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The root calculation for the Huber location estimator givesSince $|{\psi }_b(z)|\le b$ and equality is attained for $|z|\ge b$, its gross-error sensitivity isThus it is a B-robust estimator at the normal reference distribution. At a general centred distribution the same conclusion requires $m={\mathbb{E}}_F{\psi }_b^{\prime }(X)>0$, in which case the bound is $b/m$. Boundedness of the score alone does not rescue a zero sensitivity denominator.

The normal location score is $x-\theta$. Under a bound on gross-error sensitivity, the variance-minimizing influence curve clips this score. For $b>0$, define the Huber scoreThe optimal B-robust estimator is the Huber location estimator ${\hat{\theta }}_b$ defined byEquivalently, it has the explicit optimization formwhere the Huber loss isAt $N(\theta ,1)$ its normalized influence function is