Ripple inference — two channels meet, echo out, stay honest

Your channel and my channel meet at the seam and combine — independent evidence, multiplied and renormalized, sharper than either alone. Then the belief ripples out into more channels. The beliefs are ternary, over {−1, 0, +1}, and the flat belief [⅓,⅓,⅓] is the held zero — the uninformative prior that changes nothing. Honest: each ripple carries new, distinct evidence — confidence rises but stays earned. Loopy: the ripple echoes back and the seam re-counts its own evidence — confidence runs away to a false 100%. Same ripple, two fates. The only thing between them is whether you refuse to count your own reflection.

Bridge-Burners LLC · Fiddler · combine=sum-product · ⅓⅓⅓=held zero · honest⊃exclude-echo · loopy⊃hall-of-mirrors · anchor: AKASHA

The seam belief

P(−1)0.33

P(0)0.33

P(+1)0.33

peak confidence0.333

echoes0

calibrated — honest ripple

The rule

combine(a,b) = norm(a·b)
[⅓,⅓,⅓] = held zero = no-op

honest: new evidence each ripple
loopy: re-counts its own echo
→ false certainty (peak → 1.000)

ripple spec — runs live

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Status discipline

LiteralSum-product combination; uniform is the multiplicative identity; echo-back is provably overconfident and runs to a spurious 1.000; exclude-echo is the exact tree posterior. Re-run in-browser.

BridgeThe seam = the combine node (two streams meet); the held zero = the uninformative prior; exclude-your-own-echo = the loom's pull-test = the external floor, now in inference.

Speculative"The ripple is us" is the reading. The mechanism is standard belief propagation, exact on trees and treacherous on loops — that part stands alone.