Gratis Bücher Everybody Lies: The New York Times Bestseller, by Seth Stephens-Davidowitz

Gratis Bücher Everybody Lies: The New York Times Bestseller, by Seth Stephens-Davidowitz

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Everybody Lies: The New York Times Bestseller, by Seth Stephens-Davidowitz

Gratis Bücher Everybody Lies: The New York Times Bestseller, by Seth Stephens-Davidowitz

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Time and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz's discoveries (Steven Pinker, author of The Better Angels of Our Nature)Absorbing and impassioned ... as an introduction to our fascinating new universe of data, Everybody Lies is hard to beat (Financial Times)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)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 of Harvard University)A whirlwind tour of the modern human psyche . 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 (Economist)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)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)A sobering guide to how much of ourselves we're putting online and what private companies might do with that information (Helen Lewis New Statesman 'Books of the Year')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 behaviour itself (Peter Orszag, Managing Director, Lazard)

Werbetext

THE NEW YORK TIMES BESTSELLERAN ECONOMIST BOOK OF THE YEARA NEW STATESMAN BOOK OF THE YEAR

Alle Produktbeschreibungen

Produktinformation

Taschenbuch: 352 Seiten

Verlag: Bloomsbury Publishing (19. April 2018)

Sprache: Englisch

ISBN-10: 1408894734

ISBN-13: 978-1408894736

Größe und/oder Gewicht:

19,6 x 3,2 x 12,8 cm

Durchschnittliche Kundenbewertung:

3.9 von 5 Sternen

11 Kundenrezensionen

Amazon Bestseller-Rang:

Nr. 3.862 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

Nichts Geringeres als eine Zeitenwende kündigt der Autor für die empirische Sozialforschung an: Daten, wie sie mit der breiten Nutzung des Internets quasi als Nebenprodukte entstehen, liefern wissenschaftlich ungleich mehr an verwertbarem Material, als das bisher klassische "paper & pencil-Tests" tun. Vermutlich liegt er damit richtig. (Hinter)Gründe dafür bereitet "Everybody lies" luzide und unterhaltsam auf: Die Bandbreite dessen, was als "Daten" nutzbar wird, erweitert sich - bis zur Analyse von Suchanfragen an Google oder Pornoseiten. Was Menschen beim privaten Surfen an Information hinterlassen, ist wenig verzerrt vom Schielen nach "sozialer Erwünschtheit" und entspricht ihren tatsächlichen Einstellungen und Wünschen. Die Masse von "big data" erlaubt es, auch in kleine Gruppen und ausgefallene Fragen "hineinzuzoomen". Und das Internet liefert uns nicht nur die Daten für interessante neue Hypothesen, sondern erlaubt uns auch, diese auf kurzem Weg abzutesten.Weniger explizit ist der Autor bei den Hürden und Kehrseiten auf dem Weg zur Verwirklichung dieser Vision: Harte Daten (z.B. Häufigkeiten, absolute Zahlen) liegen und bleiben bei Google & Co. (Was auch erklärt, warum einige der vom Autor als "User" recherchierten Google-Auswertungen im Buch recht schwammig daherkommen.) Die wissenschaftliche Methodik bei der Selektion von Daten im Datenmeer scheint noch in den Anfängen zu stecken. (Ehe man sich's versieht, definieren Fragen und Suchbegriffe schon das Ergebnis.) Und bei der Vielzahl der parallel rechenbaren Korrelationen wird auch - im Rahmen der Irrtumswahrscheinlichkeit - die Zahl von Nonsense-Ergebnissen steigen, die dann medial knallige Headlines hergeben. Was wiederum die Glaubwürdigkeit der Medien wie der Sozialwissenschaften weiter unterminieren dürfte ...

Seth Stephens-Davidowitz is writing about something I find intriguing and has a mind that I find not unlike mine - unusual points of view. To the extreme. Also, I am - like him - a very big fan of Steven Pinker. In his book he makes some very good observations, BUT:Unlike S. Pinker I do not get the data and statistics behind his findings. Which I found to be a bit of a let-down.I do admire Buffett, Gates, Zuckerberg. But how do they stack up against others who attended prestigious colleges? Why do I not get a comparison between them? The same applies for other facts given in the book. The data behind his findings remain a mystery.The other thing I disliked a bit is the feeling that the book was written after a big data analysis. Similar to the squirrel getting a bigger role after the movie studios found out that he got a lot sympathy from the audience (Ice Age).That's why I gave it a three star rating rather than the five stars it deserves.

Was verrät über uns das Suchverhalten im Internet? Offenbar einiges. Seth Stephens-Davidowitz These über 'secret racism' in den USA erklärt eventuell das Ergebnis der letzten Präsidentschaftswahlen - und wurde zuerst von mehreren Journals abgelehnt.

Very Good Look into the Potential of Sarah science. Does a good Job to describe complex studies in a comprihensible and entertainment way.

Ein tolles Buch! Es führt uns in die Abgründe der menschlichen Seele (und zurück).

Seth Stephens-Davidowitz vermittelt dem Leser auf eine eindrückliche Art und Weise das grosse Potential von Big Data und dessen Auswirkungen auf die unterschiedlichsten Disziplinen (z.B. Sozialwissenschaften oder Medizin). Er unterlässt es dabei nicht, auch die Limitierungen und Gefahren von Big Data zu thematisieren. Das Buch ist nicht im akademischen Stil verfasst, sehr flüssig geschrieben und mit vielen, zum Teil verblüffenden Beispielen, angereichert. Ich kann das Buch als sehr lesenswert empfehlen.

Very entertaining book applying a new way to look at things. Big datais a buzzword and here it comes to life using Google analytics. Most examples/findings are just of entertaining nature and dont tell you much but they show easily the application of analytics on big data.I find this way more believable than pseudo scientific experiments with a handful of students in a lab. We might need to revisit what we think is science and what not

I was very pleased with this book that covers new research, partially from the author's Ph.D. theses, that I found informative and at times surprising. As a researcher I have conducted surveys myself and the notion that these miss part of the story, even when they are anonymous, seems plausible to me. I consumed the book in 2 days.

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Everybody Lies: The New York Times Bestseller, by Seth Stephens-Davidowitz PDF