22In many forms of motor adaptation, performance approaches a limit at which point learning stops, 23 despite the fact that errors remain. What causes this adaptation limit? Here we found that while reach 24 adaptation exhibited an asymptotic limit, this limit was not fixed: when the variance of the perturbation 25 decreased, the adaptation limit increased, and performance improved. Moreover, the limit could be 26 altered in real-time by changing perturbation variance. The same was true at low reaction times, 27indicating that implicit processes influenced the adaptation limit. Using a mathematical model that 28describes adaptation as a balance between learning and forgetting, we found that participants altered 29 their adaptation limit by changing their sensitivity to reaching errors. Changes in error sensitivity were 30 linked to the consistency of past errors. These observations suggest that during adaptation, time-varying 31 error sensitivities compete with constant forgetting, setting the boundary conditions that produce an 32 apparent limit in total adaptation. 33