Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
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- Create Date：2021-08-05 05:51:37
- Update Date：2025-09-06
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- Author：Seth Stephens-Davidowitz
- ISBN：0062390864
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Summary
Foreword by Steven Pinker
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak， a fascinating， illuminating， and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions。
By the end of an average day in the early twenty-first century， human beings searching the internet will amass eight trillion gigabytes of data。 This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears， desires， and behaviors that drive us， and the conscious and unconscious decisions we make。 From the profound to the mundane， we can gain astonishing knowledge about the human psyche that less than twenty years ago， seemed unfathomable。
Everybody Lies offers fascinating， surprising， and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex， gender and more， all drawn from the world of big data。 What percentage of white voters didn’t vote for Barack Obama because he’s black？ Does where you go to school effect how successful you are in life？ Do parents secretly favor boy children over girls？ Do violent films affect the crime rate？ Can you beat the stock market？ How regularly do we lie about our sex lives and who’s more self-conscious about sex， men or women？
Investigating these questions and a host of others， Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better。 Drawing on studies and experiments on how we really live and think， he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab。 With conclusions ranging from strange-but-true to thought-provoking to disturbing， he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us， information we can use to change our culture， and the questions we’re afraid to ask that might be essential to our health—both emotional and physical。 All of us are touched by big data everyday， and its influence is multiplying。 Everybody Lies challenges us to think differently about how we see it and the world。
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak， a fascinating， illuminating， and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions。
By the end of an average day in the early twenty-first century， human beings searching the internet will amass eight trillion gigabytes of data。 This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears， desires， and behaviors that drive us， and the conscious and unconscious decisions we make。 From the profound to the mundane， we can gain astonishing knowledge about the human psyche that less than twenty years ago， seemed unfathomable。
Everybody Lies offers fascinating， surprising， and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex， gender and more， all drawn from the world of big data。 What percentage of white voters didn’t vote for Barack Obama because he’s black？ Does where you go to school effect how successful you are in life？ Do parents secretly favor boy children over girls？ Do violent films affect the crime rate？ Can you beat the stock market？ How regularly do we lie about our sex lives and who’s more self-conscious about sex， men or women？
Investigating these questions and a host of others， Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better。 Drawing on studies and experiments on how we really live and think， he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab。 With conclusions ranging from strange-but-true to thought-provoking to disturbing， he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us， information we can use to change our culture， and the questions we’re afraid to ask that might be essential to our health—both emotional and physical。 All of us are touched by big data everyday， and its influence is multiplying。 Everybody Lies challenges us to think differently about how we see it and the world。
Reviews
Alex
，
As a data analyst， I enjoyed this book。 The author covered some interesting and quirky insights and studies and generally does a good job explaining why big data is useful and where it is not useful。 There were some broad assumptions made in some places， though he calls them out in many instances。Overall it was a fun read， though people who aren't data nerds may not enjoy the methods behind the conclusions he explains。 As a data analyst， I enjoyed this book。 The author covered some interesting and quirky insights and studies and generally does a good job explaining why big data is useful and where it is not useful。 There were some broad assumptions made in some places， though he calls them out in many instances。Overall it was a fun read， though people who aren't data nerds may not enjoy the methods behind the conclusions he explains。 。。。more
Gary Myers
，
Excellent & thought provoking book。
Nelson Zagalo
，
