The Lawfare Podcast: Why is Government Hate Crimes Data So Terrible?

Tuesday, March 30, 2021, 12:00 PM

Published by The Lawfare Institute
in Cooperation With

Anti-Asian violence in the United States seems to be on the rise. On March 16, a shooter killed eight people, six of whom were Asian women, at several Atlanta businesses. Across the country, Asian-Americans have shared stories of attacks and harassment, some of which involved racist language in connection with the coronavirus pandemic.

Yet there is very little data available that could help journalists and policymakers make sense of this apparent trend. To understand why, Quinta Jurecic spoke with Jeff Asher, a crime analyst and the co-founder of AH Datalytics, who recently wrote for Lawfare on why there’s so little reliable data on anti-Asian violence—or on any other kind of hate crime. Jeff discussed the patchwork system by which the FBI currently collects data on hate crimes, what other factors might explain why the data is so unreliable and how improved data could help guide the response to anti-Asian attacks.

Jen Patja

Jen Patja is the editor and producer of the Lawfare Podcast and Rational Security. She currently serves as the Co-Executive Director of Virginia Civics, a nonprofit organization that empowers the next generation of leaders in Virginia by promoting constitutional literacy, critical thinking, and civic engagement. She is the former Deputy Director of the Robert H. Smith Center for the Constitution at James Madison's Montpelier and has been a freelance editor for over 20 years.

Quinta Jurecic

@qjurecic

Quinta Jurecic is a fellow in Governance Studies at the Brookings Institution and a senior editor at Lawfare. She previously served as Lawfare's managing editor and as an editorial writer for the Washington Post.