Consensus simulator
Configure the rubric, validator classes, rounds, and thresholds exactly as a project creator would, then cast validator votes and watch each dimension resolve into a project-level verdict. Booted with the example security-audit project — change anything.
Validator classes
Classes are personas defined once — human or AI, each with its own vote weight and (optional) collateral. Which classes review (and how many) is decided per round below, not here. Collateral is optional — most projects rely on vetting, rewards, and reputation.
Escalation ladder
Round 1 is the base review. Each escalation step below is run in order, but only while the datapoint stays unverified — any required dimension below its strength threshold. When a step runs, its validators are added and every dimension is re-scored.
Run only if the datapoint still isn't verified after round 1
Rubric dimensions
Each dimension is scored independently and has its own strength threshold. Its group signal is a weighted median of the votes (snapped to the nearest scale point) — robust to a single outlier — and strength is the share of weighted votes clustered near that value. If any required dimension misses its threshold, the whole datapoint isn't verified and the next escalation step is added.
Project outcome
Every required dimension reached the strength threshold.
Collateral outcome
A validator far from the consensus forfeits a tier of their collateral — the further out, the bigger the tier. Land close to the group and it all comes back.
| Validator | Gap | Penalty | Returned |
|---|---|---|---|
| Junior 1 | 0 | 0% | — |
| Junior 2 | 0 | 0% | — |
| Junior 3 | 0 | 0% | — |
New to this? Read How consensus works for the plain-English version.