A lot of interesting data and studies， but what is missing is a solid and focused idea that supports everything。 It is not enough to boast that access to large databases changes everything， that we can make previously impossible readings of reality。 This works well for a newspaper article， but it is not enough to launch an area， to present a book that intends to support an entire area， as the author intends to do。There is a belief with over-confidence and over-easiness in the power of massive da A lot of interesting data and studies， but what is missing is a solid and focused idea that supports everything。 It is not enough to boast that access to large databases changes everything， that we can make previously impossible readings of reality。 This works well for a newspaper article， but it is not enough to launch an area， to present a book that intends to support an entire area， as the author intends to do。There is a belief with over-confidence and over-easiness in the power of massive data。 Of course， I am writing in 2021， and the book came out in 2017， and much has been learned about the power and illusions of so-called big data。 But still， to write a book that almost wants to shove an idea down your throat as if it were the holy messiah of sociology is naive。 Or else it is just the desire to want to sell books。------------------Muitos dados e estudos interessantes， mas falta uma ideia sólida e focada， que sustente tudo。 Não basta vir alardear aos 7 ventos que o acesso a grandes bases de dados muda tudo， que podemos fazer leituras da realidade até agora impossíveis。 Isso funciona bem para um artigo de jornal， mas não chega para lançar uma área， para apresentar um livro que suporte toda uma área， como pretende o autor fazer。Existe um excesso de crença， confiança e facilitismo no poder dos dados massivos。 Naturalmente que escrevo em 2021， quando o livro saiu em 2017， e muito se aprendeu sobre o poder e as ilusões do chamado big data。 Mas ainda assim， escrever um livro que quase nos quer enfiar pela garganta adentro uma ideia como se fosse o santo messias da sociologia， é ingénuo。 Ou então é apenas o desejo de querer vender livros。 。。。more
Jeff Gabriel
，
Mostly just a "check out this odd fact about humans" book。 The author tried to make it seem scientific and somehow meaningful on a larger stage， but it just isn't。 The author even disclaimed just running through odd facts while continuing to do nothing but that throughout - and the more tantalizing or low-brow， the better。 Pretty weak。 One thing you can take away from this is that Google tracking is deep， broad， and should push you toward considering other browsers， and other search engines。 Mostly just a "check out this odd fact about humans" book。 The author tried to make it seem scientific and somehow meaningful on a larger stage， but it just isn't。 The author even disclaimed just running through odd facts while continuing to do nothing but that throughout - and the more tantalizing or low-brow， the better。 Pretty weak。 One thing you can take away from this is that Google tracking is deep， broad， and should push you toward considering other browsers， and other search engines。 。。。more
Younes
，
کتابی جذاب در زمینه big data یا کلان دادهفصلهای کتاب به ترتیب زمینههای برتری و نقاط ضعف کلان داده را مشخص میکنهبا مطالعه این کتاب با انواع داده آشنا خواهید شد و ساختار ذهنی شما در خصوص داده تغییر میکنه، دلایل صادقانه بودن دادههای بدست آمده از منابعی مثل گوگل و فیسبوک شرح داده میشه و نویسنده شرح میده که چطور همه در حال دروغ گفتن به بقیه هستند اما سرچهای گوگل افراد چیزی برای پنهان کردن ندارهدر ادامه، توضیح داده شده که چطور باید مقیاس مناسبی از داده استفاده بشه تا خطای مطالعه پیش نیاد و نتایج قاب کتابی جذاب در زمینه big data یا کلان دادهفصلهای کتاب به ترتیب زمینههای برتری و نقاط ضعف کلان داده را مشخص میکنهبا مطالعه این کتاب با انواع داده آشنا خواهید شد و ساختار ذهنی شما در خصوص داده تغییر میکنه، دلایل صادقانه بودن دادههای بدست آمده از منابعی مثل گوگل و فیسبوک شرح داده میشه و نویسنده شرح میده که چطور همه در حال دروغ گفتن به بقیه هستند اما سرچهای گوگل افراد چیزی برای پنهان کردن ندارهدر ادامه، توضیح داده شده که چطور باید مقیاس مناسبی از داده استفاده بشه تا خطای مطالعه پیش نیاد و نتایج قابل اتکا باشهدر کنار این موارد، با چالشهای اخلاقی بکارگیری از کلان داده هم آشنا خواهید شدترجمه کتاب هم روان و قابل فهمه （ من نسخه نشر گمان با ترجمه ریحانه عبدی را مطالعه کردم） و بجز یکی دو مورد کوچک در ترجمه مشکل خاصی مشاهده نکردم 。。。more
Jackie
，
