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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 · Citations · Cite this entry

54,344subscribers

+6,194 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 live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 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 why it has no browse page of its own yet.

Growth

48,15054,41051,2806 August 2026 — 48,150 subscribers6 August 2026 — 48,165 subscribers8 August 2026 — 48,433 subscribers8 August 2026 — 48,584 subscribers10 August 2026 — 48,853 subscribers11 August 2026 — 49,079 subscribers11 August 2026 — 49,273 subscribers12 August 2026 — 49,419 subscribers14 August 2026 — 49,590 subscribers15 August 2026 — 49,925 subscribers16 August 2026 — 49,958 subscribers17 August 2026 — 50,176 subscribers18 August 2026 — 50,397 subscribers19 August 2026 — 50,542 subscribers20 August 2026 — 50,672 subscribers22 August 2026 — 50,722 subscribers23 August 2026 — 50,815 subscribers25 August 2026 — 50,886 subscribers26 August 2026 — 50,958 subscribers27 August 2026 — 51,158 subscribers28 August 2026 — 51,255 subscribers29 August 2026 — 51,398 subscribers30 August 2026 — 51,518 subscribers31 August 2026 — 51,631 subscribers1 September 2026 — 51,710 subscribers2 September 2026 — 51,818 subscribers3 September 2026 — 51,945 subscribers5 September 2026 — 52,254 subscribers8 September 2026 — 52,642 subscribers11 September 2026 — 53,642 subscribers13 September 2026 — 53,899 subscribers14 September 2026 — 54,150 subscribers16 September 2026 — 54,410 subscribers19 September 2026 — 54,344 subscribers54,3446 August 202619 September 2026
34 measurements spanning 43 days, net +6,194. 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 47,211–55,349 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 02:1954,344-66
16 Sept 2026, 18:1854,410+260
14 Sept 2026, 20:5854,150+251
13 Sept 2026, 08:2153,899+257
11 Sept 2026, 12:3553,642+1,000
8 Sept 2026, 19:5652,642+388
5 Sept 2026, 14:3752,254+309
3 Sept 2026, 18:2151,945+127
2 Sept 2026, 09:3451,818+108
1 Sept 2026, 09:2551,710+79
31 Aug 2026, 10:5851,631+113
30 Aug 2026, 10:3751,518+120
29 Aug 2026, 13:1251,398+143
28 Aug 2026, 11:0651,255+97
27 Aug 2026, 07:3451,158+200
26 Aug 2026, 04:2750,958+72
25 Aug 2026, 04:3450,886+71
23 Aug 2026, 22:4250,815+93
22 Aug 2026, 09:0650,722+50
20 Aug 2026, 22:5450,672first reading

Engagement

39 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 113 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 54,344 subscribers
Avg views / post
7,380
20 posts measured
Reaction rate
0.355%
reactions ÷ views · ER floor
Posts in window
20
of 39 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 24 September 2026
Posts held39 (3 August 2026 – 24 September 2026)
Views total147,532
Reactions total524
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 20:00 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
≈1,120
Videos
≈227
Links
≈233

Lifetime counters from Telegram’s own channel header, read 24 September 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
4m 17s
Average length
10s

Measured directly from 26 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

1,192 reactions across 39 posts, in 10 distinct kinds. The most used accounts for 68.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤81368.2%
👍27122.7%
🔥625.20%
👎201.68%
🤮100.839%
👏60.503%
🎉40.336%
🥰30.252%
🐳20.168%
💩10.084%

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 39 of the 39 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 39 most recent posts we hold, published 3 August 2026 to 24 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
131
across the posts below
Posts paid on
34
of 39 we hold a reading for · 87%
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 39 most recent posts we hold for this entry, published 3 August 2026 to 24 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

24 Sept 2026, 16:00 UTC772 views3 reactionsread 24 September 2026
Photo

【成都学院】 【花名】:#小洛丽 【课费】:800P/50分钟 1300PP/90分钟 #8/13 #第一周报成都学院写报告减1 【车牌】:@yangguoguo112233 【位置】:#交子大道 【硬件】:照片9成相似,去掉美白和大眼特效就是本人,本人160身高,80多斤,不是纯排骨精,没有赘肉,身上肉很紧,皮肤光滑,白皮,没有纹身疤痕,重点是胸D-,C+,天赋异禀,萝莉身,脚丫子一手大小,足控狂喜,屁股翘,穿上丝袜腿型好看,脱下后大腿微肉,白虎,三点粉,蝴蝶穴,阴唇较长,进去后包裹感强,湿润度较差。 【详情】:#八折报销 #8P #7P #嫩妹 #萝莉 #三件套 #代聊 #态度车 #颜值车 #武侯区 #蛇蛇精 #69 【提示】:硬件十分突出的合法小蛋糕一枚,缺点则是妹妹比较被动,服务比较简单,和代聊沟通后保证会督促妹妹改正,主动一些并提供情绪价值,后续大家一起监督,特点则是嫩,大胸,白虎,萝莉,几个buff…

