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Everybody Lies
- Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
- Lu par : Timothy Andrés Pabon
- Durée : 7 h et 39 min
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Description
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 reveal about ourselves and our world - provided we ask the right questions.
By the end of an average day in the early 21st 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 20 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 every day, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
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Ce que les auditeurs disent de Everybody Lies
Moyenne des évaluations utilisateurs. Seuls les utilisateurs ayant écouté le titre peuvent laisser une évaluation.Commentaires - Veuillez sélectionner les onglets ci-dessous pour changer la provenance des commentaires.
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- Client d'Amazon
- 19/07/2019
Very interesting and well narrated
This book reveals many interesting facts about our lives that we commonly ignore about ourselves. The writer put a lot of effort in stating accurate data by putting things into perspective and looking at it from different points of view.
Moreover, the story is told with humor and lightness.
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- Pierre Gauthier
- 01/01/2019
Mind Opening!
In this fascinating book, Seth Stephens-Davidowitz vividly succeeds in demonstrating the pertinence of using big data and in outlining the tremendous future positive impacts it should have in social sciences.
The examples he brings up are wide-ranging, from the impact of racism on US presidential election results to the factors affecting the future performance of race horses or baseball players. Indeed, at times, the text appears almost disjointed, a consequence perhaps of bringing together data from a certain number of the newspaper columns he has written in the New York Times.
The writing style is at once generous, personal and warm. Though the author makes multiple references to his personal situation and to his family, these somehow are never excessive nor aggravating. He succeeds as promised in producing a witty conclusion, “with a twist”.
It must be underscored that the text is specifically adapted for the audiobook version, in full respect of the times and of listeners. In addition, a PDF “enhancement” presenting various graphs, tables and illustrations is graciously included with the purchase.
Overall, this synthetic and substantial offering is warmly recommended to all interested in current intellectual developments.
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- Shane Hampson
- 20/02/2020
Leave out the politics please
The world is so full of politics, this book is no exception. I read books to get away from it. Whether you like Trump or you don't. This author has a bias against Trump. That's fine but why do you have to include it in the book? If it was all data based fine since that's what the book is about but lines like "take that Trump" is just childish and unneeded. Makes me questions his data since it is clearly slanted in at least one way.
210 personnes ont trouvé cela utile
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- Angry Infidel
- 15/09/2018
Unnecessary Trump Bashing
Kind of a boring book with a lot of liberal Trump bashing thrown in for no apparent reason. I would not recommend this book or, due to the author’s politically charged agenda, any other book by this author. He should have checked his political opinions at the door and focused purely on the topic at hand, not trying to spread his leftist ideology and take jabs at others.
183 personnes ont trouvé cela utile
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- Larry V.
- 24/08/2018
unbelievably biased data scientist
the author even tells you right up front that he's completely biased in his thought patterns, and that only by studying Google searches is he able to step back and see he may be wrong in his assumptions.
he then uses Google searches with a biased filter that is obviously anto capitalist, anti Trump and anti USA to proclaim that everybody lies.
oh, but not the author. the author knows the REAL truth because he analyzed some Google searches to slant things to his perspective.
a disgusting book to read.
150 personnes ont trouvé cela utile
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- Laura
- 09/08/2017
Might be worth it to get the book
Overall, this audiobook has some interesting insights and explains methods clearly. However, there were a lot of visuals referenced that are lost in an audio-only version, so if this is a topic you're really interested in, probably best to get the book.
119 personnes ont trouvé cela utile
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- Miroslav
- 22/06/2017
Interesting but not flawless
Interesting book, easy to listen to. The problem is the author likes to jump to conclusions he can't substantiate. And he even knows it, as in some cases he explains how the data is not enough. And he still does it anyway.
86 personnes ont trouvé cela utile
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- C. N. Dear
- 02/02/2018
Disappointing
The gist of the beginning of the book...
“People in America often do google searches for the n-word, and since Donald Trump is such an avowed racist, that is why he was elected president.”
Some liberals will like this book. Some conservatives will hate it. But all those interested in reading/listening-to a book on technology and science will be disappointed!
I am returning this book.
75 personnes ont trouvé cela utile
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- Amazon Customer
- 16/03/2018
Possibly the worst book I’ve ever read...!
