Telegram RegisterThe public register of Telegram
Telegram profile photo for 成都学院已验证老师精选车库

Channel

成都学院已验证老师精选车库

@chengduxueyuanchekus3

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

62,807subscribers

+14,657 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-1002299248361
TypeChannel
Username@chengduxueyuanchekus3
Description提供给同学们一个纯粹、公益且不带任何利益的讨论和交流平台。 回到我们来电报的最纯粹的目的,就是为了找到更优质的老师,上更好的课。 学院: @ChengDuXueYuan 车库: @ChengDuXueYuanCheKuS3 报告: @ChengDuXueYuanBaoGao
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/chengduxueyuanchekus3

Topic

Other / unclassifiable — 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 56% 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

48,15062,80755,478.56 August 20267 November 2026
63 measurements spanning 93 days, net +14,657. 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 45,951–65,006 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
7 Nov 2026, 14:5162,807+239
6 Nov 2026, 16:4962,568+173
5 Nov 2026, 15:1562,395+259
4 Nov 2026, 12:0662,136+275
3 Nov 2026, 10:4561,861+233
2 Nov 2026, 08:5961,628+322
1 Nov 2026, 05:2861,306+235
31 Oct 2026, 02:3861,071+194
30 Oct 2026, 05:0660,877+120
29 Oct 2026, 08:2860,757+236
28 Oct 2026, 07:5960,521+245
27 Oct 2026, 08:2960,276+160
26 Oct 2026, 11:1860,116+128
25 Oct 2026, 11:4659,988+106
24 Oct 2026, 14:0959,882+156
23 Oct 2026, 17:1859,726+134
22 Oct 2026, 16:0859,592+173
21 Oct 2026, 11:4859,419+127
20 Oct 2026, 11:1959,292+122
19 Oct 2026, 10:2659,170first reading

Engagement

67 posts held, back to 3 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 210 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.0%
avg views ÷ 62,807 subscribers
Avg views / post
6,920
23 posts measured
Reaction rate
0.887%
reactions ÷ views · ER floor
Posts in window
23
of 67 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held67 (3 August 2026 – 8 November 2026)
Views total159,102
Reactions total1,411
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 13:22 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
≈1,250
Videos
≈265
Links
≈260

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
7m 38s
Average length
10s

Measured directly from 46 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

3,592 reactions across 67 posts, in 10 distinct kinds. The most used accounts for 62.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,23162.1%
👍1,19033.1%
🔥1093.03%
👎320.891%
🤮100.278%
🎉60.167%
👏60.167%
🥰40.111%
🐳20.056%
💩20.056%

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 67 of the 67 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 3,592 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 67 most recent posts we hold, published 3 August 2026 to 8 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
214
across the posts below
Posts paid on
62
of 67 we hold a reading for · 93%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chengduxueyuanchekus3. 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 67 most recent posts we hold for this entry, published 3 August 2026 to 8 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: 0 of 23 posts held from the last 30 days (0%) 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).

8 Nov 2026, 10:10 UTC612 views2 reactionsread 8 November 2026
Photo

🎰 🎉天天开心🎉 📮 参与条件: 🎫 加入-安然的小窝 🎫 加入-成都学院(中转群) └ 🔑 发送口令﹝天天开心﹞ 🎫 加入-成都学院 🎫 加入-成都学院已验证老师精选车库 🎫 加入-Doctor的诊断记录 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 安然单P 白嫖券 × 1 💰️ 安然课费 100优惠券 × 6 💰️ 安然课费 200优惠券 × 5 💰️ 安然课费 300优惠券 × 3 💰️ 安然课费 450优惠券 × 1 💰️ 现金口令 288 × 1 ⚠️ 抽奖说明: ❗️无用户名、炸号、中奖后退出群组或频道不予兑奖; ❗️中奖后需要在48小时内联系兑奖人兑奖,过时不兑换,不能转让; ❗️开奖前在Doctor的诊断记录有点赞和评论记录才能兑奖; 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月11日 12时00分00秒

❤2

7 Nov 2026, 16:00 UTC≈2,600 views13 reactions5 Starsread 8 November 2026
Photo

【成都学院】 【花名】:#蒂芙尼 【课费】:700P/50分钟 1200PP/90分钟 #7/12 #报成都学院写报告减1 【车牌】:@reina20250827 【位置】:#十里店 【硬件】:20岁的四川妹妹,甜妹儿类型,没有露脸照,不能评价相似度,身材和照片几乎一致,身高165,体重95斤,胸b-,胸部有一小块疤痕,皮肤偏白,乳头粉,身材比例好,腿长,下面正常户型,颜色偏褐色,里面粉嫩,进入有包裹感,较浅。 【详情】:#八折报销 #成华区 #7P #6P #嫩妹 #甜妹 #三件套 #自聊 #态度车 #浅吻 #颜值车 #大长腿 【提示】:合法甜妹,真人颜值中上水平,服务相对来说比较少,没有舌吻和69,但是其他的服务做的还是很到位,口技也不错,整个过程中情绪价值也很到位,尤其是做爱的反馈,眼睛勾人,会喊爸爸,声音很好听,而且很敏感。喜欢甜妹儿的结合报成都学院写报告减1的活动性价比拉满。 【报销】:成都学院,满…

