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010 _a 2017297094
020 _a9781408894736 (pbk.)
020 _a9780062390851
_q(hardcover)
020 _a0062390856
_q(hardcover)
035 _a(OCoLC)ocn985108386
040 _aBLR
_beng
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050 0 0 _aQA76.9.D343
_bS68515 2017
082 0 4 _a302.231 STE
_223
_b019046
082 0 4 _a006.3/12
_223
084 _aCOM079000
_aCOM021030
_aSOC022000
_2bisacsh
100 1 _aStephens-Davidowitz, Seth,
_eauthor.
245 1 0 _aEverybody lies :
_bwhat the Internet can tell us about who we really are /
_cSeth Stephens-Davidowitz.
250 _aFirst edition.
264 1 _aLondon.
_bBloomsbury,
_c2017.
264 4 _c©2017
300 _axi, 338 pages :
_billustrations (some color), maps ;
_c20 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references (pages 289-318) and index.
505 0 _aIntroduction: The outlines of a revolution -- Your faulty gut -- Was Freud right? -- Data reimagined -- Digital truth serum -- Zooming in -- All the world's a lab -- Big data, big schmata? What it cannot do -- Mo data, mo problems? What we shouldn't do -- Conclusion: How many people finish books?
508 _aForeword written by Steven Pinker.
520 _aHow 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.--
650 0 _aData mining
_xSocial aspects.
650 0 _aBig data
_xSocial aspects.
650 0 _aInternet
_xSocial aspects.
650 4 _aInternet
_xSocial aspects.
650 7 _aBUSINESS & ECONOMICS
_xInformation Management.
_2bisacsh
650 7 _aCOMPUTERS
_xDatabases
_xData Mining.
_2bisacsh
650 7 _aSOCIAL SCIENCE
_xPopular Culture.
_2bisacsh
650 7 _aMassendaten
_2gnd
650 7 _aInternet
_2gnd
650 7 _aDatabases
_xSocial aspects.
_2sears
650 7 _aInternet
_xSocial aspects.
_2sears
700 1 _aPinker, Steven,
_d1954-
_ewriter of foreword.
906 _a7
_bcbc
_ccopycat
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942 _2ddc
_cBK
999 _c19704
_d19704