  Lumping a Markov process introduces a coarser level of description that is
useful in many contexts and applications. The dynamics on the coarse grained
states is often approximated by its Markovian component. In this letter we
derive finite-time bounds on the error in this approximation. These results
hold for non-reversible dynamics and for probabilistic mappings between
microscopic and coarse grained states.
