ANTICIPATE

Simulate what can happen after the decision — not only the day-one reaction.

The initial reaction is weak information. What matters is how it deforms: memory of previous episodes, signal events, cascades, threshold effects and tipping points.

  1. 01T0
  2. 02T1
  3. 03T2
  4. 04POSSIBLE TIPPING POINT
  5. 05FUTURE
A neighbourhood photographed in its everyday use
20 executed Case Studies involve this decision type.

02 — WHAT THIS DECISION ACTUALLY CHANGES

What actually moves.

Behaviours recompose over time: initial support erodes, initial opposition becomes ordinary.

An external event can reactivate an old memory and reshape an already stabilised trajectory.

Tipping points are rarely gradual: they occur when a threshold is crossed in a specific population.

03 — WHAT MUST BE SIMULATED

What must be simulated.

  • How adoption or opposition evolves over time
  • The signal events capable of redirecting the trajectory
  • Threshold effects and the populations that trigger them
  • The renewal of the population itself over the chosen horizon

04 — POPULATIONS CONCERNED

Populations concerned.

  • Populations engaged early, whose attention declines
  • Wait-and-see populations, decisive in the medium term
  • Populations carrying the memory of an earlier conflict
  • New entrants appearing along the simulated horizon

05 — MECHANISMS TO OBSERVE

Mechanisms to observe.

  • Gradual adoption and erosion
  • Signal events and cascades
  • Memory of previous episodes
  • Change in the composition of the population
  • Threshold effects and tipping points

06 — EXAMPLE QUESTIONS TO TEST

Questions to test.

  • “Where are we in two years if nothing changes?”
  • “Which event can tip the trajectory?”
  • “Which population crosses the threshold first?”

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.

  • Defining an explicit horizon, consistent with the decision being tested.
  • Projecting the population over that horizon, including its renewal.
  • Injecting signal events and observing the cascades.
  • Identifying tipping points and alternative trajectories.

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