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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
This was an engaging, chatty introduction to the Big Data / analytical revolution. It was funnier than I expected but a little light on the actual statistical underpinning. I am somewhat familiar with the topic from work so this wasn’t mind blowing but I enjoyed my time with it.
The fundamental premise is that the internet provides a wealth of data which provides new and more honest insight into our behaviours. For data scientists or people in business who are using data for tracking and marketing purposes, this premise is probably familiar. As a result, I cannot judge how groundbreaking the author’s work is. Further, given the newness of the data sets, the book doesn’t make too clear on how the information can be used. There are snippets of this, including a chapter of caution, but this book works more like [b:Freakonomics: A Rogue Economist Explores the Hidden Side of Everything|1202|Freakonomics A Rogue Economist Explores the Hidden Side of Everything|Steven D. Levitt|https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1550917827l/1202._SX50_.jpg|5397] than a scholarly work. It is interesting but the familiarity will likely work against this book. The author is clear about his inspiration from Freakonomics but, while it made me smile, it did miss me the other book which was better written.
Overall, a light fun introductory book which I would recommend.
PS. I can’t believe I’ve had this book on my TBR since November 2017. Sigh - must read faster!
The fundamental premise is that the internet provides a wealth of data which provides new and more honest insight into our behaviours. For data scientists or people in business who are using data for tracking and marketing purposes, this premise is probably familiar. As a result, I cannot judge how groundbreaking the author’s work is. Further, given the newness of the data sets, the book doesn’t make too clear on how the information can be used. There are snippets of this, including a chapter of caution, but this book works more like [b:Freakonomics: A Rogue Economist Explores the Hidden Side of Everything|1202|Freakonomics A Rogue Economist Explores the Hidden Side of Everything|Steven D. Levitt|https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1550917827l/1202._SX50_.jpg|5397] than a scholarly work. It is interesting but the familiarity will likely work against this book. The author is clear about his inspiration from Freakonomics but, while it made me smile, it did miss me the other book which was better written.
Overall, a light fun introductory book which I would recommend.
PS. I can’t believe I’ve had this book on my TBR since November 2017. Sigh - must read faster!
informative
challenging
informative
reflective
medium-paced
funny
informative
Rolig bok! Hade dessutom en bra etisk diskussion i slutet!
informative
medium-paced
I am predicting a revolution based on the revelations of Big Data. But this does not mean we can just throw data at any question. And Big Data does not eliminate the need for all the other ways humans have developed over the millennia to understand the world. They complement each other.
This was such a wonderful, interesting and funny book. It had my attention on the topic, but I hardly expected to like this book so much. Everybody Lies reveals some of the basic concepts of Big Data but, mostly, reveals some random facts and alluring stories that can help us to understand the reach and limitations of Big Data. This is, mostly, a book to encourage curiosity and a call to create answers using Big Data.
It is not a technical book, so if you're looking for some sweet models or a how-to guide on Data Science and analysis, in general, you will be disappointed. Personally, I would only have asked for a little bit on information on how to start doing some of these very interesting experiments.
Still, what made me like this book so much was its human side. Seth Stephens-Davidowitz deals with topics like racism and classism tactfully, tastefully, examining society with a researcher's eye but unforgiving for our ugly behaviours. Seth Stephens-Davidowitz is also incredibly funny and got my complete attention, and made me enjoy his book and love Data Science even more than I already did.
Seth, I'm on the tiny percentage that data predicted would finish your book, and I'm very glad I did!
For people unfamiliar with Big Data. Interesting studies reviewed and the possibilities explained.
I also recommend reading Weapons of Math Destruction by Cathy O'Neil for a cautionary tale of big data.
I also recommend reading Weapons of Math Destruction by Cathy O'Neil for a cautionary tale of big data.