Uncertainty Is Information¶
Uncertainty is not empty space around knowledge. It is information about the state of inquiry.
QLens should be able to distinguish:
- not yet investigated;
- insufficient evidence;
- conflicting evidence;
- ambiguous interpretation;
- method limitation;
- unresolved scope;
- low-confidence inference;
- genuine indeterminacy.
Collapsing all of these into “unknown” loses important guidance. Conversely, assigning a precise numerical confidence without a defensible method creates false rigor.
The research space should express uncertainty at the level justified by the work. Honest ambiguity is more valuable than decorative precision.