艺名:#若雪 年龄: 26岁 少妇 身高:163 体重:95 🐻: C #颜值车 #非常的烧 课费: #6p #9pp 包夜: #21张 地址: #天府新区 #天府五街 👉联系方式:@WaSaiya1122 公共群聊:https://t.me/chengduxiuxiuche

Channel
成都楼凤质量指标评估
@gunnimadedaxiangjiao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
38,604subscribers
-2,548 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002240256260 |
|---|---|
| Type | Channel |
| Username | @gunnimadedaxiangjiao |
| Description | 成都修车楼凤群 https://t.me/chengduxiuxiuche |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/gunnimadedaxiangjiao |
Topic
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 17 Sept 2026, 12:21 | 38,604 | -29 |
| 15 Sept 2026, 10:01 | 38,633 | -77 |
| 13 Sept 2026, 17:58 | 38,710 | -446 |
| 11 Sept 2026, 23:59 | 39,156 | -293 |
| 9 Sept 2026, 15:14 | 39,449 | -199 |
| 6 Sept 2026, 08:16 | 39,648 | -109 |
| 3 Sept 2026, 23:58 | 39,757 | -98 |
| 2 Sept 2026, 17:44 | 39,855 | -21 |
| 1 Sept 2026, 13:55 | 39,876 | +11 |
| 31 Aug 2026, 10:58 | 39,865 | +9 |
| 30 Aug 2026, 11:53 | 39,856 | -40 |
| 29 Aug 2026, 13:34 | 39,896 | -30 |
| 28 Aug 2026, 16:57 | 39,926 | -83 |
| 27 Aug 2026, 17:04 | 40,009 | -32 |
| 26 Aug 2026, 16:02 | 40,041 | -100 |
| 25 Aug 2026, 18:32 | 40,141 | -148 |
| 24 Aug 2026, 15:55 | 40,289 | -287 |
| 23 Aug 2026, 00:23 | 40,576 | -482 |
| 21 Aug 2026, 15:49 | 41,058 | -587 |
| 20 Aug 2026, 13:24 | 41,645 | first reading |
Engagement
22 posts held, back to 13 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 69 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.55%
- avg views ÷ 38,604 subscribers
- Avg views / post
- 1,760
- 14 posts measured
- Reaction rate
- 0.077%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 22 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 22 (13 August 2026 – 24 September 2026) |
| Views total | 24,579 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 13:02 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
- 614
- Videos
- 39
- Links
- 142
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 41s
- Average length
- 8s
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
27 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 85.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 85.2% | |
| 👍 | 2 | 7.41% | |
| 🥰 | 2 | 7.41% |
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 18 of the 22 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 13 August 2026 to 24 September 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
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艺名:#露露 年龄: 28岁 少妇 身高:165 体重:105 🐻: D #服务车 #高情绪价值 课费: #6p #10pp 包夜: #不包夜 地址: #高新区 #天府三街 👉联系方式:@Lulu5226 公共群聊:https://t.me/chengduxiuxiuche
艺名:#清清 年龄: 30岁 少妇 身高:160 体重:50kg 🐻: C➕ #服务车 #口粮车 课费: #4p #6pp 包夜: #12张 地址: #锦江区 #牛市口 👉联系方式:@qingqing5290 公共群聊:https://t.me/chengduxiuxiuche
