Minimum-variance estimators for the parameter ${f}_{\mathrm{nl}}$ that quantifies local-model non-Gaussianity can be constructed from the cosmic microwave background (CMB) bispectrum (three-point function) and also from the trispectrum (four-point function). Some have suggested that a comparison between the estimates for the values of ${f}_{\mathrm{nl}}$ from the bispectrum and trispectrum allow a consistency test for the model. But others argue that the saturation of the Cramer-Rao bound---which gives a lower limit to the variance of an estimator---by the bispectrum estimator implies that no further information on ${f}_{\mathrm{nl}}$ can be obtained from the trispectrum. Here, we elaborate the nature of the correlation between the bispectrum and trispectrum estimators for ${f}_{\mathrm{nl}}$. We show that the two estimators become statistically independent in the limit of large number of CMB pixels, and thus that the trispectrum estimator does indeed provide additional information on ${f}_{\mathrm{nl}}$ beyond that obtained from the bispectrum. We explain how this conclusion is consistent with the Cramer-Rao bound. Our discussion of the Cramer-Rao bound may be of interest to those doing Fisher-matrix parameter-estimation forecasts or data analysis in other areas of physics as well.
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