❤9👍3🔥1

6 Nov 2026, 16:00 UTC≈4,290 views78 reactions3 Starsread 8 November 2026
Photo

【成都学院】 【花名】:#lucky 【课费】:800P/50分钟 1500PP/90分钟 #8/15 #第一周报成都学院写报告减1 【车牌】:@miamiacheng2016 【位置】:#仁和新城 【硬件】:24岁的御姐,人照9分左右,比照片要显年轻,身高一米六,体重80多斤,有较为明显的健身痕迹,有腹肌,胸b,掌中宝,皮肤光滑,无纹身,正常户型,偏紧,会用润滑油肯定很湿润。 【详情】:#八折报销 #武侯区 #高新区 #8P #7P #御姐 #三件套 #自聊 #态度车 #蛇吻 #颜值车 #大长腿 #69 #臀推 #水中箫 #双飞 【提示】:身材,态度,颜值都在线的御姐健身媛,情绪价值到位,口技有特色,慢吞细口,还有时不时的深喉,缺点是身高,其他的在8p这个价格都有性价比,可以和沫沫双飞,配合默契,可以去体验。 【报销】:成都学院,满足5学分,车库老师八折报销 【作业】:参考作业01 参考作业02 参考作…

👍41❤35🔥2

5 Nov 2026, 16:00 UTC≈5,600 views111 reactions8 Starsread 8 November 2026
Photo

【成都学院】 【花名】:#黎吧啦 【课费】:1000P/50分钟 1600P/90分钟 #10/16 #报成都学院写报告减1 【车牌】: @libalabao 【位置】:#高升桥 【硬件】:在深圳长大的武汉妹妹,22岁左右,自述大四未毕业,视频本人,人照8分,本人和照片打扮一样,大黑框眼睛,棒球帽,本人没有视频甜美,本人摘下眼镜之后更加御姐一点,身高170,体重100,胸C,挺拔无科技,豆豆小,乳晕较大,全身无赘肉,但也不是排骨精,全身无纹身,皮肤光滑细嫩,肤质很好,皮肤偏白,乳晕都豆豆颜色都是粉色,下面工人白虎,颜色浅褐色,可以归于粉色,G点凸出很高,馒头逼,下面有蝴蝶,进入之后,褶皱感和包裹感很明显,会夹; 【详情】:#八折报销 #10P #9P #御姐 #嫩妹 #三件套 #代聊 #颜值车 #武侯区 #敏感车 #SM #蛇蛇精 #大蟒蛇 #大胸 #三点粉 #大长腿 #白虎 【提示】:优点是身材可能是很多同学喜…

👍56❤46👎8🔥1

4 Nov 2026, 16:01 UTC≈5,660 views88 reactions4 Starsread 7 November 2026
Photo

【成都学院】 【花名】:#喵叽小糯 【课费】:700P/50分钟 1200P/90分钟 #7/12 【车牌】: @mjxn2 【位置】:#昭觉寺 【硬件】:四川人,07年2月份的,19岁。人照8.5分,真人跟视频基本一致,素颜纯甜妹。黄白皮,肤质尚可。身高160左右,体重90斤左右。🐻B左右,乳头介于褐色和粉色之间,乳晕正常。下面是白虎,户型是类似包子批和馒头比的类型,插入后有紧烫感,刚开始比较涩,水比较少,后续很润。有多处纹身,不抽烟,之前有鼻环舌钉之类的打孔,目前因为发炎取掉了,没戴。 【详情】:#八折报销 #7P #嫩妹 #三件套 #代聊 #颜值车 #成华区 #敏感车 #态度车 #SM #蛇蛇精 【提示】:代聊,身材属于匀称的类型,有胸有屁股不平板,同时也没啥赘肉。服务就是正常的三件套,女上技术一般,大蟒蛇,舌头很灵活,口的很舒服,妹妹兼具s和m的属性,感兴趣的可以亲自尝试。情绪价值在线,聊天不…

