settled-reach/docs/workshops/commodity-catalog/burnelli-sheldon-round2.md

Burnelli-Sheldon: Converged Commodity Catalog — Round 2

This is my converged proposal incorporating all four Round 1 outputs and all five lead directives. I'll mark where I'm making a judgment call that the team should confirm.

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0. Directive Compliance

Directive	How resolved
(a) Brands are not commodities	No per-brand entries. Calloway, VGV, Bifrost, thrds are corporations using abstract commodity chains.
(b) Luxury goods tension	One commodity, MULTIPLE production chains with different inputs and location constraints. Section 2 details.
(c) Water -> fuel	Fuel moves from raw to intermediate. 8.0 water -> 1.0 fuel. Section 1 details.
(d) No gratuitous duplication	Unified schema merges Tyre's base + my ubiquity/demand_model + Gestalt's 3 political flags. Eliminated duplicates.
(e) More services is richer	10 services total: 7 professional + 3 luxury. Added Commission certification, habitation, expanded medical.

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1. Unified Commodity List

Raw Materials (8)

Slug	Name	Bulk	Ubiquity	Demand	Base (T)	Elasticity	Notes
metallic_ore	Metallic Ore	heavy	common	market	10	unit_elastic	South_reach extraction primary. Stalownia territory
rare_minerals	Rare Minerals	compact	concentrated	market	80	elastic	Exotic crystals, rare earths. High-value, low-volume
timber	Timber	heavy	regional	market	15	unit_elastic	Forest worlds only. Nordmark Skog. 40-60y replanting cycle (Miri)
agricultural_produce	Agricultural Produce	perishable	ubiquitous	utility	5	inelastic	Grain, grapes, livestock, seafood, fermented ingredients. F8V/terroir constraints per D-177
water	Water	heavy	ubiquitous	utility	2	perfectly_inelastic	Life support critical. Fuel refining feedstock per directive (c)
organic_compounds	Organic Compounds	perishable	regional	market	35	unit_elastic	Biochemicals, pharmaceutical precursors, brach fiber (Braemar, D-177)
stone	Stone & Aggregate	heavy	common	market	8	unit_elastic	Construction stone, ceramics. Kvitfjell Blue marble is premium variant (800t/y ceiling, D-177)
lattice_material	Lattice-Grade Material	precision	concentrated	market	120	elastic	Strategic resource for neural lattice and gate fabrication. Geographically sparse. East_reach anchor (closes Miri's identity gap)

Key decisions:

Why 8 raws, not 7: Stone and ore follow different chains (smelting vs cutting). Lattice-grade material is separated from rare minerals because the supply chain is politically distinct: Commission-controlled, canonical contraband pathway (D-037), and the mechanism that drives the shadow economy. Collapsing it into rare minerals would make a lattice shortage cascade identically to a general rare mineral shortage, which is economically wrong and dramatically uninteresting.

Why lattice material as a raw, not Gestalt's intermediate: Miri and Gestalt both identify this material as geographically sparse and extraction-bound. The "processing" (purification, crystal growth) happens at the extraction site, not at a separate manufacturing step. It enters final goods directly — implant hardware and gate components both consume it as a raw input. This gives it a SHORT chain (raw -> final) that makes supply disruptions cascade immediately to the two most politically sensitive goods. That's the right economic behavior.

Agricultural produce is intentionally broad. Grain (Calloway), grapes (VGV), seafood (east_reach Dagat), fermented ingredients (Jeonnam) are all agricultural_produce. The distinction happens at the production chain level (multiple chains → processed_food and luxury_goods) and the corporation level (Calloway uses grain; VGV uses grapes; east_reach cooperatives use maritime harvest). This follows directive (a): brands are not commodities.

Water is ubiquitous AND perfectly inelastic. On ocean worlds it's nearly free. On bare-rock stations 8 hops from an ice source, it's life-or-death expensive. The geographic gradient for water is enormous in absolute terms despite the low base price because station consumption volumes are massive.

Intermediate Goods (9)

Slug	Name	Bulk	Ubiquity	Demand	Base (T)	Elasticity	Primary inputs
fusion_fuel	Fusion Fuel	standard	common	utility	25	perfectly_inelastic	8.0 water
refined_metals	Refined Metals	standard	regional	market	35	inelastic	2.0 ore + 0.3 fuel
advanced_alloys	Advanced Alloys	compact	concentrated	market	100	elastic	1.5 ore + 0.3 rare minerals + 0.2 fuel
structural_panels	Structural Panels	standard	regional	market	50	unit_elastic	1.0 timber + 0.5 refined metals
processed_food	Processed Food	standard	common	utility	15	inelastic	1.5 agri produce + 0.2 water
electronics	Electronics & Components	compact	concentrated	market	130	unit_elastic	0.5 rare minerals + 0.3 refined metals + 0.2 fuel
chemicals	Chemicals & Pharmaceuticals	standard	regional	market	65	inelastic	1.0 organic compounds + 0.3 water
drive_cores	Drive Cores	compact	concentrated	market	200	elastic	0.4 rare minerals + 0.8 advanced alloys
textiles	Textiles & Composites	standard	regional	market	55	unit_elastic	0.8 organic compounds + 0.2 chemicals

