Disrupting Nash: A Triadic Temporal Model of Revolutionary Emergence
The Core Problem
Nash Equilibrium predicts that under severe oppression—where rebellion means death—no rational actor will rebel.
Yet history consistently violates this prediction:
Warsaw Ghetto
Tiananmen Square
Arab Spring
Why?
Because Nash assumes:
Fixed preferences
Isolated agents
Rational optimization
It cannot account for the transformation of identity under shared suffering.
The Triadic Temporal Framework
Human volition unfolds across three temporal fields that Nash excludes:
| Temporal Field | Description | Symbol |
|---|---|---|
| t₁ – Impulse Time | Somatic activation, pre-rational instinct, felt urgency | |
| t₂ – Relational Time | Trust formation, shared recognition, conspiratorial networks | |
| t₃ – Mythic Time | Sacred values, archetypal identity, ancestral memory |
These are not separate moments, but interwoven dimensions of time that shape action.
Volitional Transformation Model
Core Equation
Vi(t)=α⋅Ii(t1)+β⋅Ri(t2)+γ⋅Di(t3)−CiV_i(t) = \alpha \cdot I_i(t_1) + \beta \cdot R_i(t_2) + \gamma \cdot D_i(t_3) - C_iVi(t)=α⋅Ii(t1)+β⋅Ri(t2)+γ⋅Di(t3)−Ci
Where:
- Vi(t)V_i(t)Vi(t) = Volitional potential for transformative action
- Ii(t1),Ri(t2),Di(t3)I_i(t_1), R_i(t_2), D_i(t_3)Ii(t1),Ri(t2),Di(t3) = Strengths of impulse, relational, and mythic fields
- α,β,γ\alpha, \beta, \gammaα,β,γ = Attunement weights (context-dependent)
- CiC_iCi = Cost of rebellion (e.g., punishment, death)
Threshold Condition
Vi(t)>0V_i(t) > 0Vi(t)>0
If this condition is met, rational compliance breaks—transformation becomes possible.
Population Dynamics
x˙=x(1−x)(Vˉ−C)\dot{x} = x(1 - x)(\bar{V} - C)x˙=x(1−x)(Vˉ−C)
- xxx = Proportion of population in resistance
- Vˉ\bar{V}Vˉ = Average volitional potential
- CCC = Average cost of rebellion
A modified logistic model: not driven by replication, but by temporal convergence.
How This Disrupts Nash
Dynamic Preferences
Nash assumes static utility.
This model tracks mutating preference structures:
t₁: “I want safety” → “I cannot bear this”
t₂: “I am alone” → “We are together”
t₃: “Death is worst” → “Dishonor is worse than death”
Network Effects
Nash prohibits communication.
But t₂ enables whisper-networks, transforming the game structure itself.
Phase Transitions
Nash assumes linearity.
The triadic model reveals threshold-driven ruptures:
Low suffering: Equilibrium holds
Moderate suffering: Trust builds (t₂)
High suffering: Myth ignites (t₃) → Revolution
Emergent Identity
New “we” forms under pressure:
- Individual actors dissolve into resistance mythos
- Suffering becomes glue for collective identity
- Sacred commitments override fear-based logic
Mathematical Implications
Revolution follows criticality dynamics:
Prevolution∝exp(β[∑iVi(t)−N⋅Cthreshold])P_{\text{revolution}} \propto \exp\left(\beta \left[ \sum_i V_i(t) - N \cdot C_{\text{threshold}} \right] \right)Prevolution∝exp(β[i∑Vi(t)−N⋅Cthreshold])
A small increase in volitional potential can trigger phase transitions—from silence to uprising.
The Central Insight
Nash describes mechanical systems—predictable, closed, lifeless.
The triadic model reveals living systems—adaptive, emergent, relational.
When
impulse (t₁),
relation (t₂), and
myth (t₃) converge, they create a field intensity that exceeds cost and shatters equilibrium.
- The prisoner’s dilemma dissolves when prisoners become comrades
- The oppression game ends when subjects become revolutionaries
- Rationality gives way to meta-rational commitment to life, dignity, and transformation
Conclusion
Nash Equilibrium functions only when identity is fixed.
But identity under oppression is unstable, recursive, and mythically charged.
The triadic temporal model reveals how suffering becomes soil for:
Volitional emergence
Sacred resistance
Non-linear transformation
Revolution is not a strategy within the game—
It is the moment the game itself mutates beyond Nash’s mathematical reach.