 Hong and Page’s landscape is one in which each of 2000 points is given a random value between 1 and 100: a purely random landscape. One consequence of that fact is that the group of 9 best heuristics on different random Hong-Page landscapes have essentially no correlation: a high-performing individual on one landscape need have no carry-over to another. Grim et al. (2019) expands the Hong-Page model to incorporate other landscapes as well, in ways which challenge the general conclusions regarding diversity that have been drawn from the model but which also suggest the potential for further interesting applications.