GAA19CA586
2019-09-27 · Williams, California, United States · None · 1 aircraft · Status: Completed
Current FAA registration · N3985M
- Make / Model
- PIPER PA-12
- Engine
- LYCOMING 0-235 SERIES (115 hp)
- Seats / Engines
- 3 seats · 1 engine
- Last airworthiness date
- 19560622
- ADS-B equipped
- Yes — Mode-S A4A394
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's over application of power during recovery from a runway excursion, which resulted in a ground loop and nose over.
Factual narrative
The pilot of the tailwheel-equipped airplane reported that, after landing on a gravel road, he looked to the right and unintentionally steered the airplane to the right into a small ditch. He applied power to force the airplane out of the ditch back onto the road, however, the right main landing gear "locked up due to the weeds wrapping around it". The airplane ground looped and nosed over. The airplane sustained substantial damage to both wings and empennage. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The pilot of the tailwheel-equipped airplane reported that, after landing on a gravel road, he looked to the right and unintentionally steered the airplane to the right into a small ditch. He applied power to force the airplane out of the ditch back onto the road, however, the right main landing gear "locked up due to the weeds wrapping around it". The airplane ground looped and nosed over. The airplane sustained substantial damage to both wings and empennage. 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
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Incorrect use/operation - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Environmental issues-Physical environment-Terrain-Sloped/uneven terrain-Effect on operation - C
Verbatim from NTSB's published report. Source file
NTSB_2019_GAA19CA586.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
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- Pilots of America Community ↗
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- 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,…