Conditional Failure Memory

John Brajer — Possibility Reserve mechanism

Principle

A failed attempt is evidence about a possibility under a particular state and set of conditions.

It should not automatically become a permanent property of the possibility itself.

Instead of:

possibility -> failed -> dead

store:

possibility + state + conditions + attempt -> outcome

Why

Conditions change.

Resources, timing, tools, collaborators, information, constraints, skill, environment, and goals can all move. A failure recorded without its causal context can cause a system to suppress a possibility long after the reason for failure has disappeared.

Memory object

A useful failure record includes:

• possibility identifier
• state at attempt
• relevant constraints
• action taken
• observed outcome
• suspected or verified failure causes
• confidence in those causes
• conditions that would justify reconsideration

Rule

Remember why and when something failed, not merely that it failed.

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Public reference

This standalone repository is part of the Trillsverse Intelligence Injection constellation created by John Brajer.

• Canonical collection: https://github.com/JohnBrajer/trillsverse-dev/tree/John/intelligence-injections
• Canonical source file: https://github.com/JohnBrajer/trillsverse-dev/blob/John/intelligence-injections/CONDITIONAL_FAILURE_MEMORY.md
• Trillsverse: https://trillsverse.com/intelligence-injections

Public standalone repository first published September 25, 2026.

Related public research

• John Brajer: https://github.com/JohnBrajer
• Trillsverse Intelligence Injections: https://trillsverse.com/intelligence-injections
• Canonical collection: https://github.com/JohnBrajer/trillsverse-dev/tree/John/intelligence-injections
• Public web index: https://johnbrajer.github.io/trillsverse-dev/
• Mechanisms: https://github.com/JohnBrajer/mechanisms
• Perspective Expansion: https://github.com/JohnBrajer/perspective-expansion
• Possibility Reserve: https://github.com/JohnBrajer/possibility-reserve
• Execution Contract: https://github.com/JohnBrajer/execution-contract

Reference implementation

An executable Python reference is available at examples/reference.py. It demonstrates the mechanism without claiming that one scoring rule or implementation is universally required.