We make decisions with partial information and shifting constraints. Best-effort reasoning isn’t sloppy—it’s the only thing that scales.
What “best effort” really means
- not half-assed, adaptive
The danger of overfitting decisions to certainty
- fake precision, analysis paralysis
How real systems are built under uncertainty
- budgets, deadlines, incomplete data
Framework for best-effort decisions
- constraints, goals, consequences
Knowing when best-effort is not enough
- safety boundaries, invariants
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