For years the target point bias was an open secret in the CARLA end-to-end driving community: the best driving policies scored well in part by steering toward the next GPS waypoint rather than by understanding the traffic and road layout around them. CARLA, the most established simulator for autonomous driving, has long served as the initial proving ground where new self-driving ideas are validated before the industry takes them up. However, the target point, which is intended as a proxy for a coarse GPS-based navigation system in the simulator, is in practice implemented as a precise coordinate along the lane center and provided as an input signal to end-to-end driving policies, enabling shortcut learning.