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.
Summary of Everybody Lies book by Seth Stephens-Davidowitz
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.
Chapters in Everybody Lies book summary
What do you get from this book? Uncovering humanity’s secretive behaviors and truths using searches, views, and clicks
Big data is the collection and use of multiple datasets that are too large to be studied by traditional methods
Big data provides four unique capabilities; first is that we have unexplored data sources to analyze
Big data power #2: we lie to everyone except our computers – online habits reveal our truest nature
Big data power #3: large data sources create greater insights into smaller subsets of social groups
Big data power #4: Multiple sources create perfect conditions to conduct experiments on causality on specific events
By testing too many variables or focusing too intently on measurements, we lose sight of the goal of our research
Corporations and governments might be tempted to unethically use large amounts of private data to regulate and control people
Because big data is so new and exciting, it will radically change our society in the future
Summary of the key insights
Selected critiques in brief
Final word
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Everybody Lies — Book Summary Snapshot
Who should read Everybody Lies book
- Data analysts
- statisticians
- anyone interested in patterns of behavior
- those worried about digital privacy
About the author of Everybody Lies
Seth Stephens-Davidowitz
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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