❤3

22 Sept 2026, 16:00 UTC≈4,090 views9 reactions2 Starsread 24 September 2026
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【成都学院】 【花名】:#莹宝 【课费】:700P/50分钟 12PP/90分钟 #7/12 【车牌】:@xinbao19 【位置】:#东郊记忆 【硬件】:妹妹18岁,人照8.5分,照片有美颜,真人脸更小,五官更立体。黄白皮,肤质一般,身高170左右,体重100斤左右,身材匀称,🐻B左右。下面毛量偏多,乳头比较粉,很敏感,挑逗的时候身体会有颤抖的反馈,下面褐色,毛量正常,很紧,很敏感,水多很湿。没有纹身,要抽烟。 【详情】:#八折报销 #7P #嫩妹 #三件套 #代聊 #颜值车 #成华区 #舌吻 #敏感车 #大长腿 【提示】:这是一位颜值中上的四川嫩妹,代聊,态度很好,虽然刚下水,但是一点也不会显得生分,老师属于e人,自来熟,完全不冷场。服务比较简单,嫩妹懂得不多,不过菜单上的内容都有。不算大蟒蛇,但是也是有🐍的,床上比较投入,有反差感,由于敏感的缘故,日爽了妹妹会发抖,还会情不自禁的抱紧你。总而言之,…

❤5👍3🔥1

22 Sept 2026, 04:00 UTC≈4,640 views1 reactionsread 24 September 2026
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🎰 🎉成都学院4w人啦🎉 📮 参与条件: 🎫 加入-成都学院日报社 🎫 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 🎁 奖品内容: 💰️ 成都学院已验证老师精选车库任选RMB1000白嫖报销券; × 1 ⚠️ 抽奖说明: 🎉庆祝成都学院4万人🎉 ❗️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09月25日 12时00分00秒

❤1

19 Sept 2026, 16:00 UTC≈7,200 views14 reactions3 Starsread 24 September 2026
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【成都学院】 【花名】:#林兮 【课费】:700P/60分钟 11PP/90分钟 #7/11 【车牌】:@linxi666777888 【位置】:#成渝立交 【硬件】:妹妹24岁,耐看型的小姐姐,代聊,身材匀称。人照8分,照片有美颜,真人比照片好看,脸更小,五官更立体,表情也更生动一些。黄皮,肤质一般,身高165左右,体重100斤左右,🐻B左右。下面毛量偏多,三点深褐色,紧度可以,很敏感,水多很湿。有一两处小纹身,要抽烟。 【详情】:#八折报销 #7P #嫩妹 #御姐 #三件套 #代聊 #颜值车 #成华区 #大蟒蛇 #服务车 #敏感车 【提示】:这是一位颜值中上的四川妹儿,态度巨好,情绪价值拉满了,老师属于e人,自来熟,完全不冷场。服务很好,因为有过做足浴养生SPA(92)的经历,所以很懂男人,也很懂服务,菜单上的内容都有。大蟒蛇,床上特别投入,有反差感,很会调动另一半的兴致,i人福音,适合吃这一款的同学…

❤12👍1🔥1

15 Sept 2026, 16:00 UTC≈11,700 views17 reactions3 Starsread 24 September 2026
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【成都学院】 【花名】:#诗涵 【课费】:700P/50分钟 #7P #报成都学院写报告减1 【车牌】:@SaSn1122 【位置】:#中坝 【硬件】:妹妹20岁,耐看型的嫩妹,自聊,排骨精,腿型好看。人照8分,照片有美颜,真人其实比照片好看些,脸更小。黄皮,肤质一般,算得上滑嫩,身高155左右,体重80斤左右,🐻A+左右。下面毛量正常,三点深褐色,紧度可以,比较敏感,水多很湿。没有纹身,要抽烟。 【详情】:#八折报销 #7P #6P #嫩妹 #三件套 #自聊 #颜值车 #青羊区 #大蟒蛇 #排骨精 #服务车 #敏感车 【提示】:这是一位颜值中等,耐看型的南充嫩妹,态度很好,情绪价值在线,老师属于e人,自来熟,完全不冷场。服务很好,可以算得上服务车,菜单上的深喉,毒龙,水中萧之类的都有,大蟒蛇,唯一美中不足的是老师的四川话有点禁欲,声音与真人不符。写报告-1的优惠后6P的价格,显得很有性价比,适合吃这一款…

