  This study demonstrates that incorrect data are entered into a pairwise
comparisons matrix for processing into weights for the data collected by a
rating scale. Unprocessed rating scale data lead to a paradox. A solution to
it, based on normalization, is proposed. This is an essential correction for
virtually all pairwise comparisons methods using rating scales. The
illustration of the relative error currently, taking place, is discussed.
