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Channel

重庆茶百道楼凤总榜

@CQCBDRZ

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

68,913subscribers

-4,202 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003717604742
TypeChannel
Username@CQCBDRZ
Description上榜联系: @CQCBDXZL @CQCBDDZ 重庆茶百道楼凤总群:@CQCBD 重庆茶百道楼凤①群:@CQCBD1 重庆茶百道楼凤②群:@CQCBD2 重庆茶百道楼凤③群:@CQCBD3 重庆茶百道楼凤总榜:@CQCBDRZ 重庆茶百道双向机器人:@CQCBDXZL_bot
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live13 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/CQCBDRZ

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 62% 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.

Growth

52,18379,03465,608.568,9139 August 202613 November 2026
61 measurements spanning 96 days, net -4,202. 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 48,155–83,062 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
13 Nov 2026, 02:0168,913-1,310
10 Nov 2026, 16:5870,223-157
9 Nov 2026, 00:3870,380-310
7 Nov 2026, 15:1970,690-949
6 Nov 2026, 14:3571,639-229
5 Nov 2026, 16:0671,868+7,720
4 Nov 2026, 15:5964,148+11,965
2 Nov 2026, 17:1552,183-57
1 Nov 2026, 17:4052,240-640
31 Oct 2026, 19:2052,880-887
30 Oct 2026, 21:3053,767-1,308
29 Oct 2026, 17:5655,075-797
28 Oct 2026, 17:0655,872-874
27 Oct 2026, 13:5156,746-611
26 Oct 2026, 13:0557,357-948
25 Oct 2026, 14:5758,305-456
24 Oct 2026, 14:3058,761-932
23 Oct 2026, 14:2759,693-567
22 Oct 2026, 16:5660,260-1,210
21 Oct 2026, 12:4761,470first reading

Engagement

129 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 204 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.00%
avg views ÷ 68,913 subscribers
Avg views / post
1,380
40 posts measured
Reaction rate
0.124%
reactions ÷ views · ER floor
Posts in window
40
of 129 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 31 of 40 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 13 November 2026
Posts held129 (6 August 2026 – 13 November 2026)
Views total55,226
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 00:58 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
462
Videos
70
Links
104

Lifetime counters from Telegram’s own channel header, read 14 November 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
12m 25s
Average length
10s

Measured directly from 72 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

139 reactions across 72 posts, in 4 distinct kinds. The most used accounts for 92.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12992.8%
💩75.04%
🤔21.44%
👏10.719%

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 96 of the 129 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 129 most recent posts we hold, published 6 August 2026 to 13 November 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.

Telegram Stars

Stars received
16
across the posts below
Posts paid on
15
of 129 we hold a reading for · 12%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CQCBDRZ. 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 129 most recent posts we hold for this entry, published 6 August 2026 to 13 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 40 posts held from the last 30 days (2.50%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 16:19 UTC448 views2 reactionsread 14 November 2026
Photo

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#小慕 ⭐️【联系】 @aixiaomu ⭐️【频道】 https://t.me/+YFArbd5RG4IzNjY1 ⭐️【位置】江北 ⭐️【标签】 #嫩妹 #白幼瘦 #蛇吻 #六九 #口爆 #女友感 ⭐️【价格】7p13pp ⭐️【补充】刚下海少御小慕,标准白幼瘦,颜值可爱,无纹身皮肤白嫩滑,有着和鼠鼠一样古灵精怪的性格,与她相伴的时光舒心快乐又温暖。服务多多,清纯可爱的同时又性感诱人,反差感十足,喜欢清纯的她还是榨汁姬的她呢? 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤2

12 Nov 2026, 19:05 UTC821 views0 reactionsread 14 November 2026
Photo

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#哆哆 ⭐️【联系】 @dd31253 ⭐️【频道】 @dd13251 ⭐️【位置】南坪 ⭐️【标签】 #嫩妹 #大胸 #水中箫 #鸳鸯浴 #舌吻 #六九 ⭐️【价格】7p13pp ⭐️【补充】刚下海嫩妹哆哆,长相清美带着御感,苗条的身材难掩胸部的丰满,性情温柔体贴,待人柔情似水,aiai配合,可塑性强,相处起来满是安心,女友感十足。这样的哆哆能否击中你的心呢? 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

12 Nov 2026, 05:38 UTC917 views2 reactionsread 14 November 2026
Photo

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#巧儿 ⭐️【联系】 @muanmuan1 ⭐️【频道】 @muanmuan2 ⭐️【位置】渝北新牌坊 ⭐️【标签】 #嫩妹 #高颜值 #舌吻 #鸳鸯浴 #制服 #六九 ⭐️【价格】6p12pp ⭐️【补充】新人嫩妹巧儿,身形玲珑小巧,有着一张清纯可爱的脸庞,搭配着白净的肌肤,一见便浮想联翩。可御可甜的风格,活泼可爱的性格,还有服务时极强的配合感和沉浸感,不喜欢这样的巧儿吗? 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤2

11 Nov 2026, 02:15 UTC≈1,120 views1 reactionsread 14 November 2026
Photo

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#锦瑶 ⭐️【联系】 @jinyao778 ⭐️【频道】 @jinyao8866 ⭐️【位置】红旗河沟 ⭐️【标签】 #御姐 #水中箫 #舌吻 #胸推 #毒龙 #深喉 ⭐️【价格】5p10pp ⭐️【补充】新到御姐锦瑶,她有着高挑的身段,前凸后翘的身材,还有着亲切舒服的邻家大姐姐长相,眼底藏着一抹柔媚,性情热情活泼,待人柔情似水。身怀绝技,服务颇多,让人不知不觉沉浸在她的温柔乡里。 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤1

