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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
Rating: I didn’t like it 😞
2019’s ATY in 52 books: 2. A book with one of the 5 W's in the title (Who, What, Where, When, Why).
This book is about big data and the application of Google’s tools in it.
The author assumes a lot, and draws conclusions out of nowhere in my opinion. I think this should’ve been an essay or blog post not a whole book.
There’s a few interesting bits but overall it felt repetitive and underdeveloped, like just a theory not actual facts.
Side note: The audiobook narrator sounded like a robot, I got used to him but I’ve never heard a human voice that sounded soo fake before (sooorry😐).
2019’s ATY in 52 books: 2. A book with one of the 5 W's in the title (Who, What, Where, When, Why).
This book is about big data and the application of Google’s tools in it.
The author assumes a lot, and draws conclusions out of nowhere in my opinion. I think this should’ve been an essay or blog post not a whole book.
There’s a few interesting bits but overall it felt repetitive and underdeveloped, like just a theory not actual facts.
Side note: The audiobook narrator sounded like a robot, I got used to him but I’ve never heard a human voice that sounded soo fake before (sooorry😐).
This book is full of interesting vignettes for what, to me today, is not all too radical a proposition. Mostly, though, I wonder what would have happened and what would have stood out if the author/researcher were not a young man. A Black person could definitely have said there were closer racists without Google searches for the n-word, for example. That said, this book attempts to be a start and I learned some new facts and ways to think about data.
It's a total data nerd book but the material is fascinating.
The data scientist who wrote the book uses big data from public domain data sources like- google search and porn hub to illustrate people behavior against what they report on survey data to show how on surveys people lie and what they do when they think no one is looking are very different.
The data scientist who wrote the book uses big data from public domain data sources like- google search and porn hub to illustrate people behavior against what they report on survey data to show how on surveys people lie and what they do when they think no one is looking are very different.
Nice, short, light overview of big data analysis of specifically sources like people's Google search queries for gaining knowledge about beliefs, attitudes, and behaviors of large groups of people.
Notable for an opening section suggesting that a good explanation for the Trump 2016 victory is that search queries indicate the US has much more out-and-out blatant racism than we generally believe.
Easy read for the general public.
Notable for an opening section suggesting that a good explanation for the Trump 2016 victory is that search queries indicate the US has much more out-and-out blatant racism than we generally believe.
Easy read for the general public.
I am actually pretty disappointed by this book. I thought this book was going to be about things people lie about, which we know based on internet searches. Unfortunately, only a small portion of this book was about that. Most of this book focused on big data generally and how it is being used, which I just wasn't interested in. I also agree with another reviewer who said it seemed like the author was trying to imitate Freakonomics.
This is both a series of great insights into human nature and human behaviour, as well as a solid introduction to the power and limitations of big data. Most of the insights are fascinating, and many of them have practical application. Highly recommended for anybody that wants to be smarter.
challenging
funny
informative
lighthearted
reflective
fast-paced
Interesting insights using a variety of data sources but it is not as thorough as I would like. It tries very hard to be like Freakanomics but it falls considerably short.
Still a fun read and the author has a unique and enjoyable writing style. I look forward to his future works.
Still a fun read and the author has a unique and enjoyable writing style. I look forward to his future works.
Engaging read but some of the conclusions are overblown and the methodology questionable