Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7915053672

Channel
成都高校精选
@CDnenmeiyujiegaoxiao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
37,149subscribers
+2,299 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 | -1002514704887 |
|---|---|
| Type | Channel |
| Username | @CDnenmeiyujiegaoxiao |
| Description | 大群链接 t.me/CDnenmeiyujie 验证车库 t.me/CDnenmeiyujiegaoxiao |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/CDnenmeiyujiegaoxiao |
Topic
Adult — 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 86% 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 |
|---|---|---|
| 24 Sept 2026, 23:18 | 37,149 | -484 |
| 17 Sept 2026, 09:37 | 37,633 | +100 |
| 15 Sept 2026, 08:41 | 37,533 | -10 |
| 13 Sept 2026, 18:18 | 37,543 | +12 |
| 12 Sept 2026, 02:21 | 37,531 | +194 |
| 9 Sept 2026, 16:37 | 37,337 | +472 |
| 6 Sept 2026, 08:02 | 36,865 | +114 |
| 3 Sept 2026, 22:41 | 36,751 | +137 |
| 2 Sept 2026, 11:57 | 36,614 | -91 |
| 1 Sept 2026, 13:25 | 36,705 | +42 |
| 31 Aug 2026, 13:28 | 36,663 | -10 |
| 30 Aug 2026, 10:15 | 36,673 | -31 |
| 29 Aug 2026, 10:36 | 36,704 | +50 |
| 28 Aug 2026, 12:38 | 36,654 | -49 |
| 27 Aug 2026, 14:43 | 36,703 | +135 |
| 26 Aug 2026, 14:33 | 36,568 | +168 |
| 25 Aug 2026, 15:08 | 36,400 | -1,481 |
| 24 Aug 2026, 15:35 | 37,881 | +924 |
| 22 Aug 2026, 22:37 | 36,957 | +61 |
| 21 Aug 2026, 11:07 | 36,896 | first reading |
Engagement
70 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 97 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.50%
- avg views ÷ 37,149 subscribers
- Avg views / post
- 2,790
- 41 posts measured
- Reaction rate
- 0.341%
- reactions ÷ views · ER floor
- Posts in window
- 41
- of 70 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 34 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 70 (5 August 2026 – 28 September 2026) |
| Views total | 114,282 |
| Reactions total | 326 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 15:25 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
- 408
- Videos
- 47
- Links
- 107
Lifetime counters from Telegram’s own channel header, read 28 September 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
- 3m 55s
- Average length
- 10s
Measured directly from 24 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
882 reactions across 57 posts, in 7 distinct kinds. The most used accounts for 83.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 733 | 83.1% | |
| 👍 | 96 | 10.9% | |
| 🔥 | 24 | 2.72% | |
| 🥰 | 15 | 1.70% | |
| 🎉 | 8 | 0.907% | |
| 💩 | 4 | 0.454% | |
| 👏 | 2 | 0.227% |
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 59 of the 70 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 882 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 5 August 2026 to 28 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.