❤12👍3👏2

14 Sept 2026, 16:00 UTC≈11,900 views25 reactions1 Starread 24 September 2026
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【成都学院】 【花名】:#钰米 【课费】:500P/50分钟 9PP/90分钟 #5/9 【车牌】:@yumi_886 【位置】:#青龙广场 【硬件】:妹妹18岁,微微有点小肚子,算微胖,甜妹脸御姐身。人照8.5分,没有那么白,算黄皮,身高172左右,体重125斤左右,🐻C,乳头较小,乳晕较小,粉褐色,毛量极少,可以说是白虎一线天,户型好看,很紧,抽插的时候有吮吸感,水比较多,很润。肤质一般,有花臂,腹部有牡丹花纹身,其他地方也多多少少有点纹身,算是符文战神,要抽烟。 【详情】:#八折报销 #5P #嫩妹 #三件套 #自聊 #颜值车 #成华区 #大蟒蛇 #大胸 #BBW #符文 【提示】:这是一位颜值中上的甜妹,态度很好,情绪价值顶级,妹妹之前做过商k,待人处事情商这一块儿绝对没毛病。口活不错,无齿感,会用舌头转圈口,爽的打摆子,只是妹妹有点洁癖,不太能接受她自己的口水味,所以会较为频繁的擦拭。舌吻技术有…

❤18🤮3👍2🔥2

10 Sept 2026, 16:00 UTC≈12,600 views111 reactions3 Starsread 22 September 2026
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【成都学院】 【花名】:#小妖精 【课费】:700P/60分钟 1200PP/90分钟 #7/12 #报成都学院写报告减1 【车牌】:@xiaoyue231 【位置】:#石羊场 【硬件】:真人和视频一致,照片9分相似,22岁重庆妹妹,身高162,体重80多斤到90左右,排骨精,屁股翘,胸b-,皮肤偏白,身上无纹身,皮肤光滑。右胸下方有一不太明显的口子,臀部有些胖胖纹,但是丰满柔软。蝴蝶穴,偏紧,水润。 【详情】:#八折报销 #7P #6P #嫩妹 #三件套 #代聊 #态度车 #颜值车 #武侯区 #蛇蛇精 #大蟒蛇 #69 #女大 【提示】:非常主动的妹妹,很有活力,特色也是如此,非常多的皮肤,我愿称为百变小樱,性格很好,然后身材也很棒,结合成都学院写报告减1的优惠,6P的价格只能说性价比拉满,蛇吻也很主动,i人福音! 【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…

❤79👍27🔥3🎉1💩1

9 Sept 2026, 16:00 UTC≈10,400 views41 reactions3 Starsread 19 September 2026
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【成都学院】 【花名】:#奶欣 【课费】:600P/50分钟 11PP/90分钟 #6/10 #报成都学院PP减1 【车牌】:@naixin88 【位置】:#石羊场 【硬件】:妹妹19岁,匀称微微有肉的类型,腿型好看。人照8.5分,照片有一点美颜。黄皮,肤质一般,略微有点粗糙,身高168左右,体重100斤左右,🐻B+左右,比较挺,🐻型好看。下面毛量正常,三点褐色,紧度可以,比较敏感,很湿。没有纹身,但是左腿内侧有小面积烫伤疤痕,不过不影响观感,不抽烟。 【详情】:#八折报销 #6P #嫩妹 #三件套 #自聊 #颜值车 #武侯区 #大蟒蛇 #大胸 【提示】:这是一位颜值中上的云南嫩妹,态度可以,情绪价值可以,老师属于略显慢热的类型,毕竟刚做这个,但是本质不算内向,多聊几句就打开话匣子了。口活可以,但是只有浅吻,🈚🐍,菜单有的服务都有。总而言之,这是一位颜值在线的微胖嫩妹,情绪价值可以,6P的价位合理,PP价格…

