  Let $X_1,X_2,\dots$ be independent and identically distributed random
variables on the real line with a joint continuous distribution function $F$.
The stochastic behavior of the sequence of subsequent records is well known.
Alternatively to that, we investigate the stochastic behavior of arbitrary
$X_j,X_k,j<k$, under the condition that they are records, without knowing their
orders in the sequence of records. The results are completely different. In
particular it turns out that the distribution of $X_k$, being a record, is not
affected by the additional knowledge that $X_j$ is a record as well. On the
contrary, the distribution of $X_j$, being a record, is affected by the
additional knowledge that $X_k$ is a record as well. If $F$ has a density, then
the gain of this additional information, measured by the corresponding
Kullback-Leibler distance, is $j/k$, independent of $F$. We derive the limiting
joint distribution of two records, which is not a bivariate extreme value
distribution. We extend this result to the case of three records. In a special
case we also derive the limiting joint distribution of increments among
records.
