NTSB CAROL · Event
Event ATL95LA084
Aircraft involved
Probable cause & findings
THE PILOT'S INADEQUATE PREFLIGHT, WHICH RESULTED IN A TAKEOFF WITH AN UNSECURED CANOPY, AND HIS FAILURE TO MAINTAIN AIRCRAFT CONTROL DURING THE INITIAL CLIMB.
Factual narrative
On April 16, 1995, at 0730 central daylight time, N418EZ, a Swant Varieze, collided with terrain and burned after an in flight loss of control at Tullahoma, Tennessee. The aircraft was destroyed. The private pilot was not injured. The aircraft was operated under the provisions of 14 CFR Part 91 by the pilot. Visual meteorological conditions existed at the time, and no flight plan was filed for the local, personal flight. The flight was originating at the time of the accident. The pilot reported the following: He performed his usual preflight procedures, however, he "apparently failed to secure (the) canopy." The takeoff was normal until the aircraft reached about 30 to 40 feet above ground level. At that point, the canopy "went up with great speed." The aircraft pitched up, and rolled to the right. He countered with left rudder and stick, pushed the nose down, and reached for the canopy. He stated that the aircraft was very hard to control. He retarded the throttle, and brought the canopy down, but he had to hold it closed. He lost airspeed and altitude, and was not able to recover. The aircraft landed flat, but on soft, rough terrain. The aircraft turned to the left, then flipped over. He released his seat belt and shoulder harness, and egressed the airplane. THE PRIVATE PILOT REPORTED THAT HIS PREFLIGHT PROCEDURES WERE NORMAL, EXCEPT THAT HE APPARENTLY FORGOT TO SECURE THE CANOPY. AT ABOUT 30 TO 40 FEET AGL, DURING THE INITIAL CLIMB, THE CANOPY OPENED RAPIDLY. HE RETARDED THE THROTTLE, AND GRABBED THE CANOPY. HE COULD CLOSE THE CANOPY, BUT COULD NOT MANIPULATE THE LATCHES. AIRSPEED AND ALTITUDE WERE LOST, AND THE AIRCRAFT IMPACTED THE GROUND IN A FLAT ATTITUDE. THE AIRCRAFT CAME TO REST INVERTED, AND THE PILOT EGRESSED THE AIRPLANE. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1995_ATL95LA084.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
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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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