Ranked #3 in Big Data, Ranked #5 in Business Statistics — see more rankings.
Longlisted for the National Book Award
New York Times Bestseller
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... more
New York Times Bestseller
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... more
Reviews and Recommendations
We've comprehensively compiled reviews of Weapons of Math Destruction from the world's leading experts.
Paula Boddington How the use of algorithms has affected people’s lives and occasionally ruined them. (Source)
Ramesh Srinivasan This book is a really fantastic analysis of how quantification, the collection of data, the modelling around data, the predictions made by using data, the algorithmic and quantifiable ways of predicting behaviour based on data, are all built by elites for elites and end up, quite frankly, screwing over everybody else. (Source)
Rankings by Category
Weapons of Math Destruction is ranked in the following categories:
- #27 in Algorithms
- #55 in Analysis
- #23 in Artificial Intelligence
- #68 in Commerce
- #98 in Computer
- #10 in Data Science
- #8 in Databases
- #57 in Democracy
- #35 in Field
- #62 in How Things Work
- #91 in IT
- #86 in Information
- #93 in Information Technology
- #9 in Insurance
- #44 in Internet
- #38 in Machine Learning
- #38 in Math
- #88 in STEM
- #72 in Science and Math
- #17 in Statistics
- #23 in Tech
- #28 in Technology