Weapons of Math Destruction Audiobook By Cathy O'Neil cover art

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

Preview

Try for $0.00
Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

Weapons of Math Destruction

By: Cathy O'Neil
Narrated by: Cathy O'Neil
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $18.00

Buy for $18.00

Confirm purchase
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Cancel

About this listen

NEW YORK TIMES BESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword

“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times

NATIONAL BOOK AWARD LONGLIST • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review The Boston GlobeWired Fortune Kirkus Reviews The Guardian Nature On Point

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

But as mathematician and data scientist Cathy O’Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination—propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.

©2016 Cathy O'Neil (P)2016 Random House Audio
Economics Privacy & Surveillance Public Policy Thought-Provoking Inspiring Suspenseful Business Math
activate_Holiday_promo_in_buybox_DT_T2

Editorial 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)

Critic reviews

“O’Neil’s book offers a frightening look at how algorithms are increasingly regulating people. . . . Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of the continuing weaponization of big data. . . . [She] does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives.”—The New York Times Book Review

"Weapons of Math Destruction is the Big Data story Silicon Valley proponents won't tell. . . . [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics . . . a thought-provoking read for anyone inclined to believe that data doesn't lie.”Reuters

“This is a manual for the twenty-first century citizen, and it succeeds where other big data accounts have failedit is accessible, refreshingly critical and feels relevant and urgent.”—Financial Times

Featured Article: The best data science audiobooks to keep you safe and savvy


One of today's most important and most exciting fields, data science incorporates statistics, algorithms, scientific methods, programming skills, and more to draw insights and value from data for everything from creating targeted marketing campaigns to advancing medical research. Want to know more about this interdisciplinary study? We've used our own analytical skills to select the very best data science audiobooks and podcasts to be your guide.

What listeners say about Weapons of Math Destruction

Average customer ratings
Overall
  • 4.5 out of 5 stars
  • 5 Stars
    1,786
  • 4 Stars
    742
  • 3 Stars
    282
  • 2 Stars
    77
  • 1 Stars
    65
Performance
  • 4.5 out of 5 stars
  • 5 Stars
    1,614
  • 4 Stars
    621
  • 3 Stars
    225
  • 2 Stars
    50
  • 1 Stars
    31
Story
  • 4.5 out of 5 stars
  • 5 Stars
    1,552
  • 4 Stars
    580
  • 3 Stars
    260
  • 2 Stars
    79
  • 1 Stars
    66

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    4 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    4 out of 5 stars

interesting read

very interesting. this woman's view on the world and how big data affects us are very compelling.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Eye-opening research!

This book is a must read for data scientists, students, policy makers and others who need a balanced view of the implications of our increasingly data-driven world.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars

Intriguing

While intriguing and insightful, in some instances the author may suffer from her own confirmation bias (an issue she attacks in the book). It's worth the listen, do not treat this book, or it's biases, as doctrine.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    3 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    3 out of 5 stars

Not bad, but...

I found it tiresome to listen to the narrator say WMDs so many times. I get the arguments, but perhaps she could've dug deeper on the ethics analysis rather than just on poverty and race variables.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Raises great questions and gives context

A valuable overview of the impact of our obsession with trying to predict the future through quantification.

A must-read (listen) for anyone who uses big data to make determinations about how others get to live, work or thrive. A must-read for anyone who’s applied for an education, a loan, a mortgage or a job. (Almost everyone?)

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    4 out of 5 stars
  • Performance
    1 out of 5 stars
  • Story
    5 out of 5 stars

great story, poor performance

The story is great, but the narrator sucks. She speaks so fast and sometimes mumbles the words it is hard to catch for non native speakers

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Math Gone Wrong

Important look at how mathematical models can create injustice. Well written and spoken. Not too long.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Thought provoking

While I don’t agree with every stance the author takes, she sheds a lot of light on how big data has crept into our lives. We should all be aware of the issues this book illustrates and then make our own decisions on what to do about them. Great read!

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

the author exposes a threat to our society

This book was a real eye-opener and explained a lot of the things in the background that are controlling what people think and have opinions about. America should be about protecting the most vulnerable. A lot of bad gets exposed.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Educated and essential

As a single mother about to graduate from college, this information sinks deep. It’s as if I already knew it, but not the whole picture. The history, present state, and future predictions related to analytics, algorithms and how it affects all of our lives is essential for anyone interested in breaking free of the cycles of racism, poverty, unemployment, and poor financial decisions.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!