A chain rule for conditional multidistance. Let π:G→H be a homomorphism, and suppose the pairs (Xi,Yi) are independent across the finite index set. Then D[X∣Y]=D[X∣(πX,Y)]+D[πX∣Y]+I[∑iXi:(πXi)i∣(π(∑iXi),(Yi)i)]. The first term measures the remaining fiberwise multidistance after adjoining each image π(Xi) to its conditioning data.