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Channel

成都学院车库

@chengduxueyuancheku

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

14,033subscribers

-211 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002330660975
TypeChannel
Username@chengduxueyuancheku
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live19 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/chengduxueyuancheku

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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

14,03314,24414,138.58 August 2026 — 14,244 subscribers8 August 2026 — 14,241 subscribers9 August 2026 — 14,233 subscribers10 August 2026 — 14,230 subscribers11 August 2026 — 14,222 subscribers12 August 2026 — 14,219 subscribers14 August 2026 — 14,214 subscribers16 August 2026 — 14,206 subscribers17 August 2026 — 14,195 subscribers18 August 2026 — 14,189 subscribers19 August 2026 — 14,179 subscribers20 August 2026 — 14,174 subscribers21 August 2026 — 14,172 subscribers22 August 2026 — 14,177 subscribers24 August 2026 — 14,159 subscribers25 August 2026 — 14,155 subscribers26 August 2026 — 14,141 subscribers27 August 2026 — 14,135 subscribers28 August 2026 — 14,127 subscribers29 August 2026 — 14,119 subscribers30 August 2026 — 14,112 subscribers31 August 2026 — 14,106 subscribers1 September 2026 — 14,099 subscribers3 September 2026 — 14,094 subscribers4 September 2026 — 14,082 subscribers8 September 2026 — 14,070 subscribers11 September 2026 — 14,056 subscribers13 September 2026 — 14,059 subscribers14 September 2026 — 14,050 subscribers16 September 2026 — 14,037 subscribers19 September 2026 — 14,033 subscribers8 August 202619 September 2026
31 measurements spanning 42 days, net -211. 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 14,001–14,276 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
19 Sept 2026, 06:3714,033-4
16 Sept 2026, 17:5814,037-13
14 Sept 2026, 18:5614,050-9
13 Sept 2026, 03:3914,059+3
11 Sept 2026, 04:1814,056-14
8 Sept 2026, 06:3914,070-12
4 Sept 2026, 23:5914,082-12
3 Sept 2026, 08:5714,094-5
1 Sept 2026, 00:4714,099-7
31 Aug 2026, 00:0414,106-6
30 Aug 2026, 01:3614,112-7
29 Aug 2026, 03:0314,119-8
28 Aug 2026, 01:5414,127-8
27 Aug 2026, 00:3414,135-6
26 Aug 2026, 00:4114,141-14
25 Aug 2026, 03:5714,155-4
24 Aug 2026, 01:2714,159-18
22 Aug 2026, 12:1314,177+5
21 Aug 2026, 05:5814,172-2
20 Aug 2026, 03:5314,174first reading

Engagement

23 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.43%
avg views ÷ 14,033 subscribers
Avg views / post
621
8 posts measured
Reaction rate
0.204%
reactions ÷ views · ER floor
Posts in window
8
of 23 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 7 of 8 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 1 September 2026
Posts held23 (3 August 2026 – 1 September 2026)
Views total4,968
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:12 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

Video runtime
2m 37s
Average length
10s

Measured directly from 16 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

37 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 89.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3389.2%
👍25.41%
👎25.41%

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 21 of the 23 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 3 August 2026 to 1 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.

Recent posts

1 Sept 2026, 16:00 UTC396 views0 reactionsread 2 September 2026
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【成都学院】 【花名】:#舒雅 【课费】:700P/50分钟 12PP/90分钟 #7/12 【车牌】:@shuya521 【位置】:#天府二街 【硬件】:妹妹24岁,人照8分,没有那么白,算黄白皮,身高160左右,体重90斤左右,🐻B+,勉强算细枝硕果,乳头较小,略微凹陷,下面蝴蝶批,外褐内粉,毛量较少,户型好看,紧致且有包裹感,刚开始还觉得有点烫,水比较多,很润,做爱比较投入,特别是我🐍的时候,下面会不由自主的收缩。肤质可以,比较光滑,有多处纹身,要抽烟。 【详情】:#八折报销 #7P #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妹子,排骨精。态度可以,情绪价值一般,妹妹有点内向,性子偏冷,当然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,能69不能扣。总而言之,这是一位耐看类型的御姐,长相有几分像周迅,情绪价值一般,硬件可以,刚下水…

