To improve the calculation process of infer consumer trophic position using stable isotope analysis and to reduce the influence of the current methods and sample quality， this paper applied Bayesian mixing model to estimate the trophic position of silver carp （Hypophthalmichthys molitrix） and bighead carp （Hypophthalmichthys nobilis） in Chinese waters from published literature. The results showed that the trophic position of silver carp and bighead carp had no significant correlation with total phosphorus （TP） and total nitrogen （TN） under Bayesian method. Some studies have the limitation of small sample sizes， low sampling frequency， and ignored the seasonal and spatial variations in baseline， thus failing to accurately represent the trophic signatures of target organisms， which may have led to deviation in trophic position estimates. No significant difference between the Bayesian method and the current method indicates that even more accurate models cannot overcomes the limitations of an irrational sampling design. The results of curve fitting show that the Bayesian approach performs more constrained with the sample size ≥6， and the accuracy is improved. Therefore， in the experimental design， we suggest that the sample size should be ≥6， and that seasonal and spatial variations should be considered and avoid single， small collections.