How is a forecast distinguished from a true prediction in certain scientific contexts?
Answer
A forecast is an extrapolation near existing data bounds, while a prediction concerns outcomes far outside the observed data range
Some literature distinguishes a prediction as reaching far outside observed data, potentially involving novel mechanisms, whereas a forecast is an extrapolation relying on established relationships within or near known data limits.

Related Questions
What fundamentally necessitates both idealization and abstraction when creating a scientific model?Which characteristic primarily limits the predictive reach of a physical model?What type of output do conceptual models typically provide?What is the defining strength that makes mathematical models the 'workhorses of forecasting'?If a model is calibrated on 20th-century climate data, what process confirms its framework by accurately reproducing known temperature anomalies from the early 1900s?What risk does a scientist guard against when a model becomes too intricately tailored to existing dataset noise?What concept describes the duration for which a prediction holds true before the model rapidly loses fidelity?How is a forecast distinguished from a true prediction in certain scientific contexts?When modeling complex systems like financial markets, what is the primary utility of the model?When must a model predict based entirely on its assumed physical laws under conditions never before seen?What is the purpose of the Sensitivity Testing step in a layered validation checklist?In sophisticated modeling, why is the output often a distribution of possibilities rather than a single number?