The two captures form a uniform ordered sample of distinct birds, that is, sampling without replacement. By exchangeability, each of the ten birds has the same chance of occupying the second position, so the probability is . Equivalently, conditioning on the first capture gives .
Let be the events that the first and second birds are ringed. Under sampling without replacement,
Thus the conditional probability is . Alternatively, once a particular ringed second bird is specified, three of the nine possible first birds are ringed.
Let count the ringed birds among the two captures, and let be the event that the detector records at least one ring. The hypergeometric distribution gives the prior probabilities
Under the usual additional assumption of independent per-ring detection, with no false records, the likelihoods are , , and . Therefore . Applying Bayes' theorem yields . Storing only the last detected number means that a stored record does not identify how many rings were present. By label symmetry, the identity of that stored ring does not further alter this distribution.
The text specifies each ring's marginal detection probability, but does not explicitly specify independence of the detection errors. To keep this modelling qualification visible, let . The marginal detection rate only implies . Without the extra independence assumption, the full family of possible posterior distributions is
In particular . The displayed numerical answer corresponds to ; the general answer exposes exactly what the detector's marginal specification alone establishes.

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