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Summary

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, Ltd

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  • Overall
    4 out of 5 stars
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    4 out of 5 stars

Sometimes its hard tu visualize and the numbers

Some moments was very interesting and in some I just lost the line. Will be better to read, not to listen as its easier to see the stats ant think a bit about them

9 of 10 people found this review helpful

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interesting in parts

there's some interesting insights buried in this book, but it's a little slow in parts and lacks something, though I can't quite say what.
I found the concluding chapter is protracted and unnecessary

12 of 14 people found this review helpful

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Worth listening all the way to the end

Which is more than I managed with Daniel Kahneman’s thinking fast and slow I’m embarrassed to admit.

Full of fascinating facts about human nature backed with data.

4 of 5 people found this review helpful

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Great listen

A light look at big data research, it's benefits and drawbacks, with some really interesting insights. Another reminder that correlation doesn't imply causation.

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Interesting insights

I liked the book but wanted slightly more from it. The narrator was good. Some chapters dragged but generally contained an interesting insight. The narrative focussed a bit too much on sex in some parts. I'm not a prude but felt that the focus on sex didn't always lead to a necessary or interesting insight so was unecessary on occasion, maybe just good for the shock value. I really enjoy the subject of data analytics so would have preferred a deeper analysis into the area; however, I imagine some listeners will feel that the depth was appropriate. I would read more from this author on the subject in the future.

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Insightful

An easy listen with plenty of take home information. I feel like in areas I wanted more depth or further information, but that is me being greedy.

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    4 out of 5 stars
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Interesting Intro

A fairly easy listen that stimulates one to consider in more depth the use of data collection and people's social media habits.

I felt however it lacked a little depth overall and although there were a few insightful comments I finished feeling as if there was more to this topic than this book had to give. A good intro though.

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  • Petra
  • London, United Kingdom
  • 27-06-18

Google knows

Entertaining and informative reflection on what big data from internet searches can tell us about ourselves.

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    5 out of 5 stars
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Fascinating insight into the scope and reach of big data

Fascinating insights into how we behave when we think no one is watching . Book shows the insights we can get from anonymised big data and covers everything from politics to porn. A surprisingly accessible and engaging account

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Freakonomics meets big data

Excellent book, captivatingly well written and narrated. Social sciences can now cut it with the traditional sciences due to the availability of massive data sets. Gives a hint at the scale of questions that data scientists will be able to answer in the near future.

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  • Jan-Albert van den Berg
  • 12-04-18

Brilliantly read, and extremely interesting!

Following in the footsteps of freakonmics, the book will be worth listening to the end!