Scrutica
| Scenario | Category | Seed nodes | Severity | Sev. tier | Propagation decay | Direction |
|---|---|---|---|---|---|---|
| TSMC Taiwan Disruption | natural disaster | org-tsmc | 1.00 | T4 |
RAND’s working paper applies a firm-level macroeconomic shock-propagation framework anchored on FactSet Revere with ML-imputed missing edges; Scrutica’s cascade simulator extends the same edge-source family with explicit per-hop iterative decay, FactSet 3-month price-correlation weighting, and sole-source criticality flooring. The comparison establishes where Scrutica adds dimensions the published RAND working paper does not surface, not where Scrutica supplants RAND’s shock-propagation framework.
Access note · RAND publications landing page returned HTTP 403 at fetch time 2026-05-20; methodology summary below sourced from Scrutica’s existing peer-research synthesis (src/components/related-work/PeerNetworkSection.tsx:42–47) authored against the working paper, plus the published WR-A2625-1 abstract referenced therein. Cells label as verified-inaccessible where the published source could not be re-verified at fetch.
| Dimension | Scrutica | RAND WR-A2625-1 | What Scrutica adds |
|---|---|---|---|
| 0.90 |
| downstream |
| ASML Export Halt | export control | org-asml | 1.00 | T1 | 0.95 | downstream |
|---|
| US–China Full Decouple: Revenue Impact | geopolitical | org-nvidia, org-amd, org-intel, org-qualcomm | 0.15 | T1 | 0.70 | upstream |
|---|
| US–China Full Decouple: Access Denial | geopolitical | org-smic, org-huawei, org-baidu, org-bytedance, org-alibaba, org-tencent | 0.55 | T3 | 0.80 | downstream |
|---|
| CoWoS Advanced Packaging Bottleneck | supply bottleneck | org-tsmc | 0.40 | T2 | 0.70 | downstream |
|---|
| SK Hynix HBM Disruption | supply bottleneck | org-sk-hynix | 0.60 | T2 | 0.80 | downstream |
|---|
| EDA Export Restriction | export control | org-synopsys, org-cadence | 0.90 | T3 | 0.80 | downstream |
|---|
| Chiplet Assembly Disruption | supply bottleneck | org-tsmc, org-synopsys, org-cadence | 0.80 | T4 | 0.75 | downstream |
|---|
| Helium Supply Crisis (Hormuz) | supply bottleneck | org-samsung, org-sk-hynix, org-tsmc | 0.65 | T1 | 0.75 | downstream |
|---|
| InP/EML Laser Shortage | supply bottleneck | org-coherent, org-lumentum | 0.85 | T2 | 0.80 | downstream |
|---|
| ABF Substrate Monopoly (Ajinomoto) | supply bottleneck | org-ajinomoto | 0.90 | T1 | 0.95 | downstream |
|---|
| Gallium/Germanium Restriction (Nov 2026) | geopolitical | org-coherent, org-skyworks-solutions, org-qorvo, org-wolfspeed, org-infineon | 0.70 | T1 | 0.65 | downstream |
|---|
| CoWoS 2026 Allocation Constraint | supply bottleneck | org-tsmc | 0.85 | T1 | 0.85 | downstream |
|---|
| Allied Coordination: TSMC Advanced Node Restriction | policy intervention | org-tsmc | 1.00 | T4 | 0.90 | downstream |
|---|
| EDA License Restriction: China Entity List Expansion | policy intervention | org-synopsys, org-cadence | 0.95 | T4 | 0.80 | downstream |
|---|
| Netherlands DUV Export Restriction to China | policy intervention | org-asml | 0.70 | T4 | 0.85 | downstream |
|---|
| China Critical Minerals Retaliatory Restriction | policy intervention | org-coherent, org-skyworks-solutions, org-qorvo, org-wolfspeed, org-infineon | 0.70 | T4 | 0.65 | downstream |
|---|
| Multilateral Cloud Compute Access Restriction | policy intervention | org-amazon, org-microsoft, org-google-cloud, org-alphabet, org-oracle | 0.80 | T4 | 0.75 | downstream |
|---|
| Netherlands EUV Restriction: Allied Countries Only | policy intervention | org-asml | 1.00 | T4 | 0.95 | downstream |
|---|
| Edge basis (what each row in the graph is) |
Named-firm bilateral edges. 20,534 raw / 14,704 canonical-deduped, joined across FactSet Revere + WRDS-FactSet supply chain + WRDS Compustat segments + CSET ETO + chip-deployment chains. |
Firm-level bilateral edges drawn from FactSet Revere; missing edges imputed via ML rather than left absent (per WR-A2625-1 abstract).Inaccessible sourceaccessed 2026-05-20 |
Scrutica preserves missing edges as missing (no ML imputation); cross-source dedup recovers edges where multiple corpora corroborate. |
