Forecasting the Severity of Mass Public Shootings in the United States (Mar.10)

• NCJ Number: 304156
• Journal: Journal of Quantitative Criminology Dated: 2021
• Author(s): G. Duwe; et al
• Date Published: 2021
• Grant Number(s): 2018-75-CX-0025
• Agencies: NIJ-Sponsored

Annotation

Because the frequency and severity of mass public shootings follow a distribution resembling previously studied rare catastrophic event classes, the current study used similar procedures to forecast the future severity of these incidents within the United States.

 

Abstract

Mass shootings seemingly lie outside the grasp of explanation and prediction because they are statistical outliers in terms of their frequency and severity within the broader context of crime and violence. Innovative scholarship has developed procedures to estimate the future likelihood of rare catastrophic events, such as earthquakes that exceed 7.0 on the Richter scale or terrorist attacks that are similar in magnitude to 9/11. Using a dataset of 156 mass public shootings that occurred in the United States between 1976 and 2018, the current study forecasted the future probability of attacks reaching each of a variety of severity levels in terms of the number of gunfire victims killed and wounded across three different choices of tail model, three different scenarios for future incident rates, and other parameters. Using a set of mid-range parameters, the study determined that the probability of an event as deadly as the 2017 massacre in Las Vegas occurring before 2040 is 35 percent (90-percent uncertainty interval [8, 72]) and the study characterized how this projection varies substantially with choice of modeling parameters. The study’s results suggest an uncertain, but concerning, future risk of large-scale mass public shootings, while also illustrating how such forecasts depend on assumptions made about the tail location and other details of the severity distribution model. (publisher abstract modified)