Evolutionary genetics attempts to make evolutionary theory mathematically explicit through measuring change at the gene level, but once data have been gathered, modeling and interpretation – albeit contextual and thus limited – must be applied. In this chapter, I take a closer look at population modeling, moving from measurements and data to the investigation of two mathematical modeling strategies at the heart of genomic calibrations and analyses of human populations: variance partitioning and clustering analysis.