| Propagation model (how a shock walks the graph) | BFS propagation across the supply-chain graph with weighted decay (supply share × substitutability × correlation-blend); supports up to 5 hops per the default simulator config. Pre-built scenarios animate hop-by-hop reachability. | Firm-network shock-propagation model (input-output-style linkage estimation at the firm level). The working paper applies the model to disruption scenarios but does not publish a per-hop propagation-decay parameter directly comparable to Scrutica’s.Inaccessible sourceaccessed 2026-05-20 | Scrutica surfaces the per-hop weight per scenario row; RAND’s model is single-stage at the firm level. |
| Per-edge weighting | FactSet 3-month price-correlation (Pearson r) on 12,115+ edges (50–68% coverage per cascade/page.tsx:59,98); editorial criticality (1–10) fallback; sole-source edges floored at criticality 9 regardless of the price-correlation reading. | ML-imputed weights on missing edges; the published methodology section does not surface a public per-edge weight series directly comparable to FactSet 3-month price correlation.Inaccessible sourceaccessed 2026-05-20 | Empirical price-correlation as coupling proxy is the load-bearing differentiator; sole-source floor prevents under-weighting structural chokepoints. |
| Cycle handling | BFS traversal with visited-set; cycles are unwound (each node visited once per simulation seed). Pre-built scenarios are seed-deterministic. | Not specified in the published abstract / methodology section accessible to Scrutica at fetch.Inaccessible sourceaccessed 2026-05-20 | — |
| Correlation source (empirical coupling proxy) | FactSet 3-month rolling stock-price correlation (Pearson r) per bilateral edge; surfaced inline on each scenario per /cascade page. | Not surfaced as a per-edge series; RAND’s published model uses ML-imputed structural weights rather than rolling-window market-price coupling.Inaccessible sourceaccessed 2026-05-20 | Empirical market signal vs structural / ML-imputed weight — different choices, both defensible; Scrutica documents the choice + coverage rate inline. |
| Severity tiering per scenario | Severity sourced per scenario; tiered T1 (SEC filing / government announcement) → T4 (editorial framing); propagation_decay carries Tier 4 (editorial) across all scenarios per cascade-simulator.ts:187–207. | Severity is the modeled output of the shock; not surfaced as a per-scenario tiered input.Inaccessible sourceaccessed 2026-05-20 | Scrutica surfaces input severity tiering so an analyst can audit the modelled output back to its primary source. |
| Pre-built scenarios (named runs) | Taiwan-Strait crisis · EUV export halt · CoWoS packaging shortage · HBM Tier-1 disruption · US–China full decouple (+ ~10 more curated runs); each links to a deep-link interactive cascade. | The working paper applies the firm-network model to specific disruption case studies; pre-built scenarios are not exposed as an interactive surface.Inaccessible sourceaccessed 2026-05-20 | Scrutica is interactive; RAND is a paper. |
| Open data + reproducibility | Per-scenario CSV / JSON export at /cascade; substrate snapshot bundled in data/processed/substrate_snapshot.json; CC-BY 4.0 attribution. | Published as a working paper PDF; supporting data not surfaced as a separate open download alongside the paper.Inaccessible sourceaccessed 2026-05-20 | Reproducibility surface (the table, the export, the deep-link) is the artefact Scrutica adds. |
RAND’s working paper applies a firm-level macroeconomic shock-propagation framework anchored on FactSet Revere with ML-imputed missing edges; Scrutica’s cascade simulator extends the same edge-source family with explicit per-hop iterative decay, FactSet 3-month price-correlation weighting, and sole-source criticality flooring. The comparison establishes where Scrutica adds dimensions the published RAND working paper does not surface, not where Scrutica supplants RAND’s shock-propagation framework.
Switch to Analyst view (top of page) for the side-by-side methodology table.