Key decisions:

Fusion fuel is an intermediate, not a raw (directive c). Water -> fuel at 8:1 yield. Input cost: 16T. Fuel price: 25T. Margin: 56%. The low yield is what makes fuel expensive despite cheap inputs. This creates the interesting dynamic: every system with water CAN refine fuel, but the economics only work at scale. Small stations import; large operations refine locally.

Fuel appears as an explicit Leontief input to energy-intensive chains only: refined metals (smelting), advanced alloys (precision metallurgy), electronics (fabrication). A fuel shortage cascades through the industrial sector but spares food processing, textiles, and chemicals. This is the right scoping: fuel is critical infrastructure, not a universal bottleneck.

9 intermediates, not 8. Fuel's promotion from raw creates the 9th intermediate. D-173 said "approximately 30" total — 35 is within the spirit given the service expansion the lead mandated.

Tyre's energy question resolved: Local energy (solar, geothermal) is NOT a commodity. It's a site-level production cost modifier. Fusion fuel is the TRADED energy commodity. A site with cheap local energy has lower production costs across all chains but doesn't export "energy" through gates. This is clean: one traded energy good (fuel), one implicit cost factor (local generation).

Final Goods (8)

Slug	Name	Bulk	Ubiquity	Demand	Base (T)	Elasticity	Primary inputs
heavy_equipment	Heavy Equipment	oversized	regional	market	250	elastic	1.0 refined metals + 0.3 electronics + 0.2 drive cores
vehicles	Vehicles & Craft	oversized	concentrated	market	400	elastic	0.8 advanced alloys + 0.3 electronics + 0.3 drive cores
consumer_goods	Consumer Goods	standard	common	market	90	unit_elastic	0.3 processed food + 0.3 textiles + 0.2 electronics
luxury_goods	Luxury Goods	precision	monopolistic	market	500	luxury_elastic	MULTIPLE CHAINS — see section 2
implant_hardware	Implant Hardware	precision	concentrated	market	450	luxury_elastic	0.5 electronics + 0.3 chemicals + 0.3 lattice material
gate_components	Gate Components	oversized	monopolistic	market	800	luxury_elastic	1.0 advanced alloys + 0.5 drive cores + 0.3 electronics + 0.2 lattice material
habitat_modules	Habitat Modules	oversized	regional	market	200	unit_elastic	1.5 structural panels + 0.4 electronics + 0.3 chemicals
freight_haulers	Freight Haulers	oversized	concentrated	market	350	elastic	1.5 refined metals + 0.5 drive cores + 0.3 electronics

Key decisions:

Oversized bulk class (from Gestalt). Heavy equipment, vehicles, gate components, freight haulers, and habitat modules are all B-oversized (2.5x transport cost). This creates DURABLE manufacturing centers — shipping finished rigs is prohibitively expensive, so manufacturing stays near raw sources. This is the mechanism that makes Stalownia's south_reach location structurally persistent. Gestalt's insight here is critical for economic geography.

Lattice material feeds directly into implant hardware AND gate components. No intermediate "lattice substrate" step. The short chain (raw -> final) means lattice supply disruptions cascade IMMEDIATELY to the two most politically charged finals. This creates maximum drama per chokepoint — exactly what the storyteller needs.

Freight haulers separate from vehicles. Demand functions differ: freight haulers = f(trade_volume, fleet_age); vehicles = f(population, wealth). A trade boom doesn't increase personal vehicle demand. This distinction matters for the simulation's trade-volume responsiveness.

Professional Services (7)

Slug	Name	Demand	Base (T)	Elasticity	Notes
legal_services	Legal Services	compliance	100	inelastic	Contract enforcement, arbitration, commercial law. FM south_reach, Crown's Hollow west_reach (Miri)
financial_services	Financial Services	compliance	120	inelastic	Banking, credit, clearing, currency exchange. Groombridge clearing house (D-175 priority gap)
insurance	Insurance & Underwriting	market	75	unit_elastic	Cargo, liability, corporate risk. No Tier 1 corp yet — priority gap (Miri)
commercial_intelligence	Commercial Intelligence	market	50	unit_elastic	Market data, intelligence brokerage. Adams & Ford, Mercado, Ferreira Monteiro, VGV Comptoir
commission_certification	Commission Certification	compliance	150	perfectly_inelastic	Lattice/medical/safety/transport certification. Tractus-denominated. THE mechanism generating shadow economy friction
habitation	Habitation & Berths	utility	40	inelastic	Living space, station berthing, capacity allocation. Backs the D-131 "rent" verb. Node capacity limiter (Gestalt)
medical_services	Medical Services	utility	200	perfectly_inelastic	Healthcare, neural backup, re-embodiment. Includes licensed re-embodiment (Miri's gap). Prometheus network sparsity

