Decision math
Inspect probability and risk-adjusted expected value.
Decision evaluation
Evaluate how a proposal behaves before granting it broader execution authority.
Master Lab brings break-even math, posterior confidence, risk-adjusted value, and stopping conditions into one evaluation surface.
Operators can understand why a proposal clears—or fails—a decision gate.
Capability, evidence, and authority stay visible from the first signal through the measured outcome.
Inspect probability and risk-adjusted expected value.
See break-even, spend, and authority gates.
Make the conditions that stop or reverse an action explicit.
Click identifiers, timing, commerce facts, and uncertainty are reconciled instead of silently forced into certainty.
P(source | order evidence) ∝ P(evidence | source) × P(source)The Anti-Algorithm measures platform signals against your economics before capital receives authority.
P(H | E) = P(E | H) × P(H) ÷ P(E)Evidence updates confidence continuously instead of locking the system to yesterday’s assumption.
Brier = (1/N) Σ(pᵢ − oᵢ)²Forecasts are scored against outcomes so success and failure both improve the next decision.