Much research on the law and policy of algorithms has focused on ways to detect or prevent algorithmic misbehavior or mistake. However, there are also problems that result when algorithms perform their assigned tasks too well rather than too poorly. This presentation makes the case that significant individual harms and social welfare losses alike can and do occur in the face of the ever more common phenomenon of the too accurate algorithm. The recognition of algorithmic performance as a factor that can produce harm is an essential step towards better design of and regulation for algorithmically-driven technologies. Technologists and lawmakers alike should account for such accuracy harms in ongoing reform efforts to protect consumers and other vulnerable decision subjects in our increasingly algorithmic society.