Recently, advanced molecular simulations allowed us to study the intrinsic dynamics (monomer exchange within and in-and-out of the assembly) of various types of supramolecular polymers at a submolecular resolution (<5 Å). These works demonstrated that defects, which may be intrinsically present in these assemblies, are key in controlling any dynamic transition in the supramolecular structure. In particular, such defects were found to control the supramolecular dynamics of these assemblies, how quickly they adapt and change in response to specific stimuli and even how these complex supramolecular systems behave and evolve when they are far from the equilibrium. Therefore, despite the wide and general effort toward reaching perfection in the self-assembly of ordered architectures, we now have clear indications that the dynamic behavior and properties of some supramolecular polymers are intimately connected to defects, and may even originate from them. However, the complex statistical nature of these systems poses the non-trivial challenge of identifying and classifying such defects in their soft and dynamic supramolecular structures in an unambiguous, general and transferable way.