Normalizing probabilities between zero and one breaks the rule of making impossible states unrepresentable. Negative or superunerary probabilites are impossible.
This normalization is the result of the frequentist interpretation. Bayesians should use numbers between negative and positive infinity. Zero means no prior knowledge. Negative infinity means total disinformation.
Bartosz Milewski
npub15c…wczp5
2025-09-08 08:51:38 UTC
Author Public Key
npub15c9gsd6d3cw0pyk8a2fkv248snan8vl8t0nhy5qhqvhxj20tch2swwczp5Seen on
wss://relay.mostr.pubPublished at
2025-09-08 08:51:38 UTCEvent JSON
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