Telegram RegisterThe public register of Telegram

Channel

成都女团已验证成员

@CDnvtuancy

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

50,316subscribers

+447 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002094530826
TypeChannel
Username@CDnvtuancy
Description本频道车牌均为已验证车牌,请广大狼友放心cj 。 希望你的每一次出击都是因为喜欢! 聊天群 : https://t.me/CDCnantuannvtuan
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/CDnvtuancy

Growth

49,86950,31650,092.56 August 2026 — 49,869 subscribers6 August 2026 — 49,869 subscribers8 August 2026 — 49,967 subscribers8 August 2026 — 49,978 subscribers10 August 2026 — 49,945 subscribers10 August 2026 — 50,061 subscribers11 August 2026 — 50,099 subscribers12 August 2026 — 50,203 subscribers14 August 2026 — 50,316 subscribers6 August 202614 August 2026
9 measurements spanning 7 days, net +447. 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 49,802–50,383 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 03:0550,316+113
12 Aug 2026, 23:1450,203+104
11 Aug 2026, 21:5250,099+38
10 Aug 2026, 23:0250,061+116
10 Aug 2026, 00:4149,945-33
8 Aug 2026, 21:5649,978+11
8 Aug 2026, 00:5749,967+98
6 Aug 2026, 21:2249,869no change
6 Aug 2026, 20:1649,869first reading

Engagement

38 posts held, back to 5 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.48%
avg views ÷ 50,316 subscribers
Avg views / post
746
37 posts measured
Reaction rate
0.335%
reactions ÷ views · ER floor
Posts in window
38
of 38 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 26 of 37 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 14 August 2026
Posts held38 (5 August 202614 August 2026)
Views total27,589
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 11:49 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
8,020
Videos
810
Links
1,710

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 50s
Average length
11s

Measured directly from 10 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

75 reactions across 26 posts, in 3 distinct kinds. The most used accounts for 73.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5573.3%
👍1925.3%
🌚11.33%

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 26 of the 38 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 75reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 5 August 2026 to 14 August 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

14 Aug 2026, 11:40 UTC47 viewsread 14 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#棠棠 编号: 2370 车牌: @tang697 课时费: #8/14 标签:#御姐车 #大蟒蛇 #颜值车 #大奶 #身材车 #自聊 #8P #女友感 #态度车 #武侯区 地址:#石羊 优惠:无/报告减一 锐评:人照8.5,年龄24,身高165体重98,虽然露脸照不多但是本人网红脸颜值极高,态度好很健谈不冷场,身材苗条前凸后翘属于细枝硕果,正常肤色手感紧致光滑有几处小纹身,天然大D挺拔乳头小乳晕稍大,粉褐色手感软弹,蝴蝶浅褐色毛量正常,水多较紧爱爱反馈好主动大蟒蛇 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

Signed 天涯海角

14 Aug 2026, 08:27 UTC384 views2 reactionsread 14 August 2026
Photo

📊 3条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#沈清梨 编号: 1493 车牌: @qingli520520 课时费: #6/10 标签:#御姐车 #感觉车 #态度车 #颜值车 #自聊 #武侯区 #6P 地址:#天府二街 优惠:无 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

👍2

Signed 芹泽多么伟

14 Aug 2026, 04:14 UTC651 views7 reactionsread 14 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#阿娇 编号: 2369 车牌: @Nxa520 课时费: #7/11 标签:#御姐车 #武侯区 #态度车 #7p #代聊 地址:#锦城湖 优惠:无 锐评:人照差不多8分,但是看起来还是有点差距,颜值还行御姐老师,进门态度还挺好的,挺热情,皮肤很滑也很白,胸也很大,但是带科技。口活还可以,可能我没怎么看课表,就只有洗吹做加指滑,感觉开7服务太少需要提升。 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

7

Signed 天涯海角

14 Aug 2026, 03:49 UTC650 views3 reactionsread 14 August 2026
Photo

📊 1条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#思琪 编号: 2368 车牌: @siqi299 课时费: #5/9 标签:#服务车 #大奶 #武侯区 #5P #自聊 #少妇车 地址:#大源 优惠:无 锐评:人照8,年龄27,身高165 体重110。皮肤状态:挺润。胸大E略下垂。小穴略紧会夹。鸳鸯浴,裸口吹,深喉,胸推,过水,毒🐉,舔咪咪,乳交,阴推,69,大蟒蛇,多种姿势自由切换,回马枪,老师很会聊天,诱惑不断,情绪价值给的挺多的,是个服务很顶的大奶车 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

