Inspecting the Pareto compositions in Figure more closely reveals that Mn90Co10Ox achieves the highest activity while suffering from an ΔηOER of around 10 mV after the AST. It is important to note that this result is highly dependent on the testing protocol chosen and should not necessarily mean that Mn90Co10Ox is the universally highest active sample. Rather than finding the one and only optimal catalyst, it is equally intriguing to discover certain trends that MOBO was able to unravel. For instance, incorporating Ti into the catalyst triggers an activity improvement after AST, shown by the negative ΔηOER. The more Ti is incorporated, the more pronounced this effect, but at a sacrifice of activity. This trend prevailed throughout the sampled compositions, which is evident from the analysis of the 2 nd , 3 rd , and 4 th best Pareto front shown in Figure . To clarify, the 2 nd best Pareto front is obtained when all points from the 1 st Pareto front are deleted. The 3 rd is obtained by deleting the 1 st and 2 nd, and so on. More elaborate follow-up investigations are needed to understand this behavior, which will be highlighted in the upcoming sections. Literature reports have demonstrated the beneficial role of Sb incorporation into mixed Mn oxides to improve electrocatalytic stability during acidic OER. Slight improvements in the stability of Mn-oxides through the addition of Sb could also be observed in this study, indicated by a lowered ΔηOER for a Mn90Sb10Ox sample compared to bare MnOx in Figure . To compare the performance of the mixed metal oxides against a state-of-the-art catalyst, a IrOx sample was synthesiued with the same procedure used for the non-noble samples (see Figure ). As expected, IrOx outperforms the Pareto compositions in terms of activity by 180 mV due to its superior OER kinetics. The ΔηOER after AST is near 0, demonstrating good stability. Overall, it seems that binary and ternary compositions are more frequently sampled during the MOBO campaign (see Figure ).