# Engineering-metaphor vocabulary tics in LLM output > Source-anchored research for Engineering-metaphor vocabulary tics in LLM output. Run status: COMPLETED. Parent: [LLM engineering-metaphor tics: term of art versus reflexive tic](https://llms-explorer.com/tree/ai-isms-metaphor-tics/) · 5 facets · 6 facts · page: https://llms-explorer.com/tree/engineering-metaphor-vocabulary-tics-in-llm-output/ ## Structure and components - Practitioner glossaries describe the engineering-metaphor tic as models importing engineering language into ordinary life: leverage for use, unpack as the conversational cousin of delve, plus optimize, streamline, facilitate, harness, and promoting observations into pillars, layers, stages, dimensions. (low confidence) — [source](https://roughatsea.com/notes/the-llm-ism-dictionary/) ## How it works - The cause of lexical overrepresentation is unresolved: Juzek and Ward found no evidence for architecture, algorithm or training-data causes; model testing is consistent with RLHF playing a role, but an exploratory human study gave mixed results. (medium confidence) — [source](https://arxiv.org/abs/2412.11385) ## Measurements and reference values - Excess-word analysis of over 15 million PubMed abstracts (2010-2024) found an abrupt post-ChatGPT rise of style words (delve, underscore, crucial, pivotal, utilize, align), implying at least 13.5% of 2024 abstracts were LLM-processed, up to 40% in some subcorpora. (high confidence) — [source](https://arxiv.org/abs/2406.07016) - A 2026 study of 160,000 responses from 8 frontier models (data collected 2026-03-01 to 2026-03-15) lists leverage, robust, streamline, holistic, landscape, foster among overused vocabulary; its Verbal Tic Index ranged from 0.295 (DeepSeek V3.2) to 0.590 (Gemini 3.1 Pro), and tic rates rose about 110% between conversation turn 1 and turn 20. (medium confidence) (verified as of 2026-09-23) — [source](https://arxiv.org/html/2604.19139v2) ## Problems, failure modes and limitations - Word-list detection is contested: commentators attribute delve-style vocabulary to formal Nigerian business English of outsourced RLHF annotators, and vocabulary-based detectors risk false positives on formal or non-Western English. (low confidence) — [source](https://simonwillison.net/2024/Apr/18/delve/) ## Facts and statements - Quantitative studies mostly measure generic style words (delve, tapestry, intrinsic, crucial); no source found quantifies the engineering-metaphor subset (load-bearing, scaffolding, surface, anchor) separately, so claims that these are LLM-specific rest on anecdote. (low confidence) — [source](https://arxiv.org/abs/2406.07016)