FINVECTOR · DATA QUALITY AUDIT · NOTE 08

Missing access data should not become a zero

A ranking example that distinguishes unknown evidence from negative evidence and shows the reweighting arithmetic.

SOURCE SNAPSHOT

Start with provenance and source scope.

INPUT AND EVIDENCE LEDGER

Classify every field before using it.

FieldValueOrigin
WeightsStocking 35; habitat 25; access 15; weather 15; distance 10Illustrative model
Candidate scores80, 72, unknown, 90, 60Illustrative normalized inputs
Missing componentAccessNo reliable public evidence
Unknown policyReweight known componentsDeclared model rule

REPRODUCIBLE WORK

Run the quality-control chain.

CheckFormula or ruleResult
Known weighted sum80×35 + 72×25 + 90×15 + 60×106,550 weighted points
Known weight35 + 25 + 15 + 1085
Reweighted score6,550 ÷ 8577.1 / 100
Confidence labelOne decision layer missingScore shown with access unknown

DECISION READING

The audit finding.

Assigning zero would falsely claim poor access; assigning a neutral value would invent evidence. Reweighting preserves the known comparison while a separate confidence label exposes the missing layer.

HUMAN ACCOUNTABILITY + AI USE RECORD

The owner is accountable; the technical checks were AI-assisted.

The TOOOLBOX site owner authorized the publication scope and remains the correction contact. AI assistance was used for drafting, implementation, arithmetic recomputation, and source-link checks. This record does not claim line-by-line human fact-checking or licensed professional review.

Record ID
TB-FINVECTOR-08-20260906
Owner role
TOOOLBOX site owner and developer
Technical check date
2026-09-06
Human fact-check
No separate human fact-check recorded
AI use
Drafting, code, arithmetic, and link checks
Correction channel
Public contact page
  1. Recomputed the 6,550 weighted points, 85 known weight, and 77.1 normalized score.
  2. Confirmed that unknown access is neither assigned zero nor replaced with invented neutral evidence.
  3. Preserved the separate option to withhold a candidate when access functions as a mandatory safety gate.

BOUNDARIES

What passed data checks still cannot prove.

  • The weights and component scores are illustrative, not a live recommendation.
  • A high score does not establish legal public access.
  • Unknown data must be verified with the responsible land or wildlife agency.

SENSITIVITY

Failure modes to retest.

  • If access is a mandatory safety gate, the candidate can be withheld instead of merely reweighted.
  • More missing layers should lower confidence even if the normalized score stays high.
  • Weights should be visible because changing them can reorder candidates.

MORE FINVECTOR DECISION NOTES

Test the result yourself.

This note preserves a dated calculation. Change the inputs in the live workspace, or compare another evidence pattern below. Live source availability and results can differ from the dated example.