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Channel

重庆茶百道报告区

@CQCBDBG

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

14,881subscribers

+5,877 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003881638983
TypeChannel
Username@CQCBDBG
CreatedBetween 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live3 September 2026
Measurements held24
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/CQCBDBG

Growth

9,00418,62113,812.59 August 2026 — 9,004 subscribers9 August 2026 — 17,144 subscribers10 August 2026 — 18,621 subscribers12 August 2026 — 18,340 subscribers13 August 2026 — 18,255 subscribers14 August 2026 — 18,003 subscribers16 August 2026 — 17,632 subscribers17 August 2026 — 17,427 subscribers18 August 2026 — 17,335 subscribers19 August 2026 — 17,155 subscribers20 August 2026 — 17,012 subscribers21 August 2026 — 16,935 subscribers22 August 2026 — 16,751 subscribers24 August 2026 — 16,535 subscribers25 August 2026 — 16,378 subscribers26 August 2026 — 16,099 subscribers27 August 2026 — 15,985 subscribers28 August 2026 — 15,869 subscribers29 August 2026 — 15,645 subscribers30 August 2026 — 15,343 subscribers31 August 2026 — 15,277 subscribers1 September 2026 — 15,195 subscribers2 September 2026 — 15,075 subscribers3 September 2026 — 14,881 subscribers14,8819 August 20263 September 2026
24 measurements spanning 25 days, net +5,877. 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 7,561–20,064 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
3 Sept 2026, 14:0014,881-194
2 Sept 2026, 08:1615,075-120
1 Sept 2026, 08:4415,195-82
31 Aug 2026, 09:5215,277-66
30 Aug 2026, 07:5215,343-302
29 Aug 2026, 05:5615,645-224
28 Aug 2026, 08:1115,869-116
27 Aug 2026, 07:0515,985-114
26 Aug 2026, 04:0716,099-279
25 Aug 2026, 06:0316,378-157
24 Aug 2026, 09:0616,535-216
22 Aug 2026, 15:1616,751-184
21 Aug 2026, 08:2616,935-77
20 Aug 2026, 10:3317,012-143
19 Aug 2026, 13:1917,155-180
18 Aug 2026, 11:5417,335-92
17 Aug 2026, 15:0417,427-205
16 Aug 2026, 05:5317,632-371
14 Aug 2026, 13:1518,003-252
13 Aug 2026, 03:2518,255first reading

Engagement

183 posts held, back to 4 August 2026the 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
11.3%
avg views ÷ 14,881 subscribers
Avg views / post
1,670
180 posts measured
Reaction rate
0.021%
reactions ÷ views · ER floor
Posts in window
180
of 183 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 13 of 180 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 3 September 2026
Posts held183 (4 August 20263 September 2026)
Views total301,387
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:58 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.

Reaction mix

5 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5100.0%

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 13 of the 183 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 183 most recent posts we hold, published 4 August 2026 to 3 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

3 Sept 2026, 08:42 UTC≈1,620 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:可乐 【联系方式】:@maomaossd 【验证留名】:胃炎 【大概位置】:黄泥磅 【修车水费】:6p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:8分 【硬件身材】:8分 【软件态度】:9分 【服务点评】:8分 【推荐程度】:9分 【细节描述】:第一次中工兵出击出击!!!因为临时中的出发的有点赶 刚好约上妹子尾课就出发!到了地方就看见路上和妹妹说我想看的白丝嘿嘿嘿! 进门看见一个很漂亮的妹妹 很热情 到沙发上聊聊天 简单冲一下就开始了! 服务依旧嫩妹三件套 然后接着凑过来大蟒蛇 口了几下我就戴套出击 不得不说老师真的很润啊 女上起手 嘿嘿看着老师的脸就忍不住想凑上去 然后厚乳还有各种姿势换了个遍 看到有个镜子嘿嘿必须镜子前面来一次! 总而言之非常好啊!!!!!

