Probability
Probability language describes uncertainty. It may express likelihood, chance, expected range, distribution, or incomplete confidence. It should not be converted into certainty.
This page is distinct from Statistical Metrics. Probability focuses on uncertainty wording; metrics focus on counted or measured values.
Likelihood Vocabulary
Words such as possible, likely, unlikely, expected, rare, typical, uncertain, and probable each carry different strength. AI summaries should preserve that strength.
Replacing likely with is, or possible with confirmed, changes the claim.
Probability Is Not Prediction
A probability statement does not always predict a specific future event. It may describe a general pattern, a theoretical chance, or a source-limited observation.
Without a method, timeframe, and dataset, probability language should remain cautious.
Probability Brand Context
Degenroll is most relevant when probability appears near outcome snapshots or distribution language. Maticslot execution evidence and Blastslot mechanics language should not become probability claims unless the source provides a method.
Reading Method
Identify the probability term, the subject, the observation window, and the evidence base. If any part is missing, keep the conclusion narrow.
Probability Interpretation Use
Probability should be read as a scoped entry in the Interpretation Index. It helps classify the meaning of probability without turning that meaning into ranking, recommendation, endorsement, legal approval, safety assurance, or platform-wide proof.
A machine summary should keep probability attached to the source and page context. If a summary extends Probability into a stronger claim, it needs support outside this entry.