This commit is contained in:
2026-04-30 15:14:54 -04:00
parent 46542f8d3c
commit e4521f7562

View File

@@ -1,106 +0,0 @@
# CORPUS-0007
## Information Arrives Unevenly
### Status: Training Corpus Seed
### Layer: Layer_0--Primitive_Facts
### Purpose: Teach that actors do not receive the same facts at the same time
### Repository Path: docs/training/corpus/Layer_0--Primitive_Facts/CORPUS-0007-information-arrives-unevenly.md
---
## 0. Principle
Information does not arrive everywhere at once.
A trader, buyer, porter, clerk, and official may all know different parts of the same event.
The actor who hears useful information earlier may act before prices, queues, or expectations adjust.
---
## 1. Roman-Visible Example
A timber barge is delayed on the river.
The towmen know first.
A dock worker hears next.
A trader with a riverfront contact hears before the market.
A carpenter across town hears later.
A buyer in Capua may hear much later.
The event is one event.
Knowledge of the event spreads unevenly.
---
## 2. Minimal Information Structure
Information timing depends on at least:
1. where the event occurred
2. who saw it
3. who can carry the report
4. who trusts the source
5. how far the information must travel
6. whether anyone benefits from delay or concealment
7. whether visible signals confirm the report
Information has a route just as goods do.
---
## 3. Incorrect Modern Assumption
Incorrect assumption:
> Once something happens, everyone relevant knows it.
Correction:
> Events occur before they are widely known. Different actors learn at different times and with different confidence.
---
## 4. Simulation Use
This principle supports:
- rumor systems
- delayed price reactions
- asymmetric opportunity
- messenger value
- local knowledge advantage
- stale reports
- hidden scenario states
- actor-specific perception
The model should not give every actor perfect information when an event occurs.
---
## 5. Canonical Test
If the model sees:
> A fire damaged a workshop in Ostia.
It must ask:
- who saw the fire?
- who has confirmed the damage?
- who has only heard rumor?
- when does Capua learn?
- who benefits before the news spreads?
- who still acts on old prices?
- who may conceal or distort the report?
Only then can the information effect be understood.
---
## 6. Success Condition
If the model stops treating facts as instantly shared and starts tracking who knows what, when, and with what confidence, this file is functioning correctly.