此女子好生勇猛👀
👍6❤1🔥1

Channel
@shaonvzhen9
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
184,128subscribers
+43,694 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001282713595 |
|---|---|
| Type | Channel |
| Username | @shaonvzhen9 |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/shaonvzhen9 |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 52% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 15:21 | 184,128 | +563 |
| 26 Oct 2026, 15:46 | 183,565 | +795 |
| 25 Oct 2026, 13:48 | 182,770 | +1,065 |
| 24 Oct 2026, 16:06 | 181,705 | +852 |
| 23 Oct 2026, 14:05 | 180,853 | +494 |
| 22 Oct 2026, 16:36 | 180,359 | +786 |
| 21 Oct 2026, 11:05 | 179,573 | +564 |
| 20 Oct 2026, 10:06 | 179,009 | +417 |
| 19 Oct 2026, 10:46 | 178,592 | +191 |
| 18 Oct 2026, 12:29 | 178,401 | +331 |
| 17 Oct 2026, 15:28 | 178,070 | +350 |
| 16 Oct 2026, 16:26 | 177,720 | +271 |
| 15 Oct 2026, 17:47 | 177,449 | +457 |
| 14 Oct 2026, 15:09 | 176,992 | +652 |
| 13 Oct 2026, 05:50 | 176,340 | +552 |
| 9 Oct 2026, 03:40 | 175,788 | +1,285 |
| 4 Oct 2026, 17:19 | 174,503 | +1,231 |
| 26 Sept 2026, 20:16 | 173,272 | +2,079 |
| 17 Sept 2026, 12:58 | 171,193 | +605 |
| 15 Sept 2026, 13:15 | 170,588 | first reading |
323 posts held, back to 6 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 197 pages of 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 109 of 110 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 323 (6 August 2026 – 27 October 2026) |
| Views total | 2,345,160 |
| Reactions total | 7,286 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 11:00 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 121 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.
13,604 reactions across 310 posts, in 40 distinct kinds. The most used accounts for 29.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,979 | 29.2% | |
| 🍌 | 3,318 | 24.4% | |
| 🤡 | 2,770 | 20.4% | |
| 👍 | 2,123 | 15.6% | |
| 💯 | 381 | 2.80% | |
| 🔥 | 243 | 1.79% | |
| 🍓 | 239 | 1.76% | |
| 🤯 | 207 | 1.52% | |
| 💩 | 52 | 0.382% | |
| 👎 | 41 | 0.301% | |
| 🥴 | 40 | 0.294% | |
| 🥰 | 30 | 0.221% | |
| 👏 | 18 | 0.132% | |
| 🎉 | 16 | 0.118% | |
| 🤮 | 16 | 0.118% | |
| 😨 | 12 | 0.088% | |
| 🤓 | 11 | 0.081% | |
| 😭 | 10 | 0.074% | |
| 🤣 | 10 | 0.074% | |
| 😈 | 9 | 0.066% | |
| 20 further kinds | 79 | 0.581% |
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 312 of the 323 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 13,604 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 323 most recent posts we hold, published 6 August 2026 to 27 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @shaonvzhen9. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 323 most recent posts we hold for this entry, published 6 August 2026 to 27 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
此女子好生勇猛👀
👍6❤1🔥1
北京时间2026年10月27日,就在金球奖颁奖典礼前夕 皇马球星 姆巴佩 辱华言论伤害国人情感 传闻女友被曝光深扒居然是知名网黄 多家国内品牌火速宣布终止合作 金球奖前后,姆巴佩在法国节目《The Bridge》采访中被问及最喜欢的表情包,他笑着提到那张把自己脸P到伟人形象上的合成图,并表示觉得很好笑,平时和朋友打游戏时经常发。这段原话迅速在中国网络发酵,被指伤害民族感情。此前游艇合影中的女子被网友扒出,疑似成人内容创作者Uma North(网名Comatozze),身上有“chance”纹身,与部分公开照片吻合。她在相关平台有大量成人向作品。目前双方关系仍属传闻尚未得到官方确认。疑似两人在游艇出海的照片在网上疯传后,Uma North的成人作品也被一并翻出,平台上可见多部合作类内容,播放量从几十万到数百万不等。 #姆巴佩 #姆巴佩言论 #姆巴佩辱华 #热搜 ps:镇长曾经也很看好姆巴佩,没想到竟然是这样的人 还找了个拍片女友…
👍6👎2🤡2
#互推频道 好康的?是新游戏吗?我看你就是完全不懂喔😘 让镇长来教你怎么登dua朗🈲 😚 次元少女研究所【专注cos少女】 🔞 Stripchat | ST放映厅【免费版】 🆗 明星网红pmv换脸【悦色AI】 😅 门哥の世界优质内容精选 👍 资源互换分享交流频道 ↖️上方都是近期镇长推荐的频道,注意身体健康
❤3👍3
#高颜值 #御姐 #极品 #校花 巨乳翘臀的极品高颜值御姐 户外口交骑乘的样子超级反差,骚气冲天 ps:这种极品尤物被调得服服帖帖的,真有本事👓 点击下方评论区查看完整版
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#少女 #情侣 #学生 #校花 超级美腿的高颜值学生妹被渣男男友泄密性爱私拍 一边口交一边玩玩具的样子超级反差 ps: 这么极品的馒头逼怎么就不操了👓 点击下方评论区查看完整版
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Showing the 12 most recent of 323 posts we hold for @shaonvzhen9. 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.
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.
@shaonvzhen9 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“少女镇【3.0版本】” (@shaonvzhen9), 184,128 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/shaonvzhen9.
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.