Don't Trust Your Gut

Regular price €17.50
A01=Seth Stephens-Davidowitz
Author_Seth Stephens-Davidowitz
Category=GPH
Category=JHB
Category=VSP
eq_bestseller
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eq_nobargain
eq_non-fiction
eq_self-help
eq_society-politics
everybody lies
factfulness
freakonomics
how to make decisions
mark manson
you know less than you think you do

Product details

  • ISBN 9781526605092
  • Weight: 260g
  • Dimensions: 128 x 196mm
  • Publication Date: 16 Mar 2023
  • Publisher: Bloomsbury Publishing PLC
  • Publication City/Country: GB
  • Product Form: Paperback
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THE NEW BOOK FROM THE BESTSELLING AUTHOR OF EVERYBODY LIES

'Don’t Trust Your Gut is a tour de force — an intoxicating blend of analysis, humor, and humanity' DANIEL H. PINK

'Seth Stephens-Davidowitz is an expert on data-driven thinking, and this engaging book is full of surprising, useful insights for using the information at your fingertips to make better decisions' ADAM GRANT

Big decisions are hard. We might consult friends and family, read advice online or turn to self-help books for guidance, but in the end we usually just do what feels right. But what if our gut is wrong?

As economist and former Google data scientist Seth Stephens-Davidowitz argues, our gut is actually not that reliable – and data can prove this. In Don’t Trust Your Gut, he unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Over the past decade, scholars have mined enormous datasets to find remarkable new approaches to life’s biggest self-help puzzles, from the boring careers that produce the most wealth, to old-school, data-backed relationship advice. While we often think we know how to better ourselves, the numbers, it turns out, disagree.

Telling fascinating stories through the latest big data research, Stephens-Davidowitz reveals just how wrong we really are when it comes to improving our lives, and offers a new way of tackling our most consequential choices.

Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at the Wharton School and a former Google data scientist. He received a BA in philosophy from Stanford and a PhD in economics from Harvard. His research – which uses new, big data sources to uncover hidden behaviours and attitudes – has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City.