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662 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
662 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
My friend and I affectionately call this book "Fun Fact: The Novel". You will walk away with so much ammo; you'll never hear another awkward silence again.
Guys, this book is crazy interesting. I love the concept alone, the idea that Big Data can tell us so much more about ourselves. But Seth presents it in such a digestible way. There is so much to be gained from this book. If nothing, you'll walk away with great trivia knowledge. If everything, you'll realize that we are greatly under-utilizing Big Data and the way it can shape our research. People lie and people don't always say what they feel. But more than that, people reveal much more by their actions and their clicks than by their words. If you want to really know how the data science industry is pioneering its next steps, read this freaking book.
Big Data research has already told me that most people won't finish this book. Prove Big Data wrong.
Guys, this book is crazy interesting. I love the concept alone, the idea that Big Data can tell us so much more about ourselves. But Seth presents it in such a digestible way. There is so much to be gained from this book. If nothing, you'll walk away with great trivia knowledge. If everything, you'll realize that we are greatly under-utilizing Big Data and the way it can shape our research. People lie and people don't always say what they feel. But more than that, people reveal much more by their actions and their clicks than by their words. If you want to really know how the data science industry is pioneering its next steps, read this freaking book.
Big Data research has already told me that most people won't finish this book. Prove Big Data wrong.
کتاب "همه دروغ میگویند”
میگه ما به همه دروغ میگیم به جز گوگل!
میگه به جای این که از کسي بپرسید افسرده هستی، بهتره ببینید تا حالا، درباره ی روش های درمان افسردگی توی گوگل سرچ کرده یا نه؟
یا به جای این که از هزار نفر بپرسید نژاد پرست هستند یا نه، بهتره ببینید چند درصد مردم، جک هاي توهین آمیز قومیتي و نژاد پرستانه رو برای هم فوروارد میکنند!
کتاب ما رو با علم داده و بیگ دیتا آشنا میکنه
که به نظرم آشنایي کلي با این علم
در دنيای امروز از واجباته.
و البته با مثال هاي حیرت انگیزی که میزنه ،
متوجه میشیم که ارزش این همه اطلاعاتی که گوگل و اینستاگرام و شرکت هاي مشابهش جمع آوری می کنند، چقدر زیاده.
برای کسایی که اهل رمان خوندن نیستن، واقعا کتاب جذابیه.
Kniha s názvom Každý klame nehovorí len o prípadoch, kedy na internete klameme, ponúka nám najmä skutočný pohľad na to, čo o nás vypovedá to, čo na internete vyhľadávame, keď nás (zdanlivo) nikto nevidí.
Mám rada zaujímavé štatistiky, a preto som od začiatku tejto knihy len otvárala oči a usilovala sa čo najviac z nich si zapamätať. Bavilo ma sledovať spôsob, ako sa autor - analytik Googlu - zamýšľal nad rôznymi vecami, spájal mnohé dáta a vyvodzoval z nich zaujímavé zistenia. Kniha je nabitá informáciami a štatistikami na naozaj všemožné témy, je tam veľa veľa zaujímavo, no musím povedať, že čím viac som sa blížila ku koncu, moje nadšenie sa jemne vytrácalo. Asi to je dosť subjektívne, no vyrušovala ma (ne)logika (ne)nádväznosti jednotlivých tém. Alebo možno len tých tém bolo priveľa, ktovie.
Kniha však určite stojí za prečítanie, sledovanie toho, čo ľudia skutočne vyhľadávajú vie byť zábavné, nečakané a občas i desivé.
Mám rada zaujímavé štatistiky, a preto som od začiatku tejto knihy len otvárala oči a usilovala sa čo najviac z nich si zapamätať. Bavilo ma sledovať spôsob, ako sa autor - analytik Googlu - zamýšľal nad rôznymi vecami, spájal mnohé dáta a vyvodzoval z nich zaujímavé zistenia. Kniha je nabitá informáciami a štatistikami na naozaj všemožné témy, je tam veľa veľa zaujímavo, no musím povedať, že čím viac som sa blížila ku koncu, moje nadšenie sa jemne vytrácalo. Asi to je dosť subjektívne, no vyrušovala ma (ne)logika (ne)nádväznosti jednotlivých tém. Alebo možno len tých tém bolo priveľa, ktovie.
Kniha však určite stojí za prečítanie, sledovanie toho, čo ľudia skutočne vyhľadávajú vie byť zábavné, nečakané a občas i desivé.
Rating: I didn’t like it 😞
2019’s ATY in 52 books: 2. A book with one of the 5 W's in the title (Who, What, Where, When, Why).
This book is about big data and the application of Google’s tools in it.
The author assumes a lot, and draws conclusions out of nowhere in my opinion. I think this should’ve been an essay or blog post not a whole book.
There’s a few interesting bits but overall it felt repetitive and underdeveloped, like just a theory not actual facts.
Side note: The audiobook narrator sounded like a robot, I got used to him but I’ve never heard a human voice that sounded soo fake before (sooorry😐).
2019’s ATY in 52 books: 2. A book with one of the 5 W's in the title (Who, What, Where, When, Why).
This book is about big data and the application of Google’s tools in it.
The author assumes a lot, and draws conclusions out of nowhere in my opinion. I think this should’ve been an essay or blog post not a whole book.
There’s a few interesting bits but overall it felt repetitive and underdeveloped, like just a theory not actual facts.
Side note: The audiobook narrator sounded like a robot, I got used to him but I’ve never heard a human voice that sounded soo fake before (sooorry😐).
This book is full of interesting vignettes for what, to me today, is not all too radical a proposition. Mostly, though, I wonder what would have happened and what would have stood out if the author/researcher were not a young man. A Black person could definitely have said there were closer racists without Google searches for the n-word, for example. That said, this book attempts to be a start and I learned some new facts and ways to think about data.
It's a total data nerd book but the material is fascinating.
The data scientist who wrote the book uses big data from public domain data sources like- google search and porn hub to illustrate people behavior against what they report on survey data to show how on surveys people lie and what they do when they think no one is looking are very different.
The data scientist who wrote the book uses big data from public domain data sources like- google search and porn hub to illustrate people behavior against what they report on survey data to show how on surveys people lie and what they do when they think no one is looking are very different.
Nice, short, light overview of big data analysis of specifically sources like people's Google search queries for gaining knowledge about beliefs, attitudes, and behaviors of large groups of people.
Notable for an opening section suggesting that a good explanation for the Trump 2016 victory is that search queries indicate the US has much more out-and-out blatant racism than we generally believe.
Easy read for the general public.
Notable for an opening section suggesting that a good explanation for the Trump 2016 victory is that search queries indicate the US has much more out-and-out blatant racism than we generally believe.
Easy read for the general public.
I am actually pretty disappointed by this book. I thought this book was going to be about things people lie about, which we know based on internet searches. Unfortunately, only a small portion of this book was about that. Most of this book focused on big data generally and how it is being used, which I just wasn't interested in. I also agree with another reviewer who said it seemed like the author was trying to imitate Freakonomics.
This is both a series of great insights into human nature and human behaviour, as well as a solid introduction to the power and limitations of big data. Most of the insights are fascinating, and many of them have practical application. Highly recommended for anybody that wants to be smarter.
challenging
funny
informative
lighthearted
reflective
fast-paced