Evidence-based property data, explained
A number without a source is a rumor. Evidence-based property data attaches provenance, confidence, and an expiry to every fact — so acquisition decisions rest on what's verified, not on what's convenient.
The problem with a bare number
Suppose a record says a building is 48,000 square feet. Can you act on it? Not yet. You don't know where the figure came from, how reliable that source is, or whether it's current. In acquisition research, a fact without that context is indistinguishable from a guess — and guesses compound into expensive mistakes.
Evidence-based property data solves this by treating every claim as a piece of evidence rather than a settled truth. Three attributes travel with each fact.
The three attributes of a claim
- Provenance. Which source produced the claim, which record it came from, and when it was captured. Provenance makes a fact traceable and, if necessary, contestable.
- Confidence. How strongly the evidence supports the claim. A county assessor record and a loosely scraped listing should not carry equal weight, and confidence grading keeps them distinct.
- Expiry. When the claim should be treated as stale. Ownership changes; permits are issued; distress resolves. A fact that was true last year may mislead today.
Three honest states, not one
Because facts are graded, a field can occupy one of several honest states rather than pretending to be settled. It can be verified (supported by current, sufficiently confident evidence), in conflict or expiring (sources disagree or the claim is aging), or unknown (shown plainly as unknown, never fabricated). The unknown state is the one most systems get wrong: it's tempting to fill a gap with a plausible value, but doing so quietly launders a guess into a fact.
Conflicts should be surfaced, not resolved silently
When two sources disagree, the wrong move is to pick one and hide the other. Evidence-based systems surface the disagreement, with both sources and their confidence levels, so a human can adjudicate. Silent resolution destroys exactly the information an analyst needs to judge risk.
Sufficiency gating
Evidence grading also enables a discipline we call sufficiency gating: an opportunity is only promoted to an analyst's queue when it has enough verified, current, confident claims to justify a person's time. Thin or contradictory records stay out of the way until they earn their place. This keeps attention on opportunities the data can actually support.
Why this is a competitive advantage
Bad data is more expensive than no data, because it produces false confidence. A sourcing function built on graded evidence spends less time chasing phantoms and more time on defensible opportunities — and it can explain, field by field, why it believes what it believes. That explainability is what lets a team bring a shortlist into an investment committee without hand-waving.