“…The correlation between the sampling rate and the reporting rate is observed to see if the AUC of the sampling rate and the reporting rate is > 0.8 (30,31,32). If an AUC > 0.8 is observed for the sampling rate and the reporting rate, then the sampling rate is a good predictor of the reporting rate, and since the reporting rate is assumed to be the golden standard of "civic honesty", that is, the sampling rate is a good predictor of "civic honesty", which is therefore, it can be proved that hypothesis A is not valid, that is the reporting rate is not the golden standard of "civic honesty", and there is an obvious design flaw in using reporting rate as a single indicator for evaluating "civic honesty" (33,34,35,36,37,38,39,40,41,42,43), which makes the findings in the literatur (5,6) 2, and ROC curves were plotted. The ROC curves were obtained by excluding the data with zero number of categories (e.g., if the Dj was 10% and the number of categories 1 or 2 was 0, then that the data with 10% of categories and the data with AUC confidence interval including 1 (44,45,46,47,48,49,50,51,52) were excluded.…”