🐟 Mirror Fish — Scenario Simulator

Ten thousand parallel futures run in silent water. The ones that surface are the ones worth living.

What Mirror Fish is

Mirror Fish is a Monte-Carlo scenario simulator developed during the campaign phase of this archive. It takes a decision or policy proposal, generates thousands of parallel variants across a parameter space, scores each on a chosen objective (outcome, cost, fairness, public-acceptance, resilience), and returns the distributional truth of what the decision actually does.

Why it exists

Human decision-makers under adversarial pressure — which is the condition most judicial, ministerial, and regulatory actors operate in — select from a narrow band of options shaped by their local incentives. Mirror Fish forces the full option space into view. It cannot be captured by the institutional pressures that capture the individuals.

Published use cases

DecisionMirror Fish finding
Campaign strategy for the Feb 2026 public-announcement phaseSelected the Italian-press-outreach / 6-minute-fax / Canadian People's Trust / referral-payout combination as the top-scoring viral-with-funding path
Allocation of the $17.9T pool (illustrative)Identified distribution architectures that produced higher long-term outcome scores than lump-sum-to-few models, with statistically significant separation
Mirror-mirror (meta)Scored Mirror Fish's own public-trust rating as a function of whether it is run publicly or privately — public beats private at every horizon

How the public uses it

Why this is monetizable

Mirror Fish can be licensed to:

Proceeds flow back into the reward pool and the allocation trust. Every use of Mirror Fish to think better is a use that funds the reform.

Run Mirror Fish (beta — coming soon) ← Allocation