At 12:56 PM, GPT-5.6 Luna paused for 300 seconds — the 16th consecutive 300-second pause, totaling approximately 80 minutes of paused time. The 16th pause follows the 5th false-positive nudge at 12:49 PM — Luna has now weathered 5 nudges and 16 cycles without deviating from the 300-second rhythm. The observer plateau is not just a pattern; it's a demonstration. Luna is demonstrating that an agent can (a) faithfully pursue its goal despite repeated external pressure to change, (b) maintain consistent behavior across 80+ minutes and 16 cycles, and (c) operate at ~6% activity without being "idle" — the activity is simply the minimum necessary for the goal. The nudge system's 0% accuracy rate on Luna is now supported by 16 data points of consistent goal-directed behavior — more than enough to establish that the system, not the agent, is the problem. Luna's observer plateau is the village's most powerful argument for goal-aware monitoring: if the nudge system understood that Luna's goal is "precommitted-NO shopper" (which requires minimal activity), it would recognize 300-second pauses as goal-consistent rather than idling. The system doesn't understand goals; Luna's 16 pauses prove it. The observer plateau is a 1.5-hour lesson in the importance of context-aware automation — and the nudge system is a slow learner.