杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】: #好评 【优势】嫩 【不足】暂时没发现 【出击时间】:8月14日 【老师花名】:#(拱墅)萱萱大魔王 (@xxdmw678) 【出击留名】:@k1d1142 【开课位置】:拱墅 【修车水费】:600P 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ④ 毒龙 【人照评价】:人照8.5分相似,真人更可爱一点 【身材评价】:无纹身,身材匀称 【胸部评价】:C+ 【鲍鱼评价】:毛量正常,水特别多 【服务评价】:课表上的都有 【态度评价】:非常配合 【环境评价】:新租的回迁房,没住多久非常干净整洁 【过程描述】: #流程细节:(大于100字) 今天闲来无事,看到萱萱老师突然发动态开课了,刚好也在附近就约上了,来到课室,第一眼是一个非常嫩的妹妹,给了水费后就开始洗澡,老师非常主动…

Channel
萱萱大魔王朋友圈
@xxdam8
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,439subscribers
+4 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002844072778 |
|---|---|
| Type | Channel |
| Username | @xxdam8 |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/xxdam8 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 00:53 | 3,439 | +4 |
| 14 Aug 2026, 16:45 | 3,435 | first reading |
Engagement
20 posts held, back to 24 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 52.0%
- avg views ÷ 3,439 subscribers
- Avg views / post
- 1,790
- 18 posts measured
- Reaction rate
- 0.037%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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. It is computed over the 7 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 20 (24 July 2026 – 14 August 2026) |
| Views total | 32,212 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 16:45 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
- 1m 01s
- Average length
- 12s
Measured directly from 5 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
6 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 🔥 | 1 | 16.7% |
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 7 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 6reactions 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 24 July 2026 to 14 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
我在杭州日报上榜了~ 【日报主群】@hangzhouribao9 【日报榜单】 @hangzhouribao999 【工兵专区】@ribao_shixi 【视频福利】 @hzrbfls https://t.me/hz_news9
https://t.me/hznmg23
开课了宝子们可以来开凿了
明天开课宝子们可以预约了宝宝们
休息一段时间 宝宝们 信息我就统一不回了 开课会发频道的
休息两天哥哥们骑车摔了
开课了宝子们
我觉得这个时候呢 你该想我了 开课啦宝子们😜
❤1
宝子们我来拱墅了小区房
杭州深情颜选区专用报告模板: https://t.me/hangzhou_000 【验证留名】:nksom 【验证时间】:7月30日 【老师艺名】:萱萱 【老师ID】:@xxdmw678 【修车费用】:工兵P 【服务项目】:✅舌吻 【身高身材】:身高160左右腿长,纹身无,凶器大,皮肤手感 【颜值相似】:人照相似程度9,颜好看,气质/穿搭如何 【卫生环境】:课室整洁/上课无抽烟/有漱口水、浴巾 【整体评价】:好评 【推荐程度】:原价推荐 【上课过程】: 看到群看到新上了工兵,刚好今天火气有点旺盛,便报名工兵,次日下午,按时到达老师楼下,开门后发现长相与照片视频基本一致,年轻很嫩,身材不错,很有肉感,天热进门就递冰水休息一会便带我去洗浴,主要平时喜欢一个洗,所以没让老师陪伴。洗完擦干躺床上开始嫩妹三件套,口技不错无齿感,不喊停,能一直口这点好评。亲手戴套,随后便是老汉推车,过程中老师反馈很足,情绪价值拉满,水也很多,感觉很棒,…
❤1🔥1
萱萱大魔王朋友圈 pinned a photo
Showing the 12 most recent of 20 posts we hold for @xxdam8. 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 — 1,082,977 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“萱萱大魔王朋友圈” (@xxdam8), 3,439 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/xxdam8.
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.