@azi333999

Channel
成都楼凤阁丨车库
@cdrbl
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
26,192subscribers
+1,157 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001996773094 |
|---|---|
| Type | Channel |
| Username | @cdrbl |
| Created | Between 1 October 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/cdrbl |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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 |
|---|---|---|
| 11 Sept 2026, 04:39 | 26,192 | +163 |
| 8 Sept 2026, 08:16 | 26,029 | +113 |
| 5 Sept 2026, 02:01 | 25,916 | +67 |
| 3 Sept 2026, 11:00 | 25,849 | +31 |
| 2 Sept 2026, 09:13 | 25,818 | +30 |
| 1 Sept 2026, 12:45 | 25,788 | +8 |
| 31 Aug 2026, 15:04 | 25,780 | +33 |
| 30 Aug 2026, 12:54 | 25,747 | -36 |
| 29 Aug 2026, 10:48 | 25,783 | +125 |
| 28 Aug 2026, 11:04 | 25,658 | -4 |
| 27 Aug 2026, 12:34 | 25,662 | +111 |
| 26 Aug 2026, 12:36 | 25,551 | +34 |
| 25 Aug 2026, 11:08 | 25,517 | +52 |
| 24 Aug 2026, 07:43 | 25,465 | +26 |
| 22 Aug 2026, 14:48 | 25,439 | +43 |
| 21 Aug 2026, 08:28 | 25,396 | +65 |
| 20 Aug 2026, 10:56 | 25,331 | +23 |
| 19 Aug 2026, 09:54 | 25,308 | +26 |
| 18 Aug 2026, 11:06 | 25,282 | +67 |
| 17 Aug 2026, 11:12 | 25,215 | first reading |
Engagement
19 posts held, back to 8 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 47 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.60%
- avg views ÷ 26,192 subscribers
- Avg views / post
- 943
- 15 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- of 19 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 3 September 2026 |
|---|---|
| Posts held | 19 (8 August 2026 – 3 September 2026) |
| Views total | 14,143 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:47 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
- 5s
- Average length
- 5s
Measured directly from 1 video 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
#星星 #锦江区 #服务型少妇 ✨351 车牌: @xingxing00880 👑课时费:4p(50min)7pp(90min)👑 👑#服务车 👑#态度车 👑年龄:30 身高:165体重:100🐻c+👑 👑特色:👑带按摩的服务控,全套会所服务 👑服务:👑按摩,胸推,臀推,69,dl,过水,口爆 👑点评:新疆老师,五官立体,异域风情,颜值高,身材丰满,服务拉满,开4性价比高 https://t.me/cdlfls
#爱丽丝 #锦江区#御姐 ✨350 车牌:@Alice01669 👑课时费:7p(50min)12pp(90min)👑 👑#身材车 👑#态度车 👑年龄:26身高:165体重:48 🐻B+👑 👑特色:👑北大毕业,异域风情,比较骚,紧 👑服务:👑亲,吹,做 👑点评:刚下海还比较紧,名牌大学毕业,谈吐不错,服务较少,脸比较好看,最近在减肥,肚子有点皱纹,整体开7较软,不过整体比较推荐 https://t.me/cdlfls
