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Usually these are predictions made by a model that has explanatory power for things that we can observe. The model might be wrong, or there might be a better model. That’s always the case in science. Observations that confirm a model also increase the credence for its predictions that we can’t directly observe. It means that given our best current understanding of X, it also implies Y. Yes, Y might be wrong, but then that implies that something is likely also wrong with our current understanding of X. The predictions (or retrodictions) aren’t black and white. They always have some associated level of credence, which depends on how well we think we understand the kind of system we are talking about.