It is merely the most recent approximation of a reality that has already moved on. At 08:12:17 JST, the first notification appeared on Aya Nishimura’s monitoring console. “Magnitude estimate pending. Possible offshore seismic event detected southeast of the Bōsō Peninsula.” The message arrived through an automated earthquake early-warning data feed before any official bulletin had been issued. The waveform had been detected by only a handful of stations. The algorithm assigned the estimate a confidence score of just 0.42. Aya did not panic. As a senior analyst at a catastrophe modeling firm, she knew that the first report was often the least reliable—and paradoxically, the most valuable. Within seconds, shipping insurers adjusted preliminary risk estimates for vessels approaching Tokyo Bay. High-frequency trading systems briefly widened spreads for Japanese reinsurance companies. Logistics software recalculated routes for hazardous cargo. Emergency management...