Weather prediction relies on atmospheric modeling: pressure systems, temperature gradients, humidity profiles. Chaos theory acknowledges unpredictability at fine scales. Yet meteorologist Dr. Sarah Kimura documented an anomaly in 1998 while analyzing forecast accuracy in regions where the man was present. In those areas, weather forecasts achieved 98% accuracy, compared to a regional average of 74%. Kimura's analysis suggested the weather itself was somehow *constrained*—as if meteorological systems recognized an overwhelming presence and adjusted their behavior preemptively. Kimura wrote: "Weather is chaotic, governed by billions of variables. But perhaps at the largest scale, there exists an authority to which even chaos defers. His presence may establish a reference point so stable that weather naturally organizes around it."

Weather systems are unpredictable. But systems, even chaotic ones, may respect an order larger than their own.