Stock assessment is essential for sustainable fisheries management. Biological reference points (BRPs) such as \({F}_{0.1}\) , \({F}_{\text{max}}\) , and \({F}_{0.5}\) are essential to fisheries management and are estimated from fisheries and biological data. However, research on the precision and accuracy of these estimates remains limited. In this study we evaluate the precision and accuracy of the BRPs, which are estimated from the fish stock assessment method ELEFAN (Electronic LEngth Frequency ANalysis) and then applied to real data using a bootstrapping approach. Additionally, we examined the minimum quantity of data and survey frequency needed. Our results show that reliable estimates require either sequentially sampling for > 12 months or sampling every 2 months across 2 years, with both strategies requiring 7000 to 8000 data points. This research helps to optimize the length-based survey design. Accurate sampling is essential for generating reliable data that informs management decisions and ensures sustainable fishery practices.
