Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Paperback - 2018
by Stephens-Davidowitz, Seth
- Used
Description
Standard delivery: 2 to 8 days
Details
- Title Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
- Author Stephens-Davidowitz, Seth
- Binding Paperback
- Condition UsedGood
- Pages 352
- Volumes 1
- Language ENG
- Publisher Dey Street Books
- Date 2018-02-20
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 2Y6JCK008HPF_ns
- ISBN 9780062390868 / 0062390864
- Weight 0.61 lbs (0.28 kg)
- Dimensions 7.9 x 5.2 x 0.9 in (20.07 x 13.21 x 2.29 cm)
-
Themes
- Sex & Gender: Feminine
- Topical: Women's Interest
- Library of Congress subjects Internet - Social aspects, Data mining - Social aspects
- Dewey Decimal Code 302.231
About Goodwill Minnesota, United States
The mission of Goodwill Easter-Seals Minnesota is to assist people with barriers to education, employment and independence in achieving their goals. We envision strong communities where all people are economically self-sufficient.
More than a store...we prepare people for work.
From the rear cover
In this groundbreaking 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.
Everybody Lies combines the informed analysis of Nate Silver's The Signal and the Noise, the storytelling of Malcolm Gladwell's Outliers, and the wit and fun of Stephen Dubner and Steven Levitt's Freakonomics in a book that will change the way you view the world. There is almost no limit to what can be learned about human nature from Big Data--provided, that is, you ask the right questions.