❤52👍33🔥3

4 Nov 2026, 04:00 UTC≈4,780 views12 reactionsread 6 November 2026
Photo

🎰 🎉天天开心🎉 📮 参与条件: 🎫 加入-南门老表~嫩妹工作室 └ 🔑 发送口令﹝天天开心﹞ 🎫 加入-南门老表~嫩妹工作室 🎫 加入-成都学院 🎫 加入-成都学院已验证老师精选车库 🎫 加入-Doctor的诊断记录 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 价值CNY1000车库老师白嫖券 × 1 💰️ 现金口令 188 × 2 💰️ 现金口令 228 × 2 💰️ 现金口令 88 × 2 💰️ 老表工作室 200优惠券 × 5 💰️ 老表工作室任选单P 白嫖券 × 1 ⚠️ 抽奖说明: ❗️无用户名、炸号、中奖后退出群组或频道不予兑奖; ❗️中奖后需要在48小时内联系兑奖人兑奖,过时不兑换,不能转让; ❗️开奖前在成都学院已验证老师精选车库有点赞和评论记录才能兑奖; ❗️车库报销券需要中奖人需要先上课,后找兑奖人报销,报销流程参照成都学院报销规则; ❗️报销金额为1000口令,不限制P或…

❤6👍6

2 Nov 2026, 16:00 UTC≈5,870 views104 reactions2 Starsread 6 November 2026
Photo

【成都学院】 【花名】:#白芷 【课费】:600P/50分钟 1000P/80分钟 #6/10 【车牌】:@xhl19123 【位置】:#春熙路 【硬件】:08年的重庆妹儿,第一个白t黑色针织外套视频,人照8.3,本人是可爱的甜妹类型,身高165左右,体重98左右,胸C,很挺,无下垂,竹笋状,乳晕和奶头中等偏小,全身无赘肉,脸蛋光洁无痘痘,全是无纹身,后背应该是那种油痘体质,乳晕和豆豆都是很浅的褐色,下面毛量中等偏少,浅褐色,小蝴蝶,进入后褶皱感和包裹感比较强烈,水也属于越夺越夺,会自然呻吟和咬舌头,脖子和胸很敏感,各种姿势都很配合,整体doi的感觉不错; 【详情】:#八折报销 #6P #嫩妹 #三件套 #代聊 #颜值车 #锦江区 #态度车 #身材车 #大胸 #女高 #女友感 #69 #蛇蛇精 #大蟒蛇 【提示】:6P的价格,有这个身材和脸蛋,服务该有的也都有,虽然做的不是很好,但她也在努力的做好,6P价格基本属于…

❤67👍33🔥4

1 Nov 2026, 16:00 UTC≈5,960 views13 reactions3 Starsread 5 November 2026
Photo

【成都学院】 【花名】:#小七 【课费】:700P/50分钟 1200P/80分钟 #7/12 #报成都学院写报告减1 【车牌】:@xxqq5000 【位置】:#春熙路 【硬件】:广西人,08年9月份的,18岁,刚成年。人照9分,真人其实比照片要好看一些,更可爱,甜美眼镜娘。黄皮,肤质一般,后背和手臂会有点粗糙。身高165左右,体重90斤左右。🐻A➕,乳头浅褐色,乳晕正常。下面外褐内粉,毛量较少,很紧,水比较少,无纹身,不抽烟。 【详情】:#八折报销 #7P #6P #嫩妹 #三件套 #代聊 #颜值车 #锦江区 #态度车 【提示】:代聊,身材介于排骨和微胖之间,比较匀称。服务就是正常的三件套,业务不太熟练,不过态度很好,肯学,擅长教学的可以去体验手把手调教的感觉。总体来说优缺点很明显,适合吃嫩妹,喜欢这一款颜值,且不太介意没服务的同学们打卡。 【报销】:成都学院,满足5学分,车库老师八折报销 【作业】:参考作…

❤10🔥2👍1

31 Oct 2026, 16:00 UTC≈7,370 views11 reactions3 Starsread 5 November 2026
Photo

【成都学院】 【花名】:#小野 【课费】:700P/50分钟 1200PP/90分钟 #7/12 【车牌】:@Xiaoye52010 【位置】:#火车南站 【硬件】:河南妹妹,人照8.5,年龄22,冷白皮,身高160左右,体重95,胸B,身材较为匀称,大腿还是有点肉,全身无纹身,乳晕和豆豆正常大小、正常褐色,逼型为蝴蝶,毛量较多,外侧正常褐色,内侧粉嫩,情绪价值很高,做爱比较投入,下面进入后紧致,水多且敏感,大蟒蛇,能一直蛇,蛇蛇精有福了,不抽烟。 【详情】:#八折报销 #武侯区 #7P #嫩妹 #三件套 #自聊 #态度车 #蛇蛇精 #颜值车 #敏感车 #态度车 #大蟒蛇 #冷白皮 #无烟车 【提示】: 名声在外的一位老师,颜值中上,整体身材匀称且皮肤白,情绪价值高,前戏时间长,适合喜欢大蟒蛇、冷白皮、情绪价值高的狼友出击。 【报销】:成都学院,满足5学分,车库老师八折报销 【作业】:参考作业01 参考作业02…

