Aim. The problem of collective choice is the problem of combining several individual experts’ opinions about the order of preference of objects (alternatives) being compared into a single “group” preference. The complexity of collective choice consists in the requirement of processing the ratings of the compared alternatives set by different experts in their own private scales. The paper presents an original algorithm for processing expert preferences in respect to the problem of collective choice based on the concept of the overall “error” of the experts and measuring their contribution to the collective measure of their consistency. The presented materials include the necessary theoretical part consisting of basic definitions and rules, the definition of the problem and the method itself that is based on the majority rule, but in the group order of objects.