Why might it propagate?
Trace a route through events, physical flows, capital relationships, and affected entities. Inspect the meaning of each step.
Structural pathAn independent research initiative
The world is connected. Explanations should be inspectable. Causals Lab is building a versioned map of entities, events, relationships, and evidence—and studying how language models can reason with it.
Why this exists
A line between two things can mean many things: ownership, a supply relationship, an observed association, or a causal claim. Treating them all as the same would produce a compelling picture—and a misleading answer.
Our approach keeps the type, direction, provenance, time context, and uncertainty of each relationship visible. The graph is a place to investigate a hypothesis, not a machine that turns every connection into proof.
Explore the ontologyHow reasoning earns trust
A plausible path and a past pattern are different kinds of evidence. We want people to see both—and the misses.
Trace a route through events, physical flows, capital relationships, and affected entities. Inspect the meaning of each step.
Structural pathCompare similar historical cases and their observed outcomes. A useful record includes failures, not only successful predictions.
Historical validationSurface alternative explanations, disputed edges, missing observations, and limits of the source material.
Human reviewFour connected efforts
A living project
Spot an error, add context, or challenge a relationship. You don't need to write code to contribute.
How to contribute