31 Aug 2026, 16:00 UTC547 viewsread 2 September 2026
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【成都学院】 【花名】:#小福 【课费】:800P/60分钟 1300PP/90分钟 #8/13 #报成都学院写报告减1 【车牌】:@fu0813 【位置】:#天府一街 【硬件】:湖南妹妹,人照8.5,年龄22左右,脸上有整容的痕迹,但看着还是比较自然,身高167,体重93,身材匀称偏排骨,科技胸C,腹肌明显,但大概率还是整容的,全身无纹身,正常肤色偏白,乳房下方有隆胸疤痕,小腹处有腹肌微调疤痕,乳晕和豆豆正常大小、正常褐色,逼型为蝴蝶,毛量正常,有修剪的痕迹,外侧正常褐色,内侧粉嫩,平时不抽烟,但客人要求的话也能陪着抽一根。 【详情】:#八折报销 #武侯区 #8P #7P #御姐 #三件套 #代聊 #态度车 #蛇蛇精 #69 #颜值车 #敏感车 #态度车 #大长腿 #排骨精 #大蟒蛇 【提示】: 从上海过来的御姐,颜值较高,服务主动且魅惑,情绪价值也不错,就是整个人有科技感,脸、胸部、腹部都有痕迹。能接受科技感、…

30 Aug 2026, 15:59 UTC645 views2 reactionsread 2 September 2026
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【成都学院】 【花名】:#眠眠 【课费】:800P/60分钟 1300PP/90分钟 #8/13 #报成都学院写报告减1 【车牌】:@ManM668o 【位置】:#武侯大道 【硬件】:19岁,四川妹妹,人照9,一眼就能感觉到青春的气息,大眼睛扑闪扑闪的,身高腿又长,身高172,体重88,极致排骨精,浑身无一丝赘肉,胸A,乳晕和豆豆正常大小、正常褐色,右手有纹身,同时左腿有大量纹身,正常肤色偏白,逼型为蝴蝶,毛量较为浓密,外侧正常褐色,内侧粉嫩,要抽烟,但舌吻无烟味,房间也无烟味,抽烟都是在另一个房间。 【详情】:#八折报销 #武侯区 #8P #7P #嫩妹 #三件套 #代聊 #态度车 #蛇蛇精 #69 #颜值车 #敏感车 #女友感 #态度车 #大长腿 #排骨精 【提示】: 老英雄回归,虽然比较高但是嫩妹感铺面而来,身材对我来说很好,极致排骨精,无一丝赘肉,做爱敏感,下面紧、润,颜值也高。喜欢高颜值、排骨身材、做爱敏…

❤2

29 Aug 2026, 16:00 UTC767 views1 reactionsread 2 September 2026
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【成都学院】 【花名】:#星阑 【课费】:800P/50分钟 14PP/90分钟 #8/13 #报成都学院写报告减1(前一周) 【车牌】:@xinglany 【位置】:#高升桥 【硬件】:21岁的女大,四川妹妹,看第一张照片8层相似,其他照片是ai,身材很御,但是长相甜美,巴掌大的脸,小脸长身,身高170,体重85,胸a,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),腰很细,居然还有我最喜欢的直角肩,整个身材确实硬件很顶,仅限喜欢排骨精,全身无纹身,皮肤光滑细嫩,肤质很好,黄白皮,豆豆和乳晕都很小,颜色异常粉嫩,刚脱衣服乳头凹陷,亲吻之后,里面凸出,小豆豆太可爱了,下面毛量偏少,户型为一线天,外侧浅褐色,内侧粉嫩,大腿皮肤也很丝滑,进入后有明显的包裹感和褶皱感,小鸡儿觉得紧,后入简直受不了,白浆特别多,做爱的叫声也是我出击过这么多女孩子最特别的; 【详情】:#八折报销 #7P #8P #…

❤1

28 Aug 2026, 16:00 UTC705 views2 reactionsread 1 September 2026
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【成都学院】 【花名】:#葱味兔 #miku 【课费】:700P/50分钟 12PP/90分钟 #7/12 【车牌】:@Mikutu39 【位置】:#昭觉寺 【硬件】:妹妹19岁,人照有个8分,真人稍微比照片更胖一点,没有那么白,妆容打扮神似网黄噗噗,有点欲。身高165左右,体重110斤左右,微胖BBW,脱衣其实不显胖。🐻C+左右,乳头小巧,乳晕正常,毛量偏少,相当紧,很润,做爱比较投入,日爽了会喊爸爸。肤质一般,不算很光滑,黄皮,胸口和胳膊以及大腿上有英文纹身,不抽烟。 【详情】:#八折报销 #7P #嫩妹 #三件套 #代聊 #颜值车 #成华区 #大蟒蛇 #微胖 #BBW 【提示】:这是一位颜值中上的微胖萌妹。态度很好,情绪价值高,口活和吻技都不错,大蟒蛇,嘴巴很软,亲起来很舒服。总而言之,这是一位颜值在线,身材很有料的BBW,情绪价值高,有COS属性加成,喜欢这一款的可以打卡 【报销】:成都学院,满足…

