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Channel

成都医科大学上牌车库

@shangpailaoshi

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

30,725subscribers

+6,299 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002860580449
TypeChannel
Username@shangpailaoshi
Description成都医科大学修车群: https://t.me/chengdu338 验证老师不等于百分百真人,若发现货不对板务必转身并联系管理 上牌:商务合作或提交报告联系 : @lyihstzw 双向机器人 @Yike55688_bot
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/shangpailaoshi

Topic

Other / unclassifiable — 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 69% 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

24,42630,72527,575.56 August 2026 — 24,426 subscribers7 August 2026 — 24,601 subscribers8 August 2026 — 24,722 subscribers9 August 2026 — 24,823 subscribers10 August 2026 — 24,913 subscribers11 August 2026 — 24,999 subscribers12 August 2026 — 25,085 subscribers13 August 2026 — 25,192 subscribers14 August 2026 — 25,395 subscribers16 August 2026 — 25,578 subscribers17 August 2026 — 25,693 subscribers18 August 2026 — 25,756 subscribers19 August 2026 — 25,805 subscribers20 August 2026 — 25,873 subscribers22 August 2026 — 25,963 subscribers23 August 2026 — 26,048 subscribers25 August 2026 — 26,142 subscribers26 August 2026 — 26,239 subscribers27 August 2026 — 26,350 subscribers28 August 2026 — 26,376 subscribers28 August 2026 — 26,470 subscribers29 August 2026 — 26,550 subscribers30 August 2026 — 26,787 subscribers31 August 2026 — 26,907 subscribers1 September 2026 — 26,937 subscribers2 September 2026 — 27,038 subscribers4 September 2026 — 27,205 subscribers7 September 2026 — 27,292 subscribers10 September 2026 — 27,671 subscribers12 September 2026 — 27,974 subscribers14 September 2026 — 28,134 subscribers15 September 2026 — 28,376 subscribers17 September 2026 — 28,834 subscribers27 September 2026 — 30,725 subscribers6 August 202627 September 2026
34 measurements spanning 52 days, net +6,299. 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 23,481–31,670 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
27 Sept 2026, 23:5930,725+1,891
17 Sept 2026, 21:0128,834+458
15 Sept 2026, 20:1728,376+242
14 Sept 2026, 05:2028,134+160
12 Sept 2026, 13:3727,974+303
10 Sept 2026, 09:4027,671+379
7 Sept 2026, 05:3627,292+87
4 Sept 2026, 08:5727,205+167
2 Sept 2026, 18:1827,038+101
1 Sept 2026, 18:1826,937+30
31 Aug 2026, 20:5326,907+120
30 Aug 2026, 20:4426,787+237
29 Aug 2026, 21:3826,550+80
28 Aug 2026, 23:2526,470+94
28 Aug 2026, 01:5326,376+26
27 Aug 2026, 05:1326,350+111
26 Aug 2026, 05:1326,239+97
25 Aug 2026, 01:3826,142+94
23 Aug 2026, 17:1526,048+85
22 Aug 2026, 02:3825,963first reading

Engagement

110 posts held, back to 4 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.63%
avg views ÷ 30,725 subscribers
Avg views / post
809
37 posts measured
Reaction rate
0.202%
reactions ÷ views · ER floor
Posts in window
37
of 110 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 25 of 37 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 29 September 2026
Posts held110 (4 August 2026 – 29 September 2026)
Views total29,934
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 08:45 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
≈3,510
Videos
≈204
Links
≈671

Lifetime counters from Telegram’s own channel header, read 30 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
2m 17s
Average length
10s

Measured directly from 14 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

91 reactions across 51 posts, in 3 distinct kinds. The most used accounts for 94.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8694.5%
👍44.40%
😁11.10%

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 61 of the 110 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 110 most recent posts we hold, published 4 August 2026 to 29 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

29 Sept 2026, 13:24 UTC595 views1 reactionsread 30 September 2026
Photo

📊 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 【成都医科大学认证车库】 花名: #露娜 车牌: @Nul1573 车费: #7/12 位置: #建设路 标签: #成华区 #嫩妹 #自聊 #态度车 #身材车 注:露娜,22岁左右 身高170 体重100斤 皮肤细腻光滑,淡妆。不催钟,情绪价值给足,很健谈,胸b,乳头粉嫩捏着很有感觉,。屁股大,腰细。特色是口和深喉,女上,后入小bb超级紧实,。会高潮叫床,完全配合各种姿势,年轻妹妹,态度超级好! 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike55688_bot 注:好评报告五篇上已验红牌榜差评过多下榜…

❤1

29 Sept 2026, 07:24 UTC785 views1 reactionsread 30 September 2026
Photo

📊 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 【成都医科大学认证车库】 花名: #小锦儿 车牌: @xjer123 车费: #7/12 位置: #驷马桥 标签: #成华区 #御姐 #代聊 #颜值车 #匈奴 注: 158-90左右,23岁,频道照片8分相似。真人五官颜值也挺高,身材正常微微胖,态度很好,声音好听,很会聊天,情绪价值挺高,皮肤颜色正常,摸着舒适,胸E,奶子很大,乳头颜色小褐,特别敏感,有小乳晕,手感很好,小穴蝴蝶,毛量较少,松紧正常舒适。包裹性好,大蟒蛇,还能乳交。很有礼貌。爱爱反应极佳,视觉冲击很好,能高潮。 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @…

