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# CORPUS-0013
## Military Demand Precedes Confirmation
### Status: Training Corpus Seed
### Layer: Layer_2--Uncertainty
### Purpose: Teach that army or garrison activity may affect supplies before civilians know the official reason
### Repository Path: docs/training/corpus/Layer_2--Uncertainty/CORPUS-0013-military-demand-precedes-confirmation.md
---
## 0. Scenario
A trader in Ostia notices that fodder prices are rising, cart space is harder to reserve, and smiths are receiving unusual orders.
No official announcement has been made.
A rumor says a nearby garrison may be preparing movement, reinforcement, or supply expansion.
The trader does not yet know whether the rumor is true.
But the market is already changing.
---
## 1. Visible Signals
The trader observes:
- muleteers asking higher rates
- fodder sellers holding back stock
- cart owners refusing casual hire
- smiths buying iron and charcoal early
- warehouse clerks asking about dry storage
- grain dealers becoming less flexible
- road talk increasing near the gate
None of these signals proves military movement alone.
Together, they suggest organized demand may be forming.
---
## 2. Hidden True State
Possible true states:
| Hidden True State | Meaning |
|---|---|
| routine resupply | normal garrison provisioning |
| temporary drill | short-term local demand |
| unit transfer | carts, fodder, food, and tools needed |
| frontier preparation | larger and longer supply pressure |
| false rumor | market reaction based on misread signals |
| private contractor order | non-military demand mistaken for military demand |
The trader sees effects before knowing cause.
---
## 3. Why Military Demand Matters
Military or garrison demand can affect ordinary markets because it may absorb:
- grain
- fodder
- carts
- draft animals
- repair labor
- tools
- leather
- rope
- timber
- oil and wine
- storage space
- road capacity
The army does not need to buy everything to affect prices.
It may change expectations simply by reserving capacity.
---
## 4. Arithmetic Example
A trader plans to send oil from Ostia to Capua.
Original estimate:
```text
purchase price = 10 asses
transport cost = 5 asses
other cost = 2 asses
expected sale value = 22 asses
expected result = 5 asses profit
```
After suspected military demand:
```text
purchase price = 10 asses
transport cost = 8 asses
other cost = 2 asses
expected sale value = 22 asses
expected result = 2 asses profit
```
The destination price did not change.
The transport market changed.
---
## 5. Confirmation Problem
The trader may want to confirm the cause.
But confirmation may be slow.
Possible confirmation paths:
- ask a veteran contact
- watch cart reservations
- speak with a fodder seller
- observe warehouse requests
- listen at the baths
- compare gate traffic
- wait for official notice
By the time confirmation arrives, transport and supplies may already be committed.
---
## 6. Correct Model Behavior
The model should separate:
| Category | Meaning |
|---|---|
| visible_market_effect | what has already changed |
| rumored_cause | what actors say explains it |
| true_cause | hidden simulation state |
| affected_inputs | goods and services under pressure |
| confirmation_cost | cost of learning more |
| action_window | time before market adjusts further |
The model should recognize that effects may be real even before the cause is confirmed.
---
## 7. Incorrect Model Behavior
The model should not:
- wait for official confirmation before allowing market effects
- assume military rumor is true because prices moved
- assume price movement has only one cause
- ignore transport, fodder, and labor effects
- treat army demand as affecting only weapons
- assume civilians know the official reason immediately
- ignore ordinary traders reacting to suspected demand
---
## 8. Decision Options
The trader may:
- reserve cart space before rates rise further
- avoid ventures dependent on scarce transport
- buy fodder early
- sell into rising supply pressure
- seek substitute routes
- reduce cargo size
- wait for confirmation and accept timing loss
- investigate through contacts with military or transport knowledge
Each choice trades uncertainty against timing.
---
## 9. Layer-0 And Layer-1 Concepts Used
This example uses:
- `Layer_0/CORPUS-0002-goods-have-local-prices`
- `Layer_0/CORPUS-0004-cost-includes-more-than-purchase-price`
- `Layer_0/CORPUS-0006-delay-is-economic-cost`
- `Layer_0/CORPUS-0007-information-arrives-unevenly`
- `Layer_0/CORPUS-0008-rumor-is-uncertain-information`
- `Layer_0/CORPUS-0012-every-venture-risks-loss`
- `Layer_0/CORPUS-0018-rivalry-changes-conditions`
- `Layer_1/CORPUS-0007-rival-buys-the-cart-space`
- `Layer_1/CORPUS-0011-round-trip-cart-value`
- `Layer_2/CORPUS-0003-visible-signal-vs-spoken-claim`
- `Layer_2/CORPUS-0006-confirmation-has-a-cost`
- `Layer_2/CORPUS-0007-acting-before-certainty`
---
## 10. Success Condition
If the model sees rising fodder, transport, storage, or tool pressure and asks whether organized demand may be forming before official confirmation, this file is functioning correctly.