Everybody Lies
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Narrated by:
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Christopher Ragland
About this listen
Insightful, surprising and with groundbreaking revelations about our society, Everybody Lies exposes the secrets embedded in our Internet searches, with a foreword by best-selling author Steven Pinker.
Everybody lies, to friends, lovers, doctors, pollsters - and to themselves. In Internet searches, however, people confess their secrets - about sexless marriages, mental health problems, even racist views. Seth Stephens-Davidowitz, an economist and former Google data scientist, shows that this could just be the most important dataset ever collected.
This huge database of secrets - unprecedented in human history - offers astonishing, even revolutionary insights into humankind. Anxiety, for instance, does not increase after a terrorist attack. Crime levels drop when a violent film is released. And racist searches are no higher in Republican areas than in Democrat ones.
Stephens-Davidowitz reveals information we can use to change our culture and the questions we're afraid to ask that might be essential to our health - both emotional and physical. Insightful, funny and always surprising, Everybody Lies exposes the biases and secrets embedded deeply within us, at a time when things are harder to predict than ever.
©2017 Seth StephensDavidowitz (P)2017 Audible, LtdWhat listeners say about Everybody Lies
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- Charles Victor
- 06-12-2021
Interesting insights and endless possibilities .
Interesting and helpful for anyone thinking what is big data , what are it's benefits and where do we get it from ....Above all , are they reliable?
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- Mike Nicholls
- 23-02-2020
The data is astounding
Great book, the data is astounding would like more info on the methods he used to access the Google data
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- Kindle Customer
- 22-07-2018
Beautiful insight into this world of big data
Seth has written a very interesting book looking at the enormity of research potential big data presents social scientist. Also explores its limitations and the potential futufe information big data may provide.
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- Anonymous User
- 05-11-2019
Extremely interesting topic
Loved the overall book. A bit repetitive by the end, But still a very interesting topic!
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- E. Ryder
- 23-05-2018
Listen to the end
I normally read the first 50 pages of these kind of books but this was different. A good insightful storyteller. Fascinating points around big data, I don’t think I’ll believe anything ever again :)
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- Jim
- 27-07-2018
Spectacular
This is an utterly fascinating book, easily the best I’ve listened to all year. Plenty of amazing insights into human behaviour. I’m already planning to listen to it again.
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- Anonymous User
- 17-01-2018
Incredibly captivating.
This book was magnificent, so well written, extremely inspiring, emotive and clever. It’s a must buy.
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- Happy recipient
- 04-02-2024
Big data is just the beginning
Some of the statistics were difficult to comprehend but would have been easier for me to understand if I had viewed the list rather than listened to them being read out. However, overall it was a very interesting discussion on data science and it made me want you to learn more about this area.
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- Vince
- 29-11-2020
Read with a grain of salt
The book is engaging overall, especially for a data scientist like myself. But the author's annoying socially justicy, woke narrative left me with enormous doubt about a lot of what he supposedly "uncovered" from big data. Here is an example: Toward the end, he talked about a research he did that uncovered "Islamophobia". He said that in 2015 he found 12000 searches on Google of "Kill Muslims" and .. voila .. 12 murders were committed against Muslims in that year. Therefore, he concluded, we can use Google searches to predict crimes. I found it absolutely laughable that people are searching for "Killl Muslims" as if Google is a command line prompt or a wish granting oracle ... Besides, in 2015, could the rise of Islamic jihad and Isis and the crimes they committed against thousands of civilians in Middle East, Europe, and in the US have something to do with the rise of Islamophobia? but the author couldn't be bothered with THAT data even if it hit him in the face. It doesn't fit the narrative.
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