NYC94LA116
1994-07-11 · BLAIRSTOWN, New Jersey, United States · None · 1 aircraft · Status: Completed
Airport 1N7
Current FAA registration · N2899G
- Make / Model
- CHAMPION 7GCAA
- Year of manufacture
- 1968 · 26 years old at event
- Engine
- LYCOMING 0-320 SERIES (180 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 19680429
- ADS-B equipped
- Yes — Mode-S A2F304
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
THE PILOT'S FAILURE TO MAINTAIN DIRECTIONAL CONTROL DURING TAKEOFF, RESULTING IN A LOSS OF CONTROL AND COLLISION WITH THE TERRAIN.
Factual narrative
On Monday, July 11, 1994, at 1400 eastern daylight time, a Champion 7GCAA, N2899G, registered to Darren A. McKeever and piloted by Allen V. Molner, sustained substantial damage during an attempted takeoff at the Blairstown Airport, Blairstown, New Jersey. The pilot and passenger were not injured. Visual meteorological conditions prevailed, and no flight plan was filed. The flight was being conducted under 14 CFR Part 91. The airplane was departing on runway 07. The pilot stated: ...when I reached liftoff speed-lifted off and the aircraft turned to the right. I could not seem to correct it. The plane ended up on the grass-hit one parked glider and ended up on top of another. Mr. Morgan Brown, a Federal Aviation Administration Airwothiness Inspector, examined the airplane. In a report he stated: Inspected N2899G and found that all flight controls were intact and functioned normally. The wind was reported as light and variable. THE PILOT WAS DEPARTING RUNWAY 07. HE STATED THAT WHEN THE AIRPLANE LIFTED OFF, 'THE AIRPLANE TURNED RIGHT. I COULD NOT...CORRECT IT.' THE WING RIGHT IMPACTED THE TERRAIN, AND THE AIRPLANE STRUCK GLIDERS PARKED ON THE RAMP. THE WIND WAS REPORTED AS LIGHT AND VARIABLE. THE FAA EXAMINED THE AIRPLANE AND FOUND NO CONTROL MALFUNCTIONS. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1994_NYC94LA116.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
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.