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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
informative
inspiring
reflective
medium-paced
informative
medium-paced
Fascinating! A must-read for those who enjoyed [b:Freakonomics: A Rogue Economist Explores the Hidden Side of Everything|1202|Freakonomics A Rogue Economist Explores the Hidden Side of Everything|Steven D. Levitt|https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1550917827l/1202._SX50_.jpg|5397] or the subsequent books/podcast by Levitt and Duber.
I was thrilled when Seth said at the end of the book that it was his reading of Freakanomics that led him to become an 'economist' and then work in the field (and write this book).
This book is both fascinating and sobering...
I was thrilled when Seth said at the end of the book that it was his reading of Freakanomics that led him to become an 'economist' and then work in the field (and write this book).
This book is both fascinating and sobering...
Acertei em cheio nessa leitura! Seth Stephens-Davidowitz apresenta uma análise de como as pessoas se comportam, na mesma linha do [b:The Signal and the Noise: Why So Many Predictions Fail - But Some Don't|34363332|The Signal and the Noise Why So Many Predictions Fail - But Some Don't|Nate Silver|https://images.gr-assets.com/books/1487661438s/34363332.jpg|19175796] e do [b:Dataclisma: Quem somos quando achamos que ninguém está vendo|34868196|Dataclisma Quem somos quando achamos que ninguém está vendo|Christian Rudder|https://images.gr-assets.com/books/1492374451s/34868196.jpg|40787528]. Mas enquanto Signal and the Noise fala de tendências de dados e Dataclisma fala do comportamento das pessoas dentro do OkCupid!, Everybody Lies fala de como as pessoas se comportam em geral.
O autor usa uma série de dados de forma bastante inovadora, como tendências de buscas no Google (onde ele trabalha), buscas no PornHub, Facebook e outras fontes de big data para fazer o que ele chama de "sociologia de verdade" ou sociologia baseada em evidências. Os dados que ele mostra sobre preconceito (buscas por temas preconceituosos), insegurança de auto-imagem, inseguranças em relação aos filhos e afins mostram uma imagem bem mais crua e feia da sociedade do que o que pintamos com postagens em Facebook e Instagram.
Outros revelam informações no mínimo interessantes, sobre a diferença que se formar em Harvard pode fazer (nenhuma, o ponto parece estar em quem se forma), onde criar os filhos, como aumentar as chances de sucesso em um encontro... O livro lembra bastante uma versão mais nova e, na minha opinião, mais curiosa da abordagem inovadora de Freakonomics.
Se você não está interessado na revolução que o registro e a disponibilidade de dados está causando no mundo, e no estrago que empresas e governos conseguem fazer com o controle que têm sobre a informação, no mínimo vai curtir o livro pelos fatos curiosos e mórbidos que ele levanta dos dados. Saber por exemplo que o número de homens que buscam como fazer bem sexo oral nas mulheres é o mesmo que busca por como fazer sexo oral em si mesmo fala muito sobre como as pessoas pensam. Um livro para todos os gostos.
O autor usa uma série de dados de forma bastante inovadora, como tendências de buscas no Google (onde ele trabalha), buscas no PornHub, Facebook e outras fontes de big data para fazer o que ele chama de "sociologia de verdade" ou sociologia baseada em evidências. Os dados que ele mostra sobre preconceito (buscas por temas preconceituosos), insegurança de auto-imagem, inseguranças em relação aos filhos e afins mostram uma imagem bem mais crua e feia da sociedade do que o que pintamos com postagens em Facebook e Instagram.
Outros revelam informações no mínimo interessantes, sobre a diferença que se formar em Harvard pode fazer (nenhuma, o ponto parece estar em quem se forma), onde criar os filhos, como aumentar as chances de sucesso em um encontro... O livro lembra bastante uma versão mais nova e, na minha opinião, mais curiosa da abordagem inovadora de Freakonomics.
Se você não está interessado na revolução que o registro e a disponibilidade de dados está causando no mundo, e no estrago que empresas e governos conseguem fazer com o controle que têm sobre a informação, no mínimo vai curtir o livro pelos fatos curiosos e mórbidos que ele levanta dos dados. Saber por exemplo que o número de homens que buscam como fazer bem sexo oral nas mulheres é o mesmo que busca por como fazer sexo oral em si mesmo fala muito sobre como as pessoas pensam. Um livro para todos os gostos.
informative
reflective
medium-paced
A good book for intuition building around data. Information/data is a pretty nebulous term for a lot of people, and having lots of real life examples of how it can be collected and used, as well as how these use cases can be categorised, can be pretty helpful.
Fascinating book about data science and the human psyche. The author uses Google search data and others to tap into insights previously unknown from self report survey data (this was published in 2017 so lots from the rise of trump and 2016 elevation). Book is written in a very engaging answer approachable manner. Onto his next one!
informative
inspiring
reflective
fast-paced
A McKay's find from my last trip. This was SUCH an easy read and right as I was bemoaning the extra time it takes to read non-fiction. Good jumpstart for me.
I love this book because it focuses on random weird data and just seeing what you can make of it. It's a playground for data creativity and it keeps you engaged. These aren't life-changing conclusions, no moral assignments, quite often zero impact correlations. I think Seth was just trying to explore & demonstrate potential rather than form conclusions, and I appreciated the tongue in cheek nature of the observations, the constant reminders that a predictive relationship doesn't necessarily mean anything and that it is often difficult and frequently impossible to know why a relationship is predictive.
He reviews the potential and also the limitations of Big Data, the ability to scale, the ability to check a confounding or omitted variable immediately instead of spending months creating, running, and processing another IRL study. Currently working through the ethics of data in sales at work and I'm glad he talked through that. Overall, the book was engaging, kept me questioning, pushing back on conclusions, sometimes my questions were addressed later and sometimes they weren't. Good little spark to get you thinking about research design, potential opportunities, verification checks, and common statistical issues.
I love this book because it focuses on random weird data and just seeing what you can make of it. It's a playground for data creativity and it keeps you engaged. These aren't life-changing conclusions, no moral assignments, quite often zero impact correlations. I think Seth was just trying to explore & demonstrate potential rather than form conclusions, and I appreciated the tongue in cheek nature of the observations, the constant reminders that a predictive relationship doesn't necessarily mean anything and that it is often difficult and frequently impossible to know why a relationship is predictive.
He reviews the potential and also the limitations of Big Data, the ability to scale, the ability to check a confounding or omitted variable immediately instead of spending months creating, running, and processing another IRL study. Currently working through the ethics of data in sales at work and I'm glad he talked through that. Overall, the book was engaging, kept me questioning, pushing back on conclusions, sometimes my questions were addressed later and sometimes they weren't. Good little spark to get you thinking about research design, potential opportunities, verification checks, and common statistical issues.
This is such a fascinating book. It talks about big data/data science, what it can do, what its limits are, and ethical considerations. But it shares many interesting observations from big data, mostly drawn from Google searches. You'll learn about how racist Google searches correlated with Trump-supporting districts, how to measure a nation's GDP from space, how violent movies reduce crime rates, and so much more. The title is a reference to how people will tend to lie, even on anonymous surveys, how companies lie and even how we lie to ourselves.
This is a very interesting book. I recommend it highly.
This is a very interesting book. I recommend it highly.
I have quite a few quibbles with some of SS-D’s sweeping conclusions—mostly to the effect that people’s motivations are much murkier and more complex than he often wants to give them credit for. But he could hardly have written this book without some drastic oversimplifications, and the book is certainly worth reading for its insights into what Big Data can and cannot (and should not) do for us. Definitely worth thinking about in this day and age.