Telegram Stars
- Stars received
- 120
- across the posts below
- Posts paid on
- 47
- of 70 we hold a reading for · 67%
- Most on one post
- 12
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CDnenmeiyujiegaoxiao. 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 70 most recent posts we hold for this entry, published 5 August 2026 to 28 September 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
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都嫩妹御姐高校认证】 ⏺️编号: #B721 💓花名: #雨儿 🚀联系: @xiaoyuer687 📍地址: #高新区 💸课费: 6p/50min 10pp/90min #6/10 🚹标签: #嫩妹 #代聊 #6P #天府一街 #态度车 #颜值车 #身材车 #排骨精 #情绪价值 ❤️硬件: 18 163cm 44kg B+ 🔥服务: 三件套+舌吻+69+深喉 ✅验证: #已验证 报告一 ✏️锐评: 妹子颜值不错,妆容精致,完事后都会补妆,态度好,主动,大蟒蛇,身材略显排骨,天然B+胸,柔软,皮肤光滑,未见纹身,喜欢配合度高口活好高颜值嫩妹御姐的兄弟可以无脑冲。 🔥车库所有老师内部群单P八折报…
❤1
📊 1条车评,综合分 8.5 好评 100% | 人照 9.0 | 服务 7.0 中评 0% | 颜值 9.0 | 态度 8.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B720 💓花名: #泡泡 🚀联系: @paopao3025 📍地址: #成华区 💸课费: 7p/60min 12pp/90min #7/12 🚹标签: #嫩妹 #代聊 #7P #东郊记忆 #态度车 #排骨精 #身材车 #颜值车 ❤️硬件: 19 160cm 45kg C 🔥服务: 三件套+舌吻 ✅验证: #已验证 报告一 ✏️锐评: 高颜值刚下水不久的排骨嫩萝莉!态度很好!不在意服务,吃颜的可冲! 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为560。 💎出击保障计划💎 💗进内部群约课
❤1🥰1
📊 14条车评,综合分 9.3 好评 100% | 人照 9.1 | 服务 9.2 中评 0% | 颜值 9.0 | 态度 9.9 差评 0% | 身材 9.2 | 环境 9.2 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B719 💓花名: #鱼子酱 🚀联系: @yuzijiang01 📍地址: #武侯区 💸课费: 6p/50min 9pp/80min #6/9 🚹标签: #御姐 #自聊 #6P #态度车 #身材车 #情绪价值 #包时 #深喉 ❤️硬件: 21 160cm 42kg B 🔥服务: 三件套+舌吻+69+深喉 ✅验证: #已验证 报告一 ✏️锐评:老师属于态度车御姐车。脸蛋和年龄属于御姐,爱爱有反馈,但是身材又有点像偏萝莉。比较适合喜欢萝莉和小只御姐型ly,喜欢的值得尝试一下。 🔥车库所有老师内部群单P八折报销,即进入内部群原价出…
❤3
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7915053672
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都嫩妹御姐高校认证】 ⏺️编号: #B718 💓花名: #芊雪 🚀联系: @qx52088 📍地址: #高新区 💸课费: 7p/60min 12pp/90min #7/12 🚹标签: #御姐 #代聊 #7P #态度车 #服务车 #情绪价值 #毒龙 ❤️硬件:268 160cm 47kg B+ 🔥服务: 三件套+69+毒龙+漫游 ✅验证: #已验证 报告一 ✏️锐评:老师属于服务型御姐控,喜欢这款的可以冲。 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为560。 💎出击保障计划💎 💗进内部群约课8折💗
❤3🔥1
📊 4条车评,综合分 8.8 好评 100% | 人照 8.5 | 服务 8.8 中评 0% | 颜值 8.8 | 态度 9.2 差评 0% | 身材 9.0 | 环境 8.2 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B717 💓花名: #心心 🚀联系: @wen131120 📍地址: #高新区 💸课费: 6p/60min 10pp/90min #6/10 🚹标签: #御姐 #代聊 #天府三街 #6P #态度车 #身材车 #服务车 #情绪价值 #排骨精 ❤️硬件: 25 165cm 48kg B 🔥服务: 三件套+舌吻+69+毒龙+漫游 ✅验证: #已验证 报告一 ✏️锐评:老师胸软,身高体重比例协调,服务该有都有,要求能满足,适合爱服务和态度加点身材的玩家冲! 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为4…
❤2🔥1
📊 5条车评,综合分 8.9 好评 100% | 人照 9.2 | 服务 8.6 中评 0% | 颜值 8.2 | 态度 9.2 差评 0% | 身材 8.6 | 环境 9.4 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B716 💓花名: #漩涡奶糖 🚀联系: @shinaitang123 📍地址: #锦江区 💸课费: 7p/60min 12pp/90min #7/12 🚹标签: #御姐 #自聊 #7P #通盈街 #态度车 #身材车 #喷水 ❤️硬件: 27 170cm 51kg C 🔥服务: 三件套+舌吻+69 ✅验证: #已验证 报告一 ✏️锐评: 推荐喜欢喷水的狼友去!这是我见过潮喷最厉害的老师,没有之一! 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为560。 💎出击保障计划💎 💗进内部群约课8
