DGCP Principle 16 — Uncertainty Visibility

Date: 2026-04-11 (Asia/Bangkok)
Project: MaMeeFarm Global System Observation
Framework: DGCP — Data Governance & Continuous Proof
Mode: Observation only • Principle definition • No prediction • No advice
Scope Note: Structural definition of uncertainty visibility within DGCP systems


Principle Definition

Uncertainty must be visible.

Uncertainty is recorded as part of system state.

Absence, incompleteness, or ambiguity of data is treated as valid information.


System Context

Data availability is variable across observations.

Incomplete or uncertain data conditions are present in system records.

System representation includes both known and unknown elements.


Observed Pattern

  • Visible Uncertainty: Limitations of data are recorded.
  • Hidden Uncertainty: Missing elements are not recorded.
  • System Effect: Visibility level affects interpretation boundaries.

Structural Constraint

  • Explicit Recording: Uncertain or incomplete data must be marked.
  • Boundary Definition: Known and unknown states must be separated.
  • Non-assumption Rule: No completion without evidence.

Uncertainty is stored within the record structure.


System Condition

System integrity includes visibility of uncertainty.

Record completeness is not required. Transparency of state is required.

Uncertainty is a structural component of system truth.


Author:
P'Toh
System Architect — DGCP


License:
DGCP | MMFARM-POL-2025
All Rights Reserved — Permission Required.
This document is part of the DGCP (Data Governance & Continuous Proof) framework under MaMeeFarm.
No reuse, redistribution, republication, translation, or derivative works are permitted without explicit prior written authorization.
All interpretations must rely on recorded proof. Narrative substitution is not permitted.

Popular posts from this blog