AI Rechecks Heat‑Economy Claims

Researchers and commentators are increasingly using large language models (here, Claude 4.7) to reanalyze empirical claims — for example, a linked note reports 'No detectable economic effect of extreme heat after correcting for dependence' with analysis produced by an AI. That practice can surface coding/robustness issues quickly but also risks over‑reliance on opaque model judgments. — If AI tools become a routine step in reanalyzing policy‑relevant empirical claims (climate impacts, public health, education), they will reshape who verifies evidence and how much trust the public places in statistical conclusions.