    UID:
    kobvindex_ZLB34900921
    ISBN: 9780062880932
    Content: " Seth Stephens-Davidowitz is more than a data scientist. He is a prophet for how to use the data revolution to reimagine your life. Don't Trust Your Gut is a tour de force8212 an intoxicating blend of analysis, humor, and humanity. 8212Daniel H. Pink, #1 New York Times bestselling author of When, Drive, and To Sell Is Human Big decisions are hard. We consult friends and family, make sense of confusing expert advice online, maybe we read a self-help book to guide us. In the end, we usually just do what feels right, pursuing high stakes self-improvement8212 such as who we marry, how to date, where to live, what makes us happy8212 based solely on what our gut instinct tells us. But what if our gut is wrong? Biased, unpredictable, and misinformed, our gut, it turns out, is not all that reliable. And data can prove this. In Don't Trust Your Gut, economist, former Google data scientist, and New York Times bestselling author Seth Stephens-Davidowitz reveals just how wrong we really are when it comes to improving our own lives. In the past decade, scholars have mined enormous datasets to find remarkable new approaches to life's biggest self-help puzzles. Data from hundreds of thousands of dating profiles have revealed surprising successful strategies to get a date,data from hundreds of millions of tax records have uncovered the best places to raise children,data from millions of career trajectories have found previously unknown reasons why some rise to the top. Telling fascinating, unexpected stories with these numbers and the latest big data research, Stephens-Davidowitz exposes that, while we often think we know how to better ourselves, the numbers disagree. Hard facts and figures consistently contradict our instincts and demonstrate self-help that actually works8212 whether it involves the best time in life to start a business or how happy it actually makes us to skip a friend's birthday party for a night of Netflix on the couch. From the boring careers that produce the most wealth, to the old-school, data-backed relationship advice so well-worn it's become a literal joke, he unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Lively, engrossing, and provocative, the end result opens up a new world of self-improvement made possible with massive troves of data. Packed with fresh, entertaining insights, Don't Trust Your Gut redefines how to tackle our most consequential choices, one that hacks the market inefficiencies of life and leads us to make smarter decisions about how to improve our lives. Because in the end, the numbers don't lie. "
    Content: Biographisches: " Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. His research has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City. " Rezension(2): " Daniel H. Pink, #1 New York Times bestselling author of When, Drive, and To Sell Is Human : Seth Stephens-Davidowitz is more than a data scientist. He is a prophet for how to use the data revolution to reimagine your life. Don't Trust Your Gut is a tour de force8212" Rezension(3): "〈a href=http://www.publishersweekly.com target=blank〉〈img src=https://images.contentreserve.com/pw_logo.png alt=Publisher's Weekly border=0 /〉〈/a〉: March 21, 2022 “Big Data can help you” make better decisions, suggests New York Times op-ed contributor Stephens-Davidowitz ( Everybody Lies ) in this snappy guide. Taking a “Moneyball for your life” approach to self-help, the author uses data set analysis to advise on such areas as professional success, athletic talent, happiness, and love. On choosing a partner, the author examines data from dating sites to reveal that good partners tend to be happy, conscientious, and possess a growth mindset, but are not necessarily conventionally attractive. Research on educational and economic outcomes show that the most consequential decision most parents can make about their children’s future is where to raise them, the author posits, and IRS tax data indicates that those looking for financial success should aspire to run such competition-limited businesses as car dealerships. The author’s exploration of a massive happiness study reveals a mix of the expected (people like sex) and the surprising (people don’t enjoy computer games much). Stephens-Davidowitz maintains a breezy, conversational style that lends a lighthearted touch to all the wonkery. Whether confirming or debunking conventional wisdom, the smooth presentation and quantitative detail bring a welcome analytical rigor to the self-help genre."
