The mean of an unknown variance-$\sigma^2$ distribution $f$ can be estimated
from $n$ samples with variance $\frac{\sigma^2}{n}$ and nearly corresponding
subgaussian rate. When $f$ is known up to translation, this can be improved
asymptotically to $\frac{1}{n\mathcal I}$, where $\mathc