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659 reviews for:
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Seth Stephens-Davidowitz
3.82 AVERAGE
659 reviews for:
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Seth Stephens-Davidowitz
3.82 AVERAGE
I quit the book when it said Big Data cannot be used to predict the stock market
I thought many of the ideas presented about alternative means of gathering data were interesting. Using Google searches to discover early symptoms of disease is a quite a leap. I could have done without the references to his brother!
funny
informative
informative
There were interesting tidbits and findings throughout the book, and I liked the last section that talks about the limitations we should be wary of about data. I didn’t find it a captivating read though maybe because I generally already understood the key points being made about the usefulness of data.
informative
medium-paced
This book was recommended to me by a friend. It's not my usual read. When she said it was about math/statistics, I was a bit leery.
But this book was paradigm shifting. I really enjoyed this one. It was a fascinating read about what big data can tell us.
While I turned to my husband and told him all sorts of interesting things about the book, now I'm having a hard time knowing what to write. The examples he gives range the gamut and are fascinating. I also like how he talked about the ethical concerns of big data and also the limitations.
Give this one a read.
Warnings: some instances of strong language. He does a great job of giving other trigger warnings when he talks about abuse or related topics that come up.
Even if you're not a math/data/science person, give this one a go.
But this book was paradigm shifting. I really enjoyed this one. It was a fascinating read about what big data can tell us.
While I turned to my husband and told him all sorts of interesting things about the book, now I'm having a hard time knowing what to write. The examples he gives range the gamut and are fascinating. I also like how he talked about the ethical concerns of big data and also the limitations.
Give this one a read.
Warnings: some instances of strong language. He does a great job of giving other trigger warnings when he talks about abuse or related topics that come up.
Even if you're not a math/data/science person, give this one a go.
This was not an easy read, due to the statistics and data, but it was well worth it. If you like Freakonomics, you will like this book. It was funny and I recommend it whole heartedly.
Thoroughly enjoyed this read and found the applications and implications compelling. While I do agree that Google searches are likely much more honest than other types of data, I felt that the author didn’t adequately address the importance of context (i.e. not just analyzing how often a word appeared in a search, but how the rest of the searched phrase impacts the meaning of the search).