A language model is generating text. At one step, it considers a restricted set of three possible next tokens: 'the' (original probability 0.6), 'a' (original probability 0.2), and 'an' (original probability 0.1). The probabilities for this set are then rescaled to form a new distribution. Now, imagine a different scenario where a fourth token, 'one' (original probability 0.05), is also included in the restricted set along with the original three. How does the inclusion of the token 'one' affect the new, rescaled probability of the token 'the'? Explain your reasoning without performing the full calculation.