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NTSB Report: Military GPS Jamming Was Active at Time of Medical Plane Crash in New Mexico
Wired said White Sands Missile Range testing may have jammed GPS signals and helped cause the May 14 crash that killed all on board.
- On May 14, 2026, a medical transport aircraft crashed into the Capitan Mountains near Ruidoso, New Mexico, killing all four people aboard, according to a preliminary report from the National Transportation Safety Board citing GPS navigation failures.
- Military GPS-jamming operations were active across New Mexico at the time of the flight, causing a navigation outage as pilots attempted to land at Sierra Blanca Regional Airport, the NTSB reported.
- The US Aircraft Owners and Pilots Association stated that while the FAA issued a notice, "it is not clear whether the flight crew was aware of the GPS jamming underway in the region" before departing Roswell Air Center.
- Political operative Christopher Hale laid the blame on Defense Secretary Pete Hegseth, accusing him of responsibility for "killing everyone on board" the aircraft through military testing policies.
- Investigators will release a final report next year, while experts warn that increased GPS jamming for modern warfare poses significant safety risks for commercial aviation as reported interference incidents continue to rise.
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A recent plane crash in the US resulted in the deaths of several people. Various reports now claim that GPS jamming was used during a military exercise. This is being cited as the cause of the crash. Let's explore the full story and how technology can also lead to deaths.
Civilian plane flew into mountain and everyone died because US military was testing GPS jammers
In May, a civilian plane in the US state of New Mexico crashed into a mountain, killing everyone onboard. Now, a report claims that this crash happened because the US military was testing new GPS jammers.
·Noida, India
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Coverage Details
Total News Sources15
Leaning Left6Leaning Right3Center2Last UpdatedBias Distribution55% Left
Bias Distribution
- 55% of the sources lean Left
55% Left
L 55%
C 18%
R 27%
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