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Channel

小星朵的反差日记💗

@xiaoxinduo96

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

821subscribers

+769 since we began measuring on 2 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004271533431
TypeChannel
Username@xiaoxinduo96
Created31 August 2026 — measured — dated from the channel’s first post
First recorded2 September 2026
Last confirmed live4 November 2026
Measurements held8
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/xiaoxinduo96

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 1 October 2026 and assigned it the closest of 31 fixed categories, at 84% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

52945498.52 September 2026 — 52 subscribers3 September 2026 — 123 subscribers11 September 2026 — 266 subscribers1 October 2026 — 271 subscribers12 October 2026 — 945 subscribers19 October 2026 — 929 subscribers27 October 2026 — 895 subscribers4 November 2026 — 821 subscribers8212 September 20264 November 2026
8 measurements spanning 63 days, net +769. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 00:16821-74
27 Oct 2026, 08:30895-34
19 Oct 2026, 14:37929-16
12 Oct 2026, 14:56945+674
1 Oct 2026, 07:40271+5
11 Sept 2026, 10:19266+143
3 Sept 2026, 10:02123+71
2 Sept 2026, 08:3052first reading

Engagement

9 posts held, back to 31 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
36s
Average length
18s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Recent posts

2 Sept 2026, 04:10 UTC101 viewsread 2 September 2026
Photo

今天是三好女人好累好困好想你🥳🥳🉑🈷️

1 Sept 2026, 14:01 UTC348 viewsread 2 September 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】小星朵 【联系方式】@xiaoxinduo85 【所在位置】天河 【验证留名】Z生 【验证时间】9/1 【修车费用】600P 【颜值身材】嫩妹类型 【服务内容】xcz+69 【服务态度】10分 【优点缺点】 优点:性价比拉满 缺点:课室比较小,隔音不好 【推荐程度】💯 【体验细节】 约好时间,上楼推开门一刹那,被小星朵老师模特般的曼妙身材经验了。先让我坐下,说喝口水不急,声音温柔。交上水费,刚脱衣准备沐浴,刚看到软软美丽的身体,竟一时间愣了神。腰细腿,还有那对丰胸硕果。 洗完躺在床上,舌尖轻轻碰撞,胸口传来绵软的触感,在此之下,下面早已坚硬。软软又起身来到那坚硬的位置,开始帮我口。我早已急不可耐,不多时就让泡泡老师放开。戴上套,小星朵老师让我坐在床中间,她缓缓坐下,包裹感与温度传来,让我有些失神。软软在上面很厉害,我也很享受。过了会,我起身缓缓放倒,连接处却始终…

Showing the 9 most recent of 9 posts we hold for @xiaoxinduo96. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 November 2026 — this entry's latest reading, not the date you are reading this.

“小星朵的反差日记💗” (@xiaoxinduo96), 821 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/xiaoxinduo96.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.