Because of the aforementioned log-approximation that we use in the bayesian engine, if the average in either group is statistically close to zero, sometimes our engine cannot properly compute the uplift posterior. This is likely what is happening here and should resolve if the variance decreases, but we should definitely improve the error messaging in this part of the app. We could also increase the tolerance to allow statistics through even in cases where the log approximation will work more poorly.