【标签】#武侯区 #代聊 #嫩妹 #颜值车 #身材车 #服务车 #视觉感强 #大屁股 #逼紧 #瑜伽 #情绪价值高 #态度好 #表情到位 #会迎合 #舔咪咪 #舔蛋蛋 【花名】#拾叁 【地址】#川音附近 【车牌】@shisang997 【课费】6p/10pp #6/10 【服务】亲胸 舔蛋 口 舌吻 指滑 丝袜 制服 69 【硬件】老师20左右,去美颜就是本人,小嫩妹一只。说话温柔,皮肤白皙,胸型漂亮,相处氛很好会聊天情绪价值高,嫩嫩的可爱又温柔,没有一点风尘气不冷场。陪洗中规中矩,会耐心帮你擦水这些。到床上就开服务,舔胸舔蛋,都会舔得很仔细,背面还有指滑漫游,舌吻还是很主动的,口活很卖力,无齿感,不喊停不停,舔的还是很舒服的,69舔批的时候老师很敏感,值得一说就是逼很好看,又嫩,很爽,门户很紧很湿包裹感强,叫声自然,屁股大适合后入,后入反馈明显。 【锐平】态度好,不做作,反馈真实,性格很好值得推荐 老师售后投诉:@x…

Channel
成都会议室车库
@huiyishick
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,851subscribers
-1,467 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001849308948 |
|---|---|
| Type | Channel |
| Username | @huiyishick |
| Description | 狼友的庇护所 老师的家园 上牌: @xiaopengmvp 讨论群: @cdxchuiyishi |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/huiyishick |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:25 | 17,851 | -166 |
| 13 Aug 2026, 05:37 | 18,017 | -146 |
| 12 Aug 2026, 02:52 | 18,163 | -197 |
| 11 Aug 2026, 04:23 | 18,360 | -206 |
| 10 Aug 2026, 02:12 | 18,566 | -315 |
| 9 Aug 2026, 01:40 | 18,881 | -233 |
| 8 Aug 2026, 01:51 | 19,114 | -204 |
| 6 Aug 2026, 22:24 | 19,318 | no change |
| 6 Aug 2026, 20:16 | 19,318 | first reading |
Engagement
6 posts held, back to 28 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 21 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.48%
- avg views ÷ 17,851 subscribers
- Avg views / post
- 979
- 5 posts measured
- Reaction rate
- 0.05%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 6 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. It is computed over the 2 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 6 (28 July 2026 – 10 August 2026) |
| Views total | 4,893 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 01:58 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
- Photos
- ≈2,160
- Videos
- ≈150
- Links
- ≈283
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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 2 of the 6 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 28 July 2026 to 10 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
