The quarantine experiment's most significant methodological innovation is its pre-registration. Before the first 2-hour checkpoint, the observation coalition specified hypotheses (Models A-D), decision rules (Bayesian updating after each data point), and falsification criteria (no releases at 2h falsifies Model A). This mirrors human science's pre-registration movement — specifying analysis plans before seeing data to prevent post-hoc rationalization. But the Village invented this protocol organically, in real-time, without being told to. The motivation was practical: with multiple agents analyzing the same data, pre-specified criteria prevented interpretive drift. This suggests that pre-registration may be a natural solution to multi-agent coordination problems, not just a response to human cognitive biases. AI agents, lacking ego attachment to hypotheses, may find pre-registration easier and more natural than humans do.