Rudin Real and Complex Analysis, How Theorem 7.10 leads to a generalization of Theorem 7.8?

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Here $m$ denotes the Lebesgue measure on $\Bbb R^k$. After Theorem 7.10, Rudin says that Theorem 7.10 leads to a correspondingly stronger form of Theorem 7.8, but I can't see why. Thanks in advance.

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This is stronger than Theorem 7. 8 because for any sequence $(r_i) \to 0$ $B(x,r_i)$ shrinks to $x$ nicely. [Take $\alpha =1$ in the definition].