Principlev1
Make predictions specific enough to score objectively rather
Make predictions specific enough to score objectively rather than vague enough to be unfalsifiable.
Why This Is a Principle
This principle derives from Hindsight Bias and Calibration Necessity (hindsight bias makes genuine learning impossible without external calibration) and Illusion of Explanatory Depth (self-assessment is unreliable until forced to articulate). It prescribes that predictions must be falsifiable to provide genuine feedback. The distinction between 'the project will go well' versus 'the project will ship by March 15' is the operationalization of this principle.