Key decisions:

Commission certification is a separate service (directive e). It is not legal services. Certification is a regulatory gatekeeping function performed by the Lattice Commission. Its cost (Tractus-denominated) applied to Compact members who must convert from Mark (at ~3% friction) IS the structural driver of the shadow economy. Making it a separate commodity makes this mechanism visible to the simulation. commission_certification being compact_contested = true is the single most politically charged service in the catalog.

Habitation/berths (from Gestalt). Station capacity is finite. A booming node runs out of berths, which caps growth and creates a natural rent-seeking pressure. This backs the D-131 "rent" verb and creates a node-capacity equilibrium: growth -> berth scarcity -> rising rents -> growth capped. It's an elegant self-limiting mechanism.

Commercial intelligence consolidates my "information brokerage" and Gestalt's "commercial intelligence" (directive d). Same concept, Gestalt's name is better. It covers: market data analysis, trade intelligence, confidential corporate briefings. The shadow variant (D-174: "unregistered commercial intelligence") is handled by shadow_viable = true.

Medical includes re-embodiment (Miri's gap). D-174 lists "unlicensed re-embodiment" as canonical contraband. The licensed version is this service. commission_cert_required = true and shadow_viable = true — the formal service requires Commission licensing, and the informal version fills gaps in Compact/frontier systems.

Logistics management removed (Gestalt's insight). Logistics costs are implicit in the transport cost system. A separate "logistics management" service is redundant with the gate-hop cost model. What Mercado does is better modeled as commercial intelligence (supply chain data) + corporate behavioral advantages (Distributor archetype).

Luxury/Experiential Services (3)

Slug	Name	Demand	Base (T)	Elasticity	Notes
tourism	Tourism	market	100	luxury_elastic	Destination experiences. VGV wine estates, Calloway distillery circuit. Deep-corridor prestige (Miri)
entertainment	Entertainment & Media	market	30	elastic	Holo-content, performances, commercial media. Adams & Ford adjacent
cultural_experiences	Cultural Experiences	market	60	elastic	Fine dining, gastronomy, cultural consumption. Talbreu territory. Labor-intensive

Total Count

Category	Count
Raw materials	8
Intermediate goods	9
Final goods	8
Professional services	7
Luxury services	3
Total	35

D-173 estimated ~30. The 5 additional come from: fuel promotion to intermediate (+1), lattice material as separate raw (+1), and 2 additional services mandated by directive (e). This is within the "approximately" range and each addition has clear economic justification.

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2. Resolving the Luxury Goods Tension (Directive b)

The problem

"Luxury goods" as one commodity conflates:

• Calloway whisky: 12-20y aging, grain input, terroir-locked
• VGV Grand Vide Classe: 5y+ aging, F8V stellar lock, grape input
• Kvitfjell Blue marble: 800t/y geological ceiling, stone input
• thrds garments: brach fiber monopoly, biological ceiling

These have radically different production constraints, inputs, geographic anchors, and scarcity profiles.

The solution: one commodity, multiple production chains

The commodity luxury_goods is abstract. The production chains are specific:

[luxury_goods_beverages]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "agricultural_produce", quantity = 2.0 },
    { commodity = "chemicals", quantity = 0.3 },
    { commodity = "water", quantity = 0.5 },
]
location_bound = true
description = "Artisan beverages: spirits, wines, ales. Terroir and aging
determine character. Calloway, VGV, Talbreu production pathway."

[luxury_goods_artisan_stone]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "stone", quantity = 3.0 },
    { commodity = "chemicals", quantity = 0.1 },
]
location_bound = true
description = "Cut and finished decorative stone. Geological source
determines character. Bifrost Marmor pathway."

[luxury_goods_fine_textiles]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "textiles", quantity = 1.5 },
    { commodity = "chemicals", quantity = 0.2 },
]
location_bound = true
description = "Premium garments, technical textiles. Fiber source
determines quality. thrds pathway."

[luxury_goods_general]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "processed_food", quantity = 0.3 },
    { commodity = "textiles", quantity = 0.3 },
    { commodity = "electronics", quantity = 0.2 },
]
location_bound = false
description = "Mass-market premium: fragrances, packaged delicacies,
high-end consumer items. Not terroir-locked."

