🥫泰国按摩店技师首次下海🥫 🫕可以肛交口爆颜射多种花样🫕 点击查看👉 娜莎报告库 📱私聊约课👉 @TGLMNM68 📱双向私聊机器人👉 @MGYH12bot 💎曼谷壹号频道 https://t.me/TGNHVIP

Channel
惠阳 泰国小霞 🉑3p口爆车震颜射丝足
@MGYH11
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,392subscribers
+1,054 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003903926404 |
|---|---|
| Type | Channel |
| Username | @MGYH11 |
| Created | 14 August 2026 — measured — dated from the channel’s first post |
| First recorded | 22 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/MGYH11 |
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 16 Sept 2026, 08:18 | 1,392 | +613 |
| 9 Sept 2026, 05:19 | 779 | +9 |
| 30 Aug 2026, 15:05 | 770 | +410 |
| 23 Aug 2026, 10:35 | 360 | +22 |
| 22 Aug 2026, 09:15 | 338 | first reading |
Engagement
10 posts held, back to 14 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.
- ERR · 30 days
- 1.36%
- avg views ÷ 1,392 subscribers
- Avg views / post
- 19.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 10 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 22 August 2026 |
|---|---|
| Posts held | 10 (14 August 2026 – 22 August 2026) |
| Views total | 19 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 09:15 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
- 23s
- Average length
- 8s
Measured directly from 3 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 10 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 14 August 2026 to 22 August 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
✔️检测完成✔️ 环境温馨 沙发可以做为主战场😁 正宗泰式 按摩技师下海 点击查看👉 娜莎报告库 📱私聊约课👉 @TGLMNM68 📱双向私聊机器人👉 @MGYH12bot 💎曼谷壹号频道 https://t.me/TGNHVIP
❤1
【老师艺名】:娜莎 【验证留名】:peng fei 【验证时间】:8.21 【所在位置】:淡水 【上课课费】:450 【是否代聊】:是 【颜值身材】:人照7分吧,偏黑 【服务内容】:洗吹做 【优点缺点】:优点是服务意识,这是泰国菜最好的地方,缺点还是沟通问题,国际通用手势也行 【推荐程度】:有特服,第一次没试,下次再机会 【个人发挥】:进门交水费,去洗澡,还给我个漱口水,拆好了的,跟我在泰国一样!今年没时间去泰国,结果偶然在淡水也吃到了泰餐,有各种特服,应该可以长期开发!推荐女上,让她来,把灯再开亮一点,试下各种套餐
所在城市:大亚湾 出击者名:1T 老师名称:娜莎@TGLMNM68 上课价格:600/p 妹子年龄:二三十 妹子容貌:人照7分,照片美颜了 妹子身材:7分,155左右,正常体重,胸A,黄黑皮 服务态度:态度满分 环境设备:公寓,干净卫生 自由评论:看见群里有泰国妹的排雷消息,立马约了时间,地方很好找,妹子容貌可以,交了水费就一起去洗澡了,洗的很干净,还刷牙,讲卫生的妹子好评。到床上,妹子还会用中文问,先打炮再按摩?说好后妹子就从胸舔到下面,舔的十分舒服,口技也很好,差点被口出来,戴套开做,换了几个姿势出水。事后妹子就让躺着做精油按摩,按的非常的认真,非常的舒服~这点直接拉高了总体的评价。 综合评估:妹子颜值可以,身材一般,主打服务,泰国妹子一如既往的态度好,什么姿势都配合,完事儿还有按摩,真的很舒服(大大的好评),中文还可以一般沟通没啥问题,可以给个七八分推荐。 联系方式:@TGLMNM68
【花 名】 娜莎(泰) 【位 置】 惠州惠阳淡水 【介 绍】 年龄28岁左右,身高1.57m,体重44kg,胸A,人照比7成。 【学 费】 650一次<50分钟> 1300两次<100分钟> 【学习内容】 详情看课表 【联 系】 @TGLMNM68 -----------【学习报告】 ---------— 【老师艺名】:娜莎 【老师电报】:@TGLMNM68 【验证留名】:雷兵一号 【验证时间】:8.21 【所在位置】:淡水 【上课课费】:雷兵价 【是否代聊】:未知 【颜值身材】:与照片7分像,年龄26-30左右,身高157/88,黄黑皮,上半身有几处明显纹身,胸A乳头比较大,人工去逼毛,目前还有点扎。 【服务内容】:洗吹做,🐍,👅 【优点缺点】:优点,服务意识挺强的,有按摩。缺点,只懂一点中国话,不太好沟通哦。 【推荐程度】:泰国菜少妇,嘻嘻。 【个人发挥】:七夕吃的泰国菜,今天又吃了泰国妞,就跟泰国有…
🫕今日验证视频🫕 📱私聊约课👉 @TGLMNM68 📱双向私聊机器人👉 @MGYH12bot
惠阳 娜莎SPA技师 🉑肛交口爆颜射 pinned a photo
惠阳 娜莎SPA技师 🉑肛交口爆颜射🇹🇭 👗密码:158CM/34B/年龄26/体重49kg 🔥特色:💎肛交💎口爆💎野战💎车震💎颜射💎艳舞🔸日常中文交流🔸泰式技师🔸全身精油SPA🔸人工白虎🔸花样多 💝正常项目:舌吻/鸳鸯浴/无套吹/亲嘴/舔B/69/乳交/精油按摩/胸推/情趣内衣/手撕袜 💲额外收费项目:💎肛交+300💎口爆+100💎野战+100💎车震车震+100💎颜射+100💎丝足+100🔣自慰表演+100🔣 玩具+100 🔣自带服装+100 😮包时包夜可外出可陪酒(女友般的情绪价值给到位) 💰95口爆价格🔣: (30分钟1p)450(60分钟2p)900 👍课表:鸳鸯浴🔠無套吹🔠舔蛋🔠口爆出 💰98快餐价格🔣: (30分钟1p)450(60分钟2p)900 👍课表:鸳鸯浴🔠無套吹🔠亲嘴🔠可舔B🔠舔蛋🔠可配合多种姿势 💰98全套价格🔣: (50分钟1p)650(100分钟2p)1300 👍98全套课表:舌吻🔠无…
Channel photo updated
Channel created
Showing the 10 most recent of 10 posts we hold for @MGYH11. 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“惠阳 泰国小霞 🉑3p口爆车震颜射丝足” (@MGYH11), 1,392 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/MGYH11.
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.