❤10🔥1
📊 1条车评,综合分 7.0 好评 100% | 人照 8.0 | 服务 9.0 中评 0% | 颜值 8.0 | 态度 9.0 差评 0% | 身材 8.0 | 环境 0.0 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B715 💓花名: #林兮 🚀联系: @linxi666777888 📍地址: #成华区 💸课费: 7p/60min 11pp/90min #7/11 🚹标签: #御姐 #代聊 #7P #成都东站 #态度车 #颜值车 #情绪价值 ❤️硬件: 24 164cm 47kg B 🔥服务: 三件套+舌吻 ✅验证: #已验证 报告一 ✏️锐评: 软件基本能到服务车级别,情绪价值和服务水平都没得说,i人福星。硬件也很不错,颜值姣好,肤质光滑细腻,除了胸小一点没有其他缺点,pp性价比很高 🔥车库所有老师内部群单P八折报销,即进入内部群原价出…
❤13🔥3
📊 3条车评,综合分 9.0 好评 100% | 人照 8.2 | 服务 8.8 中评 0% | 颜值 9.0 | 态度 9.5 差评 0% | 身材 9.2 | 环境 9.5 👆 【点击查看评价】 【成都嫩妹御姐高校认证】 ⏺️编号: #B714 💓花名: #萧雅轩 🚀联系: @qqm1315 📍地址: #武侯区 💸课费: 11p/60min 18pp/90min #11/18 🚹标签: #御姐 #代聊 #11P #保利天悦 #态度车 #身材车 #颜值车 #大长腿 #情绪价值 ❤️硬件: 20 170cm 50kg C 🔥服务: 三件套+舌吻 ✅验证: #已验证 报告一 ✏️锐评:高颜值御姐车,腿长,情绪价值高,颜值身材没得说。综合硬件 软件条件 推荐打卡 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为880。 💎出击保障…
❤7
🔥纯境•御龙阁🔥 成都顶级御龙秘术 纯境SPA 针对上班蔟 开车蔟 久坐 白领成功人士的劲椎腰酸背痛的调理等🥰 独家泰式拔筋✨提升男性功能 (补肾壮阳 延缓性衰老 改善阳痿早泄等) 手法专业 🫶高颜值 💗 媚舞点火🔥 养🐉 控🐉 花式控🐲 延时脱敏😘边缘控制✨ 扶龙固本✨双龙出海👋 极致手法 控射💦 后入龙泉👉 情趣挑逗🥰制服cos 极度惩罚 🎭 (ps:可私人定制 剧本演绎 可自主开发 小🐶调情) 老师的技术与颜值并存 手法也会根据客人的情况做出调整✨ (属于理疗 功效 舒缓放松于一体 含释放💦) 🔥高端酒店式公寓 氛围拉满🔥 环境优美 私密性高 用品一客一换一消 ✨需要的贵宾一定要抽时间来体验一下!✨ 😄今日正常营业 预约➕客服✨ V💌:AXCbb3 QQ: 3409472018 TG:@Xchun00
❤4
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都嫩妹御姐高校认证】 ⏺️编号: #B713 💓花名: #若雪 🚀联系: @WaSaiya1122 📍地址: #高新区 💸课费: 6p/60min 9pp/90min #6/9 🚹标签: #御姐 #自聊 #6P #天府五街 #艳舞 #情绪价值 ❤️硬件: 26 162cm 50kg B 🔥服务: 三件套+指滑+艳舞 ✅验证: #已验证 报告一 ✏️锐评: 师属于服务型御姐,喜欢这款的可以冲。 🔥车库所有老师内部群单P八折报销,即进入内部群原价出击该老师报销后单P价格为480。 💎出击保障计划💎 💗进内部群约课8折💗
❤14🔥1
Showing the 12 most recent of 70 posts we hold for @CDnenmeiyujiegaoxiao. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@CDnenmeiyujiegaoxiao edited 3 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
- 13 August 2026
- Most recent edit
- 14 August 2026
Mentions
Named by 8 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.
@CDnenmeiyujie · 32,43952 posts高校工兵验证报告(其余车评看车库评论区)
@CDnenmeiyujiebaogao · 4,07243 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,814,56113 postsLotteryBest抽奖导航
@lotterynav · 174,1785 posts南门老表~嫩妹工作室
@qiqi_121213 · 11,7243 posts成都百花半套会所
@CD_baihua · 17,5181 post成都甜魅女仆私人影吧
@cdtmmaid · 4,9611 post成南~初樱嫩妹社❀
@chuyu52 · 3,4251 post成都红浪漫会所
@cn1152 · 3501 post成都重庆以及全国商K介绍
@cysk8888 · 4,6031 postYYの回忆录
@Lzzzz7777 · 1,5581 post蒂芙尼的频道
@TFNhome · 1,4921 post成南~初樱嫩妹社🫧
@xiaotxy · 8,0681 post
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“成都高校精选” (@CDnenmeiyujiegaoxiao), 37,149 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/CDnenmeiyujiegaoxiao.
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.