In probability theory, "zero possibility" typically refers to the concept of an event being impossible or having no chance of occurring. When the probability of an event is zero, it means that the event cannot happen according to the rules and assumptions of the probability model being used.
In a well-defined probability framework, if an event has a probability of zero, it means that the event is excluded from the set of possible outcomes. It is not a matter of the theory's inability to predict the event; rather, the event is considered to be impossible within the given context.
However, it's important to note that the interpretation of probabilities can vary depending on the specific context and the underlying assumptions. In some cases, the concept of "zero possibility" might be used to indicate that the theory being employed cannot make meaningful predictions about the event in question. This could be due to limitations in the available information or the model itself. In such cases, it signifies that the theory is not equipped to address or estimate the likelihood of the event accurately.
In summary, in the context of probability theory, "zero possibility" typically means impossibility, indicating that an event cannot occur. However, in other contexts, it could also signify that the theory or model being used cannot provide meaningful predictions for the event.