 The version of Bayes’ theorem considered so far is informationally demanding since the law of total probability—which spells out \(\Pr(E)\), the denominator in the Bayes factor \(\slashfrac{\Pr(E \pmid H)}{\Pr(E)}\)—requires one to consider \(H\) and the catch-all alternative hypothesis \(\neg H\), comprising all possible alternatives to \(H\). A simpler version of Bayes’ theorem is the so-called odds formulation: