Structural Error = Local Closure + Use Beyond Valid Scope + Excluded D4/D5 Dependency + False Sufficiency.
This release defines a structural audit framework for detecting when incompleteness is falsely treated as real-world sufficiency.
Core claim
A theory, model, AI answer, protocol, plan, or decision is not structurally wrong because it is incomplete.
It becomes structurally wrong when its incompleteness is treated as real-world sufficiency for an actual use that requires excluded dependencies.
Partiality is not the error.
False sufficiency is the error.
Operational formula
Structural Error =
Local Closure
- Use Beyond Valid Scope
- Excluded D4/D5 Dependency
- False Sufficiency
Compact form:
SE(x) iff LC(x) and UBVS(x) and ED_D4/D5(x) and FS(x)
Where:
- LC = Local Closure
- UBVS = Use Beyond Valid Scope
- ED_D4/D5 = Excluded D4/D5 Dependency
- FS = False Sufficiency
What this release provides
This release contains the first clean operational version of LAW-OF-TOTALITY as a Structural Error Audit Framework.
It includes:
- the threshold operational version;
- the theory-to-reality bridge;
- validation cases;
- comparison with existing frameworks;
- critical dependency taxonomy;
- falsification and limits;
- reusable audit template;
- compiled example audits.
Use
Use this framework to test whether a local model, theory, AI output, protocol, or plan is being treated as sufficient outside its valid scope.
The framework does not claim that incomplete models are wrong.
It detects when incomplete models are falsely used as sufficient.
Status
This is the first clean stable release after earlier tag/release iterations.
Use this release as the public reference version:
https://github.com/Tuttotorna/LAW-OF-TOTALITY/releases/tag/v0.1.3
Repository:
https://github.com/Tuttotorna/LAW-OF-TOTALITY
Challenge
Do not agree with it.
Break it.
Show one of these:
- a false positive;
- a false negative;
- a wrongly classified D4/D5 dependency;
- a case where the framework adds nothing to existing frameworks;
- a case where the audit cannot produce a disciplined verdict.