It has long been recognized that electron fluxes in the outer radiation belt are highly dynamic. This high dynamism is thought to be due to competing drivers causing acceleration, loss, and transport, with growing evidence regarding the importance of nonlinear processes (see, e.g., the review, Ripoll et al., 2020). Typically, the occurrence and magnitude of the differing drivers are dependent upon distance from the Earth (expressed, e.g., through the L-shell), particularly due to the changing cold plasma density and the strong gradients around the plasmapause. At the same time, these driving processes also depend very strongly on magnetic local time (MLT). The drive to understand the spatial and temporal dynamism of the outer radiation belts encapsulates the primary science questions around that physical system.A long-term focus for the radiation belt physics has been predicting the variation of trapped energetic and relativistic electron fluxes by understanding the physical processes driving the rapid, large magnitude changes seen in experimental data. About 15 years ago it was common for the community to try and understand changes occurring during very large geomagnetic disturbances, often looking at times around very large Dst changes. Unfortunately, this hampered deeper physical understanding of the processes occurring in the radiation belts, due to the combination of multiple large amplitude drivers competing during such large storms (Reeves et al., 2003). This focus on case studies during the largest disturbances has been described as the "Dst mistake" (Denton et al., 2009;, summarized by Geoff Reeves with the expression "If you have seen one storm, you have seen one storm" (Koskinen, 2011, p. 323). Following the "Dst mistake," there has been a stronger focus on trying to understand the "typical" or "consistent" variations in trapped fluxes when processes occur. One example of this approach is the use of superposed epoch analysis to focus electron flux decreases termed "dropouts," seen in GPS data, following high speed streams , and subsequently examined using low-Earth POES observations (Meredith et al., 2011, Hendry et al., 2012. The value of similar approaches has been