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Evidence ledger
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When the next one might land
Official schedule first · historical gaps · conditional ratesOfficial schedules come first. Otherwise we use verified full-reset gaps for a median date and IQR window, then an empirical rate: of historical waits that already lasted this long, how many reset in the next 24/48 hours. Too few samples or noisy gaps → no date. Confidence is capped at 60%. The 24/48h rate is never the homepage hero.
How the model works
We borrow discrete-time survival (willtiboreset) and evidence lineage (codex-reset-forecaster), without community-noise weights and without putting 24/48h probability on the homepage. Official schedules are facts. Statistics use verified full resets only. Conditional rates are shown as k/n so you see the sample, not a marketing percentage.
- A verified official schedule is shown as a landing time, not as a probability.
- Verified full resets merge within 12 hours; we take the median gap and IQR window.
- Conditional rate: of historical gaps that already lasted this long, k/n reset in the next 24/48h. Hidden if n < 3.
- Confidence = (1 − IQR/median) × sample discount, capped at 60%. Too noisy → wait for a post.
Ledger
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