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I’ve been studying election integrity for 26 years, and here’s why I expect a normal election this November instead of chaos
The author says election officials have safeguards in place and that fears of widespread disruption are overstated.
- Election-Integrity researcher Justin Levitt dismissed fears of widespread voter intimidation at next month's polls, citing the logistical impracticality of organizing interference across roughly 100,000 polling locations.
- An NPR survey found about 40% of voters fear ICE agents at polling sites, though the federal government stated it does not plan mass patrols but left open the possibility of agents responding to specific incidents.
- Recent ballot seizures in Fulton County and Riverside involved old, already tallied documents, which differs significantly from seizing pending ballots—an act that would be "flatly unconstitutional" .
- Levitt predicted a group of a dozen people might attempt to disrupt a single suburban polling place with camera crews, though such isolated events remain distinct from nationwide operations.
- The election process operates independently of presidential influence, and Levitt expressed confidence that the system is prepared to function normally despite widespread voter anxiety about the upcoming vote.
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Purdue Exponent+26 Reposted by 26 other sources
I’ve been studying election integrity for 26 years, and here’s why I expect a normal election this November instead of chaos
Mayhem at the polls on Election Day 2026? Americans are worried. But a scholar of election law who has also run a nationwide election protection program says he doesn’t believe it will happen.
I’ve been studying election integrity for 26 years, and here’s why I expect a normal election this November instead of chaos
by Justin Levitt, Loyola Law School Los Angeles, [This article first appeared in The Conversation, republished with permission] Fear of federal interference in the 2026 midterms, from intimidation stoked by...
Coverage Details
Total News Sources30
Leaning Left7Leaning Right5Center14Last UpdatedBias Distribution54% Center
Bias Distribution
- 54% of the sources are Center
54% Center
L 27%
C 54%
R 19%
Factuality
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