The book is a bunch of social science "experiments" conducted from the comfort of the author's apartment， all using big data available in Google Trends and Facebook likes and such。 The common thread is the nature of the data sources， even though the types of discoveries described are quite random。 They run the gamut from why Trump won （uh racism！） to whether banning abortions prevents them from happening illegally （they happen）， to what causes one brother to be a rabid Mets fan and not his littl The book is a bunch of social science "experiments" conducted from the comfort of the author's apartment， all using big data available in Google Trends and Facebook likes and such。 The common thread is the nature of the data sources， even though the types of discoveries described are quite random。 They run the gamut from why Trump won （uh racism！） to whether banning abortions prevents them from happening illegally （they happen）， to what causes one brother to be a rabid Mets fan and not his little brother （the team needs to be good when the boy is 8-10 years old for lifelong fandom to develop）。 Some of it was rather mundane， and some of it more profound。 Some was fun， some more tedious， and some of it was just icky TMI。 It was a quick read， and the author is self-deprecating and funny， even if not that great of a writer。 Flaws aside， the book is very much worth an evening or two because it's inspiring to have the mental wheels turn and daydream about how easy it is becoming to collect forms of rigorous social science data about previously-hard-to-study topics。 Who knows what else big data will teach us when we ask it the right questions？ 。。。more
Jurgita Vaitkeviciute
，
This review has been hidden because it contains spoilers。 To view it， click here。 ‘Yes， even a spectacularly successful Big Data organization like Facebook sometimes makes use of the source of information much disparaged in this book: a small survey。Indeed， because of this need for small data as a supplement to its mainstay- massive collection of clicks， likes， and post - Facebook’s data teams look different than you might guess。 Facebook employs social psychologists， anthropologists， and sociologists precisely to find what numbers miss’。 This quote very well summarizes my ta ‘Yes， even a spectacularly successful Big Data organization like Facebook sometimes makes use of the source of information much disparaged in this book: a small survey。Indeed， because of this need for small data as a supplement to its mainstay- massive collection of clicks， likes， and post - Facebook’s data teams look different than you might guess。 Facebook employs social psychologists， anthropologists， and sociologists precisely to find what numbers miss’。 This quote very well summarizes my takeaway from the book。 Deep analysis and different expertise is needed to draw any conclusions。 。。。more
Tom Greulich
，
Great concept and pretty good at first。 Gets boring fast as the author tries to fill the pages， didn’t finish it。
Niccolo Alexander Hamlin
，
Starts out as a fun collection of analytical insights but develops into a narrative guide to the social science revolution。
Nagendra Prasad
，
The author has used big data as an excuse to re-hash the same concepts already covered in many other books of this genre。 Seth makes a feeble attempt to provide a different perspective to topics already covered by Malcolm Gladwell and Levitt。 If you are looking for info on how big data can be abused， a better book would be， "Weapons of Math Destruction" by Cathy O'Neil。 The author has used big data as an excuse to re-hash the same concepts already covered in many other books of this genre。 Seth makes a feeble attempt to provide a different perspective to topics already covered by Malcolm Gladwell and Levitt。 If you are looking for info on how big data can be abused， a better book would be， "Weapons of Math Destruction" by Cathy O'Neil。 。。。more
Márk Reif
，
A Big Data jó， újfajta ismeretek fedezhetők fel általa。 Használd te is a munkádban （már ha éppen olyan）， de etikusan。 És néhány enyhén érdekes tény， csapongón tálalva， amiket a Big Data elemzéssel állapított meg vagy a szerző， vagy más kutató。 Ennyi ez a könyv。 Nem kimondottan rossz， csak számomra teljesen érdektelen。
Max McKinnon
，
Really great data science book that quite convincingly makes the case google search trends， among other sources， is the ultimate truth poll。 Many people when asked whether race matters in an anonymous poll， choose no。Yet when scrubbing google search trends to find a correlation to a vote for Trump， “nigger” was the top correlation。 Crazy right？ Although I suspect it’s more because of how clean a signal it is。 Things like “socialism” and “Hillary emails” show up but show up for both sets of voter Really great data science book that quite convincingly makes the case google search trends， among other sources， is the ultimate truth poll。 Many people when asked whether race matters in an anonymous poll， choose no。Yet when scrubbing google search trends to find a correlation to a vote for Trump， “nigger” was the top correlation。 Crazy right？ Although I suspect it’s more because of how clean a signal it is。 Things like “socialism” and “Hillary emails” show up but show up for both sets of voters。 I wish he would have gone into that point more。He gives many R code notebooks and data away on his website for further exploration。Social sciences are tricky because what people think tends to just be what one person thinks people think， as in the case of bombshell at the time but now disproven things like the Milgram shock experiment for obedience， Stanford prison experiment for uniform， or the Martinson report for recidivism。 