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665 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
665 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
informative
medium-paced
Ada bagian-bagian yg menarik, seperti tentang kenyataan bahwa jumlah klik, jenis kata yg terinput dalam google, dan 'kejujuran' yang disukai penulis bisa jadi data untuk pihak-pihak tertentu. Bukan barang baru sebenarnya di dunia data digital. Hanya saja, penulis terlalu berputar-putar, tidak fokus. Misal, ingin bahas A, dia pasti menuliskan 'sebentar, saya akan bahas B dulu' dsb.
Kemudian, penelitian tentang penggunaan data internet sendiri dalam buku ini kurang jelas menurut saya. Misal di suatu daerah, masyarakat cenderung menolak X saat menisi survey manual, padahal ditemukan data bahwa masyarakat tersebut mengakses info secara online berkaitan X (yang kemudian diartikan oleh penulis bahwa masyarakat tsb berbohong). Pertanyaannya adalah...apakah data yang ditemukan dari internet berdasarkan lokasi tersebut diakses oleh seluruh masyarakat yang mengikuti survey manual? Apa jaminannya kalau data yang terkumpul di internet berasal dari orang yang berbeda, bukan orang-orang yang sama? Bisakah menentukan siapa saja yang memakai internet/duduk di balik komputer dan gadget di daerah tersebut? Bagaimana kalau orang-orang yang melacak info secara online adalah para tamu/imigran/bukan warga sebenarnya yang menetap lama di daerah itu? Bagaimana melihat kredibilitasnya?
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Kemudian, penelitian tentang penggunaan data internet sendiri dalam buku ini kurang jelas menurut saya. Misal di suatu daerah, masyarakat cenderung menolak X saat menisi survey manual, padahal ditemukan data bahwa masyarakat tersebut mengakses info secara online berkaitan X (yang kemudian diartikan oleh penulis bahwa masyarakat tsb berbohong). Pertanyaannya adalah...apakah data yang ditemukan dari internet berdasarkan lokasi tersebut diakses oleh seluruh masyarakat yang mengikuti survey manual? Apa jaminannya kalau data yang terkumpul di internet berasal dari orang yang berbeda, bukan orang-orang yang sama? Bisakah menentukan siapa saja yang memakai internet/duduk di balik komputer dan gadget di daerah tersebut? Bagaimana kalau orang-orang yang melacak info secara online adalah para tamu/imigran/bukan warga sebenarnya yang menetap lama di daerah itu? Bagaimana melihat kredibilitasnya?
Membaca ini lumayan melelahkan
Data is only as useful as the questions that we ask from it. The author makes an attempt to ask interesting and oftentimes, intriguing questions from the Big Data available from the millions of searches made on Google and social media likes and posts. Do people always act the way they say they will? Or are there any secrets that they won't tell anyone or don't know themselves, but are willing to share it with a search bar on a browser? A wide range of topics such as racial awareness, sexuality, political interests, sports, etc. is touched upon to make it a thought-provoking read.
adventurous
challenging
dark
hopeful
informative
inspiring
reflective
fast-paced
Excellent Follow-Up to Freakonomics!
Loved this book from the very first page to the very last. I wish I enjoyed math in school because this career option of crunching the numbers of Big Data is fascinating!! Highly recommend.
Loved this book from the very first page to the very last. I wish I enjoyed math in school because this career option of crunching the numbers of Big Data is fascinating!! Highly recommend.
informative
medium-paced
The author does a great job of showing how big data can help understand how we tick. He shows that there is a lot of data out there that is ripe for analysis on any kind of subject. He also explains what big data can't do, what it shouldn't do and the pitfalls of combing through that much data.
His writing has a very readable, first-person-storytelling style which gets you through some subtle concepts. Do read his perfect conclusion to the end!
If you are interested in human behaviour or big data, or both, this book is for you.
His writing has a very readable, first-person-storytelling style which gets you through some subtle concepts. Do read his perfect conclusion to the end!
If you are interested in human behaviour or big data, or both, this book is for you.
Wavered between a four and a five star. Super interesting and funny, but it ultimately felt a little dumbed down for me.
Understand that’s not the point of the book, but I would have been interested in him teasing out the conclusions he drew from data further. He proposes possible action to take, but he seems more interested in the “punchline” of the data then what to actually do with it.
Would definitely recommend. Better than Malcolm Gladwell’s bullshit for sure.
Understand that’s not the point of the book, but I would have been interested in him teasing out the conclusions he drew from data further. He proposes possible action to take, but he seems more interested in the “punchline” of the data then what to actually do with it.
Would definitely recommend. Better than Malcolm Gladwell’s bullshit for sure.
I had a review all typed out, and then it went away, so I'm really hoping I'm not saying the same thing twice.
To be honest, I stopped just short of half way because the writing style started grating on me, and by that point I still didn't feel as though anything groundbreaking had been presented.
Specifically what annoyed me about the style is right there in the synopsis: "In this groundbreaking work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys—and themselves." In other words. Here's a sentence. Question? Let me answer myself. My own example would be, "I stopped reading this book. The problem? It was a list of fun facts written in a really annoying style and I'm a small person who stops reading books because I don't like the way they sound in my head."
Probably would not recommend for that reason alone, but if you can get past the voice then I'd be interested to see what there is to get out of it.
To be honest, I stopped just short of half way because the writing style started grating on me, and by that point I still didn't feel as though anything groundbreaking had been presented.
Specifically what annoyed me about the style is right there in the synopsis: "In this groundbreaking work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys—and themselves." In other words. Here's a sentence. Question? Let me answer myself. My own example would be, "I stopped reading this book. The problem? It was a list of fun facts written in a really annoying style and I'm a small person who stops reading books because I don't like the way they sound in my head."
Probably would not recommend for that reason alone, but if you can get past the voice then I'd be interested to see what there is to get out of it.
adventurous
challenging
funny
informative
inspiring
reflective
medium-paced