reference-class-forecasting

Base rates improve forecasting by establishing a statistical baseline from a historical reference class before predicting a specific outcome. This framework mitigates overconfidence and inside view bias by ensuring your prediction starts with historical reality rather than optimistic assumptions.

To challenge assumptions of uniqueness, systematically test whether your current situation is truly exceptional or merely appears so. This Skill provides a structured framework to validate reference classes and identify how your specific case compares to historical data.

Funnel probabilities are calculated by modeling multi-stage processes where no single historical base rate exists. This Skill supports breaking down the process into distinct sequential stages and deriving probabilities for each step to reach an overall likelihood.

Outside view forecasting should be used whenever you need to mitigate base rate neglect and prevent this time is different thinking. It is essential for establishing statistical baselines and validating that your chosen reference class is appropriate and data-rich before finalizing predictions.

You validate a reference class by ensuring your chosen comparison set is appropriate and data-rich. This Skill guides you through testing the relevance of historical data sets to confirm they accurately represent the current situation you are forecasting.