OnCo
ideasIdea

An open forecasting tournament on which combination trials will succeed

Ask experts and models to predict, in public, which registered combination trials will meet their endpoint. Track who is right, and use the best forecasters to decide what to fund.

Forecasting tournaments (Good Judgment Project, the replication-prediction markets in psychology) show that aggregated, scored predictions outperform committees. Applying this to registered oncology combination trials would create a calibrated prior for each combination, expose which mechanistic arguments actually predict success, and give funders a quantitative tool for prioritisation.

Hypothesis
Aggregated tournament forecasts will discriminate successful from failed combination trials with an area under the curve above 0.75, better than expert panels or sponsor stage-gates.
Rationale
Replication prediction markets forecast which psychology findings would replicate with roughly 70% accuracy. Trial outcomes are similarly forecastable from design, prior data and sponsor behaviour.
What would test it
Run a two-year tournament on 100 registered phase 2 and 3 combination trials with readouts due; score Brier and discrimination against outcomes.
Maturity
speculative
Who has to act
data
Cost to try
Small (under $1M)
Years to first evidence
2
Bottlenecks it attacks

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