Big data， specifically google search trends， gives a new insight into how people think at large。One thing that impressed me was although the author has worked at Google for a year as well as codes， he refrained from using such unnecessary language in this book and really focused on the core results that were surprising， not so much the latest nonlinear modeling technique。 I think the only buzz word used was big data。 His term for collaborative filtering was doppelgänger matching haha， love it。One thing I found interesting was the author’s dismissal of using big data to beat the stock market。 A naive approach， sure， doesn’t work。 But the reason it doesn’t work is because the price already reflects these insights， via hedge funds already automating their trades。 For an economist， not sure how the author made this blunder of a point。 Maybe he just didn’t want to get into it。 But why have that section at all？ It’s simple not true to summarize that big data isn’t being used to buy and sell in markets。Thanks Hussam for the recommendation。 。。。more
Diana
，
It’s a book about facts related to human behaviour， specially online and what our google searches say about us。 The title of the book is kind of misleading， but is an entertain listen for an audiobook if you are like me and like “pills of information” about things。I’m giving it a 3 star because I found it boring at times， there is a lot of repetition here and it gives the impression that it was just a reminder of something I knew instead of learning something new。 Definitely give it a read if yo It’s a book about facts related to human behaviour， specially online and what our google searches say about us。 The title of the book is kind of misleading， but is an entertain listen for an audiobook if you are like me and like “pills of information” about things。I’m giving it a 3 star because I found it boring at times， there is a lot of repetition here and it gives the impression that it was just a reminder of something I knew instead of learning something new。 Definitely give it a read if you are not tech savvy and want to know how your data online is being used。 。。。more
نوره حسن
，
من الواجب على عالم البيانات في هذه الأيام ألا يقصُر نفسه على وجهة نظر ضيقة أو تقليدية لأن كل شيء من حولنا بيانات！ ومع هذه البيانات الجديدة، أصبح بإمكاننا أن نرى ما وراء أكاذيب البشر。دراسة مثيرة ومشوقة تستحق القراءة بلا شك✨✨。
Fred Cheyunski
，
Big Data Reveals - Looking for a book about data， search， social media and their relationship to our current cultural climate since the 2016 elections， I was enthused when found out about this book。 Stephens-Davidowitz did his thesis using Google search data， was a Google data scientist and his tome provides us with many revelations through and about Big Data。The author shows how data from such sources as Google Trends can more accurately reveal social preferences and behavior than any kind of s Big Data Reveals - Looking for a book about data， search， social media and their relationship to our current cultural climate since the 2016 elections， I was enthused when found out about this book。 Stephens-Davidowitz did his thesis using Google search data， was a Google data scientist and his tome provides us with many revelations through and about Big Data。The author shows how data from such sources as Google Trends can more accurately reveal social preferences and behavior than any kind of surveys or self-reporting， hence the title “Everybody Lies。” Actually， he takes readers through four major sections where the emerging practices in data science are informing social and political science。 More particularly， in Part I， he deals with “Data， Big and Small，” and “Your Faulty Gut。” In Part II， he relates “The Powers of Big Data，” asks “Was Freud Right？，” conveys “Data Reimagined，” “Digital Truth Serum，” “Zooming In，” and that “All the World’s a Lab。” Continuing in Part III， he goes on to caution “Big Data: Handle with Care，” look askance at “Big Data， Big Schmata？” opine on “What It Cannot Do，” “Mo Data， Mo Problems？” and “What We Shouldn’t Do。” Finally， in his Conclusion， he questions “How Many People Finish Books？”Well， I finished this one and enjoyed a number of aspects along the line as I proceeded。 It was particularly interesting to see how a US map showing more racist searches （e。g。 see Coates’ "Between the World and Me"） seemed to correspond with a map of searches pertaining to Trump as well as these queries appeared to be predictive of the 2016 election results and what would follow （e。g。 see Gladstone’s "The Trouble with Reality: A Rumination on Moral Panic in Our Time"）。 Also striking was the story of horse #85 and Alan Jeter who has spent a career analyzing different sources of data to come up with a way of selecting winning thoroughbreds。 It brought a smile to see word counts mentioned and storyline plots （e。g。 see Archer and Jocker’s "The Bestseller Code: Anatomy of the Blockbuster Novel"） Also worthwhile was the manner of tracing clicks to see the effectiveness of internet ads and turning that method around to investigate disease and treat widespread health concerns （e。g。 see Davenport’s books such as "Keeping Up with the Quants: Your Guide to Understanding and Using Analytics" for other commercial approaches that might be transposed for beneficial use， see Halpern’s "Inside the Nudge Unit: How Small Changes Can Make a Big Difference"）。While the author does refer back to his mentors and colleagues at Google and the limitations of Big Data， I would have liked to have seen more in this vein （e。g。 see Rushkoff’s "Throwing Rocks at the Google Bus: How Growth Became the Enemy of Prosperity"）。 For instance， Stephens-Davidowitz looks at the dangers of “empowered” corporations and governments and ethical questions where Big Data could be used to effect individual access to services or benefit， or personal culpability before an occurrence。 Similarly， others types of influence enabled by Big Data are problematic。All things considered， this book remains a compelling read and a helpful resource in approaches for revealing what people actually do as opposed to what they say as a means of getting at the truth of what’s really going on and where to pursue actions that can make a difference。 。。。more
Sanne
，
Amusing easy read。
Izabela Romańska
，
Bardziej oparta na ciekawostkach niż na gruntownej analizie。 O tym co można znaleźć analizując dane i że ludzie niechętnie się dzielą tym， co myślą i czego pragną。 Falsyfikowanie/potwierdzanie teorii Freuda na podstawie wyszukań na stronach porno wydaje się mocno dyskusyjne。
Erika Krasinskė
，
3*/5。 Pusė knygos buvo tikrai labai įdomi， kaip paieškos Google išduoda žmones 🙈 pačiom įvairiausiom temom 😊Antra pusė。。。 na ne mano smegenims 🤷♀️ nusivažiavo labai labai stipriai nuo knygos pagrindinės minties。
Matt
，
3。5 stars
Petra
，
A must-read book for every dara scientist， digital marketer and performance marketing specialist / consultant。 Not an easy reading， but a real eye-opener！
Nick
，
Fascinating。 A new field。 Now I want to learn statistics and various topics related and I want more。 Only five stars from me。
Raeder Smith
，
I enjoyed this。 The author looked at Google search data to derive a more realistic view of human sexuality， racism’s impact to politics， personal appearance insecurities， and child abuse。
Nguyễn Trinh
，
Hay hơn mình nghĩ ban đầu。 Đây là quyển đầu tiên mình đọc về xử lý dữ liệu và big data và wow， nó thực sự khá là hay ấy chứ。 Qua việc thống kê và xử lý data thì tác giả đã đưa ra nhận định thực tế về cuộc sống và những vấn đề xung quanh xã hội Mỹ。 Rất đáng đọc。
Rafael Cavalini
，
O google sabe mais de você do que você mesmo。 É basicamente assim que o livro começa， instigando a curiosidade e explicitando como nos comportamos em nossos relacionamentos sociais。O Autor， de Everybody Lies: Todo mundo mente: O que a internet e os dados dizem sobre quem realmente somos （Big Data， New Data， and What the Internet Can Tell Us About Who We Really Are）， possui escrita leve， fluida e envolvente， e levanta questionamentos ao tempos que os soluciona utilizando da análise de dados em ma O google sabe mais de você do que você mesmo。 É basicamente assim que o livro começa， instigando a curiosidade e explicitando como nos comportamos em nossos relacionamentos sociais。O Autor， de Everybody Lies: Todo mundo mente: O que a internet e os dados dizem sobre quem realmente somos （Big Data， New Data， and What the Internet Can Tell Us About Who We Really Are）， possui escrita leve， fluida e envolvente， e levanta questionamentos ao tempos que os soluciona utilizando da análise de dados em massa – Big Data。Primeiramente， o autor define o que pode ser dados， se corpos podem ser， se imagens pode ser， se palavras também。 Em segundo faz uma análise da aplicação da análise de dados no cotidiano， trazendo exemplos de análises exitosas e outras nem tanto。Se for para apontar um tema central， e talvez por isso seja o título da capa， o tema seria: todas as pessoas tendem a mentir para outras pessoas， inclusive para si， mas não o fazem em pesquisas ao google。 Isso porque o google é， atualmente， a primeira fonte de solução de dúvidas e se alguém busca solucionar uma dúvida， dificilmente o fará mentindo。 Isso quer dizer que o Big Data não mente， porque “mentimos para as pessoas， mas não para o Google”。De maneira mais clara， o livro aponta que pessoas tendem a mentir em pesquisas como: as americanas dizem que fazem sexo em média 50 vezes por ano， e usam camisinha 16% das vezes; isso daria， nos Estados Unidos， 1，1 bilhão de camisinhas por ano。 Os homens dão números diferentes， que indicariam a venda de 1，6 bilhão de camisinhas。 Ambos estão mentindo vez que segundo os dados， menos de 600 000 camisinhas são vendidas por ano no país。O livro discorre sobre as quatro vantagens do Big Data: 1。 o acesso a novos tipos de dados （inclusive dados das buscas em sites pornográficos）;2。 