Calibration Compare simulations with real outcomes.
Calibration closes the loop between synthetic prediction and observed reality — tracking where models hold, where they drift, and what assumptions need revision.
- Layer
- Validation & feedback
- Role
- Outcome comparison & recalibration
- Inputs
- Simulation outputs · real-world results
- Outputs
- Drift signals · assumption updates
A simulation that never meets reality is a hypothesis. Calibration is where Aetherya finds out — comparing what the model predicted with what actually happened, and revising on the evidence.
Predict, observe, revise. In that order, on the record.
Predictions are kept on the record.
What the model expected is written down before the outcome is known — across segments, scenarios, and time horizons — so a comparison later is a comparison, not a reconstruction.
Reality is allowed to disagree.
Post-rollout metrics, research findings, and operational data are read back against the predictions that preceded them, including the ones that did not hold.
Disagreement changes the model.
Discrepancies feed back into persona parameters, behavioral constraints, and population assumptions, with the revision and its reason left visible.
Four moving parts. One feedback loop between model and world.
Earned over time,not asserted up front.
Calibration is how Aetherya earns trust. Simulations that never meet reality are hypotheses; calibrated models are evidence — presented with scope, version, methodology, and known limitations attached.
Trust & Governance