What this take shows. Cascade dynamics — the propagation of a single triggering event through a relational network gated by each agent's gap. When a trigger lands on agent i, i rolls reappraisal with probability scaling in ξ × μ. On failure, the grievance increment is large and may emit secondary triggers along outgoing edges to allies (third-party offense). On success, the cascade dies in i.
Particles flow along edges as grievance propagates: terracotta = passed through and amplified, sage = absorbed via reappraisal. Use the ensemble button to see the cascade-size distribution. As mean μ rises, the distribution should compress; at low μ, expect a heavy right tail.