The Debris Section manually retrieves space garbage because early-2000s Japan had just watched its own algorithmic confidence collapse.

The burst bubble economy was supposed to be managed by sophisticated financial models—it wasn't, and by 2003, when Planetes aired, engineers across Japan were rebuilding institutions around the assumption that prediction fails at scale.

Watch the actual retrieval sequences. Haro and Yuri don't use computational targeting that calculates debris trajectories — they use visual judgment, trajectory intuition, and what amounts to educated guessing, and the show renders this as competence, not limitation.

In the show's logic, a human in an EVE suit reading tumble-spin and approach vector by eye is *more reliable* than a ground-based system that claims to model the debris field. The production design makes this explicit: the Debris Section's equipment is deliberately low-tech for its setting — no AI copilot, no predictive algorithms mapping the debris cloud, just suit thrusters and human decision-making. Planetes never shows a computational failure that forces manual retrieval; it shows the reverse — a world where organizations have *chosen* manual retrieval because they don't trust the alternative.

This reflects a specific historical moment: Japan's shift from faith in systematic optimization to skepticism about whether complex systems can be modeled at all, and the show's architects built that skepticism into the infrastructure itself — chaos management became a labor practice, not a prediction problem.