Observation is not prediction
What is measured today can inform but not guarantee tomorrow. We label verified observations, hypotheses, conditional scenarios and scored forecasts differently.
Our forecasts are dated propositions with explicit uncertainty and possible disconfirming evidence.
Scenarios, indicators and claims that can be tested over time. Our purpose is to establish the evidence and questions needed for rigorous coverage, not to imply that a proposed future is inevitable.
What is measured today can inform but not guarantee tomorrow. We label verified observations, hypotheses, conditional scenarios and scored forecasts differently.
A testable forecast needs a resolution criterion, deadline, source, baseline probability and update history. We do not backfill certainty once an event occurs.
We begin with research questions—not invented forecast accuracy statistics. The scoring register becomes operational when dated, measurable forecasts are actually published.
Record forecast statements before resolution, preserve all revisions and evaluate calibration later.
Use these prompts as research questions. We will only call an entry a forecast after publishing a testable statement, due date, resolution source and timestamped probability.
These are starting references for future reporting, not proof that every open question above is resolved.
Edition 1.0 · 9 October 2026. Initial scope and source register created. This brief is a research framework, not a completed investigation; material future corrections should be described rather than silently overwritten.
How corrections are documented ↗