Data and Code for Evidential Proximity Conflict: A Legal Evidence Theory Developed from the Historical Keshan Disease Case

The study further develops the concepts of <b>Evidential Swamping</b>, the <b>Proximity Challenge Rule</b>, and the <b>Bridge Saturation Principle</b>, and examines their applicability beyond the originating historical case through comparative legal analysis.</p><p dir="ltr">The repository includes comparative coding of 32 judicial decisions and a 600-case synthetic simulation across four legal domains. These materials are used to examine the structure and implications of the theory rather than to claim that the historical Keshan disease case itself establishes a universal rule.</p><p dir="ltr">All simulated observations are entirely synthetic and do not represent actual litigants, judicial decisions, court outcomes, or estimates of real-world judicial error rates.

The comparative case-law dataset is a purposive doctrinal stress test rather than a representative or statistically sampled dataset of judicial decisions.</p><p dir="ltr">The repository is provided to support transparency, reproducibility, and further research on legal evidence, causal inference, expert evidence, and the relationship between general causal evidence and individual-level proof.</p>