Extrapolation limitation refers to the statistical boundary where predictions extend beyond observed data, risking inaccuracy due to unseen variables or trend shifts. Used by analysts, researchers, and forecasters, it guides cautious modeling in finance, climate science, and epidemiology. Investors, policymakers, and data scientists benefit by recognizing when projections lack empirical support, enabling risk mitigation and more reliable decision-making.
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