NTSB CAROL · Event
Event FTW04CA098
Registry · N8755K
FAA Aircraft Registry record.
Make / Model
STINSON 108-1
Year of manufacture
1947 · 57 years old at event
Engine
FRANKLIN 6A4150 SERIES (150 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19560618
ADS-B equipped
Yes — Mode-S AC0BFA
Registrant of record
GRIFFIN JOHN M
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
the pilot's failure to compensate for the gusty wind conditions and maintain control of the airplane while landing.
Factual narrative
On March 27, 2004, at 0940 central standard time, a Stinson 108-1 tail-wheel equipped airplane, N8755K, sustained substantial damage following a loss of control while landing at the Slidell Airport (ASD), near Slidell, Louisiana. The private pilot and his passenger were not injured. The single-engine airplane was registered to and operated by the pilot. Visual meteorological conditions prevailed, and a flight plan was not filed for the 14 Code of Federal Regulations Part 91 personal flight. The flight departed the Paul Pittman Memorial Airport, near Tylertown, Mississippi, approximately 0900, and was destined for ASD. According to an FAA inspector, who was located at the airport at the time of the accident, the airplane touched down on runway 18. Runway 18 is a 4,058 foot long and 100 foot wide asphalt runway. The pilot encountered a left crosswind, subsequently, the airplane ground looped, and flipped over. Examination of the airplane by the inspector revealed the wing spar had fractured. The inspector reported the wind was gusty at the time of the accident. At 0953, the ASD automated surface observing system reported the wind from 140 degrees at 10 knots. During the landing, the pilot encountered a left crosswind. Subsequently, the airplane ground looped and flipped over. A witness reported the wind was gusty at the time of the accident. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2004_FTW04CA098.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- 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.
- 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.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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