Permanence Illusion

Definition:
A temporary condition is incorrectly treated as a stable or long-term state.

Signal:
The model assumes continuity without testing reversal scenarios.

Rule:
If stability is assumed → test for change before committing.

Test:
If a condition is extrapolated without reversal testing AND volatility is ignored → this is Permanence Illusion.

Entries

Key Difference:
Permanence Illusion is an assumption error, while Distorted Signal is a data error.

Boundary:
If stability assumption is wrong → Permanence Illusion.
If data input is wrong → Distorted Signal.

This crux belongs to:

→ The Decision Ledger