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Forecasts can also be useful without error bars. Sometimes all one needs is a point prediction to inform actions. But sometimes full knowledge of the predictive distribution is helpful or needed to make good decisions.

"Point forecasts will always be wrong" - true that for continuous data but if you can predict that some stock will go to 2.01x it's value instead of 2x that's still helpful.



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