Falsifications can also be a sign of problems if they are common. If a theory makes predictions that are consistently wrong, then suspicion again arises. Regardless of how much complexity is needed to explain the contradictory findings, a steady stream of such findings, in itself, can indicate weakness.
Evolution has a long history of false predictions leading to rising complexity. The evolutionist’s claim that all of this is a sign of good science, of learning how evolution actually occurred, is not consistent with evolution’s many falsified predictions and complex adjustments.
One example of this is the evolutionary history of placental mammals. In recent decades this history was investigated by comparing the DNA sequences from different placentals. But the results were conflicting. Now, recent research has once again investigated this evolutionary history, this time using the much touted DNA retroelements which promise to provide a much clearer picture. But again, evolutionists must resort to convoluted explanations in order to fit the data to their theory:
We believe that the most parsimonious interpretation of the current data is that the ancestral placental populations were characterized by severe ancestral subdivisions and rejoinings, leading to a complex mosaic of phylogenetic relationships in recent species. Effects of alternating divergence, hybridization, introgression, and incomplete lineage sorting might complicate our search for a clear dichotomy at the base of this tree and leave us with an indistinct, effective “soft” polytomy, leading sometimes to one or the other solution depending on the size of the data set and the particular markers examined.
Evolution is now its own best parody. Evolutionists think nothing of these sorts of explanations and repeatedly use them when needed. But elaborate explanations can always be contrived in order to explain observations. Why should we believe they are true? As with heliocentrism, evolution erects so many "epicycles" in order to fit the data. Religion drives science and it matters.