This is an entire book of junk science used to push the authors political opinions. I seriously want my money back...
64 personnes ont trouvé cela utile
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- Justin Bieliever
- 26/07/2017
Even as a liberal, this is liberal propaganda.
Absolutely baseless and fake. Uses words from data science and statistic to sound legit. It's not. Makes very quick causation relationships where they don't even exist in the first place. This author is fraud who sells himself as a reputable statistician. Absolutely horrifying book full of liberal propaganda (and IM LIBERAL and shocked by the author's false and disgusting attributions to things that aren't true. This is a scary book in that it sells fiction as fact, and the lack of correlation as causation (WTF). Regrettable purchase. Author should be ignored, avoided, and exposed for his fraud.
57 personnes ont trouvé cela utile
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- Joe C.
- 30/05/2017
Good, but not Freakanomics great
I very much enjoyed this audiobook, but I was a little disappointed because he did not live up to the personal expectation I had after having heard the author in a handful of podcasts. I was under the impression the book was going to be filled with an endless amount of conclusions drawn from Big Data. instead, the audiobook is predominantly a polemic in favor of the use of big data sprinkled with little bits of information.
Still, I very much enjoyed it and would recommend it to anyone I know.
53 personnes ont trouvé cela utile
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- Paul
- 16/06/2018
Total BS
This book is just another example of the liberal bias that lumps everything into racism and discrimination it is a despicable example of rewriting history
50 personnes ont trouvé cela utile
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- HJD
- 10/09/2017
Disappointing
Nothing truly new if you really want to discover the fascinating world of big data. Blending facts with personal political views disqualifies the book for me. Nevertheless, a good read for those not familiar to this field.
3 personnes ont trouvé cela utile
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- Gabi Feller
- 17/07/2021
Interesting new angles on human data traces
I enjoyed the audio book - the narrator does a really good job.
Though nothing was highly surprising or shocking, the author opens up on what big data reveals on human behavior than what classical methods (survey, laboratory experiments, …) can not. We learn about different elements of big data from the internet that gives us more opportunities to understand phenomena besides having lots of evidence: ability to “double click” into smaller intersections, natural experiments, anonymity.
I was really intrigued by the new insights from racism research in the US (which is the beginning).
The middle part on sex, human insecurities etc. is okay but could be shorter.
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- Henrik
- 01/03/2021
Everybody has to interpret
This book is about the use of big data to drive social science. I think it's an interesting field and an approach which could spawn many insights of surprising and trivial nature.
I have one serious reservation about this book, though, and it's the apparent naive, unreflective, preconceived, prejudicial Interpretation of data. When he interprets google searches he mostly imagines that the people sitting at the other end truly means or intent what they are typing.
Let me give an example. If there are15,000 searches yearly on "kill all muslims", as I think he reports, then it must be a sign of islam phobia. But what if these searches were made by muslims being worried about anti-muslim sentiment, or teenagers hoping to find some crazy shit because of boredom and so on. I don't see how he controls for that. It's as if he always know the context and the intent of the utterance. I'm not convinced. Let me take another example. He writes that there are more searches on "Is my son a genius?" As I remember it, he interprets it as a bias towards boys and girls. Well maybe the context of such a search is often a parent despairing about there hopeless son, but then they try to see if there could be some comforting signs that they have been too dumb to observe. I could go on, it's like that all the time, I would have loved to ask him the question about the collapse of or his lacking controll or investigation into context.
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- Andreas Gryphius
- 22/01/2021
Biased
The author sounds like an insufferable liberal. I couldn't listen to this for more than 20 minutes.
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- Utilisateur anonyme
- 10/11/2017
informativ inspirierend und humorvoll.
Macht viel Spaß und ist perfekt zum füllen von busfahrten autofahrten oder wenn man allein isst. Nicht zum abends hören geeignet außer man möchte schnell einschlafen ;)
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- ug
- 24/10/2017
excellent
great insights, highly entertaining, could not put it aside, must read for newbies to data science
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- CK-Berlin
- 06/07/2017
Scary what they know from us
some chapters has its length, but overall it is a very good book you'll get some insights and will definitely think about some topics...