NTSB CAROL · Event
Event GAA17CA166
Registry · N309PA
FAA Aircraft Registry record.
Make / Model
PIPER PA-28-181
Year of manufacture
2002 · 15 years old at event
Engine
LYCOMING O-360 SERIES (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20020406
ADS-B equipped
Yes — Mode-S A34207
Registrant of record
BIRD ACQUISITION LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The flight instructor’s incorrect control inputs while taking off with a known quartering tailwind, which resulted in a loss of directional control and runway excursion.
Factual narrative
The flight instructor reported that during an introduction to soft field takeoffs lesson, upon switching to the tower frequency, he and his student received the updated wind and altimeter setting. He noted that the wind was a "rear quartering crosswind", and reported "I have done these before so thought I would be fine, though in retrospect [it's] been a long time since I have done [a takeoff] with similar conditions". During the takeoff, he held the yoke back with right aileron, and as the airplane began to lift off he reduced back pressure on the yoke. After becoming airborne, the airplane drifted to the right and then settled back on the runway. He added more right aileron, rudder, and more "back elevator" which reduced his forward visibility. The airplane became airborne again, about 45 knots, and drifted to the right of the runway centerline. He reduced power, landed, and came to a stop off the right side of the runway. The airplane was taxied back to parking with no further incident. A post-accident examination revealed the airplane sustained substantial damage to the rear carry through wing spar. The chief flight instructor reported that there were no pre-accident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The flight instructor reported that about the time of the accident the wind was 300° at 10 knots. The airplane was departing on runway 7R. The flight instructor reported that, during an introduction to soft-field takeoffs lesson, upon switching to the tower frequency, he and his student received the updated wind and altimeter setting. He noted that the wind was a "rear quartering crosswind" and that "I have done these before so thought I would be fine, though in retrospect [it's] been a long time since I have done [a takeoff] with similar conditions." During the takeoff, he held the yoke back with right aileron, and as the airplane began to lift off, he reduced back pressure on the yoke. After becoming airborne, the airplane drifted to the right and then settled back on the runway. He added more right aileron, rudder, and "back elevator," which reduced his forward visibility. The airplane became airborne again about 45 knots and drifted to the right of the runway centerline. He reduced power, landed, and came to a stop off the right side of the runway. The airplane was taxied back to parking with no further incident. A postaccident examination revealed that the airplane sustained substantial damage to the rear carry-through wing spar. The chief flight instructor reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The flight instructor reported that, about the time of the accident, the wind was from 300° at 10 knots. The airplane was departing from runway 7R. 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-Crosswind correction-Not attained/maintained - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Instructor/check pilot - C
- — Environmental issues-Conditions/weather/phenomena-Wind-Tailwind-Effect on operation
- — Environmental issues-Physical environment-Object/animal/substance-Debris/dirt/foreign object-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2017_GAA17CA166.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 ↗