老师人美腿长,听话懂事配合度高,胸不大不小刚好,很软。屁股很翘,会主动舌吻,口的时候会让她舔她,全程互动性很高, 下面也很紧,做爱的时候骚的没边,什么姿势都会配合,不错! 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
❤2

Channel
@vip8china
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
91,242subscribers
-3,251 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002086767612 |
|---|---|
| Type | Channel |
| Username | @vip8china |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/vip8china |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 05:08 | 91,242 | -115 |
| 29 Aug 2026, 01:27 | 91,357 | -64 |
| 27 Aug 2026, 22:55 | 91,421 | -253 |
| 27 Aug 2026, 01:52 | 91,674 | -84 |
| 25 Aug 2026, 23:24 | 91,758 | -112 |
| 25 Aug 2026, 01:28 | 91,870 | -326 |
| 23 Aug 2026, 11:38 | 92,196 | -159 |
| 21 Aug 2026, 19:28 | 92,355 | -234 |
| 20 Aug 2026, 15:01 | 92,589 | -95 |
| 19 Aug 2026, 11:37 | 92,684 | -310 |
| 18 Aug 2026, 12:22 | 92,994 | -189 |
| 17 Aug 2026, 12:46 | 93,183 | -239 |
| 16 Aug 2026, 04:23 | 93,422 | -276 |
| 14 Aug 2026, 12:04 | 93,698 | -218 |
| 12 Aug 2026, 23:33 | 93,916 | -128 |
| 12 Aug 2026, 00:55 | 94,044 | -116 |
| 11 Aug 2026, 01:13 | 94,160 | -140 |
| 10 Aug 2026, 03:51 | 94,300 | -142 |
| 9 Aug 2026, 01:20 | 94,442 | -56 |
| 8 Aug 2026, 02:47 | 94,498 | first reading |
74 posts held, back to 3 May 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 50 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 20 of 57 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 74 (3 May 2026 – 20 August 2026) |
| Views total | 76,435 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 01:25 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.
Measured directly from 1 video 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.
74 reactions across 29 posts, in 8 distinct kinds. The most used accounts for 86.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 64 | 86.5% | |
| 🎉 | 2 | 2.70% | |
| 👀 | 2 | 2.70% | |
| 👍 | 2 | 2.70% | |
| 👎 | 1 | 1.35% | |
| 👏 | 1 | 1.35% | |
| 💯 | 1 | 1.35% | |
| 🔥 | 1 | 1.35% |
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 35 of the 74 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 3 May 2026 to 20 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.
老师人美腿长,听话懂事配合度高,胸不大不小刚好,很软。屁股很翘,会主动舌吻,口的时候会让她舔她,全程互动性很高, 下面也很紧,做爱的时候骚的没边,什么姿势都会配合,不错! 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
