データサイエンスという言葉に馴染みが無かったけど、インターネットが出る前から我々の生活に馴染みのあるものだと認識し親しみがわいた。
本の題名とは別に筆者が伝えたかった事として、データサイエンスが如何に我々の生活をよく出来る可能性を持っているか?という事を例を上げながら説明していたので、興味深く一気に読めてしまった。
¥2,901¥2,901 税込
ポイント: 29pt
(1%)
無料配送 6月22日-7月3日にお届け
発送元: TheWorldShop 販売者: TheWorldShop
¥2,901¥2,901 税込
ポイント: 29pt
(1%)
無料配送 6月22日-7月3日にお届け
発送元: TheWorldShop
販売者: TheWorldShop
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配送料 ¥240 6月13日-15日にお届け
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¥1,476¥1,476 税込
配送料 ¥240 6月13日-15日にお届け
発送元: バリューブックス 【防水梱包で、丁寧に発送します】
販売者: バリューブックス 【防水梱包で、丁寧に発送します】
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サンプル サンプル
Everybody Lies: What the Internet Can Tell Us About Who We Really Are ペーパーバック – 2018/4/19
英語版
Seth Stephens-Davidowitz
(著)
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購入オプションとあわせ買い
THE NEW YORK TIMES BESTSELLER AN ECONOMIST BOOK OF THE YEAR A NEW STATESMAN BOOK OF THE YEAR 'This book is about a whole new way of studying the mind ... Endlessly fascinating' Steven Pinker 'A whirlwind tour of the modern human psyche' Economist Everybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess the truth. Insightful, funny and always surprising, Everybody Lies explores how this huge collection of data, unprecedented in human history, could just be the most important ever collected. It offers astonishing insights into the human psyche, revealing the biases deeply embedded within us, the questions we're afraid to ask that might be essential to our well-being, and the information we can use to change our culture for the better.
- 本の長さ352ページ
- 言語英語
- 出版社Bloomsbury Publishing PLC
- 発売日2018/4/19
- 寸法19.6 x 2.3 x 12.8 cm
- ISBN-101408894734
- ISBN-13978-1408894736
商品の説明
レビュー
Time and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz's discoveries -- Steven Pinker, author of The Better Angels of Our Nature
Absorbing and impassioned ... as an introduction to our fascinating new universe of data, Everybody Lies is hard to beat ― Financial Times
Everybody Lies is an astoundingly clever and mischievous exploration of what big data tells us about everyday life. Seth Stephens-Davidowitz is as good a data storyteller as I have ever met -- Steven Levitt, co-author, Freakonomics
Move over Freakonomics. Move over Moneyball. This brilliant book is the best demonstration yet of how big data plus cleverness can illuminate and then move the world. Read it and you'll see life in a new way -- Lawrence Summers, President Emeritus of Harvard University
A whirlwind tour of the modern human psyche … The empirical findings in Everybody Lies are so intriguing that the book would be a page-turner even if it were structured as a mere laundry list ― Economist
Everybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating, shocking, sometimes horrifying, but above all, revealing -- Tim Wu, author of The Attention Merchants
Freakonomics on steroids - this book shows how big data can give us surprising new answers to important and interesting questions. Seth Stephens-Davidowitz brings data analysis alive in a crisp, witty manner, providing a terrific introduction to how big data is shaping social science -- Raj Chetty, Professor of Economics at Stanford University
A sobering guide to how much of ourselves we're putting online and what private companies might do with that information -- Helen Lewis ― New Statesman 'Books of the Year'
Everybody Lies is a spirited and enthralling examination of the data of our lives. Drawing on a wide variety of revelatory sources, Seth Stephens-Davidowitz will make you cringe, chuckle, and wince at the people you thought we were -- Christian Rudder, author of Dataclysm
A tour de force - a well-written and entertaining journey through big data that, along the way, happens to put forward an important new perspective on human behaviour itself -- Peter Orszag, Managing Director, Lazard
Brimming with intriguing anecdotes and counterintuitive facts, Stephens-Davidowitz does his level best to help usher in a new age of human understanding, one digital data point at a time -- Fortune, Best New Business Books
