So if my model says RFK has a 98% probability of winning, then it is no more right or wrong than Silver’s model?
If so, then probability would be useless. But it isn’t useless. Probability is useful because it can make predictions that can be tested against reality.
In 2016, Silver’s model predicted that Clinton would win. Which was wrong. He knew his model was wrong, because he adjusted his model after 2016. Why change something that is working properly?