Which method is least likely to be used for detecting insurance fraud?

Relying solely on applicant honesty is the least likely method used for detecting insurance fraud because it places a significant amount of trust in the applicant's self-reported information without any verification or supporting evidence. Since individuals might intentionally misrepresent their information or omit key details to secure better premiums or coverage, this approach can lead to fraudulent activities going undetected.

In contrast, other methods such as data mining for patterns of inconsistency, implementing random audits of applications, and cross-verifying data with external sources involve systematic processes for evaluating and validating information. These techniques help identify discrepancies and suspicious patterns that could indicate fraudulent behavior, making them more effective in fraud detection compared to simply depending on the honesty of the applicant.