NERVA · Decision Receipt
LOCK BRAKE OVR SIG
·
SES A7C2-F9B4 · NERVA-BLOCH v11
a7c2f9b41d83
2026-06-04 · 18:42:00 UTC
<DEC> What was scored
Buy a new road bike for $4,200 — existing bike serviceable; thesis is improved training
Stakes
$4,200
Horizon
Open
Reversibility
Partial · resale
Domain
Personal
Verdict

WAIT

C below τ · brake disengaged · thesis names no falsifier
Confidence vs. threshold C  0.16  ·  τ  0.69  ·  Δ  −0.53
C — confidence
0.1580
τ — threshold
0.6920
S — entropy
0.9810
One-way brake
DISENGAGED
τ x z
|r_eff| = 0.158
Reasoning The strongest axis is alignment, and even it sits at 0.20 — your $4,200 stake is well above the weight of evidence presented for the thesis. The weakest is falsifiability: you have not named a single observation that would tell you, three months out, that the bike failed its claim. The thesis is behavioral — this will get me back into serious training — but the evidence offered is desire duration (six months of wanting) and a value-anchor (the wheels alone are worth $800). Neither bears on whether ownership causes the behavior. Equipment-as-motivation is a documented anti-pattern; you are asking a frame to do the work of a habit. Re-run with a real falsifier and a real catalyst, or resize the question: what is the cheapest experiment that tests whether you actually train more?
<PRV> Provenance · per-axis confidence
evidence0.150w 0.30
differentiation0.200w 0.25
falsifiability0.100w 0.20
timing0.150w 0.15
alignment0.200w 0.10
C = Σ wᵢ·cᵢ = 0.30(0.15)+0.25(0.20)+0.20(0.10)+0.15(0.15)+0.10(0.20) = 0.158
τ = τ₀ + α·S + β·σ_stakes + γ·irr = 0.50 + 0.15(0.98) + 0.10(0.45) + 0.05(0) = 0.692
r_eff = ( +0.024, +0.062, +0.157 )  ·  ρ = ½ ( I + r_eff·σ )  ·  S(ρ) = 0.981
Instrument cluster · audit NERVA-BLOCH v11 · live readout
<QLT>Quality metrics0–1 · kernel
PURITY0.16
ENTROPY0.98
MARGIN0.23
BRAKE GAP0.20
REVERSIBLE0.55
HOMOGENEITY0.86
<MAP>Phase mapC × clarity
COMMIT HOLD WAIT CONSULT clarity↑ C →
locus (C, 1−S)WAIT · low-C / high-S
<FAC>Factorssigned · cᵢ − 0.5
EVIDENCE−0.35
DIFFERENTN−0.30
FALSIFIER−0.40
TIMING−0.35
ALIGNMENT−0.30
<SEN>Sensitivity+0.1 · what flips
EVIDENCE+0.030— stable
DIFFERENTN+0.025— stable
FALSIFIER+0.020— stable
TIMING+0.015— stable
ALIGNMENT+0.010— stable
No single +0.1 perturbation clears τ (Δ = −0.53). Verdict robust — a flip needs evidence and falsifier together.
<LOG>Agent log8 steps · 94ms
Iparsescenario tokens=41 model=nerva-bloch-v11
Iextractc_e=0.15 c_d=0.20 c_f=0.10 c_t=0.15 c_a=0.20
Ibrakereversibility=0.55 → disarmed
Iblochr=( 0.024, 0.062, 0.157 )
IcomputeC=0.158 τ=0.692 S(ρ)=0.981
IverdictWAIT · Δ=−0.534
Iauditcomponents_consistent=true
Irouteledger-append ok
<RCT> Receipt — for your ledger
Action taken
Outcome (at 6-week reread)
Notes
a7c2f9b41d83 Starpoint LLC · NERVA v11 · patent pending
FRAME 000118· C 0.158· τ 0.692· S 0.981· Δ −0.534· BRAKE DISENGAGED· STATE WAIT· ρ ½(I+r·σ)· r (0.024, 0.062, 0.157)· HASH a7c2f9b41d83