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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
659 reviews for:
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Seth Stephens-Davidowitz
informative
slow-paced
informative
lighthearted
fast-paced
Basically.... This should be required reading for anyone with a pulse in the 22st century.
I was very interested in this book for work. The book has some good information specially about what type of customer survey or data sources to trust. What I am very disappointed in the book are the examples of data types. There is more data out there besides sex and gender. Most all examples were surrounded by sex and gender. There is an example related to Healthcare. There was 2 sentences related to Music. I was hoping it covered more examples of related data besides sex, gender, and sex. It would have been more interesting to related data to music besides the age, sex and gender.
For how much this book praises Google, I would've believed it was written in 2013. It might be interesting to see what the author thinks today.
I really wanted to like this book. I work in data science, and was interested to see if I could get some new insights. Unfortunately, this book feels more like a collection of random facts about google-searches.
I think listening to the audio book was a mistake. Maybe this would've been better If I could've more easily skipped ahead.
The author ends the book by almost shaming the reader for having read so far. And I agree — I really shouldn't have given this book so much of my time.
I really wanted to like this book. I work in data science, and was interested to see if I could get some new insights. Unfortunately, this book feels more like a collection of random facts about google-searches.
I think listening to the audio book was a mistake. Maybe this would've been better If I could've more easily skipped ahead.
The author ends the book by almost shaming the reader for having read so far. And I agree — I really shouldn't have given this book so much of my time.
This was a fun book to read. I liked the quirky insights gained from fb, google, and wikipedia data. However, (1) I don't think the insights were quite as original as the author seemed to think they were, and (2) I don't think this book is the next freakonomics, as the author explicitly claims that it will be. I do agree with him that a Big Data Revolution is inevitable and I think he makes good arguments for why that revolution will result in much good and potentially much harm for regular people.
informative
medium-paced
funny
informative
medium-paced