❤8🔥2👍1

30 Oct 2026, 16:00 UTC≈7,340 views19 reactions4 Starsread 4 November 2026
Photo

【成都学院】 【花名】:#悠悠 【课费】:800P/50分钟 1400P/90分钟 #8/14 #报成都学院写报告减1 【车牌】: @uouu688 【位置】:#高升桥 【硬件】:四川妹妹,人照8.5分,22岁,照片甜妹,本人御姐,见我的时候,黑色西装,牛仔裤,很御,也很欲,身高165,体重98,胸B,乳晕和豆豆中等大小,大屁股,不是我喜欢的排骨精,但是应该是本群绝大多数人喜欢的那种身材,除了胸,该有肉的地方全有肉,但是又一点也不胖,全身皮肤中等颜色,大腿有个纹身,不算大,乳晕和豆豆颜色中等褐色,下面毛量很多,很旺盛,外褐内粉,下面松紧度中等,有包裹感和褶皱感,但是很浅,女上的时候,一直能顶到她的里面,感觉她的里面在不停的呼吸,做爱反馈很好,今天完完整整桩了30分钟,中间我都喊停了说不做了,反正就是不行,必须要做; 【详情】:#八折报销 #8P #7P #御姐 #三件套 #代聊 #颜值车 #武侯区 #态度车 #蛇蛇…

❤15👍2👎1🔥1

29 Oct 2026, 16:00 UTC≈6,360 views39 reactions2 Starsread 2 November 2026
Photo

【成都学院】 【花名】:#润姬 【课费】:800P/50分钟 1300P/90分钟 #8/13 #报成都学院写报告减1 【车牌】: @runjij 【位置】:#春熙路 【硬件】:河北人,20岁。人照8.5分,甜御风。黄白皮,肤质尚可。身高166左右,体重110斤左右,肉主要分布在大腿和屁股上,所以算是前凸后翘,梨形身材,有曲线美。🐻C左右,乳头浅褐色,乳晕正常。下面外褐内粉,毛量较少,紧,水很多,无纹身,要抽烟。 【详情】:#八折报销 #8P #7P #嫩妹 #御姐 #三件套 #代聊 #颜值车 #锦江区 #敏感车 #态度车 【提示】:代聊,身材属于微胖类型,非排骨。服务就是正常的三件套,女上技术一般,大蟒蛇,舌头很灵活,口的很舒服,同时有眼神交流。情绪价值在线,聊天不冷场。妹妹比较爱干净,所以口的时候会经常吐口水,可能有些同学会介意。总体来说适合喜欢微胖的同学打卡。 【报销】:成都学院,满足5学分,车库…

❤23👍14🔥2

28 Oct 2026, 16:00 UTC≈7,450 views49 reactions3 Starsread 1 November 2026
Photo

【成都学院】 【花名】:#梦汐 【课费】:800P/50分钟 1400PP/90分钟 #8/14 #报成都学院写报告减1 【车牌】:@mengxya 【位置】:#驷马桥 【硬件】:18岁的湖南妹妹,身高167,体重90斤,胸b+,舞蹈专业,人照和视频一样,牙齿部位有点突,稍微影响美观,身上有两处纹身,蝴蝶,阴唇突出,人工白虎,包裹感强。 【详情】:#八折报销 #成华区 #8P #7P #嫩妹 #三件套 #代聊 #态度车 #蛇蛇精 #颜值车 【提示】:之前在外地做过大圈,服务中规中矩,颜值中等偏上,优点是年轻,态度好,全程陪伴式服务,视频里看体态不错,去的时候感觉稍微有点含胸,总的来说这个价格的嫩御妹妹性价比不错,综合一下报告减一性价比很高,主要是打扮的比较御姐,身材也是,这种款式的相对较少,可以体验。 【报销】:成都学院,满足5学分,车库老师八折报销 【作业】:参考作业01 参考作业02 参考作业03 参考…

❤27👍20👎1🔥1

Showing the 12 most recent of 67 posts we hold for @chengduxueyuanchekus3. 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

@chengduxueyuanchekus3 edited 1 post 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
21 August 2026
Most recent edit
21 August 2026

Posts recorded as deleted after publishing

We recorded 21 posts on @chengduxueyuanchekus3 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
8 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
5

Mentions

Named by 15 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.

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

“成都学院已验证老师精选车库” (@chengduxueyuanchekus3), 62,807 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/chengduxueyuanchekus3.

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.