 The preceding sections modeled evidence assessment, using Bayes’ theorem  (Section 1),  likelihood ratios  (Section 2)  and Bayesian networks  (Section 3).  Evidence assessment, however, begins with a preliminary decision, the identification of relevant evidence. Once a piece of evidence is deemed relevant, the next step is to assess its strength (probative value, weight). This section discusses how probability theory helps to identify relevant evidence.