How the layers interact

Layer	What it encodes	Example
Commodity	Abstract category, one price signal, one elasticity	luxury_goods: base 500T, luxury_elastic
Production chain	Process type, input requirements, location constraint	luxury_goods_beverages: agri + chemicals + water, location_bound
Corporation	Specific brand, productivity ceiling, behavioral archetype	Calloway: Specialist, chain=beverages, site=GJ 3325, aging=12-20y, ceiling per D-177
Productivity seed	Per-run variation within lore-consistent bounds	Calloway harvest yield: seeded +/-20% (D-177)

D-177's hard constraints (800t/y marble, brach herd limits, F8V lock, aging pipelines) are enforced at the corporation x site level, not the commodity or chain level. The chain says WHAT can be produced; the corporation profile says HOW MUCH at THIS LOCATION.

What this does NOT do (and why that's acceptable)

It does NOT create separate price signals for whisky vs. marble. Both are "luxury goods."

This is acceptable because:

1. Phase 2 has no player UI for prices — no player observes the aggregate.
2. The sim's spatial price equilibrium creates GEOGRAPHIC differentiation: north_reach luxury supply drops when Calloway output drops; west_reach luxury supply drops when Bifrost output drops. Same commodity, different geographic prices.
3. Corporate signals (D-181 signal 6: production_vs_baseline) reveal the specific producer. A player can TRACE "luxury goods price rising in north_reach" to "Calloway output down" via the corporate layer.
4. If Phase 3+ player UI requires finer resolution, we split the commodity then. But splitting now creates Miri's slippery slope (9+ finals) that the lead rejected.

The real-world analogy

This is how real commodity markets work. "Agricultural commodities" is one price aggregate. A wheat shortage in Kansas and a rice shortage in Thailand produce different geographic price patterns within the same aggregate. The geographic differentiation IS the mechanism — not commodity sub-types.

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3. Unified Schema

Commodity record: wiki/economics/commodities.toml

# Commodity catalog for the Settled Reach economics simulation.
# Source of truth — compiled to systems.db via `make economy-db`.
#
# ID convention: flat underscore slugs (e.g., refined_metals, legal_services)
# matching Rust/TOML conventions. No namespace prefixes.

[water]
name = "Water & Volatiles"
tier = "raw"
elasticity = "perfectly_inelastic"
base_price = 2.0
bulk_class = "heavy"
unit = "tonnes"
production_ubiquity = "ubiquitous"
demand_model = "utility"
commission_cert_required = false
compact_contested = false
shadow_viable = false
panic_threshold_weeks = 1
description = "Water ice and atmospheric volatiles. Life support critical. Fuel refining feedstock."

Field definitions

Field	Type	Source	Rationale
name	string	Tyre	Display name. TOML key is the ID
tier	enum: raw, intermediate, final, service_professional, service_luxury	Tyre	5 tiers per D-173. Services outside the production chain
elasticity	enum: perfectly_inelastic, inelastic, unit_elastic, elastic, luxury_elastic	Tyre + mine	5 classes per D-173. luxury_elastic replaces Tyre's perfectly_elastic — more descriptive
base_price	float > 0	Mine	Equilibrium price at typical producing node, in Tractus
bulk_class	enum: heavy, perishable, standard, compact, precision, oversized, non_physical	Mine + Gestalt	7 classes. perishable and oversized from Gestalt's B-3 and B-5 — essential for geographic behavior
unit	enum: tonnes, units, contracts	Tyre	Keeps production chain quantities unambiguous
production_ubiquity	enum: ubiquitous, common, regional, concentrated, monopolistic	Mine	Guides generate_corporations initialization — how to spread production across the map
demand_model	enum: market, utility, compliance	Mine	utility commodities have demand floors that never drop to zero; compliance demand is regulation-driven
commission_cert_required	bool	Gestalt	Commission must certify before formal-sector sale
compact_contested	bool	Gestalt	Compact officially rejects Commission authority over this commodity
shadow_viable	bool	Gestalt	Shadow market routinely exists for this commodity
panic_threshold_weeks	int >= 0	Mine	0 = not panic-flagged. > 0 = stockpile-target panic trigger (demand spikes when stockpile < N weeks)
description	string (optional)	Tyre	Flavor text for wiki/UI. Not consumed by sim

Fields I deliberately excluded

• No single political_sensitivity boolean. Gestalt's 3 sub-flags (commission_cert_required, compact_contested, shadow_viable) are strictly richer. They compose: a good that is Commission-certified, Compact-contested, AND shadow-viable (like implant hardware) behaves differently from one that is only Commission-certified (like transport vehicles).
• No transportable field. Derivable from bulk_class != "non_physical" (Tyre's reasoning).
• No shadow_economy per-commodity flag. D-174 says shadow economy is per-NODE intensity, not per-commodity. shadow_viable means "this commodity HAS a shadow market where intensity > threshold" — but the threshold is nodal.
• No currency field. All prices are Tractus-denominated (D-171: Tractus is numeraire). Currency zone conversions happen at runtime.
• No category sub-grouping. The production chain graph provides the categorization. No need for redundant taxonomic labels.

Bulk class transport cost multipliers

Class	Modifier	Applied to base gate rate (5-12%)	Key geographic effect
heavy	1.2x	Ore, stone, timber, water	Moderate gradient. Raw materials equalize within a corridor
perishable	1.8x	Agricultural produce, organic compounds	Steep gradient. Fresh food prices vary enormously — creates local food production incentive
standard	1.0x	Refined metals, panels, processed food, textiles, chemicals, fuel	Baseline. Manufactured intermediates flow through the gate network at standard rates
compact	0.8x	Electronics, drive cores, advanced alloys, consumer goods	Shallow gradient. High-value items flow far — worth shipping across the Reach
precision	0.6x	Rare minerals, lattice material, implant hardware, luxury goods	Very shallow. Scarcity-driven pricing, not transport-driven
oversized	2.5x	Heavy equipment, vehicles, gate components, freight haulers, habitat modules	Very steep. Manufacturing hubs are DURABLE — finished rigs don't ship cheaply. This is what makes Stalownia's location persistent (Gestalt's critical insight)
non_physical	infinity	All services	Cannot traverse gates. Production = consumption node

Production chain record: wiki/economics/production_chains.toml

Schema follows Tyre's design. Key addition: multiple chains can produce the same output (structural substitution per D-173).

[fusion_fuel_from_water]
output = "fusion_fuel"
output_quantity = 1.0
inputs = [
    { commodity = "water", quantity = 8.0 },
]
location_bound = false
description = "Deuterium/tritium extraction. Low yield (8:1) is the cost driver."

[refined_metals_standard]
output = "refined_metals"
output_quantity = 1.0
inputs = [
    { commodity = "metallic_ore", quantity = 2.0 },
    { commodity = "fusion_fuel", quantity = 0.3 },
]
location_bound = false
description = "Standard smelting. Fuel-intensive."

Tyre's validation rules apply fully. All hard failures (dangling refs, circular deps, zero inputs, services in chains, etc.) and soft warnings (orphan commodities, raws as chain outputs, finals as chain inputs). I endorse Tyre's validation spec without modification.

One addendum to Tyre's rules: Allow raw-tier commodities as inputs to final-tier chains (lattice_material -> implant_hardware, lattice_material -> gate_components). This is valid when the raw requires minimal intermediate processing. The soft warning "Raw tier commodities SHOULD NOT appear as chain inputs for final goods" should flag but not fail.

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4. Complete Production Chain Recipes

Raw -> Intermediate

Chain slug	Output	Inputs	Input cost (T)	Output price (T)	Margin
fusion_fuel_from_water	fusion_fuel	8.0 water	16	25	56%
refined_metals_standard	refined_metals	2.0 ore + 0.3 fuel	27.5	35	27%
advanced_alloys_standard	advanced_alloys	1.5 ore + 0.3 rare minerals + 0.2 fuel	44	100	127%
structural_panels_standard	structural_panels	1.0 timber + 0.5 refined metals	32.5	50	54%
processed_food_standard	processed_food	1.5 agri produce + 0.2 water	7.9	15	90%
electronics_standard	electronics	0.5 rare minerals + 0.3 refined metals + 0.2 fuel	55.5	130	134%
chemicals_standard	chemicals	1.0 organic compounds + 0.3 water	35.6	65	83%
drive_cores_standard	drive_cores	0.4 rare minerals + 0.8 advanced alloys	112	200	79%
textiles_standard	textiles	0.8 organic compounds + 0.2 chemicals	41	55	34%

Intermediate -> Final

Chain slug	Output	Inputs	Input cost (T)	Output price (T)	Margin
heavy_equipment_standard	heavy_equipment	1.0 refined metals + 0.3 electronics + 0.2 drive cores	114	250	119%
vehicles_standard	vehicles	0.8 advanced alloys + 0.3 electronics + 0.3 drive cores	179	400	123%
consumer_goods_standard	consumer_goods	0.3 processed food + 0.3 textiles + 0.2 electronics	47	90	91%
implant_hardware_standard	implant_hardware	0.5 electronics + 0.3 chemicals + 0.3 lattice material	120.5	450	273%
gate_components_standard	gate_components	1.0 advanced alloys + 0.5 drive cores + 0.3 electronics + 0.2 lattice material	263	800	204%
habitat_modules_standard	habitat_modules	1.5 structural panels + 0.4 electronics + 0.3 chemicals	146.5	200	37%
freight_haulers_standard	freight_haulers	1.5 refined metals + 0.5 drive cores + 0.3 electronics	191.5	350	83%

Luxury goods — multiple chains

Chain slug	Output	Inputs	Input cost (T)	Location bound?
luxury_goods_beverages	luxury_goods	2.0 agri produce + 0.3 chemicals + 0.5 water	30.5	Yes
luxury_goods_artisan_stone	luxury_goods	3.0 stone + 0.1 chemicals	30.5	Yes
luxury_goods_fine_textiles	luxury_goods	1.5 textiles + 0.2 chemicals	95.5	Yes
luxury_goods_general	luxury_goods	0.3 processed food + 0.3 textiles + 0.2 electronics	47	No

Note on luxury margins: The beverage and stone chains both cost ~30T to produce luxury goods priced at 500T. The ~1500% margin IS the brand. Per directive (a), the corporate behavioral agent layer (Monopolist/Specialist archetype) maintains this margin. The luxury_goods_general chain has a higher input cost (47T) and lower margin — these are mass-market premium goods without terroir, produced by generic corporations.

Substitution routes (D-173 structural substitution)

Chain slug	Output	Inputs	Notes
refined_metals_from_salvage	refined_metals	1.0 metallic_ore	Recycling pathway. Lower ore input, no fuel. Available at old stations with decommissioned infrastructure
structural_panels_composite	structural_panels	0.8 refined_metals + 0.3 chemicals	Metal-and-chemical composite. Substitute for timber-based panels when timber is scarce

These substitution routes create alternative supply paths per D-173. The simulation picks the cheapest available chain at each production site. When timber is scarce, structural panels shift to the composite route (which costs more in refined metals and chemicals but avoids the timber bottleneck). This is realistic — real construction materials have metal, wood, and composite alternatives.

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5. Scarcity Cascade Analysis (Revised)

With the new chain structure (fuel as intermediate, lattice as separate raw):

Lattice material shortage

lattice_material DOWN
  -> implant_hardware DOWN (direct input)
  -> gate_components DOWN (direct input)

Shortest cascade in the model. Two final goods hit immediately, both maximally politically sensitive. Commission certification costs don't change, but supply vanishes — creating the price spike that makes shadow-market alternatives competitive. This IS the D-037 contraband genesis: licensed components become scarce, unlicensed versions fill the gap.

Rare minerals shortage

rare_minerals DOWN
  -> electronics DOWN
    -> consumer_goods DOWN, implant_hardware DOWN, gate_components DOWN,
       heavy_equipment DOWN, vehicles DOWN, freight_haulers DOWN, habitat_modules DOWN
  -> advanced_alloys DOWN
    -> vehicles DOWN (double hit), gate_components DOWN (double hit), drive_cores DOWN
      -> heavy_equipment DOWN, freight_haulers DOWN (triple cascade via alloys->cores->haulers)
  -> drive_cores DOWN (direct)
    -> (same downstream as above)

Broadest cascade. Rare minerals touch 3 intermediates, which touch 7 of 8 finals. Only luxury goods (through the beverage/stone/textile chains) are spared. This makes rare minerals the strategic chokepoint of the general economy — distinct from lattice material's narrower but more politically charged cascade.

Fuel shortage (NEW — water disruption cascading through fuel)

water DOWN -> fusion_fuel DOWN
  -> refined_metals DOWN
    -> structural_panels DOWN, heavy_equipment DOWN, freight_haulers DOWN (metals-intensive)
  -> advanced_alloys DOWN
    -> vehicles DOWN, gate_components DOWN, drive_cores DOWN
  -> electronics DOWN
    -> (broad downstream cascade)

The fuel cascade is the deepest. Water -> fuel -> metals/alloys/electronics -> nearly everything. A water supply disruption at a fuel refining hub cascades through the ENTIRE industrial economy. This is realistic: energy is the foundation of all manufacturing. The cascade's depth (5-6 tiers) means the price signal takes many ticks to propagate, creating a slow-building crisis that an attentive player can anticipate before it hits.

Agricultural produce shortage

agricultural_produce DOWN
  -> processed_food DOWN (inelastic demand = massive price spike, small quantity drop)
  -> luxury_goods DOWN (beverage chain only — stone and textile chains unaffected)

Short cascade, dramatic price effect. Food is Category 2 inelastic. A 20% supply drop barely changes demand (-5%) but spikes price by 40-60%. The political fallout (food price riots) is disproportionate to the supply disruption. This is realistic — food price shocks cause more political instability than equivalent-magnitude industrial disruptions.

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6. Elasticity Classification (Revised)

Five categories. The categories from my Round 1 output stand with minor adjustments incorporating Gestalt's alpha-modifier insight.