❤2

28 Aug 2026, 04:00 UTC658 views2 reactionsread 31 August 2026
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【成都学院】 【花名】:#纯纯 【课费】:800P/50分钟 1300PP/90分钟 #8/13 #报成都学院写报告减1 【车牌】:@chunchun041 【位置】:#石羊场 【硬件】:21岁江西妹妹,人照8.5分左右,视频去掉美颜,本人偏欲一点。整体妆容偏成熟,十分契合她的风格。身高162左右,体重100左右。胸D,肚子稍微有一点肉,肉集中在屁股和大腿上,梨形身材,微胖。皮肤颜色中等偏黄,没有纹身,乳晕正常浅褐色,乳头凹陷,下面人工白虎,外褐内粉,户型好看 【详情】:#八折报销 #8P #7P #御姐 #三件套 #代聊 #态度车 #武侯区 #颜值车 #敏感车 #无烟车 #蛇蛇精 #69 #微胖 #BBW 大蟒蛇 【提示】: 开8的妹妹,颜值不错,常备情趣内衣,舌吻、69等课表都有,主动伸舌头,口技也不错,如果不让结束的话可以口很久,胸大,情绪价值很高,全程没有玩过手机,后续比较期待狼友能去体验一下其他姿势,报成…

❤2

27 Aug 2026, 16:00 UTC628 views1 reactionsread 30 August 2026
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【成都学院】 【花名】:#啾啾 【课费】:800P/50分钟 14PP/90分钟 #8/14 【车牌】:@jiu520jiu99 【位置】:#晋吉北路 【硬件】:20岁马上大二的可可爱爱山东妹妹,果然山东出美女,和第一个视频9层,是我喜欢的类型,可爱中有俏皮,俏皮中又有她独特的美丽,加上她的一对小虎牙,可爱的buff被她叠满,身高170,体重95,胸C(无科技),很挺,完全无下垂,乳晕较大,豆豆较小,腰部无赘肉,没有小肚子,大长腿,屁屁有肉,大腿有肉,小腿细,大面积纹身扣大分,皮肤颜色中等偏黄,乳晕和豆豆正常浅褐色,下面人工白虎,外褐内粉,她真的好听话,第一次见她的时候,我叫她全部刮了,今天见面还骄傲的跟我说,现在下面是白虎了,她真的太可爱了,进入后有明显的包裹感和褶皱感,小鸡儿觉得紧,感觉水也很多,很润,很会夹; 【详情】:#八折报销 #8P #嫩妹 #三件套 #代聊 #颜值车 #武侯区 #大蟒蛇 #大胸 …

❤1

26 Aug 2026, 16:00 UTC622 views1 reactionsread 29 August 2026
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【成都学院】 【花名】:#冰冰 【课费】:500P/50分钟 10PP/90分钟 #5/10 【车牌】:@binbiniwii 【位置】:#驷马桥 【硬件】:妹妹18岁,人照8分,真人比照片更胖一点,没有那么白。身高162左右,体重120斤左右,对于部分人来说可能算偏坦,肉没胖胸上,🐻只有B+左右,乳头小巧,乳晕较小,毛量正常,之前刮过略微有点扎人,相当紧,很润,做爱比较投入。肤质一般,不算很光滑,黄皮,没纹身,要抽烟。 【详情】:#八折报销 #5P #嫩妹 #三件套 #代聊 #颜值车 #成华区 #大蟒蛇 #微胖 #BBW 【提示】:这是一位颜值中等的四川妹子,微胖萌妹。态度很好,情绪价值可以,口活和吻技都不错,大蟒蛇,能深喉,不过没别的服务了,中心是三件套。总而言之,这是一位🐻不算大的微胖萌妹,有隐藏的m属性,情绪价值高,喜欢这一款的可以打卡,喜欢排骨精的可以忽略了,5P性价比很高,不建议PP。 【报销…