2👍1

Signed 天涯海角

13 Aug 2026, 16:42 UTC327 views4 reactionsread 13 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#小艺 编号: 2366 车牌: @bolihaitai1 课时费: #8/14 活动减1 标签:#嫩妹车 #武侯区 #8P#自聊#大蟒蛇#敏感车 地址:#衣冠庙 优惠:报告减一 锐评:广西甜妹,身高163,90斤,喜欢笑漏出虎牙很可爱,身材娇小偏排骨,性格好比较能聊,有良家女友感,皮肤较白,大蟒蛇主动会主动索吻,下面比较紧,姿势配合爱爱反馈自然,娇小女友感嫩妹 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

4

Signed 一觉(三代目)

13 Aug 2026, 16:41 UTC294 viewsread 13 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#小宝 编号:2365 车牌: @XB11667 课时费: #5/8 原价 标签:#嫩妹 #武侯区 #5P(价格)#自聊 地址:#天府二街 优惠:无 锐评:人照8.5分,年龄20,身高163cm体重100斤,皮肤状态白嫩,胸型大小D+,户型小蝴蝶、湿、紧,服务有蛇、AA、调情、爱爱反馈很好,各种姿势也非常配合。 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

Signed 一觉(三代目)

13 Aug 2026, 13:35 UTCviews —

成都女团已验证成员 pinned «收拾好了心情,准备重新出发了。谢谢老频道各位看官的支持和喜欢,后续内容会搬运老频道现在还在开的老师和阿伟近期去的还不错的老师。以及一些电报往事个最新吃瓜。 伟大的事再次起航! 伟大的事 : https://t.me/CDCweida»

13 Aug 2026, 13:35 UTC553 views2 reactionsread 13 August 2026

收拾好了心情,准备重新出发了。谢谢老频道各位看官的支持和喜欢,后续内容会搬运老频道现在还在开的老师和阿伟近期去的还不错的老师。以及一些电报往事个最新吃瓜。 伟大的事再次起航! 伟大的事 : https://t.me/CDCweida

2

Signed 芹泽多么雄

13 Aug 2026, 12:08 UTC648 viewsread 13 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#叶汐 编号: 2364 车牌: @yexi188 课时费: #7/12 标签:#御姐车 #武侯区 #天府二街 #7P #自聊 #大长腿 #女友感 #态度车 地址:#天府二街 优惠:无 锐评:人照9分,人照基本一致。年龄22,165,95斤左右,皮肤滑嫩,🐻c手感很好,下面比较湿紧,口,蛇,颜值在线,身材绝佳,性格温柔,情绪价值足,态度很好,硬件软件各方面很不错 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

Signed 天涯海角

13 Aug 2026, 08:00 UTC73 viewsread 13 August 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 成都修车 男团与 文东工作室送来的8月初份福利,请领取! ⚠️ 抽奖说明: 本次抽奖 现金中奖者需有用户名。炸号无效!优惠卷不可转让 🎅 联系领奖:@NM98998 🙋 参与人数:898 中奖名单如下: 1. 木又 奖品:文东工作室半价卷 2. gongyong 奖品:文东工作室100优惠卷 3. 匿名 奖品:文东工作室100优惠卷 4. 玄鹤 奖品:文东工作室100优惠卷 5. 卢本伟 奖品:文东工作室100优惠卷 6. 惊鸿客 奖品:文东工作室100优惠卷 7. 派大星呀 奖品:188口令红包🧧 8. 专打外星人 奖品:88口令红包🧧 这次没中,下次一定! 🎁 点击查看更多抽奖

Signed 新幸运抽奖Bot

13 Aug 2026, 07:50 UTC97 views2 reactionsread 13 August 2026
Photo

📊 2条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#柠檬 编号: 1611 车牌: @ningmeng3a 课时费: #5/9 标签:#御姐车 #态度车 #良家感 #自聊 #龙泉 #5p #人工白虎 地址:#龙泉驿区 优惠:#无 其他:户型不错,人工白虎,人照7.5,态度端正,价格合理,服务看菜单。现在在龙泉区了。 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

2

Signed 芹泽多么雄

13 Aug 2026, 07:27 UTC175 viewsread 13 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#小丸子 编号: 2363 车牌: @cdxwz6 课时费: #9/14 原价 标签:#御姐车 #成华区 #感觉车 地址:#昭觉寺 优惠: 锐评:人照9,172身高,无纹身,态度好,白皮大学妹既视感 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan

Signed 妳的十五

Showing the 12 most recent of 38 posts we hold for @CDnvtuancy. 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.

Citation-graph rank

Citation-graph rank — 299,828 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“成都女团已验证成员” (@CDnvtuancy), 50,316 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/CDnvtuancy.

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.