Stephens-Davidowitz, a former data scientist at Google, has spent the last four years poring over Internet search data . . . What he found is that Internet search data might be the Holy Grail when it comes to understanding the true nature of humanity ― New York Post
It’s a wonderful book, but I would say that, wouldn’t I? -- Danny Doyle
Stephens-Davidowitz censures academics and other researchers for ignoring the largest data set ever collected, and he is probably not overstating it when he claims that the continuing study of these searches “will radically expand our understanding of mankind”. This undemanding book is a useful first step towards that knowledge’ -- Oliver Thring ― Sunday Times
Seth Stephens-Davidowitz in his book “Everybody Lies,” tackles the discrepancy between the ideal version of ourselves we present to the world via social media and the confessions that we would never post there -- Judy Ketteler ― International New York Times
Absorbing and impassioned ... as an introduction to our fascinating new universe of data, Everybody Lies is hard to beat ― Financial Times
Everybody Lies is an astoundingly clever and mischievous exploration of what big data tells us about everyday life. Seth Stephens-Davidowitz is as good a data storyteller as I have ever met -- Steven Levitt, co-author, Freakonomics
Move over Freakonomics. Move over Moneyball. This brilliant book is the best demonstration yet of how big data plus cleverness can illuminate and then move the world. Read it and you'll see life in a new way -- Lawrence Summers, President Emeritus of Harvard University
A whirlwind tour of the modern human psyche … The empirical findings in Everybody Lies are so intriguing that the book would be a page-turner even if it were structured as a mere laundry list ― Economist
Everybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating, shocking, sometimes horrifying, but above all, revealing -- Tim Wu, author of The Attention Merchants
Freakonomics on steroids - this book shows how big data can give us surprising new answers to important and interesting questions. Seth Stephens-Davidowitz brings data analysis alive in a crisp, witty manner, providing a terrific introduction to how big data is shaping social science -- Raj Chetty, Professor of Economics at Stanford University
A sobering guide to how much of ourselves we're putting online and what private companies might do with that information -- Helen Lewis ― New Statesman 'Books of the Year'
Everybody Lies is a spirited and enthralling examination of the data of our lives. Drawing on a wide variety of revelatory sources, Seth Stephens-Davidowitz will make you cringe, chuckle, and wince at the people you thought we were -- Christian Rudder, author of Dataclysm
A tour de force - a well-written and entertaining journey through big data that, along the way, happens to put forward an important new perspective on human behaviour itself -- Peter Orszag, Managing Director, Lazard
Brimming with intriguing anecdotes and counterintuitive facts, Stephens-Davidowitz does his level best to help usher in a new age of human understanding, one digital data point at a time -- Fortune, Best New Business Books
Stephens-Davidowitz, a former data scientist at Google, has spent the last four years poring over Internet search data . . . What he found is that Internet search data might be the Holy Grail when it comes to understanding the true nature of humanity ― New York Post
It’s a wonderful book, but I would say that, wouldn’t I? -- Danny Doyle
Stephens-Davidowitz censures academics and other researchers for ignoring the largest data set ever collected, and he is probably not overstating it when he claims that the continuing study of these searches “will radically expand our understanding of mankind”. This undemanding book is a useful first step towards that knowledge’ -- Oliver Thring ― Sunday Times
Seth Stephens-Davidowitz in his book “Everybody Lies,” tackles the discrepancy between the ideal version of ourselves we present to the world via social media and the confessions that we would never post there -- Judy Ketteler ― International New York Times
著者について
Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at The Wharton School, and a former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research – which uses new, big data sources to uncover hidden behaviours and attitudes – has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City. sethsd.com / @SethS_D
登録情報
- 出版社 : Bloomsbury Publishing PLC (2018/4/19)
- 発売日 : 2018/4/19
- 言語 : 英語
- ペーパーバック : 352ページ
- ISBN-10 : 1408894734
- ISBN-13 : 978-1408894736
- 寸法 : 19.6 x 2.3 x 12.8 cm
- Amazon 売れ筋ランキング: - 64,779位洋書 (洋書の売れ筋ランキングを見る)
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5つのうち4.4つ
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トップレビュー
上位レビュー、対象国: 日本
レビューのフィルタリング中に問題が発生しました。後でもう一度試してください。
2017年8月1日に日本でレビュー済み
Amazonで購入
若きデータサイエンティストによる「ビッグデータ」についての本。
ややカジュアルすぎる書き口ですがたいへん面白かったです。
著者はおもにGoogleサーチの結果を分析することで、人が本当に何を考えているかを解き明かそうとしています。
ソーシャルメディアやアンケートなどで、人はしばしばウソをつくので、そこから導かれる調査結果は誤りが多いと指摘します。いっぽうGoogleサーチに蓄積されたデータは、人々の真の姿を明らかにする、と著者は主張します。
たとえば妻はSNSでは夫を「すばらしい」と書くのに、Googleでは「うっとうしい」と検索していると。
Googleサーチ(とポルノサイト)で人がいったい何を検索しているのか、という調査結果はどれも面白く、思わず人に話したくなるトリビアに満ちています(それだけで読む価値あり)。
著者は単なるトリビアを超え、検索結果のデータ分析が児童虐待の発見や医療診断に役立つ可能性を指摘しています。
さらにデータ分析が「相関関係」を超えて物事の「因果関係」を導ける可能性にも言及しています。ポパーを引き合いに、疑似科学がビッグデータの力で反証可能性をそなえた科学になるのではないか、と。
インターネットのさらなる可能性を教えてくれる、間違いなく「読ませる」一冊。
(30代前半でこういう知的でユーモアに満ちた文章を書ける日本人の著者はいないような気がするのが悲しい…)
ややカジュアルすぎる書き口ですがたいへん面白かったです。
著者はおもにGoogleサーチの結果を分析することで、人が本当に何を考えているかを解き明かそうとしています。
ソーシャルメディアやアンケートなどで、人はしばしばウソをつくので、そこから導かれる調査結果は誤りが多いと指摘します。いっぽうGoogleサーチに蓄積されたデータは、人々の真の姿を明らかにする、と著者は主張します。
たとえば妻はSNSでは夫を「すばらしい」と書くのに、Googleでは「うっとうしい」と検索していると。
Googleサーチ(とポルノサイト)で人がいったい何を検索しているのか、という調査結果はどれも面白く、思わず人に話したくなるトリビアに満ちています(それだけで読む価値あり)。
著者は単なるトリビアを超え、検索結果のデータ分析が児童虐待の発見や医療診断に役立つ可能性を指摘しています。
さらにデータ分析が「相関関係」を超えて物事の「因果関係」を導ける可能性にも言及しています。ポパーを引き合いに、疑似科学がビッグデータの力で反証可能性をそなえた科学になるのではないか、と。
インターネットのさらなる可能性を教えてくれる、間違いなく「読ませる」一冊。
(30代前半でこういう知的でユーモアに満ちた文章を書ける日本人の著者はいないような気がするのが悲しい…)
2017年6月20日に日本でレビュー済み
Amazonで購入
Perfectly arrived, same as described. And of course a superb read
2018年9月2日に日本でレビュー済み
Amazonで購入
気鋭のデータサイエンティストが、性に関する検索分析から、通常のアンケートや対面調査では決して明らかにならない人間の(ネットを使うという限定だが)真の姿を明らかにする。 その上で、投票行動や経済動向まで、従来の手法とは全く異なる結果を導く可能性を示唆する。 性に関する分析を多用することで、タブー視されるポリティカルコレクトネスで見えなくなる隠れトランプがあぶり出されることの納得性が増す。 取り上げる題材は刺激的だが、ビジネス書として読みたい。 検索をする際、ふと、気持ち悪さも覚えるようになる副作用は仕方がない。
2020年7月9日に日本でレビュー済み
Amazonで購入
Not that interesting
他の国からのトップレビュー
Juan Fernandez
5つ星のうち5.0
Interesting topic
2023年1月7日にドイツでレビュー済みAmazonで購入
I enjoyed this book. I’m not surprised with the fact that not many people finish books. Nowadays more people know how to read. The problem is they lack curiosity and patience and that’s why they choose scrolling all day long.
Put your phone away and read, FGS.
Put your phone away and read, FGS.
Cliente Amazon
5つ星のうち5.0
Fantastic book about patterns of google searches
2022年5月16日にイタリアでレビュー済みAmazonで購入
Seth has written a really good book for everybody interested in data analysis.
It's not a technical book, but it gives you perspectives about some real implementations.
This book is accessible by everyone, and it's never boring.
It's for everyone interested in Data Science and it's real application on detecting patterns in social behaviors.
It's not a technical book, but it gives you perspectives about some real implementations.
This book is accessible by everyone, and it's never boring.
It's for everyone interested in Data Science and it's real application on detecting patterns in social behaviors.
Eduardo Cabrer
5つ星のうち5.0
La forma más agradable de entender "Big Data"
2020年2月23日にメキシコでレビュー済みAmazonで購入
Existen un sin fin de opciones para leer sobre Big Data, sin embargo en mi opinión la versión más humana y entretenida está en este libro. Una pieza que responde un montón de preguntas pero que invita a generar muchas más. Al final termina siendo una de esas lecturas que citas una y otra vez no sólo para explicar cosas sino también para buscar nuevas formas y procesos a nivel tanto laboral como personal. Un libro tan útil como divertido.
Stephen Waddington
5つ星のうち5.0
A book about response bias, search listening and gaining consumer insights from big datasets.
2021年1月25日に英国でレビュー済みAmazonで購入
Listening to an audience or publics is a critical of element of marketing and public relations practice. It’s rightly a growing area of significant investment.
