With one true regressor and one additional candidate regressor, the reduction in residual sum of squares from fitting the larger nested model is . AIC chooses the wrong larger model exactly when
whose probability is fixed and positive, independent of . BIC chooses it when
For this probability is strictly smaller than the AIC error probability, and it tends to zero as .

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