10 Nov 2026, 11:50 UTC≈1,160 views1 reactionsread 13 November 2026
Photo

✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#媚媚 ⭐️【联系】 @meimei200301 ⭐️【频道】 @meimei200012 ⭐️【位置】江北 ⭐️【标签】 #少御 #六九 #深喉 #胸推 #制服 #剧情 ⭐️【价格】6p12pp ⭐️【补充】新人少御媚媚,她有着一张清秀清纯的面容,眼神不仅带媚,更有灵动之气。肤白莹润,身姿窈窕,性格外向开朗,待人似男友。多种制服配合剧情任你挑选,高跟鞋噔噔噔,噔进你的心里。 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤1

9 Nov 2026, 16:30 UTC≈1,100 views1 reactionsread 12 November 2026
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✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#海豚 ⭐️【联系】 @haitun147369 ⭐️【频道】 @Haitunhuayuan ⭐️【位置】江北 ⭐️【标签】 #高颜御姐 #臀推 #舌吻 #胸推 #水中箫 #深喉 ⭐️【价格】7p14pp ⭐️【补充】名师海豚,她有着动人的容颜,模特般纤细舒展的身段,气质可纯可欲,性格热忱开朗,温柔体贴,与她相处之时总是舒心治愈,满满的女友感!多才多艺的她用诱人服务,让你沉浸其中。跟海豚共度良宵,多是一件美事。 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤1

9 Nov 2026, 02:21 UTC≈1,130 viewsread 12 November 2026
Photo

✡️重庆茶百道楼凤总榜认证商家 🩵商家:古法抓龙筋优优 🩵位置:花卉园 🩵认证:店长认证商家🔥 🩵特色:抓龙筋 延时 保养 🩵价格:498 🩵联系:@you031411 💟重庆茶百道楼凤总群: https://t.me/CQCBD

8 Nov 2026, 08:30 UTC≈1,060 views2 reactionsread 11 November 2026
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✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#小柔 ⭐️【联系】 @xiaorou1314 ⭐️【频道】 @xx66575 ⭐️【位置】大坪 ⭐️【标签】 #少御 #鸳鸯浴 #水中箫 #胸推 #制服 #双飞 ⭐️【价格】6p12pp ⭐️【补充】新人少御小柔,有着清甜的面容,还有着少女般的青涩感,黄金比例的身材让她看着格外诱人。性格温柔体贴,善解人意,予你以最舒心的陪伴。另有特色双飞服务等你来体验,不想来试试吗? 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤2

8 Nov 2026, 07:50 UTC809 viewsread 10 November 2026
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8 Nov 2026, 05:18 UTC822 views2 reactionsread 10 November 2026
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❤2

8 Nov 2026, 05:17 UTC753 views1 reactionsread 9 November 2026
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✡️重庆茶百道楼凤总榜认证商家 😆至尊莞式服务😀 📹情人体验 鸳鸯戏水 水磨推拿🥰 📹口舌调情 水多紧致 胯下吞龙🥰 📹手推胸推 足推臀推 激情爱爱🥰 📹气质初恋 制服情趣 听话懂事🥰 🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣 一直传承老莞式全方位整套会所服务 为男人打造尊享一条龙服务! 🥸🥸🥸🙁🤯😖😏🤬😳😳😳 🤬 一对一服务 🤗 😄😘😗😃😙😃😃😙 🥰 全天妹妹在线🔞 学生🤗萝莉🤗少妇🤗嫩模 停车方便 明码标价 安全靠谱 😲 至尊体验 😲 🥲😙😣😣😂😀😏😓 ✨ 无需定金 零门槛(到店消费安全放心)✨ 😀会所入口 | https://t.me/d…

❤1

5 Nov 2026, 14:48 UTC≈1,910 views1 reactionsread 9 November 2026
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✡️重庆茶百道楼凤总榜推荐 ⭐️【花名】#林汐 ⭐️【联系】 @linlinxi666 ⭐️【频道】 @linxi_528 ⭐️【位置】两江新区 ⭐️【标签】 #少御 #鸳鸯浴 #舌吻 #SM轻微 #女友感 ⭐️【价格】8p15pp ⭐️【补充】广州名师林汐重庆暂开,兼具少女灵气与轻熟韵味的少御,一身天然冷白皮衬得面容清隽动人。模样甜美讨喜,性子古灵精怪,女友感十足。更有姐妹双飞体验,还可轻微sm,不想来一睹芳容吗? 🐴重庆茶百道楼凤总群: https://t.me/CQCBD

❤1

Showing the 12 most recent of 129 posts we hold for @CQCBDRZ. 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

@CQCBDRZ edited 6 posts 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
19 August 2026
Most recent edit
20 October 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @CQCBDRZ as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
9 August 2026
Most recent seen missing
22 October 2026
Median time before seen missing
33 hours
Seen missing in the last 30 days
2

Forward network

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“重庆茶百道楼凤总榜” (@CQCBDRZ), 68,913 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/CQCBDRZ.

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.