However, time-of-flight (TOF) experiments and Monte Carlo (MC) simulations have shown that if the degree of both energetic and positional disorder is high enough, the fluctuations of the intersite distances create fast diffusion routes. [5] These routes increase the mobility of carriers located in high energetic states leading to their extraction before they have the time to thermalize, thus creating dispersion in current extraction on a short time scale. [5] Although the relative importance of the dispersive effect on OPV devices performance is conflicting in the literature, [6] new reports have suggested that it is necessary to consider the influence of the dispersion effect in current extraction and that steadystate mobilities are not relevant to describe the transport in OPV devices. [6b,c] In their study, they set up a MC simulation and an optoelectrical measurement based on a laser light pulse from which they measured the charge carrier mobility on a time scale of 100 fs after the exciton generation. [6b,c] In the first nanoseconds, they observed a charge carrier mobility orders of magnitude higher than the one measured by steady-state measurements. This high mobility is due to the carriers being excited on the upper part of the DOS that are extracted before losing their energy through thermalization. [6b,c] The authors conclude that the steadystate mobilities are not pertinent to make relevant statements on OPV performance and that the thermalization loss plays a key role in the extraction.On the other hand, van der Kaap and Koster used a MC simulation to show that in an organic diode the thermalization has a limited impact on the performance. [6a] In addition, other reports have also demonstrated that SCLC analysis can be successfully applied to organic solar cells and gives valuable insight into materials transport properties. [4b,7] In fact, many studies have shown that the power conversion efficiency (PCE) [4b] and fill factor (FF) [7] depend on the steady-state mobilities. Furthermore, it has also been shown that drift-diffusion simulations, which assume a near-equilibrium state and use steady-state mobilities as an input, successfully describe the characteristics of organic transistors, light-emitting diodes, and solar cells. [7a,b,8] Transient signals of OPV devices have also been well reproduced by drift-diffusion simulation. For example, Albrecht et al. have been able to fit the time-delayed collection field (TDCF) signal using drift-diffusion simulations. Even though they also see that during the first 50 ns after the charge generation a small effect of mobility relaxation has to be taken into account in order to reproduce the transient signal, it still shows that those simulations are suitable to describe the transient behavior of organic solar cells. [9] These studies raise Charge transport in organic photovoltaic (OPV) devices is often characterized by steady-state mobilities. However, the suitability of steady-state mobilities to describe charge transport has recently been called...