WARGAME — STRATEGIC SCENARIO

Geopolitical Escalation: Apple Inc

Document Classification: CONFIDENTIAL — Client Deliverable
Product Tier: F3 — Strategic Intelligence (W04 Wargaming Engine)
Report ID: WG-2026-08-GEOP-001
Date: August 25, 2026
Target: Apple Inc (corporation)
Engine: WorldDuplicate 1000-branch Monte Carlo v3.1.0

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EXECUTIVE SUMMARY

Apple Inc faces a Geopolitical Escalation scenario with a baseline Forreast Score of 50/100. A 500-branch Monte Carlo simulation converges to a mean of 49.9 (σ 15.6), with P(critical) = 3.2% and P(high) = 23.2%.

Convergence analysis (Gelman-Rubin R-hat = 0.999 across 4 chains) confirms the distribution is CONVERGED — stable. 5th-percentile tail risk: 25.6. System phase: fluctuation (near equilibrium — moderate fluctuation).

Red/Blue/Green adversarial debate verdict: HEDGE RECOMMENDED (net risk 55.0). Consensus: HEDGE RECOMMENDED. Net risk after Red-Blue-Green debate: 55.0. Red impact (12.6) vs Blue mitigation (7.6) → Red dominates. Green observes.

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SCENARIO PARAMETERS

Parameter	Value	Source
Scenario	Geopolitical Escalation	Forreast scenario library
Branches	500	WorldDuplicate Monte Carlo
Base score	50/100	Forreast Score (live)
Volatility	15.0pt	signal-derived
Signal shock	0.0pt	live signals
P(critical)	3.2%	Monte Carlo
Tail risk (P5)	25.6	Monte Carlo
R-hat	0.999 (converged)	4-chain Gelman-Rubin
Elapsed	0.328s	engine timing

Factor scores (from real signal mix where present):

Factor	Score (0-100)
sovereign_risk	76.0
currency_volatility	75.0
diplomatic_standing	69.0
trade_corridor_exposure	42.0

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MONTE CARLO DISTRIBUTION

Statistic	Value
Mean	49.93
Median	49.38
Std	15.65
Min / Max	5.8 / 97.9
P5 / P25 / P75 / P95	25.6 / 40.3 / 60.1 / 77.6
P(critical ≥81)	3.2%
P(high ≥61)	23.2%
P(significant ≥41)	73.8%
Tail risk (P5)	25.6

Convergence: R-hat = 0.9986 across 4 chains × 200 branches. CONVERGED — results are stable.

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RED / BLUE / GREEN ADVERSARIAL DEBATE

Red Team (Adversary)

Attack vector: trade_blockade (exploits `trade_corridor_exposure`, impact 12.6pt)

Red Team assesses that Apple Inc's 'trade_corridor_exposure' factor (score: 42) is the critical vulnerability. Attack vector: trade_blockade. Projected impact: 12.6 point degradation. Monte Carlo shows P(critical) = 3.2%, tail risk at 5th percentile = 25.6. Recommend aggressive exploitation of this axis.

Blue Team (Client Defense)

Intervention: supply_chain_decoupling (mitigation 7.6pt)

Blue Team counters: apply 'supply_chain_decoupling' (effect: -0.18) to harden 'trade_corridor_exposure'. Projected mitigation: 7.6 points. Defense capability: diplomatic_outreach. Post-intervention Monte Carlo mean shifts from 49.9 to est. 31.9. Recommend immediate pre-positioning.

Green Team (Neutral / Exogenous)

Exogenous event: alliance_support (intervention probability 31%)

Green Team evaluates: exogenous event 'alliance_support' has 31% probability of materializing. No immediate green intervention. Balance assessment: 49.9 mean with 15.6 std. System near equilibrium.

Move-by-Move (3 turns)

Turn	Red action	Blue response	Green reaction	ΔScore
1	trade_blockade	supply_decoupling	alliance_support	+5.0
2	tariff_escalation	supply_decoupling	neutral_mediation	+4.6
3	diplomatic_isolation	supply_decoupling	alliance_support	-1.3

Consensus: HEDGE RECOMMENDED

Consensus: HEDGE RECOMMENDED. Net risk after Red-Blue-Green debate: 55.0. Red impact (12.6) vs Blue mitigation (7.6) → Red dominates. Green observes.

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SENSITIVITY ANALYSIS (TORNADO)

Variable	Swing (pts)	Low → High
base_score	39.7	30 → 70 (29.8 → 69.4)
signal_shock	10.6	-5.0 → 5.0 (43.9 → 54.6)
volatility	0.4	22.5 → 7.5 (49.3 → 49.7)

Most sensitive variable: base_score (swing: 39.7 points). Model stability: UNSTABLE — high parameter sensitivity.

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SYSTEM DYNAMICS (STOCK/FLOW)

Final risk: 29.5 (initial 50) over 100 steps

Signals detected: 10 | Interventions applied: 10

Detection efficiency: 10.0% | Intervention efficiency: 100.0%

Equilibrium risk: 27.2

System dynamics: risk decreased from 50 to 29.5 over 100 steps. Detection rate: 10.0%. Intervention rate: 100.0%.

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ABNORMALITY DETECTION & BALANCE

Abnormality: Simulation diverges from reality by 0.1 points (0.0σ). Normal — model aligns with reality.

Balance: near equilibrium — moderate fluctuation (phase: fluctuation)

Meadows leverage points:

Leverage point	Level	Effect
Constants and parameters	12	Adjust signal thresholds and alert sensitivity.
Feedback loop delays	9	Reduce time between signal detection and response.
Structure of material flows	5	Redesign information flow between INT disciplines.
Rules of the system	3	Change authority levels and escalation triggers.
Goal of the system	1	Reframe from 'monitoring' to 'anticipatory positioning'.

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AGENT-BASED CASCADE (ABM)

- Agents: 50	Mean health: 0.180 (σ 0.197)
- Cascade events: 38	Target agent health: 0.651

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6-DIMENSION RISK SCORECARD

Dimension	Score (1-5)	Rationale
Exposure	4	Simulation std 15.6pt across 500 branches
Velocity	5	Geopolitical Escalation propagates in days-to-weeks
Severity	3	P(critical) 3.2%
Confidence	2	0 real signals underpinning the run
Reversibility	3	Interventions (scenario library) can reduce net risk
Contagion	3	P(high) 23.2% — cascade risk via ABM: 38 events
Composite Risk	20/30 — HIGH	Mean 49.9, σ 15.6, P(crit) 3.2%

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RECOMMENDED ACTIONS

Intervention ladder (by impact):

- `supply_chain_decoupling` — effect -0.18 on factor scores - `diplomatic_engagement` — effect -0.15 on factor scores - `hedge_currency` — effect -0.12 on factor scores - `do_nothing` — effect +0.00 on factor scores

Blue Team priority: deploy `supply_chain_decoupling` with 7.6pt expected mitigation.

Model driver: `base_score` dominates outcomes (swing 39.7pt) — monitor it first.

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FALSIFICATION CONDITIONS

If the observed Forreast Score of Apple Inc stays within 1σ of the simulated mean (49.9 ± 15.6) for 90 days, the model's predictive value is confirmed.

If R-hat exceeds 1.1 on the next run, the branch count (500) must be increased.

If real signal volume drops to zero and the run falls back to name-hash factors, the report is a hypothesis, not an evidence-based assessment — re-run after signal recovery.

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Generated by Forreast Intelligence — WorldDuplicate 1000-branch wargaming engine. Montis Sapientia, Fluminis Vis.