# The Probability of Causation

## TL;DR

This paper discusses how to estimate the probability of causation in legal cases using statistical data, emphasizing the importance of additional scientific information to refine these estimates.

## Contribution

It reviews and extends recent methods for calculating the probability of causation, incorporating additional data on covariates and mediating variables.

## Key findings

- Probability of causation can be bounded using statistical data.
- Additional information improves the precision of causation estimates.
- The approach applies to legal and scientific decision-making.

## Abstract

Many legal cases require decisions about causality, responsibility or blame, and these may be based on statistical data. However, causal inferences from such data are beset by subtle conceptual and practical difficulties, and in general it is, at best, possible to identify the "probability of causation" as lying between certain empirically informed limits. These limits can be refined and improved if we can obtain additional information, from statistical or scientific data, relating to the internal workings of the causal processes. In this paper we review and extend recent work in this area, where additional information may be available on covariate and/or mediating variables.