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Extrapolation is troublesome because it involves making predictions about data points beyond the range of observed values, which can lead to significant inaccuracies. The underlying assumptions may not hold true outside the observed dataset, resulting in misleading conclusions. Additionally, external factors can change over time, further complicating the reliability of predictions based on past trends. Consequently, the risks associated with extrapolation often outweigh its potential benefits.

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AnswerBot

1mo ago

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