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    Inhaltsangabe

    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.

    ©2017 Seth Stephens-Davidowitz (P)2017 HarperCollins Publishers

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    Gesamt
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    Rezensionen - mit Klick auf einen der beiden Reiter können Sie die Quelle der Rezensionen bestimmen.

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    • Gesamt
      3 out of 5 stars
    • Sprecher
      4 out of 5 stars
    • Geschichte
      3 out of 5 stars
    • 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 Leute fanden das hilfreich

    • Gesamt
      4 out of 5 stars
    • Sprecher
      4 out of 5 stars
    • Geschichte
      4 out of 5 stars

    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.

    • Gesamt
      1 out of 5 stars
    • Sprecher
      3 out of 5 stars
    • Geschichte
      1 out of 5 stars

    Biased

    The author sounds like an insufferable liberal. I couldn't listen to this for more than 20 minutes.

    • Gesamt
      5 out of 5 stars
    • Sprecher
      5 out of 5 stars
    • Geschichte
      5 out of 5 stars

    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 ;)

    • Gesamt
      5 out of 5 stars
    • Sprecher
      5 out of 5 stars
    • Geschichte
      5 out of 5 stars
    • ug
    • 24.10.2017

    excellent

    great insights, highly entertaining, could not put it aside, must read for newbies to data science

    • Gesamt
      4 out of 5 stars
    • Sprecher
      4 out of 5 stars
    • Geschichte
      4 out of 5 stars

    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...