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Everybody Lies

by Seth Stephens-Davidowitz

2017338 pages

Subjects

Data miningBig dataInternetSocial aspects of InternetSocial aspects of Big dataSocial aspects of Data miningBUSINESS & ECONOMICSInformation ManagementSOCIAL SCIENCEPopular Culture

About Everybody Lies

AI-generated

"Everybody Lies" reveals the hidden truths about human behavior that emerge when we analyze what people actually search for online rather than what they tell pollsters, surveys, or even friends. Drawing on billions of Google searches and other digital data sources, former Google data scientist Seth Stephens-Davidowitz uncovers surprising patterns about sex, race, politics, health, and relationships that people are too embarrassed or guarded to admit in traditional research settings. The anonymity of search engines creates an unprecedented window into our genuine desires, fears, and prejudices. The book demonstrates how big data analysis can challenge conventional wisdom and expose uncomfortable realities about society. Stephens-Davidowitz explores topics ranging from the surprising predictors of successful relationships to hidden racial biases, from sexual preferences people won't discuss openly to economic patterns invisible in standard datasets. His findings often contradict what people claim in public forums, revealing the gap between our curated social personas and our private concerns. What makes this book compelling is its combination of rigorous data analysis with accessible storytelling and often startling revelations. Stephens-Davidowitz writes with wit and clarity, making complex statistical concepts understandable while raising important questions about privacy, self-knowledge, and the future of social science research. It's an eye-opening read for anyone curious about human nature, the power of data, or what our digital footprints reveal about who we really are.

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