In this paper a framework is developed for measuring the complexities of deductions in an ab stract and computationally perspicuous man ner. As a notion of central importance appears the so-called polynomial transparency of a cal culus. If a logic calculus possesses this prop erty, then the complexity of any deduction can be correctly measured in terms of its inference steps. The resolution calculus lacks this prop erty. It is proven that the number of inference steps of a resolution proof does not give a rep resentative measure of the actual complexity of the proof, even if only shortest proofs are considered. We use a class of formulae which have proofs with a polynomial number of inference steps, but for which the size of any proof is exponential. The polynomial intransparency of resolution is due to the renaming of derived clauses, which is a fundamental de duction mechanism. This result motivates the development of new data structures for the rep resentation of lo...