艺名:#涵涵 年龄: 18岁 嫩妹 身高:160 体重:44kg 🐻: B #符文战士 #待开发 课费: #6p/10pp 包夜: 可包夜 2600 地址: #双流区 #东升 能否上门:可上门 ➕2张 联系方式: @hanhan663 公共群聊:https://t.me/chengduxiuxiuche
❤2
小圈:1200《QT服务两次90分钟》 小中圈:1400《QT服务两次90分钟》 中圈:1800《QT服务两次90分钟》 中大圈及洋酒:2200 《QT服务两次90分钟》 兼职: 服装售货员、瑜伽教练、 淘宝店主、卫校学生、会计师、幼师、 学生:川师在校、川音在校、成都广播学院、西南财大、成都理工大学、 模特: 车展模特、 足球宝贝、 平面模特、 胸模、 腿模、 艺人: 三线艺人、节目主持人、进口洋酒, 酸甜可口兼职模特和艺人 【全套★海选★星级酒店工作室】 海选模式资源丰厚妹多一直以来都是以口碑为主环境好安全可靠。 A套餐 $898标准服务流程70分钟简单口,口不出水调情,吹,胸推 T推,过水,口沙简单服务①次★★★★★★★★★★★★★ B套餐 $1098标准服务流程90分钟,全身波推,漫游,吹拉弹唱,波推 臀推,阴推,干漫,水漫,刮痧,过水,吹箫,水磨,全套服务②次 ★★★★★★★…
❤2
🌟澜沐湾🌟【项目介绍】: #成都 #柔式 #泡澡 #洗浴 #✈️ 项目-1 价格/时间: 388+10 元【一次性费用】项目内容《泡澡,搓澡,牛奶,洗头,洗脸,掏耳朵,吹头发,臀疗,,SPA,私密保养,3套服装,迷幻灯光+随机舞蹈》无需加钟,110分钟无限火力《时间范围内》 项目-2 《不泡澡》 价格/时间:288+10元【一次性费用】项目内容《淋浴,换装,3套衣服,迷幻灯光+随机舞蹈,臀疗,按摩,SPA,私密保养,无需加钟,60分钟 无限火力《时间范围内》 开车导航:(单击下方可复制) 蜀汉路365号 店名澜沐湾水疗,无需预约到店直接报小熙这个价格就能安排,不报就不是这个价, 澜沐湾客服: @cxqaz18 群聊,群里有积分,兑换优惠劵,优惠力度相当大 https://t.me/cxwlkqylf88
❤4
-----成都天鹅湖----- 主营:嫩妹 胸模 洋酒 转运珠 频道 @tudoucheku 群聊 @TEH820 双向 @lanli123_bot 联系: @CDteh820 https://t.me/tudoucheku
❤1
艺名:#妍妍 年龄: 18岁 嫩妹 身高:158 体重:43 🐻: 掌中宝 #颜值车 #嫩妹车 课费: #5p #8pp 包夜:22张 外出:可外出 加200 地址: #双流区 #东升 👉联系方式:@yanyan66669 公共群聊:https://t.me/chengduxiuxiuche
❤3
⚠️⚠️⚠️黑车警告⚠️⚠️⚠️ 狼友想要无套,以为找到了一个能无套的车,开开心心的转了定金钱,结果惨遭拉黑。 一般来说正经的老师不会让无套,加钱也不行。 再一个这种骗子的频道里多半是不会给你挂具体上课位置在哪的,这是为了在各个城市的飞机群里广撒网,注意识别 -----------------------分割线 600的价位有很多代聊,网图,黑车,注意甄别真假! 美女总是稀有资源,在看到某个老师的图片美好的想恋爱时,内心要赶紧敲响警钟! 最后再次提醒 莫以楼凤价,欲日天仙批 ⚠️⚠️⚠️黑车警告⚠️⚠️⚠️
❤1
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#成都 高新区☛ 璎珞丝足半套工作室 🈺 12:00--12:00 年均20-26岁,上下可以摸,丝袜随便撕,60分钟课程,停车方便,口嗨勿扰 官方v:☞ yingluo9001 预约客服:☞ @yingluoszkb 频道: https://t.me/yingluosizukb 🐧:3773782962 注: #成都实体连锁#成都丝足半套
Showing the 12 most recent of 22 posts we hold for @gunnimadedaxiangjiao. 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
@gunnimadedaxiangjiao 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
- 30 August 2026
- Most recent edit
- 1 September 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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.
@chengduxiuxiuche · 51,97411 posts云舒😍朋友圈
@yunsutts · 2594 posts幸运抽奖导航
@LotteryNavChannel888 · 30,7853 posts十一澳门小姐姐
@gjfchhd · 1,1292 posts成都抓龙筋金元宝
@jinsui777 · 4472 posts【成都半套】【成都全套】95、98成都会所|一手资源|🔥🔥🔥
@CDPC168 · 1,3811 post成都澜沐湾解压水疗小屋(泡泡浴)✈️
@cxwlkqylf88 · 4,4391 post玖玖红精品车库🚗(选人版)
@jiujiuhongwuwu · 1,3321 post全国包养萝莉/处女/学妹(广告频道)
@jiujiuwaiwei8 · 41 post78.COM-官方频道@DF78
@tg78com · 19,9921 post天鹅湖(成都榜) 转运·洋酒·模特
@tudoucheku · 9,8981 post璎珞
@yingluosizukb · 1611 post成都会所半套全套/酒店/外围/商务/spa水疗👠
@zxcv77668899 · 15,1521 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“成都楼凤质量指标评估” (@gunnimadedaxiangjiao), 38,604 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/gunnimadedaxiangjiao.
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.