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Understanding the astrophysical neutrino flux requires not only a large detector like IceCube, but also carefully curated datasets optimized for precision measurements. Achieving this demands detailed knowledge of detector performance and continuous refinement of neutrino-selection methods. In this talk, I will focus on these aspects in the context of the Medium Energy Starting Event (MESE) sample, which enabled the measurement of a break in the cosmic neutrino spectrum and delivered one of the most precise determinations of the flavor composition to date. I will discuss the data-selection strategy behind MESE and further efforts on transitioning this data stream to the standard filters used in IceCube.