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In the evolution of social interactions among microbes, mathematical theory can aid empirical research but is often only used heuristically. How to properly formulate social evolution theory has also been contentious. Here we evaluate kin and multilevel selection theory as tools for analyzing microbial data. We reanalyze published datasets that share a common experimental design and evaluate these theories in terms of data visualization, statistical performance, biological interpretation, anddoi:10.1101/742122 fatcat:imsunne62zbdndj7j3jgsic45e