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Weapons of Math Destruction Audiobook

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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Audible Editor Reviews

"Though terrifying, it's a surprisingly fun read: O'Neil's vision of a world run by algorithms is laced with dark humor and exasperation - like a modern-day Dr. Strangelove or Catch-22." (Steven Strogatz, Cornell University, author of The Joy of x)

Publisher's Summary

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric

We live in the age of the algorithm. Increasingly the decisions that affect our lives - where we go to school, whether we get a car loan, how much we pay for health insurance - are being made not by humans but by mathematical models. In theory this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.

But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable even when they're wrong. Most troublingly, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a "toxic cocktail for democracy". Welcome to the dark side of big data.

Tracing the arc of a person's life, O'Neil exposes the black-box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set paroles, and monitor our health.

O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become savvier about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

©2016 Cathy O'Neil (P)2016 Random House Audio

What the Critics Say

"Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. This book is wise, fierce, and desperately necessary." (Jordan Ellenberg, University of Wisconsin-Madison, author of How Not to Be Wrong )

"Weapons of Math Destruction shines invaluable light on the invisible algorithms and complex mathematical models used by government and big business." (Astra Taylor, author of The People's Platform)

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  •  
    Laurent Bourgault-Roy Canada 01-08-17
    Laurent Bourgault-Roy Canada 01-08-17 Member Since 2015
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    "More are US social problems that WMD"

    A WMD, or weapon of math destruction, are usage of algorithm that end up being discriminatory toward some people, or that cause problem with their wide scale deployment. For example, an algorithm that identify poor people can deny them services that help them, making them poorer. The algorithm prediction become self-fulfilling and prevent people from improving their condition.  

    The premise of the book is very good, and there are indeed a lot of good example of how misuse of big data algorithms can wreak havoc among society. The problem is that the author indignation push her away from what should have been the main subject of the book. 

    In the course of the book, the author raise a lot of recurring problem with WMD, like the "Flock of the feathers" generalization, the "self-fulfilling" prediction, the "discriminating proxy variable ", the "non-appealable conclusion" problem, the "non-measurable important factor". But those categories of problem, which, in my opinion, should have been the focus of the book, take a backseat toward the real subject of the book: how much the United State has social problems.

    Each chapter is written to for denounce a specific social problem in the US, like predatory ads toward the poor, racial discrimination toward minority, terrible working hour among low wage workers, and so on. Some of those subjects are indeed caused by WMD. But for some, the link with the purported subject of the book is a bit strenuous. In some case, the author even exclaims "well, that has nothing to do with WMD of course". And a lot of time, WMD are not the root cause of the problem, they only exacerbate an existing one. 

    That leave you with a book that is more like a classical sociology book denouncing the ill of the American society, with some talk about big data sprinkled on top. If, like me, you are not an American, you may feel a bit left out by that book. This is a shame, because by refocusing the book on the generic problem caused by WMD that I described above, the book could have had a much broader appeal. Don't get me wrong: The problem O Neil talk about ARE important social problem. But they are very specific to her own country, and the militant tone can become grating. I felt at time that the author was not explaining to me how WMD work and how to deal with them, but was rather trying to force her opinion of how the world should be over me. She was dictating me how I should think, rather than helping me shape my own opinion.

    In the end, I would have preferred a more objective tone and a better focus on WMD themselves, with conclusion that can be applied more broadly to everyone, not just US citizens.

    9 of 10 people found this review helpful
  •  
    Derek 09-13-16
    Derek 09-13-16 Member Since 2017
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    "a must read for the modern economy"

    O'Neil makes a strong case for the increasing importance of ethics in data science. The evidence for discrimination, whether intentional or not, is compelling. This book is a must for data professionals and anyone concerned with growing inequality in the economy.

    3 of 3 people found this review helpful
  •  
    Stephen 10-02-16
    Stephen 10-02-16 Member Since 2016
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    "A fascinating and startling look at where big data is blind"

    This book is totally worth the listen for the intro and first chapter alone. It's very well-written and easy to follow, and manages to tell clear stories about how the software we use to assess teacher performance or insurance risk is all to often encoded with the prejudices and blind spots of the people who make it. It shows how that is already damaging equality and democracy, and warns of areas where it may get worse.

    As a software designer, the one thing I would have loved from this book would be a little more depth about how software products might avoid these pitfalls. However, I'm probably coming at this book with unfair expectations, and it's likely a subject I just need to research more deeply.

    Overall, if you enjoy podcasts like Freakonomics and Planet Money, you'll probably love this. Happy I listened!

    2 of 2 people found this review helpful
  •  
    Zwelithini 09-14-16
    Zwelithini 09-14-16 Member Since 2017
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    "Good book"

    I like Cathy's writing and analysis. I wish they had gotten a professional reader though, it would have made it more enjoyable. It's not as if Cathy is awful or anything, she is just not professional.

    2 of 2 people found this review helpful
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    Michael 09-10-16
    Michael 09-10-16 Member Since 2017
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    "Experienced Insight and Issues Identified"

    The story is presented in a series of topics disclosures that compare by theme, data models can be made and used in ways that can damage society and make bad situations worse. Cathy O'Neil reveals how data models can be relied on with good intentions in mind, and by ignorance, dismissal or narrow-sightedness, can misrepresent, injure and derail people and societal function-ability.

    3 of 4 people found this review helpful
  •  
    Kacper 09-06-16
    Kacper 09-06-16 Member Since 2016
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    "Superb narration, beautifully written. "

    This is a must read! I thoroughly enjoyed the real world examples of how everything I do is a data point that is being used against me.

    5 of 7 people found this review helpful
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    Arseny 05-30-17
    Arseny 05-30-17 Member Since 2017
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    "High-level banter of Occupy Wall Street minded author"

    I thought there would be at least something about the math. Nope. If I could recommend a better read / audible that would be "Algorithms To Live By" book.

    0 of 0 people found this review helpful
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    Thomas F. Resing San Antoino, TX USA 05-15-17
    Thomas F. Resing San Antoino, TX USA 05-15-17 Member Since 2017

    Tom Resing

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    "Important topic"

    It was a struggle for me to finish this book, even as an audio book. However, it's an important topic. I'm not convinced the author's bias doesn't effect her results. It's presented as results of research. However, at the same time, the author shares lots of personal opinion. Her conclusion, that this needs more study an activism, is sound.

    0 of 0 people found this review helpful
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    Charles 05-13-17
    Charles 05-13-17 Member Since 2012
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    "nicely done"

    nice reminder of how the assumptions and goals/intent of a mathmatical model are vital to the interpretation of the model. the book establishes this via clear examples of models that are mismatches with the outcomes. the need for revision is demonstrated. as a professional scientist, i enjoyed the book very much and thoight it did a good job of explaining the technical nuance.

    0 of 0 people found this review helpful
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    Adi 05-08-17
    Adi 05-08-17 Member Since 2017
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    "Good general insight into big data and it's uses"

    The did a very good job describing how big data analytics can determine the quality of life for many people.

    The key point seems to be that big data analytics are used mostly by companies to make profit. In addition, they strengthen stereotypes.

    0 of 0 people found this review helpful

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