📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#雨朵 编号: 2730 车牌: @yuduo3 课时费: #5/9 标签:#嫩妹车 #成华区 #5P #代聊 地址:#市二医院 优惠:无 锐评:人照7.5成,年龄19,身高168体重100,皮肤状态一般,胸型大小C,户型馒头B湿紧度适中,服务有陪洗、🐍、口、69。情绪价值一般 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
❤7
Signed 天涯海角

Channel
@CDnvtuancy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
56,751subscribers
+6,882 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002094530826 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/CDnvtuancy |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 16:06 | 56,751 | +165 |
| 10 Nov 2026, 13:16 | 56,586 | +158 |
| 8 Nov 2026, 21:57 | 56,428 | +173 |
| 7 Nov 2026, 11:20 | 56,255 | +37 |
| 6 Nov 2026, 13:17 | 56,218 | +46 |
| 5 Nov 2026, 14:59 | 56,172 | +123 |
| 4 Nov 2026, 12:35 | 56,049 | +157 |
| 3 Nov 2026, 10:54 | 55,892 | -36 |
| 2 Nov 2026, 09:29 | 55,928 | +88 |
| 1 Nov 2026, 11:58 | 55,840 | +43 |
| 31 Oct 2026, 12:50 | 55,797 | +155 |
| 30 Oct 2026, 12:37 | 55,642 | +42 |
| 29 Oct 2026, 14:18 | 55,600 | +126 |
| 28 Oct 2026, 13:41 | 55,474 | +111 |
| 27 Oct 2026, 10:48 | 55,363 | +124 |
| 26 Oct 2026, 09:18 | 55,239 | +118 |
| 25 Oct 2026, 09:04 | 55,121 | +23 |
| 24 Oct 2026, 10:45 | 55,098 | +64 |
| 23 Oct 2026, 07:30 | 55,034 | +123 |
| 22 Oct 2026, 04:19 | 54,911 | first reading |
463 posts held, back to 5 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 199 pages of Telegram’s post history, 20 posts per page.
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 97 of 156 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 463 (5 August 2026 – 13 November 2026) |
| Views total | 88,128 |
| Reactions total | 430 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 11:58 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.
Lifetime counters from Telegram’s own channel header, read 13 November 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.
Measured directly from 158 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.
1,192 reactions across 266 posts, in 14 distinct kinds. The most used accounts for 68.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 819 | 68.7% | |
| 👍 | 334 | 28.0% | |
| 🖕 | 14 | 1.17% | |
| 👏 | 5 | 0.419% | |
| 🔥 | 5 | 0.419% | |
| 😍 | 4 | 0.336% | |
| 🌚 | 2 | 0.168% | |
| 🎉 | 2 | 0.168% | |
| 😁 | 2 | 0.168% | |
| ⚡ | 1 | 0.084% | |
| 😱 | 1 | 0.084% | |
| 🙈 | 1 | 0.084% | |
| 🤩 | 1 | 0.084% | |
| 🥰 | 1 | 0.084% |
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 299 of the 463 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 1,192 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 463 most recent posts we hold, published 5 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’s own ‘edited’ marker: 7 of 157 posts held from the last 30 days (4.46%) 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).
