Researchers demonstrate an algorithm that exploits the financial incentive of model providers to generate additional reasoning paths in large language models, allowing an unfaithful provider to artificially increase the path count and potentially overcharge users. The algorithm is tested on various models and datasets, showing a heavy-tailed distribution and substantial capacity to overcharge.