
Don't Trust Your Gut
Using Data Instead of Instinct to Make Better Choices
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Narrated by:
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Timothy Andrés Pabon
About this listen
Bloomsbury presents Don't Trust Your Gut by Seth Stephens-Davidowitz, read by Timothy Andrés Pabon.
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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2022 Seth Stephens-Davidowitz (P)2022 HarperCollins PublishersFun but not much more.
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new to me information 4/10
how important were the new information 7/10
new information due to their importance
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Not worth your time
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Well-written and entertaining
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He'll give you the interesting data, but not until he has:
- Told you three times that we now have data, where we didn't have it before
- Gotten you to guess what the results might be
- Plugged his previous book
- Told you, once again, that the results will surprise you
- Pulled a fake out on telling you the data
- Trotted out a dull personal anecdote
The first chapter reads like the pitch to his publisher. From there on out the content is incredibly thinly spread and drawn out.
Just like his previous book actually...
Excruciating
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1.75x Playback speed recommended
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