Sinceridade das pessoas quando pesquisam em sites de busca;3。 O poder de refinar as pesquisas， com foco em subgrupos;4。 Poder realizar experiências， como a análise A/B。Tais práticas já estão sendo utilizadas por grandes empresas， políticos em campanha （inclusive amplamente utilizada na campanha à presidência de Obama）， estudiosos， pesquisadores， entre outros。 E ajudam a conclusões mais corretas e em muitos casos contra-intuitivas。 Por exemplo: um estudo da Universidade Harvard， concluiu que não é a religião， nem o meio ambiente， nem os sistemas de saúde pública que apresentam correlação positiva com maior longevidade dos mais pobres。 A variável que mais importa， segundo a pesquisa， é quantas pessoas ricas vivem na cidade。 Ou seja， os pobres de uma cidade com mais ricos， como Nova York， vivem mais do que os pobres de uma cidade com menos como de Detroit。O livro é essencial para qualquer profissional， já que a análise de dados influencia direta ou indiretamente em todos os aspectos da vida。 Por isso o autor， em sua conclusão， afirma que: o próximo Freud será cientista de dados， o próximo Focault e o próximo Kinsey também。 Um aspecto negativo para apontar é a tradução， que possui alguns erros de concordância mas nada que prejudique a leitura e interpretação do texto。 。。。more
Elynn
，
It's interesting that I chose to read this right after Malcolm Gladwell's book Blink。 They are nearly complete opposites。 One being on making decisions on little information and the other on gathering as much information as possible。 I mentally had to come to terms with this concept and how I felt about the diametrically opposite angles。 Overall I lean more towards Gladwell's theories， but I think there is a place for big data。 I agree that pulling data from sources such as internet searches can It's interesting that I chose to read this right after Malcolm Gladwell's book Blink。 They are nearly complete opposites。 One being on making decisions on little information and the other on gathering as much information as possible。 I mentally had to come to terms with this concept and how I felt about the diametrically opposite angles。 Overall I lean more towards Gladwell's theories， but I think there is a place for big data。 I agree that pulling data from sources such as internet searches can be more accurate than questionnaires （since people do lie）， but I think you have to be really careful about the conclusions drawn。 In many cases this book did not give （in my opinion） a good enough explanation to justify some of the conclusions。 For example， many conclusions were based on the number of times a word was searched on google， but they give no indication if those results were 1 person searching 100 times or 100 people searching once each。 Maybe the data does not specify， but that could impact how you see the results。 。。。more
Choirul Roziqin
，
it's like reading netflix series the social dilemma it's like reading netflix series the social dilemma 。。。more
Karen
，
It starts out a little too heavy on the shock-value， but that settles down after a few chapters。 it definitely has interesting things to say， and is not as self-congratulatory as Freakonomics， so I enjoyed this one much more。 It provides many things to think about， not just the examples that are given but how those examples could apply to other situations。 Worth a read。
RDC
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It's a very interesting book。 Asks and answers questions I never thought of asking or never knew how to answer。It has some good insights into what people truly think and gives very good ideas， as long as you know your way around technology， on how to answer some questions， using Big Data， you might not know you had。I love that Seth is direct and to the point and does not extend himself more than he needs。I still found some parts a bit repetitive and would love to actually read the first draft an It's a very interesting book。 Asks and answers questions I never thought of asking or never knew how to answer。It has some good insights into what people truly think and gives very good ideas， as long as you know your way around technology， on how to answer some questions， using Big Data， you might not know you had。I love that Seth is direct and to the point and does not extend himself more than he needs。I still found some parts a bit repetitive and would love to actually read the first draft and see if I would enjoy it more。It's an interesting book。 If you like nonfiction， science books， have a go at it。。。 。。。more
Lukas Ghassemi
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Unterhaltsamer Schreibstil und somit erstaunlich entspannt zu lesen。 Super spannende Statistiken。Viele interessante Ansätze die nur leider eigentlich nie komplett zuende gedacht werden und oft fast klar zuwenig weiter gedacht wird， so daß es was von verschwendetem Potential hat。Weiters Contra: Smalltalks mit mir werden jetzt anstrengender
Mattias Altin
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