3 Sept 2026, 08:34 UTC≈1,890 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#甜甜圈 【联系方式】:@tiantianquan1111 【验证留名】:一天小蓝喵 【大概位置】:渝北 【修车水费】:6p 【高端服务】:有的打✅ ① 舌吻 我没要 ② 69舔逼 我没要 ③ 情绪价值 10 ④ 毒龙 我没要 【人照相似】:7 【硬件身材】:7 【软件态度】:10 【服务点评】:10 【推荐程度】:7 【细节描述】:当天问的时候还有头课,妹子说等我,他也休息下,位置还算安全,不是炮楼地方。 进门一看,是去掉美颜的本人,皮肤正常黄皮胸有c,挺粉的,有几处小纹身,服务和态度都非常好,我不太喜欢服务,就赶紧洗完开始口。妹子口挺好的,而且时间很长,我本身喜欢口,确实给我口舒服了,然后带套开始,来的目的主打的就是紧,初入确实蛮紧的,我小鸭儿都挺紧的,包裹感很强。以为就这样了,没想到后入才是真神!妹子有点儿

3 Sept 2026, 08:31 UTC≈1,730 viewsread 3 September 2026
Photo

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#沫沫 【联系方式】:@mm15672 【验证留名】:别搞(红休) 【大概位置】:南坪 【修车水费】:600p(白嫖) 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 没做 【人照相似】:8 【硬件身材】:9 【软件态度】:9 【服务点评】:9 【推荐程度】:9 【细节描述】:在群里看见兄弟们都说沫沫老师不错是个大桩机,一屁股能给你坐没,尝试一下,过去二十分钟 遥控上楼,沫沫说我这么早啊,我说先去先坐会(从不迟到)然后在旁边看沫沫吹头发弄发型边唠嗑,坐下打卡完了以后开始洗澡 贴心洗澡上床躺下 开始🐍 沉浸式口交 口了一会突然想起忘了让她穿上战袍了 两个人去柜子里找了一套穿上增加buff,继续温柔口交 换着姿势来,接着就是69 无异味无润滑液非常真实(头课)口得沫沫连连娇喘最后受

3 Sept 2026, 08:30 UTC≈1,820 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#沫沫 【联系方式】:@mm15672 【验证留名】:别搞(红休) 【大概位置】:南坪 【修车水费】:600p(白嫖) 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 没做 【人照相似】:8 【硬件身材】:9 【软件态度】:9 【服务点评】:9 【推荐程度】:9 【细节描述】:在群里看见兄弟们都说沫沫老师不错是个大桩机,一屁股能给你坐没,尝试一下,过去二十分钟 遥控上楼,沫沫说我这么早啊,我说先去先坐会(从不迟到)然后在旁边看沫沫吹头发弄发型边唠嗑,坐下打卡完了以后开始洗澡 贴心洗澡上床躺下 开始🐍 沉浸式口交 口了一会突然想起忘了让她穿上战袍了 两个人去柜子里找了一套穿上增加buff,继续温柔口交 换着姿势来,接着就是69 无异味无润滑液非常真实(头课)口得沫沫连连娇喘最后受

3 Sept 2026, 07:11 UTC≈1,580 viewsread 3 September 2026

重庆茶百道楼凤总群工兵:https://t.me/CQCBD 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:9月3日 【出击老师】:#可乐 @maomaossd 【出击留名】: 【开课位置】:黄泥磅 【修车水费】:300p(工) 【人照评分】:9分 【综合评分】:9分 【过程描述】: #老师软件 基础服务:舌吻六九(妹妹都有,但是我没选择做),情绪价值不错:做爱反馈真实,排课合理,准点到了之后就可上门,无催客赶客行为 加分项目:没闻到什么烟味,有制服 #老师硬件 人照9分,颜值身材好,黄皮,手感不错,🐻掌中宝,紧度湿度不错 #流程细节 中了奖就约好第二天出击,指挥下上楼,电梯要刷卡,但是给保安说一句就行了,不会多问问题,挺不错的,进门看到妹妹小小一只,穿着白色斑点裙,人照比较一致,9分左右,黄皮肤,人比较热情,主动问到要冰水不。闲聊几句后一起去洗澡,全程帮洗,温温柔柔的,洗净后擦干上床

