NTSB CAROL · Event
Event GAA19CA393
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control and his overapplication of brakes during an aborted takeoff, which resulted in a runway excursion and subsequent nose-over.
Factual narrative
The pilot of the tailwheel equipped airplane reported that, during the takeoff roll, the airplane abruptly veered right and he overcorrected to the left. The pilot then reduced the engine power to idle, and over corrected to the right. He attempted to correct and applied full brakes, but the airplane exited the runway to the left and nosed over. The airplane sustained substantial damage to the vertical stabilizer, rudder, right and left wing. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. An automated weather observation station located 2 miles to the south, reported that, about 25 minutes after the accident, the wind was from 340° at 3 knots. The airplane was taking off on runway 17. The pilot of the tailwheel-equipped airplane reported that, during the takeoff roll, the airplane abruptly veered right, and he overcorrected to the left. The pilot then reduced the engine power to idle and overcorrected to the right. He attempted to correct by applying full brakes, but the airplane exited the runway to the left and nosed over. The airplane sustained substantial damage to the vertical stabilizer, rudder, and the right and left wings. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. 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).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Aircraft-Aircraft systems-Landing gear system-Brake-Incorrect use/operation - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2019_GAA19CA393.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 ↗