A “quant,” or quantitative analyst, is a specialist who uses mathematical and statistical methods to analyze the economy.
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Hedge Fund
A hedge fund is a partnership of investors that uses high-risk methods to make a profit. Hedge funds focus on small fluctuations in the economy, train algorithms to predict errors and price swings, and place…
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2007-2008 Financial Crisis
The 2007-2008 financial crisis was a worldwide economic downturn that began in the United States. The crisis stemmed from banks lending subprime mortgages (in other words, lending mortgages to people at a high risk of…
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Big Data
Big Data, or the so-called “Big Data economy,” is a field that seeks to analyze incredibly large data sets through models and algorithms—some of which O’Neil classifies as “weapons of math destruction” because…
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Value-added Model
Value-added models seek to measure a teacher’s effect on their students’ achievement by predicting how students will score on an assessment. Teachers are then either rewarded or reprimanded based on the gap between the model’s…
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The LSI-R (short for Level of Service Inventory-Revised) is a recidivism model that seeks to determine how likely a criminal is to repeat their offense after being released from prison. These models were built to…
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PredPol
PredPol, short for Predictive Policing, is software pioneered by a California-based start-up that uses historical crime data to show where and when crimes are most likely to occur. PredPol was pioneered to cut down on…
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Stop and Frisk
“Stop and frisk” is a New York City Police Department practice of stopping, detaining, questioning, and frisking or searching civilians on the street—especially in low-income, high-crime neighborhoods. In the early 2010s, the NYPD reported stopping…
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FICO Score
FICO scores are the standard credit-scoring system in the United States. The FICO model was created to evaluate the risk of a person defaulting on a loan. And because the model was designed to be…
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E-scores/E-scoring
E-scores and e-scoring systems aggregate everything from zip codes to internet behavior to purchase history to create unregulated algorithms. These algorithms are then used to determine whether a person is worthy of things like credit…
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Redlining
Redlining is an illegal practice used by bankers and insurance companies to delineate neighborhoods in which they refuse to invest or operate. Modern-day redlining is often fueled by harmful algorithms (what O’Neil calls “weapons…
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Microtargeting
Microtargeting is any kind of personalized advertising targeted at a specific person (or kind of person) based on data gathered from a person’s internet history or demographics. Microtargeting is vast, hard to understand, and unregulated—so…
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