I've slowly been converging upon the belief that there's no such thing as "truth". There are only models and predictions, and some models lead to better predictions than other models. (What then is a mathematical truth?)
For the clock example, "knowing" whether it's noon or not is useless in the framework of prediction. You instead develop a model with two (probability-weighted) possibilities: 1) the clock is broken and thus can't be relied upon as a correlate with other events or 2) the clock is functioning and this information can be utilized in some way to improve future predictions. From a utilitarian perspective, what value does knowing the absolute "truth" about the state of the clock add?