Write and . By translation invariance and linearity of expectation,
Let . Since , splitting the expectation at the threshold gives
Rearranging produces the slightly stronger estimate
Only the mean and boundedness of the random variable are used; independence of the vertex-membership events is unnecessary.
For , let be the set of vertices of connected to by an open path in a graph using only edges of . Every infinite-cluster vertex of belongs to , by stopping an infinite open path in a graph at its first boundary visit. Hence the increasing event
has probability at least by part (a). Importantly, depends only on the edges with both endpoints in .
Open all perimeter edges joining successive vertices of . They form a cycle in a graph, and opening them joins every vertex of into one percolation cluster, containing the specified perimeter vertex . The Harris-FKG inequality bounds the probability of this event together with below by .
Close all edges in the edge boundary of . These edges are distinct from the internal edges already considered, so their states are independent of those events. The resulting percolation cluster of is finite, contained in , and has at least vertices. Therefore, by translating to the origin,
For , choose . Then the threshold is at least , and . Put and ; both are positive. The preceding lower bound is at least with, for example,
The construction modifies only order- boundary edges while trapping order- vertices, which explains the stretched exponential scale. Here is interpreted as the positive integers; the proposed lower bound at would be false because .
Declare an edge of the planar dual graph open exactly when its crossed primal edge is closed. This dual bond percolation has parameter , using the Harris-Kesten theorem. We use the standard exponential tail of subcritical cluster size: for some , uniformly in the dual vertex ,
This is decay of the number of vertices in the percolation cluster, not merely its radius.
On , the geometric fact allowed in the paper supplies a simple dual cycle in a graph surrounding , with length . Every crossed edge is in the edge boundary of and is therefore closed, so the dual cycle is open. Its distinct vertices lie in one dual percolation cluster of size at least .
A dual cycle in a graph of length surrounding the origin has all its vertices within sup-norm distance of the origin: its coordinate spans are at most , and the origin lies between each pair of extreme coordinates. There are at most possible dual vertices there. The union bound over lengths and possible vertices yields
for some , since a polynomial factor can be absorbed into a slower exponential decay.
To remove the constant prefactor for all , first choose so that the bound is at most for . For the remaining finitely many , use and choose
For , the chosen ensures .

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