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Channel
桂华亭🌔深圳丝足SM疗愈👠
@guihuating
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2,682subscribers
+68 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001529675480 |
|---|---|
| Type | Channel |
| Username | @guihuating |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/guihuating |
Topic
Adult — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 03:17 | 2,682 | +6 |
| 12 Sept 2026, 19:57 | 2,676 | +2 |
| 8 Sept 2026, 13:16 | 2,674 | +19 |
| 3 Sept 2026, 12:20 | 2,655 | +19 |
| 31 Aug 2026, 10:34 | 2,636 | +21 |
| 28 Aug 2026, 07:53 | 2,615 | +1 |
| 28 Aug 2026, 07:31 | 2,614 | first reading |
Engagement
19 posts held, back to 27 July 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.
- ERR · 30 days
- 18.9%
- avg views ÷ 2,682 subscribers
- Avg views / post
- 506
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 19 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 19 (27 July 2026 – 28 August 2026) |
| Views total | 2,023 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 07:31 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 31s
- Average length
- 16s
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
桂华亭🌔深圳丝足SM疗愈👠 pinned a photo
很多玩家在结束课程后都觉得课程棒,后续聊天的过程中也都想继续返来参加其它课程,同时也帮助了很多新玩家打开新世界的大门,也就是SM玩法,大家也有诸多疑惑,我们课程真实的体验跟常见的视频、小电影或其他工作室不同是为什么? 在BDSM中,最为大家熟知的是“SM”,主角也就是施“虐”方和受“虐”方,获得快感的方式就是由痛感来刺激神经,相对而言是更简单的,所以暴力的“施虐”成为了这个领域的常见行为,也是很多玩家感兴趣,但不敢轻易尝试的根本原因。而我们更专注的领域是“DS”,是依靠精神、操纵、掌控等元素构成,相比之下,实操的难度更大,但对于新玩家或对痛感并不是很喜欢的玩家来说,这是一个更友好的选项 同时对于“恋足”“恋物”的主题而言,除了较好的外在条件,轻架空但符合现实逻辑、经过打磨的剧情才能够让玩家代入、沉浸最后投身其中,获得优秀的体验感~🥰 一直以来十分感谢大家的支持和认可,也让我们觉得保持高质量的服务水准和课程内容是值得的,未来的…
夹带一张私货,嘿嘿😆
——枫林体验 https://t.me/szflw 学生留名:yedhan 上课时间:8.19 老师花名:桂华亭丝足SM 课室位置: #福田 #香梅 老师电报: @guihuating2025 颜值身材:9.7 体验细节:七夕节不想被伤害,果断选择出击,到了课室见到老师人如其名,房间很大不是那些小作坊能比的,因为对sm类的这个不太了解,所以只能祈求老师的行为,不要太吓到我,进入课程时发现老师并不会非打即骂或者很凶,而是一点一点的去做入门引导,根据我的反应实时的去调整课程的进度,后面去跟小婷夸夸老师的时候,也聊了一下,在bdsm里,他们这里倾向于ds,很多项目也是围绕这里去展开的,只不过现在是让玩家们先适应初级的节奏,还没有开放高级课程而已,太多的我也没搞懂,但是能感觉出来他们的专业,很好 推荐程度:🍁🍁🍁🍁🍁 温馨提示:审美因人而异,服务亦有不同,报告好坏皆仅供参考。 报告频道:https://t.me/szflbg 报告收录…
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约课咨询 @guihuating2025 营业时间12:00~23:30 🤗 vx:ghtiny 不聊课程内容 提示只能给双向联系人发送消息的小伙伴可以联系我的影分身~ @guihuatang2025_bot
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Video, posted without a caption
课程内容怎么样?来过的人是什么感受? 你的问题在这里会得到答案🐰🥰 https://t.me/ghtbaogao
Showing the 12 most recent of 19 posts we hold for @guihuating. 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“桂华亭🌔深圳丝足SM疗愈👠” (@guihuating), 2,682 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/guihuating.
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.