WARGAME — STRATEGIC SCENARIO

Sanctions & Regulatory Siege: Berkshire Hathaway

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

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EXECUTIVE SUMMARY

Berkshire Hathaway faces a Sanctions & Regulatory Siege scenario with a baseline Forreast Score of 50/100. A 500-branch Monte Carlo simulation converges to a mean of 57.2 (σ 17.9), with P(critical) = 10.8% and P(high) = 41.2%.

Convergence analysis (Gelman-Rubin R-hat = 1.001 across 4 chains) confirms the distribution is CONVERGED — stable. 5th-percentile tail risk: 28.2. System phase: fluctuation (near equilibrium — moderate fluctuation).

Red/Blue/Green adversarial debate verdict: CONTINGENCY REQUIRED (net risk 61.0). Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 61.0. Red impact (7.5) vs Blue mitigation (3.8) → Red dominates. Green intervenes.

Data basis: 1 real signals from the live intelligence stream (avg severity 0.78), sources: sec_edgar.

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SCENARIO PARAMETERS

Parameter	Value	Source
Scenario	Sanctions & Regulatory Siege	Forreast scenario library
Branches	500	WorldDuplicate Monte Carlo
Base score	50/100	Forreast Score (live)
Volatility	17.4pt	signal-derived
Signal shock	7.8pt	live signals
P(critical)	10.8%	Monte Carlo
Tail risk (P5)	28.2	Monte Carlo
R-hat	1.001 (converged)	4-chain Gelman-Rubin
Elapsed	0.341s	engine timing

Factor scores (from real signal mix where present):

Factor	Score (0-100)
compliance_maturity	52.0
alternative_markets	37.0
entity_exposure	28.0
jurisdiction_risk	25.0

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MONTE CARLO DISTRIBUTION

Statistic	Value
Mean	57.25
Median	57.11
Std	17.95
Min / Max	2.8 / 100.0
P5 / P25 / P75 / P95	28.2 / 44.9 / 70.1 / 86.4
P(critical ≥81)	10.8%
P(high ≥61)	41.2%
P(significant ≥41)	82.0%
Tail risk (P5)	28.2

Convergence: R-hat = 1.0011 across 4 chains × 200 branches. CONVERGED — results are stable.

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RED / BLUE / GREEN ADVERSARIAL DEBATE

Red Team (Adversary)

Attack vector: secondary_sanctions (exploits `jurisdiction_risk`, impact 7.5pt)

Red Team assesses that Berkshire Hathaway's 'jurisdiction_risk' factor (score: 25) is the critical vulnerability. Attack vector: secondary_sanctions. Projected impact: 7.5 point degradation. Monte Carlo shows P(critical) = 10.8%, tail risk at 5th percentile = 28.2. Recommend aggressive exploitation of this axis.

Blue Team (Client Defense)

Intervention: legal_restructure (mitigation 3.8pt)

Blue Team counters: apply 'legal_restructure' (effect: -0.15) to harden 'jurisdiction_risk'. Projected mitigation: 3.8 points. Defense capability: market_pivot. Post-intervention Monte Carlo mean shifts from 57.2 to est. 42.2. Recommend immediate pre-positioning.

Green Team (Neutral / Exogenous)

Exogenous event: WTO_arbitration (intervention probability 33%)

Green Team evaluates: exogenous event 'WTO_arbitration' has 33% probability of materializing. Green intervention likely — may alter balance. Balance assessment: 57.2 mean with 17.9 std. System in disequilibrium.

Move-by-Move (3 turns)

Turn	Red action	Blue response	Green reaction	ΔScore
1	secondary_sanctions	market_pivot	WTO_arbitration	-5.0
2	secondary_sanctions	compliance_build	diplomatic_pressure	-3.5
3	trade_embargo	market_pivot	WTO_arbitration	-4.4

Consensus: CONTINGENCY REQUIRED

Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 61.0. Red impact (7.5) vs Blue mitigation (3.8) → Red dominates. Green intervenes.

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SENSITIVITY ANALYSIS (TORNADO)

Variable	Swing (pts)	Low → High
base_score	38.2	30 → 70 (37.0 → 75.2)
signal_shock	10.3	2.8000000000000007 → 12.8 (53.6 → 63.9)
volatility	1.6	26.04 → 13.02 (56.3 → 58.0)

Most sensitive variable: base_score (swing: 38.2 points). Model stability: UNSTABLE — high parameter sensitivity.

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SYSTEM DYNAMICS (STOCK/FLOW)

Final risk: 21.9 (initial 50) over 100 steps

Signals detected: 12 | Interventions applied: 12

Detection efficiency: 12.0% | Intervention efficiency: 100.0%

Equilibrium risk: 25.6

System dynamics: risk decreased from 50 to 21.9 over 100 steps. Detection rate: 12.0%. Intervention rate: 100.0%.

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ABNORMALITY DETECTION & BALANCE

Abnormality: Simulation diverges from reality by 7.2 points (0.4σ). 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: 0.172 (σ 0.158)
- Cascade events: 42	Target agent health: 0.620

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6-DIMENSION RISK SCORECARD

Dimension	Score (1-5)	Rationale
Exposure	4	Simulation std 17.9pt across 500 branches
Velocity	4	Sanctions & Regulatory Siege propagates in days-to-weeks
Severity	4	P(critical) 10.8%
Confidence	2	1 real signals underpinning the run
Reversibility	3	Interventions (scenario library) can reduce net risk
Contagion	4	P(high) 41.2% — cascade risk via ABM: 42 events
Composite Risk	21/30 — HIGH	Mean 57.2, σ 17.9, P(crit) 10.8%

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RECOMMENDED ACTIONS

Intervention ladder (by impact):

- `legal_restructure` — effect -0.15 on factor scores - `diversify_markets` — effect -0.12 on factor scores - `compliance_investment` — effect -0.10 on factor scores - `do_nothing` — effect +0.00 on factor scores

Blue Team priority: deploy `legal_restructure` with 3.8pt expected mitigation.

Model driver: `base_score` dominates outcomes (swing 38.2pt) — monitor it first.

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FALSIFICATION CONDITIONS

If the observed Forreast Score of Berkshire Hathaway stays within 1σ of the simulated mean (57.2 ± 17.9) 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.