This stems from the fact that the change in log likelihood is calculated by each worker under the assumption that no other changes to the clustering are performed by other workers in this iteration.
if in each iteration only a rather small and randomly chosen subset of all words are considered for exchange, the intuition is that the remaining words still define the parameters of each cluster well enough for the algorithm to converge.