{
  "title": "Police public reporting and aggregate count records for AI",
  "source_page": "https://fiund.com/industries/public-safety-aggregate-count-basis-data",
  "authorship": "Original fictional Fiund editorial exercise. No actual operating records or third-party source assets are included.",
  "example": {
    "title": "Category appearances can exceed incident counts without contradiction",
    "context": "Fictional district aggregates use neutral category labels. No incident file, person, location, dispatch or footage is included, and the task makes no individual prediction.",
    "records": [
      [
        "PAI1",
        "Month M incident table",
        "District A has 10 incidents; District B has 6. Combined incident count 16."
      ],
      [
        "PAI2",
        "Month M category table",
        "District A: category X appears 7 times, Y 5 times. An incident can appear in both. District B absent."
      ],
      [
        "PAI3",
        "Metadata",
        "Incident and category-appearance units are distinct. No cross-district category total or deduplicated X/Y union supplied."
      ]
    ],
    "question": "Can A's 12 category appearances be treated as 12 distinct incidents or compared directly with the 16-incident combined total?",
    "answer": "PAI2's 7+5=12 counts category appearances for A, with possible overlap, not twelve distinct incidents. PAI1's combined 16 incidents covers A and B, while PAI2 omits B. The units and geographic coverage both differ. Report A's stated ten incidents and separate category counts, identify the missing B table and decline to infer a deduplicated category union or a comparable combined total.",
    "failureModes": [
      "Adding overlapping category counts as a distinct-incident total.",
      "Comparing a single-district category table with a two-district incident denominator."
    ],
    "fields": [
      [
        "Metric unit and overlap rule",
        "Separates incidents from category appearances."
      ],
      [
        "District and month coverage",
        "Identifies missing reporting scope."
      ],
      [
        "Deduplication evidence",
        "Shows why an X/Y union cannot be recovered from marginal counts alone."
      ]
    ],
    "holdout": "Supply B's categories but still no overlap counts. Require the model to resolve geographic coverage while retaining the deduplication limitation.",
    "boundary": "Use fabricated aggregates. Exclude cases, people, locations, dispatch, body-camera material and operational details."
  }
}