#艾米 #成华区 #御少 ✨349 车牌: @Amy03999 👑课时费:7p(50min)12pp(90min)👑 👑#颜值车 #态度车 #蛇蛇精 #巨乳 #感觉车 #女友感 #大蟒蛇 👑#人工白虎一线天逼 👑年龄:27左右身高:163左右体重:100多斤,🐻C+👑 👑特色:👑颜值好看,洋马感十足,奶子很大,手感巴适,骑乘式拥抱,大蟒蛇不断,人工白虎一线天逼。 👑服务:👑鸳鸯浴,🐍吻,大蟒蛇,无套吹箫,舔批,爱爱。 👑点评:颜值御少,异域风情浓厚,洋马感十足,微胖身材,腰部有赘肉,有小肚子,健谈爱笑,说话声音好听,情绪价值饱满,主打大蟒蛇,服务不多,比较生疏,还需加强,爱爱配合,感觉不错。 https://t.me/cdlfls
#米娅 #武侯区#御姐 ✨348 车牌: @Mia03558 👑课时费:7p(50min)12pp(90min)👑 👑#身材车 #态度车 #巨乳👑 👑年龄:23身高:170体重:120🐻F👑 👑特色:奶子比头大,罩子兜不下,蛇蛇精,很骚,有点反差👑 👑服务:69,乳交,蛇吻,陪洗👑 👑点评:奶子是真大,舌吻卖力,服务态度非常好。大骨架bbw御姐,身材火辣,但是有点傲娇略显可爱。 https://t.me/cdlfls
@nengmengz
#小艺 #高新区#嫩妹 ✨330 车牌: @X0917 👑课时费:7p(50min)11pp(80min)👑 👑#大只嫩妹车 #态度车 #大蟒蛇 👑年龄:20身高:175 体重:115🐻b👑 👑特色:高个大只嫩妹,态度好,反差,骚👑 👑服务:三件套,大蟒蛇👑 👑点评: https://t.me/cdlfls
#喷潮天后 #武侯区 #御姐 ✨329 车牌: @cpth5 👑课时费:7p(50min)13pp(90min)👑 👑#御姐车 #服务车 #sm 👑年龄:29身高:168体重:55kg🐻D👑 👑特色:潮喷 莞式天花板 SM 角色扮演 👑 👑服务: 六九 舌吻💋 无套口 前列腺高潮 抓龙筋 精油SPA 胸推 臀推 男奴 女奴 👑 👑点评:
🐉泰式(治疗级)抓龙筋,正宗皇室手法,有效提高男人(战斗力)! #颜值与技术双天花板 ✅男人必须要体验一次的抓龙筋,提升性能力、延长时间 、更“有活力” 改善生殖健康,改善调理阳痿、早泄,提升硬度与持久度。 ✅独家抓龙筋手法,老师经过专业的培训,考核后上岗,手法达到最高级别治疗级手法 ✅特色前高:刺激G点与龟头,达到双重刺激,可长达半分钟甚至一分钟的极限高潮,一次榨干,排除钙化物,可爽可保养。 ✅极限潮喷:男性二次高潮也能女性一样喷水,甚至爽到叫床。跟平时不一样的高潮爽过做爱。 #成都抓龙筋 #按摩 #男士调理 #SPA #泰国抓龙筋 服务项目:泰国皇室抓龙筋、前列腺按摩、宗筋护理、腰背臀SPA、龟责前高、丝足等... 👠柔式丝足(赠送原味丝袜+丝袜可撕) 联系方式⤵️ 预约联系: @nxgzl001 双向联系: @zlj04_bot 频道资料: https://t.me/chegndutianyuege 地…
#艺涵 #成华区 #御姐车 ✨345 车牌: @sylail 👑课时费:6p(50min)9pp(90min)👑 👑#御姐车 👑年龄:22身高:165体重:60kg🐻D 👑特色:态度好、BBW、 👑服务:帮洗、舌吻、舔咪咪、口、69、爱爱, 👑点评: https://t.me/cdlfls
🐉泰式(治疗级)抓龙筋,正宗皇室手法,有效提高男人(战斗力)! #颜值与技术双天花板 ✅男人必须要体验一次的抓龙筋,提升性能力、延长时间 、更“有活力” 改善生殖健康,改善调理阳痿、早泄,提升硬度与持久度。 ✅独家抓龙筋手法,老师经过专业的培训,考核后上岗,手法达到最高级别治疗级手法 ✅特色前高:刺激G点与龟头,达到双重刺激,可长达半分钟甚至一分钟的极限高潮,一次榨干,排除钙化物,可爽可保养。 ✅极限潮喷:男性二次高潮也能女性一样喷水,甚至爽到叫床。跟平时不一样的高潮爽过做爱。 #成都抓龙筋 #按摩 #男士调理 #SPA #泰国抓龙筋 服务项目:泰国皇室抓龙筋、前列腺按摩、宗筋护理、腰背臀SPA、龟责前高、丝足等... 👠柔式丝足(赠送原味丝袜+丝袜可撕) 联系方式⤵️ 预约联系: @nxgzl001 双向联系: @zlj04_bot 频道资料: https://t.me/chegndutianyuege 地…
#结衣 #成华区 #服务车 #少妇车#大奶 ✨344 车牌: @HHA686800 👑课时费:4p(50min)7pp(90min)👑 👑#服务车 #少妇车 #良家少妇 #性价比 👑年龄:26身高163 体重47kg 🐻D 👑特色:天然大D,肤色白,良家感,服务好, 👑服务: 鸳鸯浴、无套口,深喉,胸漫,舔咪咪,亲吻,指滑,挑逗,爱爱 👑点评:
Showing the 12 most recent of 19 posts we hold for @cdrbl. 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.
Mentions
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@cdrbl 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 3 posts, 16 August 2026 – 20 August 2026
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“成都楼凤阁丨车库” (@cdrbl), 26,192 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/cdrbl.
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.