ARBITRATE

Compare the futures before the decision becomes irreversible.

Arbitrating is not about picking the best option in the abstract: it is about understanding what each option produces, for whom, and on what horizon. This is the formulation closest to the core of Decision Intelligence.

  1. 01OPTION A
  2. 02OPTION B
  3. 03OPTION C
  4. 04POPULATIONS
  5. 05TRAJECTORIES
  6. 06CONSEQUENCES
  7. 07ARBITRATION
An executive meeting at the moment of decision
2 executed Case Studies involve this decision type.

02 — WHAT THIS DECISION ACTUALLY CHANGES

What actually moves.

An arbitration rarely involves a single population: it moves a cost from one group to another.

Two options can produce the same average result and radically different trajectories.

What separates the options often becomes visible only after the usual observation window.

03 — WHAT MUST BE SIMULATED

What must be simulated.

  • Each option played on the same population, under the same conditions
  • The distribution of gains and costs across populations
  • The degree of reversibility of each trajectory
  • The consequences visible only in the medium term

04 — POPULATIONS CONCERNED

Populations concerned.

  • Populations that benefit from each option
  • Populations that bear its cost
  • Internal stakeholders in charge of execution
  • Observing audiences, who judge the coherence of the decision

05 — MECHANISMS TO OBSERVE

Mechanisms to observe.

  • Strict comparability of the options
  • Distribution of effects across populations
  • Reversibility and cost of turning back
  • Threshold effects and late tipping points

06 — EXAMPLE QUESTIONS TO TEST

Questions to test.

  • “What does each option produce, and for whom?”
  • “Which option can still be recovered if it fails?”
  • “On what horizon do the options diverge?”

These formulations are examples of testable decisions. They do not report on any executed simulation.

08 — HOW IMAGINE ALL THE PEOPLE SIMULATES

The method applied to this decision.

  • A single population, held constant across all options.
  • Parallel execution of each option, with no favoured hypothesis.
  • Comparative reading of the trajectories, not only of average results.
  • Reporting the gaps between populations and the points of no return.

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