Before reading or editing anything here, read READ_ME_THIS_WAY.md. Mismatches, dead ends and odd names in this repo are kept on purpose.
CC0 · draft instrument · dye-as-direct-cause link UNRUN
Instrument for one question: what does red-dyed (ag / off-road) diesel do to the SENSOR CHAIN and WETTED MATERIALS of newer, sensor-dense diesel trucks — and what does the automation do with the result. Built so someone with lab or fleet access can run it. Posture: written for working people on the risk-mitigation side; limits are carried as marked terms, not as caveat blocks.
| Input | Status | Scope |
|---|---|---|
| A farm operation buying only pre-1990 trucks for ag diesel use | OBSERVED | one operation's fleet decisions |
| Newer trucks on dyed fuel: deterioration at connections and seals (O-rings, fittings), not molded parts | OBSERVED | same operation |
| Temperature gradients accelerate the deterioration | OBSERVED | same operation |
| Mechanics working from the code reader get the nearest named fault, never "dyed fuel" | OBSERVED | field practice |
| Two coupling channels (below) | DERIVED | from the observations + typical stack |
| Action ladders and combinations in 02 | PROPOSED | typical-stack reasoning, not a named OEM map |
| Dye or its carrier as the specific cause | UNRUN | — |
- SIGNAL / ELECTRICAL — dye and carrier shift what fuel-coupled sensors read (direct: optical or capacitive fuel sensors; indirect: combustion-side sensors).
- MECHANICAL / CHEMICAL — carrier solvents degrade newer wetted materials at seals and connections, with heat as the accelerant. This channel appears in the fault codes wearing an ELECTRICAL MASK (rail pressure, lift-pump pressure, injector balance). Least-doubtful piece of the set, because it rests directly on the observed seal deterioration.
One hidden source couples into several sensors at once. Arbitration logic treats co-occurring faults as INDEPENDENT CORROBORATION, raises confidence and escalates. A correlated cause masquerades as independent confirmation, inverting the safety logic of redundancy: the system commits hardest exactly when it is most wrong. The same structure applies to any automated stack with an unmodelled common cause.
Structural property: there is no "dyed fuel" code. The true cause is absent from the answer set, so the stack resolves to the nearest named fault and commits to that fault's action.
| File | Contents |
|---|---|
01_matrix.md |
11 fuel-coupled sensor paths (row 2 split by WIF sensing type), both channels |
02_triggering_actions.md |
per-sensor action ladders; combinations C1–C5 (PROPOSED) |
03_literature.md |
which literature holds which half; the unrun join |
04_discriminating_checks.md |
D1–D7 checks; proportionality column |
REVIEW_NOTE.md |
marked limits on each file |
- Dye as a direct cause: filed as inert marker — a concluded-inert gap, not a tested null.
- Seal / elastomer degradation: measured, but under alternative/vegetable fuels.
- Common-rail contamination: framed as water / debris / micron tolerance.
Nobody has measured the dye package's carrier against newer wetted materials, on sensor-laden trucks, with the temperature gradient in the loop.
- D1–D6 discriminate a shared fuel-batch cause from independent faults; they do not isolate the dye. D7 confirms presence only.
- Sensor type, control authority and action ladders are unverified per vehicle; inventory the actual truck first.
- Proportionality rankings in 04 are conditional on deviation size and OEM action, neither measured here.
- Nothing here is a run result. No assay, immersion, bench or fleet data.
Matched fuel batch, separated arms:
base fuel | + dye | + carrier/package | contaminated storage × recorded temperature gradient.
Measure named elastomers (connection/seal parts from newer trucks vs pre-1990
equivalents) and the actual installed sensors. Pre-state thresholds.
Fleet side: wire D1 (temporal co-onset with fueling) and D6 (magnitude/proportion)
to telematics.
Population of interest: lawful dyed-fuel use — farm and off-road operation, and shortage-relief waiver periods (where heat, the accelerant, is highest).
Instrument content built by Claude (Anthropic) from the repo owner's field observations; published via Manus; patched per audit 2026-10-02. Committer ≠ author.
CC0 1.0 Universal — see LICENSE.