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Questions grow about soldier’s Tesla Cybertruck attack at Trump Las Vegas hotel
The report urges nine improvements including specialized training for electric vehicle incidents and increased coordination among agencies after the New Year’s Day explosion injured seven.
- On Jan. 1, 2025, Matthew Livelsberger, a 37-year-old Green Beret, detonated a rented Tesla Cybertruck outside the Trump International Hotel, Las Vegas, and died by suicide after shooting himself seconds before the blast.
- On Dec. 28, 2024, Matthew Livelsberger rented a vehicle through Turo in Denver and later purchased firearms and explosives before arriving in Las Vegas.
- Investigators obtained 62 search warrants over about 10 days, while Metro crime scene analysts captured more than 4,000 photographs and collected 125 pieces of evidence.
- The after-action report recommends nine operational improvements, including specialized training for EV incidents after footage showed responders unaware of lithium-ion battery dangers, and extending emergency mobilization for New Year's due to staffing shortages.
- On Monday, Nov. 3, 2025, Metro released a 78-page report by Metro’s Office of Internal Oversight and Constitutional Policing, with Sheriff Kevin McMahill praising local, state and federal law enforcement coordination.
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Las Vegas police release report on Cybertruck explosion
The Las Vegas Metropolitan Police Department on Monday released a report detailing its response to the New Year's Day 2025 Cybertruck explosion outside the Trump International Hotel in the city. CBS News reporter Andres Gutierrez has the details.
·United States
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Mystery deepens over Special Forces soldier who blew up Cybertruck outside Trump Las Vegas hotel
The mystery over why an Army Special Forces soldier detonated a Cybertruck outside the Trump Las Vegas hotel on New Year's Day has only deepened with the final investigative report released by cops Monday.
·New York, United States
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Coverage Details
Total News Sources7
Leaning Left2Leaning Right2Center2Last UpdatedBias Distribution34% Left, 33% Center, 33% Right
Bias Distribution
- 34% of the sources lean Left, 33% of the sources are Center, 33% of the sources lean Right
34% Left
L 34%
C 33%
R 33%
Factuality
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