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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

by Seth Stephens-Davidowitz
$9.90
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Unmasking humanity through the lens of big data.

If you’re intrigued by the workings of the human mind and how our true selves are revealed through our online actions, "Everybody Lies" is a read you shouldn't miss. Seth Stephens-Davidowitz will take you on a deep dive into the ocean of big data, where our collective online footprint tells us more about societal truths than we might expect. It's a compelling blend of sociology, psychology, and data science, told with the kind of wit that makes the medicine of truth go down with a laugh.

  • Goodreads Choice Award Nominee for Science & Technology (2017)
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
New

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

by Seth Stephens-Davidowitz
$9.90
ISBN: 9780062390868
Authors: Seth Stephens-Davidowitz
Publisher: Dey Street Books
Date of Publication: 2018-02-20
Format: Paperback
Related Collections: Business, Sociology, Economics, Science, Politics
Related Topics: Sociology, Social Issues, Psychology, Social Science, Technology, Politics, Economics
Goodreads rating: 3.91
(rated by 40117 readers)

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Condition guide

Book Condition Guide

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This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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Unmasking humanity through the lens of big data.

If you’re intrigued by the workings of the human mind and how our true selves are revealed through our online actions, "Everybody Lies" is a read you shouldn't miss. Seth Stephens-Davidowitz will take you on a deep dive into the ocean of big data, where our collective online footprint tells us more about societal truths than we might expect. It's a compelling blend of sociology, psychology, and data science, told with the kind of wit that makes the medicine of truth go down with a laugh.

  • Goodreads Choice Award Nominee for Science & Technology (2017)
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.