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Because workforce assumptions are volatile and because small changes in reality can have a massive impact on predictions, it may be wiser to use models such as Lurie's to monitor and adjust rather than as a definitive prediction from which policy changes with profound effects might arise. To make an analogy with weather prediction: We can say with some confidence what the weather is like now, or in 5 minutes, but even 1 day out weather forecasts become unreliable. Predicting the weather a year in advance becomes a ludicrous proposition. Yet over time, meterologists have built a body of knowledge that allows for reasonably accurate forecasts for certain months or seasons (although they become increasingly imprecise as they move farther into the future).

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