Everybody Lies audiobook cover - 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

Seth Stephens-Davidowitz

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Key Takeaways from Everybody Lies

Learning Tools

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Mind Map

Everybody Lies
The Core Premise
Survey Flaws
Search Data Truth
Nature of Data Science
Scale
Refining Intuition
Four Powers of Big Data
1. Constant Novelty
2. Unflinching Honesty
3. Granular Subsets
4. Effortless A/B Testing
Limitations
False Correlations
Missing Small Data
Ethics & Application
Privacy Risks
Productive Use

Quiz — Test Your Understanding

Question 1 of 7
How does the author describe the relationship between human intuition and data science?

Everybody Lies — Full Chapter Overview

Everybody Lies Summary & Overview

Everybody Lies (2017) is about the data collected in vast quantities by computers and over the internet. This data can help reveal fascinating information about the human psyche, behavior and quirks, because, as it turns out, people aren’t always so willing to communicate their true hopes and desires to others.

Who Should Listen to Everybody Lies?

  • Anyone interested in the complex nature of human behavior
  • Media studies experts and social scientists
  • Anyone concerned about the power of the internet and online privacy

About the Author: Seth Stephens-Davidowitz

Seth Stephens-Davidowitz is an expert on internet data and big data in particular. He holds degrees from Stanford and Harvard Universities and worked previously as a data scientist at Google.

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