Some studies imply that excellent maps are possible while others show that good maps are unlikely.
In this work we use the formalization to examine the expected quality of the maps. Surprisingly to us, there is still are large amount of inherent ambiguity in maps created from such data. We dubbed these adjacencies, weak, since no algorithm can be sure they are adjacent based only on the hybridization data. We found that three factors effect the amount of weakness in the result. Our new results are that clone length has a non-linear effect on the results.