Let , and . A graph cut with no crossing edges is obtained by assigning whole graph components to its two sides. Among all such assignments, maximize the smaller side's size , and write for the other side.
Suppose . Then . If a graph component on the larger side had size , moving it to the smaller side would make both and greater than . That contradicts maximality. Hence every graph component on the larger side has at least vertices. Since each has at most vertices and their total exceeds , there must be at least of them. Consequently
a contradiction. Thus , proving the required empty cut with both sides at most . This balanced component cut argument works for arbitrary positive component weights as well; it does not require divisibility of .
If some choice produced a graph with largest component of a graph smaller than , the balanced component cut result with packing parameter one would give an empty graph cut whose sides both have at least vertices. For any fixed such vertex set partition, a uniform edge of the complete graph crosses with probability
To avoid crossing in row , at least one of its offered edges must be noncrossing. The row's probability is . The rows consist of independent random variables, so at a union bound over at most vertex set partitions gives
For example, the positive integer
makes this bound at most . Therefore every choice has a component of order at least , with probability tending to one. The simultaneous giant for fixed random-edge choice estimate includes choices made after seeing the entire array; it does not assume a particular online selection rule.

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