In this article, we study a bond percolation model on a horizontally stretched square lattice, constructed by stretching the distances between the columns of according to a collection of independent and identically distributed (i.i.d.) copies of a non-negative random variable . We assume that satisfies the integrability condition for some constant . In this random environment, each vertical edge is independently declared open with probability , while each horizontal edge is open with probability , where denotes the Euclidean length of the edge. We develop a multiscale renormalization scheme adapted to this geometry and use it to prove that percolation occurs for all sufficiently large values of .

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