I set it up correctly at first, conditioning on how many Aces could be in the first two draws (exactly one or exactly two) and weighting each case.
Use conditional probability and symmetry. Since the condition only involves the first two cards, the third card is equally likely to be any of the remaining 50 cards, so the probability is simply the expected number of Aces left divided by 50.
Pro tip: Leverage linearity of expectation: the expected number of Aces in the first two cards given at least one is 1 + 3/5, so the expected number of Aces left is 4 minus that, divided by 50. This avoids messy casework and shows strong probabilistic intuition.
Let A be the event that the third card is an Ace, and B be the event that at least one of the first two cards is an Ace. We need P(A|B).
Given B, the third card is equally likely to be any of the remaining 50 cards. So P(A|B) = E[number of Aces left | B] / 50.
Let X be the number of Aces in the first two cards. Given B, X can be 1 or 2. By symmetry and the definition of conditional expectation, E[X|B] = 1 + P(both Aces | B). Compute P(both Aces | B) = (4/52 * 3/51) / P(B).
P(B) = 1 - P(no Aces in first two) = 1 - (48/52 * 47/51) = 1 - (2256/2652) = 396/2652 = 33/221. Then P(both Aces | B) = (12/2652) / (396/2652) = 12/396 = 1/33. So E[X|B] = 1 + 1/33 = 34/33.
Expected Aces left = 4 - E[X|B] = 4 - 34/33 = (132-34)/33 = 98/33. Then P(A|B) = (98/33) / 50 = 98/1650 = 49/825.
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