  We develop a most likely error Pauli error decoding algorithm for stabiliser
codes based on general purpose integer optimisation. Using this decoder we
analyse the performance of holographic codes against Pauli errors and find
numerical evidence for thresholds against Pauli errors for bulk qubits. We
compare the performance of holographic code families of various code rates and
find phenomenological Pauli error thresholds ranging from $7\%$ to $16\%$,
depending on the code rate. Additionally we give numerical evidence that
specific distance measures of the codes we consider scales polynomially with
number of physical qubits.
