Although GloVe and CBOW are the two best performing embeddings on the intrinsic tasks, they differ vastly in the amount of frequency information they encode.
we can conclude that most of the differences in frequency prediction are not due to intrinsic properties of natural language: it is not the case that frequent words naturally have only frequent neighbors.