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

Seth Stephens-Davidowitz

2017 · 338 pages · Narrative nonfiction

adventurous moodmoderate pacebalanced toneresolved and happy ending

How it reads

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are is narrative nonfiction (popular science, specifically), and its dominant mood is adventurous. It's driven by momentum, discovery and getting into trouble. The pace is moderate — neither a page-turner nor a slow burn — so it holds up whether you read it in long sittings or short ones.

It's set in an international setting, in the present day, told in the first person by a single narrator. Its central concerns are identity, class and society and power and politics. In weight it sits in the middle: substantial without being heavy going.

It stands alone, so there's nothing else you need to read first or after. The ending resolves happily. At 338 pages it's an ordinary novel's length. It's well known, the kind of book most keen readers have heard of.

Pick it up if…

  • you're in the mood for something adventurous
  • you want a complete story in one book
  • you want to be sure it ends well

Maybe not if…

  • you need something cosy or melancholy

All 15 dimensions

Author gender
male
Author experience
established
Setting: place
international
Setting: time
contemporary
Mood / feeling
adventurous
Pace
moderate
Tone / weight
balanced
Length
medium
Narrative style
first person, one narrator
Publication era
recent
Popularity
well known
Series vs standalone
standalone
Themes
identity, class and society, power and politics
Ending style
resolved and happy

What these mean: the 15 dimensions of a book.

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