❤2
若水 温暖 看到可以约了 我看到消息立马联系迪总 迪总给我发完位置 刚见面 看着温暖的身姿 依旧还是这么有感觉 长时间不见面 也没有胖 进屋一起玩的鸳鸯戏水 洗的澡 洗的时候 我就开始摸着她的熊 手指扒拉 他的乳头看着她微微泛红的 脸心里满满的成就感 他用奶子在我的后背开始摩擦 刺激的我神经都开始膨胀 洗完澡了就去床上开始做的口活 口的时候我的牛牛已经邦邦硬了 手上也没有闲着 我摸着他的逼 小水特别多 我直接扶着他的腰 开始后入 紧致的小逼进去也是很爽一松一紧 很有摩擦力 我中途让他换个体位 女上位 上来一瞬间就感觉很深 小腰也是开始先后的扭动 跟骑马的感觉一样 最后在在传教士体位 射出 这段时间的积攒的精液 总体来说很是舒服 没有一点不完美! 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
❤3👍1
若水 温暖 可以预约了 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8020850257
听说177回来了 几个月没见还是有点想念 果断联系迪总约时间 还是一如既往的骚 没有浴缸 是淋浴的 洗澡的时候直接就给叼上了 玩了 一会深喉 差点给我整出来 赶紧叫停 擦干上床 69 玩了一会 戴套提枪上马 1米多的大长腿扛到肩上 玩了一会发射 结束 时间有点仓促,但是特殊时期可以理解。 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
锦绣里177 可以约了 后面会陆续上人 阿迪甄选: @kefu18880 【双向机器人】✈️@shuangxiangadi_bot
❤2🎉1👀1
#外围 #中高 #初恋 #露思 年龄02 身高167 体重45kg 🐻C 西安首开 平面模特 颜值高长相高级有气质 顶级身材 比例协调 S曲线 腿修长 A4腰 翘臀 胸型好 翘臀 皮肤白又光滑 穿衣高级 会聊天 情商高 爱好广泛 弹琴 跳舞 唱歌 情绪价值高 配合度高 所有姿势都可满足 体质敏感 水多 粉嫩 🉑舌吻🉑69 推荐指数⭐️⭐️⭐️⭐️⭐️ 长春会所联合西安会所 📱📱📱 联系TG号:阿布 双向机器人:阿布助理 每天中午12点至凌晨4点均在线 ⭐资料持续更新中
👎1🔥1
#外围 #中高 #初恋 #思颖 年龄01 身高1.66 体重50kg 🐻C 长相好看颜值高 身材黄金比例 皮肤光滑细嫩 说话好听 情商高 体贴温柔 会聊天 衣品好 配合度高 所有姿势都可配合 腿直 平坦小腹 胸型好 臀也翘 会玩 口活绝佳 待客去男友 🉑舌吻 🉑69 长春会所联合西安会所 📱📱📱 联系TG号:阿布 双向机器人:阿布助理 每天中午12点至凌晨4点均在线 ⭐资料持续更新中
❤1
#外围 #中高 #芭芭拉 #Kk 01年健身美妆博主,车模,明星即视感,来自江苏,身高175体重108斤,熊c挺大且有马甲线,皮肤状态特别好高颜值气质出众,走在街上回头率百分之80纯纯女神上路,全身上下没有纹身没有疤痕通体雪白,气质外形比较突出身材紧致前凸后翘,聊天谈吐开朗健谈,女友感拉满,经验少经不起挑逗敏感多水,只接素质,每天限定,莞式服务已培训,自带制服sw,大勿扰 短期不定期兼职,约到就是赚到直接省去一大笔恋爱费。 📱📱📱 联系TG号:阿布 双向机器人:阿布助理 每天中午12点至凌晨4点均在线 ⭐资料持续更新中
🎉1💯1
【会所名称】:神秘 【技师年龄】:21 【身高体重】:169 105 【技师🐻围】:b 【服务态度】:熟客可约 可以安排 熟客可约 可以安排 熟客可约 可以安排
【会所名称】:神秘 【技师年龄】:02 【身高体重】:168 110 【技师🐻围】:b 【服务态度】:熟客可约 可以安排 熟客可约 可以安排 熟客可约 可以安排
#外围 #西安 #繁花(原好运来) #安琪 05年明星安琪 兼职 身高178cm 体重62kg 胸E杯 🉑配合🐍吻 69 助洗‘ 空乘专业在校学妹 偶尔兼职每天只接三单 微胖前凸后翘 欧美版身材 有礼貌素质 配合度高 喜欢有肉感胸大首选! 技师人照9成像,温柔随和,身材好,大长腿,大胸,一起洗澡洗的很认真,洗澡的时候忍不住摸技师的大胸,软软的,手感不错,洗完硬的不行。口的包裹感强,无齿感,不喊停就不停。口的来感觉了,马上戴套套,先观音座莲,水很多很紧,热热的,翘臀坐的我一起一浮,换传教士主动开冲,妹子十分配合,没有丝毫不耐烦,反馈很真实,没有刻意去淫叫,表情比较娇羞。换后入,日感极佳,屁股翘,肉肉的,在撞击中结束。喜欢大胸御姐的,不能错过。 》西安洗浴会所上门外卖交流群《 西安会所外卖 📱📱📱 联系TG号:阿布 双向机器人:阿布助理 每天中午12点至凌晨4点均在线 ⭐资料持续更新中
Showing the 12 most recent of 74 posts we hold for @vip8china. 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“长春会馆/资料攻略” (@vip8china), 91,242 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/vip8china.
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.