👩🏻💼艺名: 美惠子 📍地址:贵阳/云岩区 p600 pp1000 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #可上门 #69 #舌吻 📊 1条车评,综合评分8.92 好评 100% |人照 9 |服务 8.5

Channel
贵阳玫瑰山庄🅥认证榜
@gymgrzb
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
11,070subscribers
-333 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001052902370 |
|---|---|
| Type | Channel |
| Username | @gymgrzb |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/gymgrzb |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 19 Sept 2026, 15:35 | 11,070 | -91 |
| 17 Sept 2026, 01:38 | 11,161 | -53 |
| 15 Sept 2026, 02:01 | 11,214 | -51 |
| 13 Sept 2026, 12:39 | 11,265 | -123 |
| 11 Sept 2026, 14:40 | 11,388 | -157 |
| 8 Sept 2026, 23:55 | 11,545 | +22 |
| 5 Sept 2026, 17:39 | 11,523 | +9 |
| 3 Sept 2026, 19:40 | 11,514 | +19 |
| 2 Sept 2026, 12:03 | 11,495 | +5 |
| 1 Sept 2026, 13:13 | 11,490 | +24 |
| 31 Aug 2026, 12:25 | 11,466 | +2 |
| 30 Aug 2026, 11:35 | 11,464 | -27 |
| 29 Aug 2026, 11:48 | 11,491 | +12 |
| 28 Aug 2026, 13:12 | 11,479 | +22 |
| 27 Aug 2026, 16:13 | 11,457 | +7 |
| 26 Aug 2026, 18:37 | 11,450 | +12 |
| 25 Aug 2026, 16:13 | 11,438 | +7 |
| 24 Aug 2026, 15:39 | 11,431 | +2 |
| 22 Aug 2026, 22:29 | 11,429 | +8 |
| 21 Aug 2026, 12:23 | 11,421 | first reading |
Engagement
29 posts held, back to 3 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 42 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.51%
- avg views ÷ 11,070 subscribers
- Avg views / post
- 832
- 9 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 29 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 1 September 2026 |
|---|---|
| Posts held | 29 (3 August 2026 – 1 September 2026) |
| Views total | 7,487 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:52 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
- 3m 06s
- Average length
- 10s
Measured directly from 18 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.
Recent posts
👩🏻💼艺名: 小馨 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#嫩妹 #69 📊 3条车评,综合评分9.66 好评 100% |人照 9.8 |服务 9.67
👩🏻💼艺名: 啵啵鱼 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #可上门 #毒龙 📊 0条车评,综合评分 好评 0% |人照 |服务
全国同城导航(持续更新) 华北: 天津|石家庄|唐山|邯郸|邢台|保定|沧州|廊坊|衡水|任丘河间 华东: 常州|扬州|临沂 华中: 郑州|开封|新乡|安阳|鹤壁 华南: 佛山|福州|厦门|桂林 | 东莞 | 深圳 | 海南 西南: 贵阳|遵义|绵阳|乐山|眉山|昆明 西北: 西安|兰州|内蒙古|西宁 东北: 沈阳|大连|长春 工具: TG创作者中心 中文修车助手 点击申请加入
👩🏻💼艺名: 九儿 📍地址:贵阳/南明区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #可上门 📊 1条车评,综合评分5 好评 0% |人照 5 |服务 5
👩🏻💼艺名: 小玉玉 📍地址:贵阳/观山湖区 p600 pp1200 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#嫩妹 #可上门 #舌吻 📊 1条车评,综合评分9.83 好评 100% |人照 10 |服务 10
👩🏻💼艺名: 清清 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #69 #毒龙 📊 1条车评,综合评分10 好评 100% |人照 10 |服务 10
👩🏻💼艺名: 晨曦 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#嫩妹 #69 #舌吻 📊 3条车评,综合评分9.48 好评 100% |人照 9.33 |服务 9.97
👩🏻💼艺名: 小玉玉 📍地址:贵阳/观山湖区 p600 pp1200 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#嫩妹 #可上门 #舌吻 📊 1条车评,综合评分9.83 好评 100% |人照 10 |服务 10
👩🏻💼艺名: 九儿 📍地址:贵阳/南明区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #可上门 📊 1条车评,综合评分5 好评 0% |人照 5 |服务 5
👩🏻💼艺名: 清清 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#御姐 #69 #毒龙 📊 1条车评,综合评分10 好评 100% |人照 10 |服务 10
👩🏻💼艺名: 晨曦 📍地址:贵阳/云岩区 p600 pp900 📱电报:点击获取📱双向:双向联系 📜车评:开始撰写👀车评:查看车评 🏷️标签:#嫩妹 #69 #舌吻 📊 2条车评,综合评分9.5 好评 100% |人照 10 |服务 10
Showing the 12 most recent of 29 posts we hold for @gymgrzb. 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.
Posts edited after publishing
@gymgrzb edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 8 August 2026
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.
@anyang2026 · 3,5561 post云南昆明出击π(原pdd)
@chujipai · 12,7451 post大连退休干部吹水群
@dlfixcar1 · 6,2501 post大连线下频道
@dlyp6 · 47,0201 post广州佛山修车出击大队🦅
@foshan16886 · 29,6951 post衡水/沧州/辛集 资源🅢(河北)
@FZcar · 3,7411 post开封欢乐谷
@guagua1120 · 27,9511 post福建福州有福之州
@guilinshan3 · 19,6201 post遵义仁怀🅥交流群
@gzlmzy · 19,9491 post邯郸.邢台老司机(河北)
@HanDanLs · 14,9951 post河北保定石家庄花花交流群🅢
@hebdhhjz · 21,8281 post深圳修车大队
@lwheibang · 11,9381 post内蒙古·呼和浩特·修车茶餐厅🍵
@Nmg_0471_Hhht · 10,6071 post东莞修车交流群
@olddriverdgqun · 2,5951 post临沂出击互助协会🅢(山东)
@SDlinyi · 9,8391 post沈阳老司机(辽宁)
@shenyangCN · 20,0781 post贵阳张杰老司机高端海选总群
@SPA50099 · 8,8491 post河北唐山小布说事🅢2.0
@tangshanCN · 11,9171 post天津意风出勤榜🅢2.0
@tianjinYFJ · 41,3871 post厦门鼓浪屿之家
@xiamen465 · 9,3961 post西宁炮兵团【修车群】💗颜值天花板💗
@Xnth1740 · 23,2391 post郑州新乡轩交流💕
@xx6699xxu · 3,1681 post绵阳-故事汇
@ycxcly520 · 10,7801 post河南郑州优选烩面馆
@zzyx1 · 33,6161 post
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“贵阳玫瑰山庄🅥认证榜” (@gymgrzb), 11,070 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/gymgrzb.
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.