  Bayesian inference as applied in a legal setting is about belief transfer and
involves a plurality of agents and communication protocols.
  A forensic expert (FE) may communicate to a trier of fact (TOF) first its
value of a certain likelihood ratio with respect to FE's belief state as
represented by a probability function on FE's proposition space. Subsequently
FE communicates its recently acquired confirmation that a certain evidence
proposition is true. Then TOF performs likelihood ratio transfer mediated
reasoning thereby revising their own belief state.
  The logical principles involved in likelihood transfer mediated reasoning are
discussed in a setting where probabilistic arithmetic is done within a meadow,
and with Adams conditioning placed in a central role.
