<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>RGGI Leakage Monitor — Under Audit</title><meta name=viewport content="width=device-width,initial-scale=1"><style>body{margin:0;background:#0d1117;color:#e6edf3;font:16px/1.6 -apple-system,BlinkMacSystemFont,Segoe UI,Roboto,sans-serif;padding:60px 24px;}.wrap{max-width:680px;margin:0 auto;}h1{color:#d29922;font-size:28px;margin:0 0 16px;}.box{background:#161b22;border:1px solid #d29922;border-radius:8px;padding:20px;}p{margin:10px 0;}strong{color:#d2a8ff;}a{color:#58a6ff;}</style></head><body><div class=wrap><h1>RGGI Carbon Leakage Monitor</h1><div class=box><p><strong>Status: Offline for methodology audit and fixes.</strong></p><p>An external audit by independent AI reviewers (OpenAI GPT-4o, Anthropic Claude Sonnet 4.5, Google Gemini 2.5) flagged several methodological flaws in the v0.1 model published earlier today, including:</p><ul><li>Treating ISO-NE states (CT, MA, ME, NH, RI, VT) as PJM compliance states</li><li>Greedy merit-order without PJM transmission constraints / LMP differentiation</li><li>Heat-rate derivation biased toward high-load operating samples</li><li>Calibration asymmetry between with-RGGI and without-RGGI scenarios</li></ul><p>The dashboard is being rebuilt to address these issues. We will republish only when the corrected analysis can stand independent review.</p><p>Built by <a href="https://alphainception.com">Alpha Inception</a>.</p></div></div></body></html>