This is the pseudo-intellectual version of your boomer relative ranting about the weatherman on TV, “how does this guy still have a job when he’s always wrong!”

Or the poll-bashing that happened after the 2016 election when an outcome with a 29% chance per one model was observed.

Any interesting forecasting problem is underconstrained. Monte Carlo methods are the classic way to mitigate that one-universe problem.

Nobody can predict the future with certainty. All models are wrong, but some are useful.