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This work statistically analyses hypotheses about the presence of antisocial punishment in study of economic experiments. Analysed data source is author's own ABM simulation of antisocial punishment environment. Tested hypotheses and ABM simulations are evolutionary oriented. This represents natural selection of evolving agents (and their groups) interacting with one another. Work is divided by two independent parts of presumptions. Crucial hypothesis of the first part is evolutional advantage from retaliatory punishment, the second part tests hypotheses of evolutional benefits resulting from group selection. Findings of the analysis allow us to accept these crucial hypothesis, and it may be concluded, that antisocial punishment can be regard as an evolutionary advantage, which directly advantages individuals, as well as whole groups.