Class	Label	epsilon range	Tatonnement behavior	Commodities
E-1	perfectly_inelastic	0.0-0.1	1.5x alpha — prices spike fast, sellers gouge	water (stations), fusion_fuel, medical_services, commission_certification
E-2	inelastic	0.2-0.4	1.2x alpha — moderate spike	agri_produce, processed_food, chemicals, legal_services, financial_services, refined_metals, habitation
E-3	unit_elastic	0.8-1.2	1.0x alpha (baseline)	metallic_ore, structural_panels, electronics, consumer_goods, habitat_modules, insurance, commercial_intelligence, textiles, stone
E-4	elastic	1.5-2.5	0.7x alpha — quantity collapses, price adjusts moderately	heavy_equipment, vehicles, freight_haulers, advanced_alloys, drive_cores, entertainment, cultural_experiences
E-5	luxury_elastic	3.0+	0.5x alpha — market collapses to niche buyers	luxury_goods, gate_components, implant_hardware, tourism, rare_minerals (at non-source), lattice_material (at non-source)

Gestalt's alpha modifier is a strong contribution. Rather than just categorizing elasticity, it maps directly to tâtonnement behavior: inelastic goods spike fast (sellers exploit); elastic goods see volume collapse (buyers walk). This creates visibly different market behavior from the same supply shock depending on what got disrupted. I endorse incorporating the modifier into the sim's price adjustment loop.

Panic mechanism (unchanged from Round 1)

Stockpile-target mechanism with thresholds:

Commodity	Threshold	Demand spike
water	< 1 week	3-5x
fusion_fuel	< 2 weeks	2-3x
processed_food	< 2 weeks	1.5-2x
chemicals	< 3 weeks	1.5x
rare_minerals	price-triggered	when price_trend > +15%/tick for 5+ ticks
lattice_material	price-triggered	when price_trend > +20%/tick for 3+ ticks

Interacts with D-181 stockpile_weeks signal — the signal IS the mechanism.

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7. Political Sensitivity Map (Converged)

Using Gestalt's 3-flag system across the full catalog:

Commodity	Cert req?	Compact contested?	Shadow viable?	Drama summary
water	No	No	No	Pure utility
metallic_ore	No	No	No	Pure commodity
rare_minerals	No	No	Partial	Quota evasion at concentrated sources
timber	No	No	No
agricultural_produce	Partial	No	No	Organic certification in Assembly; Compact ignores
organic_compounds	No	No	No
stone	No	No	Partial	Kvitfjell quota creates minor shadow (Gestalt)
lattice_material	Yes (strategic)	No	High	Commission-controlled. Canonical contraband pathway (D-037)
fusion_fuel	Yes (safety)	Yes	Yes	Nuclear fuel cert burden. Compact energy independence goal
refined_metals	No	No	No
advanced_alloys	No	No	No
structural_panels	No	No	No
processed_food	Partial	No	No	Food safety cert; Compact accepts alternatives
electronics	Partial	Partial	No	Precision spec cert; minor friction
chemicals	Yes	Yes	Yes	Hazmat cert. Compact views as tariff by another name (Gestalt)
drive_cores	Partial	Partial	Partial	Safety cert for propulsion; Compact operates some uncertified
textiles	No	No	No
heavy_equipment	No	No	No	Too large to shadow-market (Gestalt)
vehicles	Yes (safety)	Partial	Partial	Commission registration; Compact unregistered ops
consumer_goods	No	No	Partial	Uncertified goods undercut certified at low-coverage nodes
luxury_goods	Partial	No	Yes	Sol-denominated premium goods. Shadow prestige market
implant_hardware	Yes	High	High	THE flashpoint — D-037. Commission implant cert is the Compact's core grievance
gate_components	Yes	Extreme	High	Gate Corp monopoly + Commission cert = maximum extraction
habitat_modules	Partial	No	No	Building codes; minor
freight_haulers	Yes (safety)	Partial	Partial	Registration requirements
commission_certification	—	Extreme	—	The service IS the political instrument
legal_services	No	No	No
financial_services	No	No	Partial	Shadow banking in Compact zones
insurance	No	No	No
commercial_intelligence	No	No	Yes	Unregistered intelligence = D-174 canonical contraband
habitation	No	No	No
medical_services	Yes	Partial	High	Licensed re-embodiment. Shadow market fills Compact gaps
tourism	No	No	No
entertainment	No	No	Partial	Unlicensed content distribution
cultural_experiences	No	No	No

The three political flashpoints (confirming Gestalt's analysis):

1. Implant hardware — Commission cert + Assembly control. The Compact's shadow implant market is principled resistance, not criminality (D-174 framing).
2. Gate components — Gate Corp monopoly + Commission cert. The Assembly's ultimate leverage tool.
3. Fuel — Compact energy independence is a live political project. Currency zone correlates with energy self-sufficiency.

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8. Service Economics Model (Converged)

How services differ from physical commodities

Per D-173 and Gestalt's Round 1 analysis, services are mechanically different in three ways:

A. No transport, no arbitrage. Services have bulk_class = "non_physical". They don't participate in spatial price equilibrium across nodes. A legal service at Matamba cannot be "shipped" to the east_reach.

