ANC13CA043
2013-05-05 · Soldotna, Alaska, United States · None · 1 aircraft · Status: Completed
Airport PASX
Aircraft involved
Probable cause & findings
The flight instructor's inadequate supervision of the student pilot during takeoff, which resulted in a loss of control.
Factual narrative
The flight instructor was providing primary flight instruction to a student pilot in a tailwheel-equipped airplane. The instructor reported that as the student pilot was departing from a 5,000 foot-long, dry paved runway, the airplane drifted to the right just after becoming airborne. Unable to correct the drift, the airplane continued off the right side of the runway, and over an area of grass-covered terrain. The instructor said that the student pilot then closed the engine throttle and switched the engine magnetos to the off position, and the airplane subsequently landed hard on the right main landing gear wheel. The airplane sustained substantial damage to the fuselage. A postaccident examination of the airplane did not reveal any preaccident mechanical anomalies that would have precluded normal operations. The flight instructor was providing primary flight instruction to a student pilot in a tailwheel-equipped airplane. The instructor reported that when the student pilot departed from the 5,000-foot-long, dry, paved runway, the airplane drifted to the right just after becoming airborne. Unable to correct the drift, the airplane continued off the right side of the runway, and over an area of grass-covered terrain. The instructor said that the student pilot then closed the engine throttle and switched the engine magnetos to the off position, and the airplane subsequently landed hard on the right main landing gear wheel. The airplane sustained substantial damage to the fuselage. A postaccident examination of the airplane did not reveal any preaccident mechanical anomalies that would have precluded normal operations. 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-Not attained/maintained - C
- C Personnel issues-Psychological-Attention/monitoring-Monitoring other person-Instructor/check pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2013_ANC13CA043.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
Matched on aircraft type or causal vocabulary (loss of control). All research papers
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER) A Scoping Review of Aviation Loss of Control Inflight Research
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- SKYbrary (Eurocontrol) 2024 · SKYbrary article Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- Semantic Scholar 2024 · Article (International Conference on Networking and Services) Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety
In Urban Air Mobility (UAM), maintaining a minimum separation between aircraft is a safety requirement, which becomes challenging amidst congested air traffic and off-nominal conditions, such as Loss …
- NTSB Aircraft Accident Reports 2022 · Accident report Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation) ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.