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660 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
660 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
After reading the power of big data and what it can discover, I actually become quite upset. I can barely handle the truth. The only thought in my mind was like if even a reader can feel upset after a little dabbling, think about the researchers who are conducting the studies and spending years diving into the big data about these topics. How do they feel? I can't imagine.
informative
medium-paced
Delightful, very engaging read on modern takes on data analysis. Fans of Levitt and Pinker I am sure will enjoy.
Hardly any 'cons' to flag up... but it is a bit on a short side and overwhelmingly US focused. Still very clever and thought-provoking
Overall: definitely worth your time
Hardly any 'cons' to flag up... but it is a bit on a short side and overwhelmingly US focused. Still very clever and thought-provoking
Overall: definitely worth your time
For anyone interested remotely in the lessons and findings of social science but not the technicalities, I highly recommend. Not only do the studies and questions explored in this book offer interesting conversation topics, but Stephens-Davidowitz is a truly kind narrator as he delicately explains implications of what Big Data gold for the world. Highly recommend and good table read for sure!
It was touch and go with this book. I was halfway into it and ready to put it aside, funny curiosities about what people search on Google or what Facebook data says about us simply doesn't cut if for me anymore. I think Yuval Noah Harari set the bar too high in Homo Deus, by covering most interesting findings big data has to offer in an elegant and concise manner.
However, the second half of the book covers a bit more of human behaviour, data misrepresentations and the extent to which big data can be applied. I found that to be unique and informative enough to do some research on my own.
Although Big Data is no longer considered to be the new kid on the block, it is still very important (Google and Facebook are definitely making a hefty profit out of it), but the sooner fields like psychology, sociology, anthropology are going to embrace it, the better for us as human beings.
However, the second half of the book covers a bit more of human behaviour, data misrepresentations and the extent to which big data can be applied. I found that to be unique and informative enough to do some research on my own.
Although Big Data is no longer considered to be the new kid on the block, it is still very important (Google and Facebook are definitely making a hefty profit out of it), but the sooner fields like psychology, sociology, anthropology are going to embrace it, the better for us as human beings.
Liked it but liked it less the more I read. The conclusion was far too long and too focused on what it should be instead of just being something. If you have difficulty with the conclusion, it shows the issues with the work itself.
I really liked this book. It’s easy to read, provocative, fascinating and the author was very likeable. He particularly focused on social science and as someone currently working in public health research, I agree that we should be making better use of big data while understanding its limitations. It’s not comprehensive but doesn’t aim to be, instead providing illustrations of the potential of big data across a range of fields. I particularly like how he’s upfront about what big data can’t do and discusses the ethics; he’s clear that big data for its own sake isn’t important, it’s about asking the right questions and having the skills for careful analysis, as in any research field.
I will never think about Google in the same way again.
I will never think about Google in the same way again.
I read this in like 7th grade and was obsessed. I did a book report on it and the teacher gave me an 100 without really reading the report because she thought I was a bit of an overachiever for reading this book. I wasn't an overachiever I was just mesmerized by data collection. Anyway, I'm good at stats now.