3 Sept 2026, 04:11 UTC≈1,900 viewsread 3 September 2026

【妹子花名】:#阮阮 【联系方式】:晴天家@QQL68888 【验证留名】:58分钟桩机小阿喵 @Kwlskj 【大概位置】:大石坝 【修车水费】:388(一等奖198去的) 【高端服务】:有的打✅ ① 舌吻 ✓ ② 69舔逼✓ ③ 情绪价值✓ ④ 毒龙 ✓ 【人照相似】:0 不知道在哪里找的网图 【硬件身材】:7微胖 【软件态度】:10 【服务点评】:10 【推荐程度】:10 【细节描述】:去过五六次了,作为小言喵在小飞机上去过的第一个老师,也是唯一一个回锅多次的95老师这里除了身材都给到夯(阮阮要是不胖的话还是很瘦的),遥控上楼,还是那张熟悉的脸,依旧是辣么热情的把我搂到沙发上,简单闲聊抽烟后,熟悉的陪洗服务和水中萧,洗干净就被推倒在床上体验了一波正面嘟窿和她的口活,宛若人间仙境般的体验,紧接着小言喵也是摊在床上静静的享受ab面服务(小言喵不用动,阮阮全自动),到最后kb环节,小言喵

3 Sept 2026, 02:30 UTC≈2,160 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#沫沫 【联系方式】:@mm15672 【验证留名】: 【大概位置】:南坪 【修车水费】:600p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 我没打算做,就没问 ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:8 【硬件身材】:9 【软件态度】:9 【服务点评】:9 【推荐程度】:9 【细节描述】:在群里看见兄弟们都说沫沫老师不错,可惜一直在红休,这次看到回来了就马上去约好了,第二天准点到达,稍微找了下几栋,浪费了几分钟,指挥下进门,看着沫沫穿着性感,身材很好。非常的热情,转个身的功夫就递上了冰水。简单的聊聊后就脱衣服洗澡,老师主动帮洗,擦净后上床,沫沫会主动询问想要什么QQ战衣,衣柜里面选择很多,一下子都有点选择困难了嘿嘿,最后选了身粉色小裙裙,沫沫还主动配了双白丝,非常漂亮诱人,一切准备好后躺在床上看

2 Sept 2026, 16:18 UTC≈1,910 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#土拨鼠 【联系方式】:@TBS5200 【验证留名】:小姨子跑了 【大概位置】:商社又壹城 【修车水费】:300p(工兵) 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:7 【硬件身材】:8 【软件态度】:8 【服务点评】:9 【推荐程度】:8 【细节描述】:见面是个小萝莉,并且很热情,简单清洗了一下之后就去床上了。妹妹很主动,上来就给我舌吻然后口交,口的很卖力并且口到一半还主动把屁股转过来玩69,妹妹下面很嫩,吃起来很爽。由于我的尺寸原因,妹妹尝试了好几次还是受不了,于是最后手打出货的。体验感很不错,妹妹情绪价值很高,做的时候叫爸爸叫的心里痒痒的,妹妹做的时候也很用心,就是尺寸大的不建议去,妹妹是真受不了尺寸大的,很容易给人家身体弄伤。喜欢萝莉并且尺寸适当的可

2 Sept 2026, 16:10 UTC≈2,010 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#笑笑 【联系方式】:@ZHL11223388 【验证留名】:小姨子跑了 【大概位置】:新牌坊碧桂园 【修车水费】:500p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:7 【硬件身材】:8 【软件态度】:9 【服务点评】:9 【推荐程度】:8 【细节描述】:今天要路过重庆,寻思就顺便出击一下,之前本来就想去笑笑老师这里,正好老师还在水群,就想着来上一课。进门之后就给了我一个拥抱,然后拉着我进去给我洗了个澡,洗完就开始正事了。具体过程我就不说了,反正笑笑老师还是很值得去的,情绪价值高,服务也很好,下面还很会夹,期待下次见面

