A simple probabilistic programming language for intuitive quantitative estimation, developed by QURI to make Fermi-style cost-effectiveness and uncertainty modeling more accessible.
Endorsements made here support Quantified Uncertainty Research Institute.
A simple probabilistic programming language for intuitive quantitative estimation, developed by QURI to make Fermi-style cost-effectiveness and uncertainty modeling more accessible.
Endorsements made here support Quantified Uncertainty Research Institute.
Project Details
Updated 05/18/26 · By grantmaking.aiSquiggle is a domain-specific programming language for probabilistic estimation that runs on JavaScript. It provides native support for probability distributions and Monte Carlo-style simulation, allowing users to express uncertain quantities, propagate uncertainty through models, and compare scenarios. QURI uses Squiggle internally for cost-effectiveness analyses and publishes it as open-source infrastructure for forecasters, evaluators, and grantmakers.
Theory of Impact
Updated 05/18/26 · By grantmaking.aiBy giving forecasters, researchers, and grantmakers a lightweight language for expressing uncertainty with probability distributions, Squiggle lowers the barrier to building transparent quantitative models of important decisions, which QURI expects will improve the quality and robustness of reasoning in high-stakes domains.
People
Updated 05/18/26 · By grantmaking.aiLead developer (language rewrite)
Funding Details
- Aug 3, 2022
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Discussion
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