
    Given three lists representing a user's current friends, a potential friend's connections, and a recommended friend's network, determine the number of mutual connections that all three users share in common (where the same user ID appears in the same position across all three lists). This analysis will help evaluate the strength of potential friend recommendations based on overlapping social circles.
    

    
def count_samepair(list1, list2, list3):
    """
    Given three lists representing a user's current friends, a potential friend's connections, and a recommended friend's network, determine the number of mutual connections that all three users share in common (where the same user ID appears in the same position across all three lists). This analysis will help evaluate the strength of potential friend recommendations based on overlapping social circles.
    

    """
def count_samepair(list1, list2, list3):
    """
    Given three lists representing a user's current friends, a potential friend's connections, and a recommended friend's network, determine the number of mutual connections that all three users share in common (where the same user ID appears in the same position across all three lists). This analysis will help evaluate the strength of potential friend recommendations based on overlapping social circles.
    

    """
    result = sum((m == n == o for (m, n, o) in zip(list1, list2, list3)))
    return result