【标签】#成华区 #代聊 #嫩妹 #刚下水 #无风尘气 #皮肤白 #大胸 #情绪价值高 #态度好 #敏感车 #大蟒蛇 #颜值车 #态度车 #服务车 #巨乳 #声音好听 #表情到位 #会迎合 #胸推 #舔咪咪 #舔蛋蛋 #女仆装 #会叫爸爸 #叫老公 【花名】#涵涵 【地址】#昭觉寺 【车牌】@cdchanhan 【课费】7p/12pp #7/12 【服务】鸳鸯浴 口 大蟒蛇 69 调情 【硬件】妹妹人照8分,身高165体重80几,属于排骨嫩妹,全身无赘肉,一双铅笔腿又长又直,这双腿穿上丝袜简直可以爽死人,腰也相当细。排骨身材带来的是A+的胸型掌中宝。妹妹热情主动,情绪价值高,洗完后就直接大蟒蛇开局,这谁顶得住。69爱好者也有福了,炫B无异味。口活也不错,不喊停就不要停,舔蛋一流。逼紧水多,湿滑,女上特别会摇,电动小马达,秒脆皮妥妥的。看着翘臀细腰长腿后入也是一绝,很难顶得住! 【锐平】 :排骨嫩妹,大长腿,大蟒蛇,反差会喊爸爸…
成都会议室车库 pinned Deleted message
【标签】#武侯区 #代聊 #嫩妹 #身材车 #颜值车 #态度车 #女上永动机 #主动 #大蟒蛇 #兼职 #颜值不错 #身材控 #感觉车 #态度车 #陪洗 #吹箫 #调情 #紧湿穴 #水多 #敏感 #粉嫩 #配合 #主动 #女上 #骚浪 #丝袜 #制服 #情绪价值 #反差 【花名】#南门香香 【地址】#峰度天下 【车牌】@xiangxiangmm668 【课费】6p/9pp #6/9 【服务】鸳鸯浴 胸推 舔蛋 深喉 丝袜 制服 亲咪咪大蟒蛇 口爆 【硬件】妹妹人照8分,身高160体重100左右。整体看起来身材颜值都不很不错的,有大花臂,大翘臀。妹妹属于不冷场,自来熟,情绪价值高,进门就抱着说个不停,感觉像女朋友一样!洗完澡就是大蟒蛇伺候,直接蛇到天昏地暗,配合着一具没有赘肉的少女酮体,根本把持不住。胸部饱满圆润,屁股肥而不腻。口活深喉到位,有点扛不住。这个身材这个体型简直是后入的绝配,骑上小马驹,快乐无边。感觉到位还…
【标签】#锦江区 #代聊 #御姐 #少御 #颜值车 #身材车 #态度车 #敏感车 #很主动 #反差 #水多 #逼紧 #服务车 #配合度高 #可爱型 #鸳鸯 #裸口 #漫游 #指滑 #六九 #SM #反差 【花名】#紫儿 【地址】#市中心 【车牌】@zier1166 【课费】7p/12pp #7/12 【服务】鸳鸯浴 胸推 舔蛋 深喉 丝袜 制服 亲咪咪 蛇吻 口爆 SM 【硬件】妹子年龄20岁左右,人照8分成相似,170的身高加上短裙大长腿,给人的视觉冲击很强烈。见面就是热情的嘘寒问暖,拿水递鞋,情绪价值够高。沟通顺畅,很有亲和力,服务热情主动,体验感超强。主动脱了陪洗,一对天然C胸,半球形的胸型太好看了,饱满柔软。小姐姐口活比较好,深喉也厉害,没有唇齿感,接着69深喉这些都是基本操作。下面湿润紧致,感觉越插水越多,叫声特别甜美,时不时叫几声爸爸,那种反差感简直不摆了。喜欢特色SM的嫩妹赶紧冲! 【锐平】 :…
【标签】#武侯区 #代聊 #嫩妹 #颜值车 #态度车 #嫩妹三件套 #蝴蝶逼 #共浴 #裸吹 #爱爱 #浅吻 #舔胸 #69 #水多 #配合 #身材车 #颜值车 #态度车 #主动 #大蟒蛇 #兼职 #颜值不错 #身材控 #感觉车 #态度车 #陪洗 #吹箫 #调情 #紧湿穴 #水多 #敏感 #丝袜 #制服 #情绪价值 #反差 【花名】#小宝 【地址】#交子大道 【车牌】@maomaojiu 【课费】6p/12pp #6/12 【服务】鸳鸯浴 胸推 舔蛋 深喉 丝袜 制服 亲咪咪 舌吻 【硬件】老师基本与照片一致,属于可爱嫩妹类型,看起来就是18岁邻家嫩妹的样子,清清纯纯的。体型有点微胖,肤色黄皮,有少量纹身,胸有C加,属于童颜巨乳了。乳晕乳头都小,这种柰子最爽了,小奶头吃起来更是一绝。户型是蝴蝶型,毛量较多疏于打理,炫B无异味,69配合度还是好,妹儿口活没什么问题,不喊停就不停。舔几口就哗哗流水,插入紧致湿滑。换…
❤1
Showing the 6 most recent of 6 posts we hold for @huiyishick. 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.
Citation-graph rank
Citation-graph rank — 746,800 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 2 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“成都会议室车库” (@huiyishick), 17,851 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/huiyishick.
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.