  An item of data provides a subject with incremental evidence for or against a hypothesis to the extent that receiving the data increases or decreases her total evidence for the truth of the hypothesis.  When probabilities measure total evidence, the increment of evidence that E provides for H is a matter of the disparity between PE(H) and P(H).  When odds are used it is a matter of the disparity between OE(H) and O(H). See  Example 2 in the supplementary document "Examples, Tables, and Proof Sketches", which illustrates the difference between total and incremental evidence, and explains the "baserate fallacy" that can result from failing to properly distinguish the two.