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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
TypeChannel
Username@gunnimadedaxiangjiao
Description成都修车楼凤群 https://t.me/chengduxiuxiuche
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live17 September 2026
Measurements held24
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.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

38,60442,16740,385.516 August 2026 — 41,152 subscribers17 August 2026 — 41,589 subscribers18 August 2026 — 42,167 subscribers19 August 2026 — 42,007 subscribers20 August 2026 — 41,645 subscribers21 August 2026 — 41,058 subscribers23 August 2026 — 40,576 subscribers24 August 2026 — 40,289 subscribers25 August 2026 — 40,141 subscribers26 August 2026 — 40,041 subscribers27 August 2026 — 40,009 subscribers28 August 2026 — 39,926 subscribers29 August 2026 — 39,896 subscribers30 August 2026 — 39,856 subscribers31 August 2026 — 39,865 subscribers1 September 2026 — 39,876 subscribers2 September 2026 — 39,855 subscribers3 September 2026 — 39,757 subscribers6 September 2026 — 39,648 subscribers9 September 2026 — 39,449 subscribers11 September 2026 — 39,156 subscribers13 September 2026 — 38,710 subscribers15 September 2026 — 38,633 subscribers17 September 2026 — 38,604 subscribers16 August 202617 September 2026
24 measurements spanning 32 days, net -2,548. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 38,070–42,701 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
17 Sept 2026, 12:2138,604-29
15 Sept 2026, 10:0138,633-77
13 Sept 2026, 17:5838,710-446
11 Sept 2026, 23:5939,156-293
9 Sept 2026, 15:1439,449-199
6 Sept 2026, 08:1639,648-109
3 Sept 2026, 23:5839,757-98
2 Sept 2026, 17:4439,855-21
1 Sept 2026, 13:5539,876+11
31 Aug 2026, 10:5839,865+9
30 Aug 2026, 11:5339,856-40
29 Aug 2026, 13:3439,896-30
28 Aug 2026, 16:5739,926-83
27 Aug 2026, 17:0440,009-32
26 Aug 2026, 16:0240,041-100
25 Aug 2026, 18:3240,141-148
24 Aug 2026, 15:5540,289-287
23 Aug 2026, 00:2340,576-482
21 Aug 2026, 15:4941,058-587
20 Aug 2026, 13:2441,645first 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 September 2026
Posts held22 (13 August 2026 – 24 September 2026)
Views total24,579
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2385.2%
👍27.41%
🥰27.41%

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

24 Sept 2026, 15:11 UTC451 views0 reactionsread 26 September 2026
Photo

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

23 Sept 2026, 10:58 UTC628 viewsread 26 September 2026
Video

🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🤩亿级域名|78.COM 🤩官方飞投|充提自由 🤩NO钱包担保3亿U|可查验! 😀 东南亚大事件联合担保🤩🤩🤩🤩🤩(电子) 📱官方频道:@DF78 ➡️关注领VIP 🔝大品牌,实力派:78.COM 本身就是最好的辨识度。 ✅️香港六合彩 · 独家盈利无上限! 🤩所有的特码🤩🤩倍,封顶赔率! 🤩连码三中三🤩🤩🤩倍 🤩连码四中四🤩🤩🤩🤩🤩倍 🤩百家乐全网最高返水🤩% 🤩电子|棋牌|捕鱼返水🤩.🤩% 🤩十三水|德州自主组队,无抽佣; 🏆百家乐真人视讯台红🤩🤩万U; 💥新人超会赢,精彩时刻分享: 🥇六合彩 玩家用7个号码组合下注连码三全中(35注)➕四全中(35注),每注100U,结果开出4个号码。命中4注878倍及一注10000倍大奖,稳稳落袋135万U; 🥈PG电子 2.6万U本金,爆出268万U大奖!玩家一局逆袭,豪取268万U! 🥉DB真人 玩百家乐的老板,第一天存款50万U,连续7天每日…

22 Sept 2026, 01:44 UTC840 views0 reactionsread 26 September 2026
Photo

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

20 Sept 2026, 09:37 UTC≈1,110 views0 reactionsread 26 September 2026
Photo

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

13 Sept 2026, 08:30 UTC≈2,240 views2 reactionsread 26 September 2026
Photo

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

10 Sept 2026, 11:03 UTC≈2,540 views2 reactionsread 24 September 2026
Photo

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

7 Sept 2026, 11:18 UTC≈3,080 views4 reactionsread 24 September 2026
Photo

🌟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

7 Sept 2026, 11:14 UTC≈2,650 views1 reactionsread 24 September 2026
Photo

-----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

5 Sept 2026, 08:05 UTC≈2,660 views3 reactionsread 22 September 2026
Photo

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

3 Sept 2026, 08:28 UTC≈2,160 views1 reactionsread 19 September 2026
Photo

⚠️⚠️⚠️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

1 Sept 2026, 12:14 UTC≈1,580 viewsread 12 September 2026
Photo

🎰 玖玖红嫩妹工作室发放福利 📮 参与条件: 🎫 加入-玖玖红群聊(出击)版 └ 🎟️ 发言数大于 1 条 🎁 奖品内容: 💰️ 66元口令红包 × 2 💰️ pp现金抵用券200 × 5 💰️ 单p现金抵用券100 × 5 📅 开奖日期:(北京时间) 2026年09月07日 20时11分00秒

1 Sept 2026, 07:51 UTC≈1,420 views0 reactionsread 12 September 2026
Photo

#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.

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.