    Language: English
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  • 7
    UID:
    kobvindex_ZLB35075239
    Format: 301 Seiten , Illustrationen, Diagramme , 21.5 cm x 14.5 cm, 544 g
    Edition: 1. Auflage
    ISBN: 9783868819281 , 3868819282
    Content: Daten schlagen Intuition Entscheidungen treffen ist nicht immer leicht. Im Zweifel entscheiden viele dabei nach Bauchgefühl. Was sich gut anfühlt, wird schließlich auch gut sein, oder? Doch unsere Intuition ist weit weniger zuverlässig, als wir glauben, wie Seth Stephens-Davidowitz in seinem Buch unterhaltsam belegt. Der frühere Google-Datenwissenschaftler und Bestsellerautor zeigt auf Basis der neuesten Big-Data-Forschung und anhand von vielen lustigen Anekdoten, wie leicht wir oft falschliegen, wenn es darum geht, instinktiv die richtige Wahl zu treffen. Von überraschenden Erfolgsstrategien beim Dating bis hin zu außergewöhnlichen Karriereboostern sein Buch ist voll von verblüffenden Erkenntnissen darüber, was uns Daten, auch über uns selbst, verraten, und wie sie unser Leben zuverlässig einfacher machen
    Language: German
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  • 8
    UID:
    kobvindex_ZLB34022805
    ISBN: 9780062390875
    Content: " Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—,rovided we ask the right questions. By the end of on average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—,nprecedented in history—,an tell us a great deal about who we are—,he fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn't vote for Barack Obama because he's black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who's more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—,evealing biases deeply embedded within us, information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health—,oth emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world. "
    Content: Rezension(1): " Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at The Wharton School, and a former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research—,hich uses new, big data sources to uncover hidden behaviors and attitudes—,as appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City. " Rezension(2): "Steven Pinker, author of The Better Angels of Our Nature :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." Rezension(3): "Lawrence Summers, President Emeritus and Charles W. Eliot University Professor of Harvard University: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." Rezension(4): "Tim Wu, author of The Attention Merchants :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." Rezension(5): " Fortune , Best New Business Books: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." Rezension(6): "Raj Chetty, Professor of Economics at Stanford University: Freakonomics on steroids—,his 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." Rezension(7): "Christian Rudder, author of Dataclysm : 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." Rezension(8): "Peter Orszag, Managing Director, Lazard and former Director of the Office of Management and Budget:A tour de force—, 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." Rezension(9): "New York Post: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." Rezension(10): "Steven Levitt, co-author, Freakonomics: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." Rezension(11): "The Economist: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." Rezension(12): "Library Journal: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." Rezension(13): "〈a href=http://www.kirkusreviews.com target=blank〉〈img src=https://images.contentreserve.com/kirkus_logo.png alt=Kirkus border=0 /〉〈/a〉: April 1, 2017 If your pal swears to God that he'll repay a loan, write it off: a tour of the many things that big data can tell us about ourselves.Trained as an economist and a philosopher, Stephens-Davidowitz, a former data scientist at Google, ventures into sociology and psychology with his look at the corpus of search terms run through that site, a bizarre dataset that often yields uncomfortable results, revealing hidden reservoirs of racism, sexual insecurity, hypocrisy, and outright dishonesty. For instance, he writes, so-called undecided voters usually aren't undecided at all,if researching political issues using phrases such as Trump Clinton taxes, one's vote will almost always go to the candidate named first. Pollsters predicted a heavy turnout of African-American voters in favor of Hillary Clinton, but those voters didn't show up. Meanwhile, the data that Stephens-Davidowitz sifts through reveal a strongly racially motivated vote on the part of whites, speaking to a nasty, scary and widespread rage that was waiting for a candidate to give voice to it, even though those same people would profess publicly to being beyond issues of race and indeed postracial, in that quaint term of yore. Some of the author's other findings concern social tells, in the language of gambling, such as the hedge words someone might use in conversation: Fellas, if a woman...'sorta' likes her drink or 'kinda' feels chilly...you can bet that she is 'sorta' 'kinda' 'probably' not into you. Yet this book has broader implications than one's chances of success at a singles mixer. Stephens-Davidowitz looks, for example, at the statistics surrounding political assassination and what happens to a government afterward, recidivism among prison inmates (the harsher the conditions, the more likely a return to crime), the correlation of education and financial success, the keywords of lying, and other big-picture questions. Statistics wonks will find much of interest in this survey. For the rest of us, this book offers as many reasons to be dispirited about the human condition as the daily headlines. COPYRIGHT(2017) Kirkus Reviews, ALL RIGHTS RESERVED. " Rezension(14): "〈a href=http://lj.libraryjournal.com/ target=blank〉〈img src=https://images.contentreserve.com/libraryjournal_logo.png alt=Library Journal border=0 /〉〈/a〉: July 1, 2017 Fake news may be the current buzz words, but personal truths have never been so tangible thanks to data scientists. Stephens-Davidowitz (former Google data scientist and current New York Times columnist) unpacks this telling data, explaining exactly how people lie every day. Mining data from Google Searches to niche sites such as PornHub, it becomes quickly evident that digital data reveals more human truths than any formally conducted survey. Be warned,some of this information may be disturbing as there is no doctoring the digital accuracy when it comes to queries on sex, race, gender, and politics. These hidden revelations shed light on the potential for even deeper exploration of the human psyche as more academics embrace the use of Big Data for research. After reading this pivotal work, personal Google searches will never be the same. As for our author, he is banking that human curiosity outweighs self-censor for he has more big lies to explore. VERDICT 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.--Angela Forret, Clive P.L., IA Copyright 2017 Library Journal, LLC Used with permission. "
    Language: English
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  • 9
    Book
    Book
    New York, NY :Dey St., an imprint of William Morrow,
    UID:
    kobvindex_INT73738
    Format: 307 pages : , illustrations ; , 22 cm
    Edition: First edition.
    ISBN: 9780062880918 , 0062880918 , 9780063239371 , 006323937X
    Content: You know less than you think you do - about what makes you healthy, what makes you rich, who you should date, where you should live. You know less than you think you do about how to raise your children, or, for that matter, whether you should have children in the first place. Seth Stephens-Davidowitz showed how big data is revolutionising the social sciences. He shows how big data can help us find answers to some of the most important questions we face - and how these answers can radically improve our lives.
    Note: Introduction: Self-help for data geeks -- The AI marriage -- Location. Location. Location. The secret to great parenting -- The likeliest path to athletic greatness if you have no talent -- Who is secretly rich in America? -- The long, boring slog of success -- Hacking luck to your advantage -- Makeover: nerd edition -- The life-changing magic of leaving your couch -- The misery-inducing traps of modern life -- Conclusion.
    Language: English
    Keywords: Self-help publications ; Self-help publications. ; Livres de croissance personnelle.
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