The miscalibration area is significantly lower than for the evidential uncertainties (0.02 vs 0.07). The Var(Z) ? = 1 test is also in agreement with average calibration. Comparing the Z-distribution from the random seed = 42 models (Figures and), we see that in this case the LS Z-errors are in much better agreement with a Gaussian distribution. This explains the better agreement between Var(Z) and A mis since A mis is based on the assumption that errors are Gaussian. Again, the NLL is within one standard deviation of the simulated value, consistent with good overall uncertainties.