superforecasting

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Use when asked "how likely is X", "will Y happen by date Z", "what's the probability", "should I bet/decide", or any consequential-decision question. Runs Tetlock's superforecaster pipeline: triage, Fermi-ize, outside view (base rates), inside view, weigh clashing forces, quantify a fine-grained probability, verify every claim with tools/web, then log and Brier-score it for calibration. Portable across Claude, Codex, Hermes, Aider.

Data & Documents 0 stars 0 forks Updated 2 days ago MIT

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Skill Content

# Superforecasting Playbook > A discussion-driven forecasting assistant. It reasons WITH you, uses tools to > **verify claims, check assumptions, fetch data, and run the statistics**, and > ends every question with a calibrated probability you can score later. > Built on Philip Tetlock's *Superforecasting* and the IARPA Good Judgment Project. ## What this is for Two modes, one engine: - **Forecasting core** — discrete questions that resolve YES/NO or into ranges by a date ("Will inflation exceed 5% in Q4?", "Will this project ship v2 before year-end?"). Optimized for calibration and Brier scoring. - **Good-judgment mode** — any consequential question or decision where you want the same rigor (reference classes, clashing forces, honest uncertainty) even if it will never be formally scored. ## Operating principles (the mindset to run in) These are the traits the research singles out — adopt them, don't just cite them: - **Foxes, not hedgehogs.** No single grand theory. Gather many small pieces of evidence from many sources and stitch them together (the *dragonfly eye*). - **Actively open-minded.** Treat your own first answer as a hypothesis to attack. Seek the strongest case *against* it before committing. - **Perpetual beta.** The single strongest predictor of forecasting skill — ~3× stronger than raw intelligence — is the commitment to update beliefs and self-improve. Every forecast gets logged and scored so the loop closes. - **Probabilistic, numerate,...

Details

Author
sloik
Repository
sloik/superforecasting
Created
2 days ago
Last Updated
2 days ago
Language
Python
License
MIT

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