❤1

25 Aug 2026, 16:00 UTC601 views1 reactionsread 28 August 2026
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【成都学院】 【花名】:#西西 【课费】:700P/50分钟 12PP/90分钟 #7/12 【车牌】:@xixi671 【位置】:#高升桥 【硬件】:妹妹25岁,匀称偏微胖类型。人照8分,照片有美颜,真人脸上有科技,苹果肌不是很自然,整体是好看的。黄白皮,肤质尚可,身高165左右,体重100斤左右,🐻C,有点下垂。下面毛量正常,外褐内粉,紧,湿。有几处小纹身,要抽烟。 【详情】:#八折报销 #7P #御姐 #三件套 #代聊 #颜值车 #武侯区 #浅吻 #大长腿 【提示】:这是一位颜值中上的御姐,代聊,态度可以,情绪价值一般,老师属于比较开朗的类型。口活可以,🈚🐍,只能浅吻。总而言之,这是一位有颜值有身材的御姐,7P的价位中规中矩,适合吃这一款类型的同学们打卡。 【报销】:成都学院,满足5学分,车库老师八折报销 【作业】:参考作业01 参考作业02 参考作业03 参考作业04 参考作业05 参考作业06…

❤1

24 Aug 2026, 16:00 UTC646 views1 reactionsread 27 August 2026
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【成都学院】 【花名】:#欣欣 【课费】:500P/50分钟 #5 【车牌】:@xX1622 【位置】:#中坝 【硬件】:妹妹19岁,排骨精类型。人照8分,照片有美颜,黄白皮,肤质一般,胸口和后背有小痘痘,身高168左右,体重80斤左右,🐻A,乳头较小,乳晕较小。下面毛量正常,外褐内粉,相当紧,湿度一般,有几处小纹身,右手手臂有大面积纹身,要抽烟。 【详情】:#八折报销 #5P #嫩妹 #三件套 #自聊 #颜值车 #青羊区 #舌吻 #大长腿 【提示】:这是一位颜值中上的妹子,自聊,排骨精类型。态度可以,情绪价值一般,老师属于i人,比较内向,属于能接话但是不太会找话题的类型。口活一般,略微有点齿感。有舌吻但不是大蟒蛇,还需要学习进步。总而言之,这是一位清纯类型的高挑排骨精,5P的性价比可以,确实刚下水啥都不懂,属于自助餐了,适合不太吃服务的同学们打卡,以上。 【报销】:成都学院,满足5学分,车库老师八…

❤1

23 Aug 2026, 16:00 UTC735 views4 reactionsread 27 August 2026
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【成都学院】 【花名】:#洛希 【课费】:700P/50分钟 1100PP/80分钟 #7/11 【车牌】:@Roshi_Water 【位置】:#川音 【硬件】:照片是本人精修照,人照8分以上,真人好看,网红御姐脸,相似妹妹20岁,身高164,体重82斤,胸b+,有科技,底座硬,上面柔软。排骨精,前凸后翘,皮肤不白,正常肤色,皮肤光滑,有被晒得痕迹,西安附近的人,普通话较好,蝴蝶穴,阴唇较长,非常紧,包裹感强烈。 【详情】:#八折报销 #锦江区 #7P #御姐 #三件套 #自聊 #蛇蛇精 #女友感 #感觉车 #69 #态度车 #颜值车 #排骨精 【提示】:科技选手,但是颜值很高,也很自然,有一张日常照片,比那个好看。情绪价值高,软硬件在7P的价格都十分可圈可点,穿搭也很时尚,有种网红的感觉。服务相对来说就是三件套舔胸加舌吻,没有太多花哨的项目,主要是吃硬件,总结就是高颜值排骨精网红御姐。 【报销】:成都学院,…

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22 Aug 2026, 16:00 UTC747 views1 reactionsread 26 August 2026
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【成都学院】 【花名】:#沫沫 【课费】:1000P/60分钟 1600PP/90分钟 #10/16 #报成都学院写报告减1 【车牌】:@gryjgff 【位置】:#东大路 【硬件】:贵州妹妹,人照9成相似,真人像刘浩存,比照片要好看,长相甜美御姐,妹妹22岁左右,身高162,80多斤的体重,皮肤光滑无纹身,真胸C+,很大,很挺,没有任何下垂,身材比例好,胸大腰细,腿也相对长很细,皮肤偏白,s型身材,前凸后翘,下面毛量比较少,进去很热,很润,比较浅,容易顶到头。 【详情】:#八折报销 #锦江区 #10P #9P #御姐 #三件套 #自聊 #蛇蛇精 #女友感 #感觉车 #69 #态度车 #颜值车 #包时 【提示】:情绪价值到位,颜值很高的甜美御姐一枚,硬伤则是身高没那么高挑,和妹妹沟通后报告-1,这个身材和颜值这个价格有得打,个人感觉声音没有那么软糯,妹妹说天生声音这样,而且有点咳嗽,同时不吸烟,这一点很好,针对…

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Showing the 12 most recent of 23 posts we hold for @chengduxueyuancheku. 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“成都学院车库” (@chengduxueyuancheku), 14,033 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/chengduxueyuancheku.

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.