This paper studies whether human decision-makers can improve on algorithmic recommendations, in the setting of bail decisions in the criminal justice system. Bail judges receive recommendations from predictive algorithms and can choose to confirm or override them. The paper finds that most judges do not add value beyond the algorithm, although a minority do.