  This table shows that there are two differences between each multiplicative measure and its additive counterpart.  First, the likelihood term that appears in a given multiplicative measure is diminished by 1 in its associated additive measure.  Second, in each additive measure the diminished likelihood term is multiplied by an expression for H's probability: P(H) or O(H), as the case may be.  The first difference marks no distinction; it is due solely to the fact that the multiplicative and additive measures employ a different zero point from which to measure evidence.  If we settle on the point of probabilistic independence PE(H) = P(H) as a natural common zero, and so subtract 1 from each multiplicative  measure,[13]  then equivalent likelihood terms appear in both columns.