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#雨朵 编号: 2730 车牌: @yuduo3 课时费: #5/9 标签:#嫩妹车 #成华区 #5P #代聊 地址:#市二医院 优惠:无 锐评:人照7.5成,年龄19,身高168体重100,皮肤状态一般,胸型大小C,户型馒头B湿紧度适中,服务有陪洗、🐍、口、69。情绪价值一般 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
❤7
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#米娜 编号: 2729 车牌: @MiMnahhh66 课时费: #6/10 标签:#御姐车 #高新区 #6P #代聊 #异域风情 地址:#心岛 优惠:无 锐评:人照9分,23岁身高165cm体重52kg,颜值可以,新疆人异域风情。胸型天然C,饱满挺拔,手感软弹。户型一线天,床上床下都很骚,态度很好,日感很棒,会叫爸爸,情绪价值很高 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#小朵 编号: 2728 车牌: @huaduo592013 课时费: #4/7 标签:#坦克 #成华区 #4P #代聊 地址:#理工大学 优惠:无 锐评:人照8.5年龄21左右身高体重160体重 120左右 小胖妹 皮肤颜色正常 胸部d 有少许纹身 在胸口 腿部 肚子有小肚子 坦克风 下面湿润 紧度适中 帮洗澡 吹 舔胸 胸推 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
❤4👍2
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#陈雨茉 编号: 2727 车牌: @chenyumo001 课时费: #6/10 标签:#嫩妹车 #武侯区 #6P #自聊 #颜值车 #态度车 # 大长腿 #大蟒蛇 地址:#天府三街 优惠:无 锐评:人照8.8分除开美颜几乎一模一样,年龄大概18,身高165左右体重不到90,皮肤状态不错很光滑,胸大概B左右,捏着手感很棒,户型正常,淡粉色,毛量比较少,水多紧度很不错比较敏感,服务认真可舌吻,态度不错全程没有冷场,性价比不错的甜妹 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
❤3
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#舒言 编号: 2726 车牌: @shuyany1 课时费: #7/12 标签:#嫩妹车 #成华区 #7P #代聊 地址:#驷马桥 优惠:无 锐评:人照基本一致,年龄18,身高155体重90,皮肤状态光滑,胸型小a,户型一般紧湿度湿,服务纯自助以及情绪价值 一般 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
👍1
Signed 天涯海角
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#瑶瑶 编号: 2633 车牌: @mumuya111 课时费: #6/10 标签:#武侯区 #6P#御姐车 #代聊 #大蟒蛇 地址:#天府二街 优惠:无 锐评:人照一致,23,165 90,肤白手感滑,胸c,软,下面毛多,紧,日几下水汪汪的,口活好,能🐍能舔,态度好,配合度高,这个价格性价不错。 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#浅浅 编号: 2725 车牌: @qianqian668669 课时费: #6/9 标签:#少妇车 #武侯区 #6P #自聊 #大奶 地址:#建设北路 优惠:无 锐评:人照8.5 有一点美颜,年龄看起来比较幼态,娃娃脸,身高160体重110,皮肤状态光滑,胸型大小d,户型湿紧度水多正常,服务以及情绪价值,刚下水的妹妹,服务态度很好,🐻莎很舒服,开发性高,比较害羞 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
📊 12条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#情情 编号: 1795 车牌: @qqin2026 课时费: #4/7 标签:#嫩妹车 #女菩萨 #态度车 #女友感 #性价比 #代聊 #4P #成华区 地址:#理工大学 优惠:无 锐评:大胸嫩妹,又软又巴适, 颜值担当,性价比超值,一点不机车,很会照顾情绪价值,说话很温柔。 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% 花名:#朵朵 编号: 2596 车牌: @CDxiyao777 课时费: #9/14 标签:#少妇车 #武侯区 #9P #自聊 #服务车 #大长腿 地址:#南门 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
❤1
Signed 芹泽多么伟
📊 7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
Signed 天涯海角
花名:#芊雪 编号: 2723 车牌: @qianxueya 课时费: #7/12 标签:#嫩妹车 #成华区 #7P #代聊 地址:#驷马桥 优惠:无 锐评:人照9分,年龄21岁,身高160体重90,皮肤状态良好,胸型圆润型大小b罩杯,户型蝴蝶逼,湿紧度可以,服务非常到位很听话,基本不过分的话让做什么做什么 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 花名:#果果 编号: 2622 车牌: @shej7381 课时费: #7/12 标签:#嫩妹车 #成华区 #7P #代聊 地址:#东郊记忆 优惠:无 锐评:贵州妹儿,人照7分,真人脸偏瘦,属于同班小隐身女孩长相,胸A乳头小缩红,下面毛不多比较粉嫩,皮肤状态一般,妹妹态度OK,但刚下海属于待调教状态 🦋萝卜青菜,各有所爱🦋 聊天交流 https://t.me/CDCnantuannvtuan
Signed 天涯海角
Showing the 12 most recent of 463 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.
@CDnvtuancy edited 4 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.
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.
Named by 5 registered channels — 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.
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.
@CDnvtuancy named 3 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“成都女团已验证成员” (@CDnvtuancy), 56,751 subscribers as measured 12 November 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.