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Everybody Lies

Everybody Lies

By Seth Stephens-Davidowitz

Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. Dey Street Books, 2017.

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24 mins read

12 Key insights

A brief summary of Everybody Lies

An exploration of the rich resources of newly collected Big Data, the insights it provides, what it says about our true nature, and how it will shape our future.

Key insights in Everybody Lies

1
What do you get from this book? Uncovering humanity’s secretive behaviors and truths using searches, views, and clicks
2
Big data is the collection and use of multiple datasets that are too large to be studied by traditional methods
3
Big data provides four unique capabilities; first is that we have unexplored data sources to analyze
4
Big data power #2: we lie to everyone except our computers – online habits reveal our truest nature
5
Big data power #3: large data sources create greater insights into smaller subsets of social groups
6
Big data power #4: Multiple sources create perfect conditions to conduct experiments on causality on specific events
7
By testing too many variables or focusing too intently on measurements, we lose sight of the goal of our research
8
Corporations and governments might be tempted to unethically use large amounts of private data to regulate and control people
9
Because big data is so new and exciting, it will radically change our society in the future
10
Summary of the key insights
11
Selected critiques in brief
12
Final word

Who should read Everybody Lies

Data analysts • statisticians • economists • anyone interested in patterns of behavior • those worried about digital privacy

About the author of Everybody Lies

Seth Stephens-Davidowitz is a former Google data scientist and economist, and was a visiting lecturer at The Wharton School after receiving his Ph.D. in economics from Harvard. He is a contributing editor for the New York Times, writing about the ramifications and uses of private data and its impact on society.

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Seth Stephens-Davidowitz

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