NTSB CAROL · Event
Event BFO88FA067
Aircraft involved
Probable cause & findings
THE PILOT INADVERTENTLY MISUSED THE FLAPS, BY FAILING TO SET THE FLAPS TO THE PROPER SETTING. THE FLAPS WERE SET FULL DOWN. THIS CAUSED THE AIRCRAFT TO PITCH UP STEEPLY AFTER LIFTOFF. ADDITIONALLY, THE FLIGHT CONTROL LOCK WAS PROBABLY INSTALLED DURING SOME PORTION, IF NOT THE ENTIRE FLIGHT, WHICH PREVENTED FLIGHT CONTROL OPERATION. THE PILOT SUBSEQUENTLY FAILED TO MAINTAIN ADEQUATE FLYING SPEED AND THE AIRCRAFT STALLED. CONTRIBUTING FACTORS ARE THE PILOT'S INATTENTION AND HIS FAILURE TO ADEQUATELY USE THE CHECKLIST.
Factual narrative
THIS WAS THE FIRST FLIGHT AFTER A MAINTENANCE INSPECTION. THE FLAPS WERE LEFT FULL DOWN AFTER A POST-INSPECTION BY COMPANY MECHANICS, BEFORE THE FLIGHT. WITNESSES STATED THE FLAPS WERE DOWN WHEN THE AIRCRAFT TAXIED TO TAKEOFF ON RWY 19L. WITNESSES STATED THE AIRCRAFT CLIMBED STEEPLY AFTER IT LIFTED OFF WITH A PITCH ATTITUDE UP TO 60 DEGREES. ACCORDING TO WITNESSES, THE AIRCRAFT CLIMBED TO 200 TO 500 FT AGL, BEFORE IT STALLED AND DESCENDED NOSE DOWN IN A LEFT TURN. THE AIRCRAFT CRASHED ABOUT 300 FT LEFT OF AND 2000 FT DOWN THE RWY. EXAMINATION OF THE AIRCRAFT REVEALED THE FLAPS WERE FULL DOWN. THE SCROLL TYPE CHECKLIST WAS POSITIONED AT THE BEGINNING OF THE TAKEOFF CHECK. THE FLIGHT MANUAL RECOMMENDS A 10 DEGREE FLAP SETTING FOR TAKEOFF AND PROHIBITS FLAP FULL DOWN TAKEOFF. REVIEW OF PREVIOUS DHC-6 ACCIDENTS INVOLVING FLAP FULL DOWN RESULTED IN A STEEP TAKEOFF CLIMB AND EXCESSIVE PITCH ATTITUDE FOLLOWED BY A STALL. THE POSITION OF THE CONTROL LOCK SUGGESTS IT MAY HAVE BEEN IN THE LOCKED POSITION DRG THE TKOF. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1988_BFO88FA067.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 (stall, maintenance). 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 2023 · Conference paper
The Value of Strong Partnerships to Build a Successful Aviation Maintenance Career Pathway Program for Transitioning Military Service Members
The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines.
- Embry-Riddle Scholarly Commons 2026 · Journal article (IJAAA)
From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- NASA NTRS 2026 · Conference Paper
Computational Analysis of Steady State Aerodynamics of Transonic Truss-Braced Wing Configuration in Deep Stall
This study presents a computational investigation of steady state aerodynamics of the Subsonic Ultra-Green Aircraft Research (SUGAR) Transonic Truss-Braced Wing (TTBW) configuration over a wide range …
- Semantic Scholar 2025 · Article (Applied Sciences)
Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
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