2 Sept 2026, 15:02 UTC≈1,700 viewsread 3 September 2026

重庆茶百道楼凤总群: https://t.me/CQCBD 【妹子花名】:#可乐 【联系方式】:@maomaossd 【验证留名】:匿名 【大概位置】:黄泥磅 【修车水费】:600p 【高端服务】:有的打✅ ① 舌吻 ✓ ② 69舔逼 ③ 情绪价值 ✓ ④ 毒龙 【人照相似】:9 【硬件身材】:9 【软件态度】:10 【服务点评】:10 【推荐程度】:9 【细节描述】: 可乐人照9分像,照片略有美白,本人颜值可以,身材很有料的那种。一进门非常热情,拉到沙发休息。哈拉了几句,就拉去洗澡,有洗关键部位,奶子有B+,乳晕小乳头像葡萄一样,手感不错。下面毛量多,有点小森林的感觉。腰细无赘肉,皮肤光滑细柔。 服务方面,三件套,然后开始大蟒蛇,握住口的时候有几下深喉。口的确实很不错,很深,一点齿感都没有,把我口的邦邦硬。口了很久,确实受不了了,带套,传教士起手,日感很好,夹的很紧,日的时候有阻尼感,

2 Sept 2026, 14:48 UTC≈1,870 viewsread 3 September 2026

重庆茶百道楼凤总群工兵:https://t.me/CQCBD 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:9月2日 【出击老师】:#悠然 @youran200 【出击留名】:foxizhongjiang 【开课位置】:观音桥 【修车水费】:工兵300p 【人照评分】:9分 【综合评分】:9分 【过程描述】: #老师软件 基础服务:舌吻 情绪价值:老师健谈,排课合理,无催客赶客行为 加分项目:抽烟,有纹身,制服 #老师硬件 人照9分,颜值身材9,穿搭气质10,纹身小,皮肤手感9 罩杯胸型a,乳头颜色有点黑,腿和腰都很细身上除了胸没有一点肉,很紧有湿度 #流程细节 教室安全性不错,进电梯需要刷卡,上楼后看到老师很小一只,很瘦很瘦150几只有70多斤,人照一致,基本上没有差别,老师很健谈,从我进门开始一直在找话题,老师帮洗过后躺在床上抱着聊了一会儿天,开始的时候让老师穿着JK,只能说视角效

2 Sept 2026, 12:56 UTC≈1,890 viewsread 3 September 2026

【妹子花名】:#杨家坪薇薇 【联系方式】:@wei101111 【验证留名】:大头 【大概位置】:杨家坪 【修车水费】:500P 【高端服务】:有的打✅ ① 舌吻√ ② 69舔逼 ③ 情绪价值 √ ④ 毒龙 【人照相似】:7-(头像拉低了印象分)本人好看很多 【硬件身材】:9 【软件态度】:10 【服务点评】:10 【推荐程度】:8 【细节描述】: 脸是冷艳型御姐,身材很小巧,但🐻很争气,皮肤和胸都很软。触感很舒适。 名声在外,随约随到。 进门是蕾丝连衣裙,真人印象分很高,我归结为冷艳型,但是态度很好,坐下聊了一会,老师细心引导。 洗澡的都有水中潇,陪洗。 出来之后,有衣服可选,款式很多,小舌好比蜻蜓点水,q弹,口活很好,有基础的ab面,两眼全是妩媚,做的过程态度很好,有反馈,非常配合。 老师偏敏感性,水较多很滑,细节不描述,换多个姿势,薇薇给的感觉就很软,姿势很全面,做了一会也没有催,

Showing the 12 most recent of 183 posts we hold for @CQCBDBG. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“重庆茶百道报告区” (@CQCBDBG), 14,881 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/CQCBDBG.

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.