 A probabilistic theory of confirmation can be spelled out through the definition of a function \(C_{P}(h, e\mid k): \{\bL^3 \times \bP\} \rightarrow \Re\) representing the degree of confirmation that hypothesis \(h\) receives from evidence \(e\) relative to \(k\) and probability function \(P\). \(C_{P}(h,e\mid k)\) will then have relevant probabilities as its building blocks, according to the following basic postulate of probabilistic confirmation: