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Channel
广州抓龙筋萌萌| SM女王(白云机场)
@huaduzhualongjin
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
210subscribers
+36 since we began measuring on 4 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003996621865 |
|---|---|
| Type | Channel |
| Username | @huaduzhualongjin |
| Created | Between 1 April 2026 and 12 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 September 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/huaduzhualongjin |
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 25 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 25 Sept 2026, 09:15 | 210 | +11 |
| 13 Sept 2026, 23:37 | 199 | +19 |
| 6 Sept 2026, 09:58 | 180 | +6 |
| 4 Sept 2026, 18:22 | 174 | first reading |
Engagement
20 posts held, back to 12 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
- 57.1%
- avg views ÷ 210 subscribers
- Avg views / post
- 120
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 20 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 4 September 2026 |
|---|---|
| Posts held | 20 (12 July 2026 – 4 September 2026) |
| Views total | 360 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Sept 2026, 18:22 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
- 3m 20s
- Average length
- 25s
Measured directly from 8 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.
Reaction mix
5 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 60.0% | |
| 👏 | 1 | 20.0% | |
| 😁 | 1 | 20.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 5 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 12 July 2026 to 4 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
好消息🎉🎉🎉🎉🎉,好消息🎉🎉🎉🎉🎉🎉,狂欢优惠活动价,速速预约先到先得,优惠价过时不候哦。👆👆👆👆👆👆 🌸 广州花都融创专业私密保养 ✨ 5年SPA按摩老手,专注男性私密调理与深度放松。 精通全身穴位、经络调理,帮你彻底释放压力,恢复活力~ 特色服务: • 专业抓龙筋 + 前列腺保养 • 龟头脱敏 & 持久调教 • 丝足足交 + 亲密抚触疗愈 • 高潮引爆 & 全身舒爽 可选类型:嫩妹 / 熟女 / 御姐 支持:温柔抚触 / 轻SM / 角色扮演 环境私密安全,干净舒适,技术到位,让你一次就上瘾💦 📍 广州花都融创附近(具体位置私聊确认) 艺名:#萌萌 私信: @mengbabl 双向精灵: @mengmengchatbot 频道: https://t.me/huaduzhualongjin 飞机群: https://t.me/guangzhouzhualong 企鹅🐧: 3640789575 与你号: MXY6…
广州抓龙筋萌萌| SM女王(白云机场) pinned a photo
广州抓龙筋萌萌| SM女王(白云机场) pinned «近期有宝子反应被骗的情况,想来上课的宝子一定要从我的个人频道里的链接联系我,不要从其他地方点击 认准唯一联系方式 私信: @mengbabl 双向精灵: @mengmengchatbot 频道: https://t.me/huaduzhualongjin 飞机群: https://t.me/guangzhouzhualong 企鹅🐧: 3640789575»
近期有宝子反应被骗的情况,想来上课的宝子一定要从我的个人频道里的链接联系我,不要从其他地方点击 认准唯一联系方式 私信: @mengbabl 双向精灵: @mengmengchatbot 频道: https://t.me/huaduzhualongjin 飞机群: https://t.me/guangzhouzhualong 企鹅🐧: 3640789575
https://t.me/guangzhou11111111
射出来之后你可就什么用都没有了,再忍耐一会儿,好好享受这种折磨
✅ 已识别当前群组/频道 名称:广州抓龙筋萌萌| SM女王(白云机场) 类型:频道 Chat ID:-1003996621865 公开用户名:@huaduzhualongjin 请复制上面的 Chat ID,到后台验证条件里直接填写。 私密群/私密频道优先使用这个 ID,最稳定。 也可以随时发送 /chatid 再查询一次。
👏1
现在告诉我,说,喜不喜欢? 嗯哼?装什么清高,身体比嘴诚实。
小乖乖,今天妈妈心情好,允许小乖乖当妈妈的座椅,嗯哼?
加班,泰式抓龙筋,是泰国对男根的古老保养秘术,以提升男性能力,抓龙筋的时候也会刺激男性根部,得到很强的快感体验,姐姐也是有温柔的一面
https://t.me/gzfhq
❤1
Showing the 12 most recent of 20 posts we hold for @huaduzhualongjin. 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.
Mentions
Named by 1 registered channel — 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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“广州抓龙筋萌萌| SM女王(白云机场)” (@huaduzhualongjin), 210 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/huaduzhualongjin.
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.