ANC23LA029
2023-04-02 · Wasilla, Alaska, United States · None · 1 aircraft · Status: Completed
Airport PAWS
Current FAA registration · N4464B
- Make / Model
- CESSNA 170
- Year of manufacture
- 1955 · 68 years old at event
- Engine
- CONT MOTOR 0-300 SER (145 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 19560714
- ADS-B equipped
- Yes — Mode-S A563CD
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintained directional control and the instructor pilot's inadequate supervision, which resulted in a loss of control during takeoff.
Factual narrative
The flight instructor reported that he was providing flight instruction to the pilot who had recently purchased the tailwheel-equipped airplane, and during takeoff, a crosswind pushed the airplane to the left. He attempted to correct for the left drift to no avail. Subsequently, the airplane continued to the left, exited the runway, impacted a snowbank, and nosed over, resulting in substantial damage to the wings. The flight instructor reported that there were no preaccident mechanical malfunctions or anomalies that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Heading/course-Not attained/maintained
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Personnel issues-Action/decision-Action-Lack of action-Instructor/check pilot
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2023_ANC23LA029.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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- Aviation Herald Aviation press ↗
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- Pilots of America Community ↗
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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
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- 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.