NTSB CAROL · Event
Event CEN24LA321
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control during the landing, that resulted in a ground loop and a runway excursion. Contributing to the accident was the flight instructor’s delayed remedial action.
Factual narrative
Before the landing, the pilot told the flight instructor that he “wasn’t real comfortable” with the landing, as he had never landed to the particular runway before, which he classified as shorter and narrower. The flight instructor said the landing would be “okay,” and the pilot completed the before landing checklist with the tailwheel unlocked and full flaps applied for the three-point landing. After touchdown, the airplane bounced and immediately after the second touchdown, the airplane ground looped and departed the runway to the left. The right main landing gear collapsed, and the right wing and the empennage impacted the ground. The airplane came to rest upright on a grass field next to the runway and the three occupants were able to egress from the airplane without further incident. The airplane sustained substantial damaged to the fuselage, the right wing, and the empennage. The pilot reported there were no preimpact mechanical malfunctions or failures with the airframe or the engine that would have precluded normal operation. The pilot further reported that a ground loop had occurred “very fast,” and the cause of the accident was “human error.” Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Personnel issues-Action/decision-Action-Delayed action-Instructor/check pilot
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Personnel issues-Psychological-Attention/monitoring-Task monitoring/vigilance-Pilot
- — Personnel issues-Psychological-Attention/monitoring-Task monitoring/vigilance-Instructor/check pilot
Verbatim from NTSB's published report. Source file
NTSB_2024_CEN24LA321.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report
Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World
Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…
Browse the full corpus — academia portal ↗