This paper presents a new approach to statistical similarity assessment based on sequence alignment. The algorithm performs mutual matching of two random sequences by successively searching for common elements and applying breaks matchless in the function exponential cost. As result, varying significantly generate high-cost alignment, while low-cost introduced interruptions allow inferring natu...