x1=s1 is evidence for x2=k2 with evidence strength x3=s3=p1 (numerator x4=p2, denominator x5=p3, believer x6=k1, new odds x7=k3, old odds x8=s2); x1 is Bayesian evidence for belief / prediction / hypothesis x2, with evidence magnitude / strength (and direction), as a likelihood ratio as odds, x3 since the hypothesis predicts the evidence to degree / with probability x4 and since not-hypothesis predicts the evidence to degree / with probability x5, updating x6's belief strength / odds / confidence to posterior odds / new confidence x7 from prior odds / old confidence x8; x1 is evidence for x2 with evidence strength and direction x3 due to how much better (or worse) the hypothesis predicts the evidence (amount x4) than not-hypothesis predicts the evidence (amount x5), according to knowledge / truth / subjective probability judge / assigner / evaluator x6, who after accounting for the evidence has odds in the hypothesis x7 after prior odds x8.