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In group decision-making (GDM) problems, decision makers may prefer to divide the alternatives into two preference-ordered categories, which is called a 2-rank GDM problem. In the process of 2-rank GDM, consensus is of great significance for the aggregation of individual opinions, in which the experts’ weight plays a key role in the consensus level among experts, and different expert weights may lead to different 2-rank consensus results. Thus, a coordinator may strategically set experts’ weight to attain the desired consensus level, which we call strategic experts’ weight manipulation in 2-rank consensus reaching in GDM. In this study, first, we provided the concept of 2-rank consensus level range, and then we constructed a few mixed 0–1 linear programming models to compute the strategic experts’ weights to obtain the coordinator’s desired 2-rank consensus level, and the property is provided. Finally, we …