Intuitive prediction is more reliable in specific domains (such as weather) than prediction based on externally observable patterns.

直觉预测在特定领域（如天气）比基于外在可观测模式的预测更可靠。

Concept intuition · Domain Intuitive–Rational Cognitive Integration · testable prediction · interface 3/3 · testability 3/3 · status untested · ★ fundable

This program treats the Seth Material as a source of hypotheses, not as doctrine to be validated. Lead dossiers are AI-compiled from the corpus with a book-and-session citation after every statement; literature reviews are AI web-search summaries whose references were all DOI-verified against Crossref; the agenda draft is an AI synthesis. None of it is Seth's original text, and none of it represents scientific consensus. English fields are machine-translated; the Chinese text is authoritative.

Seth sources (book §session)

personal-sessions-3 §?

Adjudicating experiment

Approximately 150 self-identified trained intuitives, 150 ordinary participants, and 50 weather forecast professionals are recruited to make continuous predictions for approximately 100 pre-registered stations over 12 months, covering all seasons. Locked 24-hour, 72-hour, and 7-day precipitation probabilities and temperatures are compared with climatology, persistence forecasts, and contemporaneous operational numerical or ensemble forecasts; two conditions are set: no access to target station data, and all participants receiving the same data, with personal prior location knowledge recorded. Brier scores, continuous ranked probability scores, and temperature errors are used; correlations are handled by weather system and time block, with no post hoc selection of winning stations or lead times.