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Evidence · 6 min

Evidence, uncertainty and responsible interpretation

Learning objective

Read status labels and avoid common misreadings.

Labels include SOURCE VERIFIED, VALIDATED, DERIVED, ESTIMATED, MODELLED, DEMO, UNDER REVIEW and MISSING. Missing is not zero; correlation is not causation; growth does not automatically improve welfare.

Use the Policy Advisor critically

Name the country and ask a specific question. Inspect the cited evidence, source years and assumptions; use Challenge mode to explore objections. Real AI rewrites the sourced tool evidence, and a standard answer is used if AI is unavailable. It cannot establish causation or guarantee a policy outcome. Ask what missing information could change the advice, then compare it with your Planner and local feasibility work.

Separate verification from validation

A published input may be source-verified while a model using it remains unvalidated. Look for the model’s validation record and scope. A narrow validation does not establish that every country, scenario or policy is validated.

Step by step

  1. 1
    Open Data & sources and look at the data quality table. Open →
  2. 2
    Check Data connectors to see which sources are live or blocked. Open →

Check your understanding

Optional and not scored — pick an answer to see the explanation.

A figure is labelled MODELLED. What does that mean?
A grant stage shows MISSING. How should you read it?
A province has a Division of Revenue Act allocation for a grant. Does that show the money was paid or received?
The resource-allocation engine shows an available envelope. Can the council spend it tomorrow?
A Scenario Lab package shows employment rising 2% by year 5. What is that?
Open sources & evidence