# Elegant variation Part of [The AI Tells Index](https://feedsquad.com/ai-tells). A tell signals low effort. It does not identify an author. Skilled writers produce every shape listed here, some of them daily, and automated detectors misread those writers for it at rates measured above 60 percent on non-native English prose. Nothing in this index proves that a machine wrote anything. Read an entry as one piece of evidence to weigh against the false-positive notes printed beside it. ## Facts - Id: elegant-variation - Category: Structural and syntactic (structural) - Subcategory: synonym-cycling - Also known as: synonym cycling, referent churn, WP:AIELEVAR - Status: Active. Currently signals low-effort writing. - Severity: medium - Evidence grade: corroborated (named independently by multiple credible secondary sources) - Languages: en - Added: 2026-08-15 - Updated: 2026-08-15 - Page: https://feedsquad.com/ai-tells/elegant-variation ## Description One referent, many names, rotated so that no word appears twice. Fowler named the habit elegant variation long before any of this, and Wikipedia adopted his term for its own signs-of-AI-writing page under the shortcut WP:AIELEVAR. The mechanism is a decoding property rather than a fact about any product: a repetition penalty lowers the probability of a token that has already appeared, so the next mention comes back as a synonym. Teaching-side accounts describe the same habit arriving in student work. ## Why it reads as machine-written The reader loses the referent. Once the audit becomes the review, then the assessment, then the study, a reader has to decide at every step whether a new thing has entered the paragraph. Repeating the noun is clearer and reads as less accomplished, which is exactly why the habit survives contact with an editor. ## Detection Type: judge (a rubric for a lightweight model judge) Rubric for a lightweight model judge: ```text Pick the main referent of the passage. List every noun phrase used to refer to it. For each alternative after the first, decide whether it carries a distinction the first one does not, such as a change of scope, of time or of authorship. Count the alternatives carrying no distinction. Escape hatches: writers taught to avoid repetition, which includes much second-language prose and Italian-schooled writing specifically, and any text where the alternatives are established terms of art with different meanings. Return the referent, the list of names used for it, and the count that carry no distinction. ``` ## Examples Constructed specimens. Written for this index. Never quoted from anyone's posts. ### Specimen 1 Before, exhibiting the tell: > The 2024 audit found three gaps. The review also noted a delay in reporting. The assessment recommended a follow-up, and the study is now with the board. After, repaired: > The 2024 audit found three gaps and a two-week reporting delay. The same audit recommended a follow-up, and the audit sits with the board until 30 September. Note: The repair repeats the noun on purpose. Four names for one document became one name plus the dates. Figures in this repair are invented for the specimen. ## False positives Who legitimately writes this way. Writers schooled to avoid repetition produce this on purpose, and Wikipedia's own page records that Italian schools teach the habit explicitly, citing Italian-language sources for it. Style guides in several languages ask for the same thing. Work separating model families by text statistics operates over many documents at aggregate level and gives nobody a licence to call a single paragraph. Where the alternative names carry a real distinction, the variation is doing work; where they are interchangeable, it is costing the reader the referent. ## Model attribution Attributed to repetition-penalty decoding, which is a property of how text is sampled rather than of any one vendor. Aggregate classifiers can separate model families from text alone, which is a population result and not a per-document one. ## Platform notes - wikipedia: Shortcut WP:AIELEVAR. The page carries its own caveat that editors who are not native English speakers may avoid repeated words as a matter of schooling, and cites Italian-language sources for it. ## Sources 1. Wikipedia: Signs of AI writing https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing (tier: community; accessed 2026-08-14) 2. Chronicle of Higher Education, ten ways AI is ruining your students writing https://www.chronicle.com/article/10-ways-ai-is-ruining-your-students-writing (tier: press; accessed 2026-08-14) 3. tropes.fyi pattern directory https://tropes.fyi/directory (tier: community; accessed 2026-08-14) 4. Sun et al., Idiosyncrasies in Large Language Models, ICML 2025 (arXiv:2502.12150) https://arxiv.org/abs/2502.12150 (tier: peer-reviewed; accessed 2026-08-14) ## Status history Ids are permanent. A retired tell keeps its id and its page. - 2026-08-15, Active: Carried by the largest maintained public taxonomy under its own shortcut, by a pattern directory and by a teaching-press account, with a stated decoding mechanism behind it. No published work reports it fading. ## License CC BY 4.0. https://creativecommons.org/licenses/by/4.0/ Attribution: The AI Tells Index, feedsquad.com/ai-tells Reuse the data, including commercially. Keep the attribution line. --- Dataset version 1.0.0. Schema version 1. Part of [FeedSquad](https://feedsquad.com). Built by [Herman Foundry](https://hermanfoundry.com) from Levi, Finnish Lapland.