❤34👍6🔥1

7 Sept 2026, 16:00 UTC≈9,290 views83 reactions2 Starsread 15 September 2026
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【成都学院】 【花名】:#言欣 【课费】:1000P/50分钟 16PP/90分钟 #10/16 【车牌】:@yanxinbaobei 【位置】:#晋吉北路 【硬件】:20岁的北方妹妹,五官非常立体,颜值非常高,和穿白衣服视频9层,甚至于其实我对她说的,你的照片视频都没有你本人好看,身高170,体重90,胸b,豆豆和乳晕都很小,排骨精,身体和腿的比例极好,腿很长(见无滤镜实拍视频),无一点点赘肉的腰,妹妹的腰杀人的刀,腰很细,还有我最喜欢的直角肩,加上全身无纹身,黄白皮,大腿无没有赘肉,细长的大腿,一切都是刚刚好,全身无纹身,皮肤光滑细嫩,肤质很好,黄白皮,豆豆中等大小,乳晕都小,颜色褐色偏粉,下面人工白虎,户型为一线天,外侧浅褐色,内侧粉嫩,大腿皮肤也很丝滑,包裹感和褶皱感一般,小鸡儿觉得比较松,可能这就是美女的通病吧,但是颜值即正义,在上面俯瞰她的时候,真的在看艺术品在雕琢的过程,就是享受; 【详情】:#…

❤60👍20🔥2👏1

4 Sept 2026, 16:00 UTC≈11,000 views46 reactions4 Starsread 14 September 2026
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【成都学院】 【花名】:#芯满 【课费】:600P/50分钟 11PP/90分钟 #6/10 #报成都学院PP减1 【车牌】:@xinmei082 【位置】:#大源 【硬件】:妹妹19岁,微微有点小肚子,算微胖,不坦。人照8分,没有那么白,算黄皮偏黑,身高165左右,体重110斤左右,🐻C,乳头较小,乳晕较小,褐色,毛量正常,蝴蝶批,户型好看,紧,水比较多,很润。肤质一般,有点粗糙,胸口有个淡淡的素花纹身,要抽烟。 【详情】:#八折报销 #6P #嫩妹 #三件套 #代聊 #颜值车 #武侯区 #大蟒蛇 #大胸 【提示】:这是一位颜值中上的宁夏妹子,态度可以,情绪价值一般,妹妹有点内向,不太会主动找话聊。口活不错,无齿感,会用舌头转圈口,爽的打摆子。舌吻技术有进步空间,勉强算大蟒蛇。总而言之,这是一位硬件在线,软件上略逊一筹的微胖嫩妹,吃这款颜值,喜欢微胖类型的推荐打卡,性价比可以。 【报销】:成都学院,满足…

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3 Sept 2026, 16:00 UTC≈8,760 views20 reactions3 Starsread 10 September 2026
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【成都学院】 【花名】:#婉婉 【课费】:700P/50分钟 12PP/90分钟 #7/12 #报成都学院写报告减1 (前一周) 【车牌】:@wwwanwan1 【位置】:#誉峰 【硬件】:妹妹24岁,微微有点小肚子,算不上排骨精。人照8分,没有那么白,算黄皮偏黑,身高165左右,体重105斤左右,🐻B,乳头较小,乳晕较小,褐色,毛量正常,蝴蝶批,户型好看,紧度一般,水比较多,很润。肤质可以,比较光滑,手臂有纹身,要抽烟。 【详情】:#八折报销 #7P #6P #御姐 #三件套 #代聊 #颜值车 #武侯区 #大蟒蛇 【提示】:这是一位颜值中上的云南御姐,态度可以,情绪价值一般,妹妹有点内向,性子偏冷,接话聊天还是可以的,只是不太会主动找话聊。口活不错,无齿感,含的深,大蟒蛇。总而言之,这是一位耐看类型的云南御姐,情绪价值稍欠,硬件可以,适合比较能找话聊的同学们去上课,吃这一款颜值的也可以打卡,以上。 【报…

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3 Sept 2026, 07:00 UTC≈7,110 views5 reactions1 Starread 9 September 2026

成都学院日报社,每日午间、晚间汇总群内消息,让你不再爬楼即可吃瓜; https://t.me/ChengDuXueYuanRiBaoShe

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Showing the 12 most recent of 39 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

Mentions

Named by 14 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 19 September 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), 54,344 subscribers as measured 19 September 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.