WARGAME — STRATEGIC SCENARIO

Supply Chain Disruption: Temasek Holdings

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

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EXECUTIVE SUMMARY

Temasek Holdings faces a Supply Chain Disruption scenario with a baseline Forreast Score of 50/100. A 500-branch Monte Carlo simulation converges to a mean of 56.6 (σ 13.8), with P(critical) = 4.0% and P(high) = 37.6%.

Convergence analysis (Gelman-Rubin R-hat = 0.998 across 4 chains) confirms the distribution is CONVERGED — stable. 5th-percentile tail risk: 34.0. System phase: fluctuation (near equilibrium — moderate fluctuation).

Red/Blue/Green adversarial debate verdict: CONTINGENCY REQUIRED (net risk 60.3). Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 60.3. Red impact (9.3) vs Blue mitigation (5.6) → Red dominates. Green intervenes.

Data basis: 143 real signals from the live intelligence stream (avg severity 0.55), sources: convergence_detector, opensanctions_local_cache, searxng_fallback, signal_sweep.

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SCENARIO PARAMETERS

Parameter	Value	Source
Scenario	Supply Chain Disruption	Forreast scenario library
Branches	500	WorldDuplicate Monte Carlo
Base score	50/100	Forreast Score (live)
Volatility	14.6pt	signal-derived
Signal shock	5.5pt	live signals
P(critical)	4.0%	Monte Carlo
Tail risk (P5)	34.0	Monte Carlo
R-hat	0.998 (converged)	4-chain Gelman-Rubin
Elapsed	0.375s	engine timing

Factor scores (from real signal mix where present):

Factor	Score (0-100)
logistics_diversity	72.0
geopolitical_exposure	59.8
supplier_concentration	49.0
inventory_buffer	31.0

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MONTE CARLO DISTRIBUTION

Statistic	Value
Mean	56.56
Median	56.75
Std	13.85
Min / Max	13.9 / 97.2
P5 / P25 / P75 / P95	34.0 / 47.7 / 65.2 / 78.9
P(critical ≥81)	4.0%
P(high ≥61)	37.6%
P(significant ≥41)	87.0%
Tail risk (P5)	34.0

Convergence: R-hat = 0.9983 across 4 chains × 200 branches. CONVERGED — results are stable.

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RED / BLUE / GREEN ADVERSARIAL DEBATE

Red Team (Adversary)

Attack vector: supplier_capture (exploits `inventory_buffer`, impact 9.3pt)

Red Team assesses that Temasek Holdings's 'inventory_buffer' factor (score: 31) is the critical vulnerability. Attack vector: supplier_capture. Projected impact: 9.3 point degradation. Monte Carlo shows P(critical) = 4.0%, tail risk at 5th percentile = 34.0. Recommend aggressive exploitation of this axis.

Blue Team (Client Defense)

Intervention: diversify_suppliers (mitigation 5.6pt)

Blue Team counters: apply 'diversify_suppliers' (effect: -0.18) to harden 'inventory_buffer'. Projected mitigation: 5.6 points. Defense capability: buffer_stock. Post-intervention Monte Carlo mean shifts from 56.6 to est. 38.6. Recommend immediate pre-positioning.

Green Team (Neutral / Exogenous)

Exogenous event: regulator_intervention (intervention probability 31%)

Green Team evaluates: exogenous event 'regulator_intervention' has 31% probability of materializing. Green intervention likely — may alter balance. Balance assessment: 56.6 mean with 13.8 std. System near equilibrium.

Move-by-Move (3 turns)

Turn	Red action	Blue response	Green reaction	ΔScore
1	port_blockade	reroute_logistics	regulator_intervention	+0.5
2	port_blockade	alternative_sourcing	neutral_shipping	-0.4
3	supply_disruption	reroute_logistics	neutral_shipping	+4.9

Consensus: CONTINGENCY REQUIRED

Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 60.3. Red impact (9.3) vs Blue mitigation (5.6) → Red dominates. Green intervenes.

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SENSITIVITY ANALYSIS (TORNADO)

Variable	Swing (pts)	Low → High
base_score	39.6	30 → 70 (35.1 → 74.6)
signal_shock	10.0	0.5188811188811195 → 10.518881118881119 (50.9 → 60.9)
volatility	0.5	7.311328671328671 → 21.933986013986015 (55.5 → 56.1)

Most sensitive variable: base_score (swing: 39.6 points). Model stability: UNSTABLE — high parameter sensitivity.

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SYSTEM DYNAMICS (STOCK/FLOW)

Final risk: 33.9 (initial 50) over 100 steps

Signals detected: 11 | Interventions applied: 11

Detection efficiency: 11.0% | Intervention efficiency: 100.0%

Equilibrium risk: 31.5

System dynamics: risk decreased from 50 to 33.9 over 100 steps. Detection rate: 11.0%. Intervention rate: 100.0%.

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ABNORMALITY DETECTION & BALANCE

Abnormality: Simulation diverges from reality by 6.6 points (0.5σ). 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 0.202)
- Cascade events: 40	Target agent health: 0.097

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6-DIMENSION RISK SCORECARD

Dimension	Score (1-5)	Rationale
Exposure	3	Simulation std 13.8pt across 500 branches
Velocity	4	Supply Chain Disruption propagates in days-to-weeks
Severity	3	P(critical) 4.0%
Confidence	4	143 real signals underpinning the run
Reversibility	3	Interventions (scenario library) can reduce net risk
Contagion	3	P(high) 37.6% — cascade risk via ABM: 40 events
Composite Risk	20/30 — HIGH	Mean 56.6, σ 13.8, P(crit) 4.0%

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RECOMMENDED ACTIONS

Intervention ladder (by impact):

- `diversify_suppliers` — effect -0.18 on factor scores - `legal_restructure` — effect -0.15 on factor scores - `increase_inventory` — effect -0.12 on factor scores - `do_nothing` — effect +0.00 on factor scores

Blue Team priority: deploy `diversify_suppliers` with 5.6pt expected mitigation.

Model driver: `base_score` dominates outcomes (swing 39.6pt) — monitor it first.

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FALSIFICATION CONDITIONS

If the observed Forreast Score of Temasek Holdings stays within 1σ of the simulated mean (56.6 ± 13.8) 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.