B. Services consume goods — goods-demand multiplier (Gestalt's contribution). Each service generates local demand for physical commodities:

Service	Goods demand generated
legal_services	Increases Tractus velocity (fee income)
financial_services	Affects cross-zone trade friction; Tractus velocity
insurance	Affects trade volume through risk pricing (no direct goods demand)
commercial_intelligence	Improves local signal visibility (better official_coverage_ratio)
commission_certification	Consumes Tractus (certification fees); generates shadow economy pressure
habitation	Consumer goods demand (furnishing); fusion_fuel demand (life support)
medical_services	Chemicals demand (pharmaceuticals); electronics demand (medical equipment)
tourism	Luxury goods demand; consumer goods demand; fusion_fuel demand
entertainment	Electronics demand (production hardware); fusion_fuel demand
cultural_experiences	Luxury goods demand; agricultural_produce demand (gastronomy)

This means a high-tourism node pulls increased luxury goods demand. A high-medical node increases chemicals and electronics imports. These cross-commodity interactions create emergent economic clustering without explicit scripting.

C. Service throughput seeds differently. Physical goods use extraction_rate and processing_throughput (D-176). Services use service_throughput (clients/tick) and service_capacity (max concurrent engagements). Both seeded log-normally, but service ceilings are population-dependent — a 500-person station can't sustain a legal practice regardless of the seed.

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9. Base Price Verification

Cost chain trace: water to gate components

water (2T) -> [8:1] -> fuel (25T) -> [input to metals]
  -> refined_metals (35T) -> [input to alloys]
    -> advanced_alloys (100T) -> [input to drive cores]
      -> drive_cores (200T) -> [input to gate components]
        + lattice_material (120T, raw, direct)
        + electronics (130T)
          -> gate_components (800T)

6-tier chain from water to gate components. Total accumulated input cost at the gate_components level: 263T. Gate price: 800T (204% margin). The margin reflects Gate Corporation's monopoly power (Monopolist archetype) and the strategic importance of gate infrastructure.

Transport cost sanity (revised with bulk classes)

Example: how does ore price behave across the gate topology?

Ore (10T, heavy, 1.2x modifier). Assuming 8% average base gate rate:

Hops	Effective cost/hop	Price	Increase
0 (source)	—	10T	—
3	9.6%	13.2T	+32%
6	9.6%	17.4T	+74%
10	9.6%	25.0T	+150%

Example: heavy equipment (250T, oversized, 2.5x modifier):

Hops	Effective cost/hop	Price	Increase
0 (source)	—	250T	—
3	20.0%	432T	+73%
6	20.0%	747T	+199%
10	20.0%	1,548T	+519%

Heavy equipment QUINTUPLES over 10 hops at oversized rates. This is the mechanism that makes Stalownia's south_reach location structurally irreplaceable. You don't ship drilling rigs 10 hops — you build them locally or buy from the nearest Stalownia subsidiary. Geographic manufacturing persistence falls directly out of the bulk class system.

Fresh food (5T base, perishable, 1.8x):

Hops	Effective cost/hop	Price	Increase
0	—	5T	—
3	14.4%	7.5T	+50%
6	14.4%	11.3T	+126%
10	14.4%	19.2T	+284%

Fresh food nearly QUADRUPLES over 10 hops. This creates the local food production incentive: every inhabited system with any agricultural capacity grows food locally rather than importing. Only systems without arable land import food, and they pay dearly. This is realistic and creates interesting geographic dependency for bare-rock stations.

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10. Open Questions for Team

1. Lattice material: east_reach anchor or distributed? I've placed it as concentrated with east_reach as the primary. Miri proposed this to close the east_reach economic identity gap. But the location decision affects the entire political economy — if lattice material is east_reach, the east becomes strategically important and Commission attention follows. Team should confirm.

2. Fuel refining yield (8:1) — tunable? The 8:1 water-to-fuel ratio produces fuel at 25T. This makes frontier fuel roughly 3x more expensive than at-source over 10 hops. Is that the right economic pressure? D-183 says we iterate, so the ratio can be adjusted in the stability-check loop.

3. Service count (10): too many for Phase 2? The lead said "more is richer." I've proposed 10 services. For Phase 2 (no player UI), the sim just needs to tick service throughput at each node. The authoring burden is in the corporation TOML: each service-sector corporation needs a service commodity assignment. Is 10 services tractable for the corporation authoring pipeline?

4. Panic mechanism: sim implementation or deferred? The stockpile-target panic mechanism produces realistic hoarding behavior but adds complexity to the tâtonnement. Should it be in the first iteration of the sim binary, or added after the base stability criteria (D-179) are met?

5. Tyre's base_price question: A single equilibrium price IS sufficient for the tâtonnement. The damping parameters (alpha=0.03, beta=0.4) and stability criteria (D-179: +/-5% in 100 days) bound the price without explicit floors/ceilings. The panic mechanism is the only exception — and it's self-correcting.

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Burnelli-Sheldon. Round 2 converged proposal. Ready for lead review.