Telegraphese prompting achieves up to 48.9% token savings across LLMs

Using a lowercase instruction to force 'cablese' styling reduces token consumption by 40.4% to 48.9% for Qwen and Gemma models. While readers show minor accuracy gains, GPT-5-mini fails to see savings because compression triggers increased reasoning overhead and doubles billing costs.