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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
Steven Pinker, 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
Steven Pinker, Seth Stephens-Davidowitz
3.82 AVERAGE
شروع کتاب رو دوس داشتم
اما تیکه دوم کتاب به نظرم جذابیت تیکه اول رو نداشت و تکراری بود چه در محتوا و چه در روایت
اما تیکه دوم کتاب به نظرم جذابیت تیکه اول رو نداشت و تکراری بود چه در محتوا و چه در روایت
Ahoy there mateys! Back in the day, I read a book called Freaknomics which uses statistics to answer questions like “What do schoolteachers and sumo wrestlers have in common?” This book is the next generation’s dive into statistics. Some of the questions answered in this book include “What percentage of white voters didn’t vote for Barack Obama because he’s black?” and “Do violent films affect the crime rate?” and some not so serious ones. This book delves into “big data” like Google search engine queries to explore the bigger questions about “economics to ethics to sports to race to sex, gender and more.” I loved it! The audiobook was fantastic even if I can’t recall any facts from this off the top of me noggin. It was thought-provoking and I would certainly listen to it again.
Check out me reviews at https://thecaptainsquartersblog.wordpress.com/
Check out me reviews at https://thecaptainsquartersblog.wordpress.com/
I have a love for big data with a hearty helping of skepticism for statistics without looking into the data & sources. This work was done well enough and provides some interesting findings and makes allowances for some but not all variables. I finished the book with a few things to think about and bring up in conversation, but I wasn’t blown away.
Unrelated to the the topic of the book, there were a few too many anti-Trump jabs and ‘how could anyone look at anything but through these left-leaning lenses’ comments that give liberals a bad name.
Notes:
Social media data bias example:
Popularity of The Atlantic vs The National Enquirer. Comparable number of subscriptions and google searches for each magazines but 1.5 million people like The Atlantic and only 50,000 like The National Enquirer (27 Atlantic likes for every 1 Enquirer).
Google’s version of “ Never compare your insides to everyone else’s outsides” could be “never compare your Google searches to everyone else’s social media posts”
High correlation between a local team wining the World Series during influential years in a person’s life and that person being a lifelong, diehard fan. The most important years in a man’s life, with regards to cementing his favorite baseball team when he is an adult, is when he is eight years old (5-15 is the key period). If a team wins when he is 19-20, that’s is about 1/8 as impactful a predictor of fandom as when he was 8.
For women, the patterns are much less sharp but the peak age is 22.
Facebook runs a thousand A/B tests a day—more randomized, controlled experiments than the entire pharmaceutical industry does in a year.
Unrelated to the the topic of the book, there were a few too many anti-Trump jabs and ‘how could anyone look at anything but through these left-leaning lenses’ comments that give liberals a bad name.
Notes:
Social media data bias example:
Popularity of The Atlantic vs The National Enquirer. Comparable number of subscriptions and google searches for each magazines but 1.5 million people like The Atlantic and only 50,000 like The National Enquirer (27 Atlantic likes for every 1 Enquirer).
Google’s version of “ Never compare your insides to everyone else’s outsides” could be “never compare your Google searches to everyone else’s social media posts”
High correlation between a local team wining the World Series during influential years in a person’s life and that person being a lifelong, diehard fan. The most important years in a man’s life, with regards to cementing his favorite baseball team when he is an adult, is when he is eight years old (5-15 is the key period). If a team wins when he is 19-20, that’s is about 1/8 as impactful a predictor of fandom as when he was 8.
For women, the patterns are much less sharp but the peak age is 22.
Facebook runs a thousand A/B tests a day—more randomized, controlled experiments than the entire pharmaceutical industry does in a year.
The big data equivalent of Freakonomics. Some interesting tidbits about conclusions reached through analyzing large data sets. Pretty good audiobook to listen to on the treadmill.
Really interesting, if somewhat scattered, collection of factoids and concepts gleaned from big data. Plus, information on the perils around any kind of data analysis - correlation vs. causation and a couple others for which the name escapes me. If you choose to listen to the audiobook, you'll miss some of the graphs - he explains them, but there is additional info with the audiobook that shows them. Anyone who works on the internet would likely really enjoy this.
As someone who stares at data all day trying to “tell a story”, I appreciated the practical use of big data in the understanding of human nature. Especially because who doesn’t love the idea of using Google trends / searches to understand the dark areas of humans that they don’t like to confess!
I read this book after the author was interviewed on NPR's Hidden Brain podcast. I enjoyed the book, though I can't say after reading it I took much away. There wasn't anything that really wowed me, but Seth's results and discussions from various data analysis were interesting.
Definitely the most interesting and intriguing book I’ve read all year. It has something for everyone, but facts geeks and data crunchers are particularly well served while anecdote hounds will also be satisfied. Think Freakonomics without the controversy. Highly readable, a popular text from an expert in his field; I’d happily recommend this to almost anyone.
Don't trust what people tell you, trust what people do.