Naive probability describes the simplistic understanding of probability as the ratio of the number of successful outcomes to the number of possible outcomes. This works in some situations (e.g., the probability of getting a head in a coin toss) but doesn't work in more complex situations (e.g., the probability that a candidate wins the election is not simply 50% (either she wins or she doesn't)).