
    Write a function that determines how many social media posts received identical severity ratings from an AI model, human moderator, and community reports, where ratings must match exactly at the same post position to be counted as an agreement. Each input consists of three lists containing severity scores from 0-10, representing the AI predictions, human moderator ratings, and aggregated community reports respectively for the same set of posts.
    

    
def count_samepair(list1, list2, list3):
    """
    Write a function that determines how many social media posts received identical severity ratings from an AI model, human moderator, and community reports, where ratings must match exactly at the same post position to be counted as an agreement. Each input consists of three lists containing severity scores from 0-10, representing the AI predictions, human moderator ratings, and aggregated community reports respectively for the same set of posts.
    

    """
def count_samepair(list1, list2, list3):
    """
    Write a function that determines how many social media posts received identical severity ratings from an AI model, human moderator, and community reports, where ratings must match exactly at the same post position to be counted as an agreement. Each input consists of three lists containing severity scores from 0-10, representing the AI predictions, human moderator ratings, and aggregated community reports respectively for the same set of posts.
    

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