Identifying an audience and understanding its motivation is critical to planning and engagement. It informs strategy, media and content.
But what do you do if people don’t tell the truth? They typically don’t. People tell pollsters and market researchers what they think they want to hear.
I’ve started dry January this month and signed up to the Try Dry app from Alcohol Change UK. It coaches you to reduce your alcohol consumption with daily nudges and rewards.
The app asked me to submit data about my drinking habits. When I entered my data, I reduced my actual alcohol consumption by approximately a quarter.
Even when asked for data anonymously in the privacy of our own home we modify our response to present the best version of ourselves, or at least the version we think that others expect.
This effect is called response bias. It goes someway to explaining why pollsters call elections wrong, notably the Brexit vote in the UK in 2016, and President Donald Trump’s US election success late the same year.
It’s the basis of Seth Stephens-Davidowitz’s book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. If you’re interested in the growing use of data in business, science, or politics you should read this book.
Stephens-Davidowitz suggests that Google provides a means to obtain an accurate insight into consumer behaviour.
People share their deepest fears and secrets with the Google search box. This behavioural trait combined with the sheer volume of data, so called big data, creates a useful source of insight into the human condition. It’s a growing area of psychology and social science.
The Google dataset is accessible to marketing and PR practitioners via autocomplete data using tools such as AnswerThePublic, and search volumes using the Google Trends and Google Ads Keyword Planner.
It has led to an emerging marketing and PR discipline called search listening. Indeed, it’s the subject of a book by Sophie Coley called Consumer Insight in the Age of Google and the basis of her Search Listening consulting and training business.
Stephens-Davidowitz uses Google data to explore attitudes to mental health, parenting, race, reproduction, sex and more. The book is written for an American audience but it’s application and insight are global.
The book isn’t limited to the Google dataset. Stephens-Davidowitz describes how insights can be discovered in any large data set. He explores datasets related to the economy, population, educational attainment, sports and more.
In the final chapter Stephens-Davidowitz shares a study of Amazon Kindle comments that provide insight into the number of readers that complete non-fiction books. You’ll have to read the book for yourself to discover the answer.
Identifying an audience and understanding its motivation is critical to planning and engagement. It informs strategy, media and content.
But what do you do if people don’t tell the truth? They typically don’t. People tell pollsters and market researchers what they think they want to hear.
I’ve started dry January this month and signed up to the Try Dry app from Alcohol Change UK. It coaches you to reduce your alcohol consumption with daily nudges and rewards.
The app asked me to submit data about my drinking habits. When I entered my data, I reduced my actual alcohol consumption by approximately a quarter.
Even when asked for data anonymously in the privacy of our own home we modify our response to present the best version of ourselves, or at least the version we think that others expect.
This effect is called response bias. It goes someway to explaining why pollsters call elections wrong, notably the Brexit vote in the UK in 2016, and President Donald Trump’s US election success late the same year.
It’s the basis of Seth Stephens-Davidowitz’s book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. If you’re interested in the growing use of data in business, science, or politics you should read this book.
Stephens-Davidowitz suggests that Google provides a means to obtain an accurate insight into consumer behaviour.
People share their deepest fears and secrets with the Google search box. This behavioural trait combined with the sheer volume of data, so called big data, creates a useful source of insight into the human condition. It’s a growing area of psychology and social science.
The Google dataset is accessible to marketing and PR practitioners via autocomplete data using tools such as AnswerThePublic, and search volumes using the Google Trends and Google Ads Keyword Planner.
It has led to an emerging marketing and PR discipline called search listening. Indeed, it’s the subject of a book by Sophie Coley called Consumer Insight in the Age of Google and the basis of her Search Listening consulting and training business.
Stephens-Davidowitz uses Google data to explore attitudes to mental health, parenting, race, reproduction, sex and more. The book is written for an American audience but it’s application and insight are global.
The book isn’t limited to the Google dataset. Stephens-Davidowitz describes how insights can be discovered in any large data set. He explores datasets related to the economy, population, educational attainment, sports and more.
In the final chapter Stephens-Davidowitz shares a study of Amazon Kindle comments that provide insight into the number of readers that complete non-fiction books. You’ll have to read the book for yourself to discover the answer.
Mel
5つ星のうち5.0
Great! Right to the end!
2019年4月10日にカナダでレビュー済みAmazonで購入
Such a great book. I even read to the end (you’ll know what I mean if you read to the end too). Some authors can just be so boring about big data. It’s not that the topic isn’t fascinating, it’s their delivery. Seth describes an interesting depiction of what big data can really tell us and it’s up to us (society) how far we want/should use it.