❤1

28 Sept 2026, 02:57 UTC≈1,010 views4 reactionsread 30 September 2026
Photo

📊 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 【成都医科大学认证车库】 花名: #软软 车牌: @Yxcdmufe 车费: #6/10 位置: #心岛 标签: #武侯区 #嫩妹 #代聊 #女友感 #身材车 注: 19岁妹妹,刚下海第一次干这个, 我问了一下说今天才下水,实测172身高55kg体重,B胸乳头小粉嫩,颜值和照片一致,8.5分,有一点小肚子,头发很长卷发,大长腿配上黑色丝袜,开的酒店是。服务就嫩妹三件套缺了一点点,但是比较听指挥,提的要求基本上都做,大骨架日不到底。 活动:报告-1 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike55688_bot 注:好评报告五篇上已…

❤4

27 Sept 2026, 16:38 UTC≈1,030 views3 reactionsread 30 September 2026
Photo

#成都上门 #成都全套 #成都半套 ✨基础信息 【妹子花名】:白小醇 【联系kiss】: @kiss666 【验证留名】:Pop 【验证时间】:9.20 🌟硬件评价 【妹子年龄】:19 💫综合评价 【优点缺点】:3点粉 可以K爆 态度超级好,会聊天,挺热情的。皮肤很滑 【性价比】:满分10.0分/9.5 【推荐程度】满分10.0分/9.5 ⭐️【个人发挥】:好久没来成都了来了就是想干点这些事情, Kiss推荐的 这妹子的声音挺温柔的,反正床上各种的配合很反常 下面粉嘟嘟的还是白🐯 颜值8-9分,内在非常有内容一个非常不错的小妹妹,特别反差把她按窗边还会叫爸爸🌿我。水也特别多很舒服 🔴🔴🔴 进 成 都 每 日 更 新🔴🔴🔴

❤3

27 Sept 2026, 11:44 UTC807 views1 reactionsread 29 September 2026
Photo

📊 1条车评,综合分 8.0 好评 100% | 人照 8.0 | 服务 8.0 中评 0% | 颜值 8.0 | 态度 8.0 差评 0% | 身材 8.0 | 环境 8.0 👆 【点击查看评价】 【成都医科大学认证车库】 花名: #晓君 车牌: @cdxjun3 车费: #5/8 位置: #东郊记忆 标签: #成华区 #少妇 #自聊 #态度车 #服务车 注: 老师身高160,年龄25,体重95斤,人照8分,胸c,屁股比较大,身上一点赘肉,蝴蝶型,颜色正常,比较紧,毛量较少,无异味。老师态度很好,主动帮洗,服务有口、蛇、胸推、舔胸,日感不错,胸很软,无机车行为。总的来说喜欢异域风情的可以冲,这个身材和价格性价比非常高。 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike55688_bot …

❤1

27 Sept 2026, 07:16 UTC974 views1 reactionsread 28 September 2026
Photo

📊 1条车评,综合分 9.0 好评 100% | 人照 8.0 | 服务 10.0 中评 0% | 颜值 8.0 | 态度 10.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【成都医科大学认证车库】 花名: #心心 车牌: @wen131120 车费: #6/10 位置: #武侯区 标签: #少妇车 #服务车 #感觉车 #代聊 #武侯区 注:162-90左右,27岁,频道照片8.5分相似。真人颜值不错,身材正常,匀称。奶子B,乳头小,颜色小褐,小乳晕,手感不错。屁股大,小穴蝴蝶。内粉,毛较多,水刚开始少,后续gc后很多。无纹身。软件,态度很好,能聊天,以礼相待。有制服。AB面都做,有毒龙,水中箫,该有会所服务都有,爱爱主动,易高潮,情绪价值不错。适合喜欢服务车,感觉车的狼友 体验报告汇总 :@chengduainila 上…

❤1

26 Sept 2026, 12:32 UTC717 viewsread 27 September 2026
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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_7593294667

26 Sept 2026, 12:32 UTC710 viewsread 27 September 2026

东门建设路 / 南门天府二街 / 北门驷马桥 备注:公寓式酒店,私密性高,无定金,无套路 满意在付💰,不办卡,不充值。 预约联系: @cd02888 与你随时在线:cd095098 双向客服: @kf00001bot 两分钟没回致电:18144340869 频道 https://t.me/chengdubantao398

26 Sept 2026, 07:32 UTC592 views3 reactionsread 27 September 2026
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📊 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 【成都医科大学认证车库】 花名: #妖娆大G 车牌: @yy689xx689 车费: #7/11 位置: #西单商场 标签: #青羊区 #少妇 #自聊 #态度车 #感觉车 #服务车 #水床 #毒龙 #抓龙筋 #理疗按摩 #SM 注: 老师身高170左右 体重120皮肤白,胸有D+ 人照8分像,服务是正宗的莞式一条龙服务,毒龙整了10几分钟,搞得我不要不要的,先是给我慢慢的按摩疏通筋骨,我就一句话来形容吧,喜欢主动热情服务的,骚的,你们放心去找,我差点就死在逼里了🙈🙈,这个价格花得非常的直🤝🤝🤝🤝 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向…

❤3

25 Sept 2026, 10:31 UTC831 viewsread 27 September 2026
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📊 1条车评,综合分 8.2 好评 100% | 人照 8.0 | 服务 9.0 中评 0% | 颜值 7.0 | 态度 9.0 差评 0% | 身材 8.0 | 环境 8.0 👆 【点击查看评价】 【成都医科大学认证车库】 花名: #贝贝 车牌: @dmbb520 车费: #4/6 位置: #理工大学 标签: #成华区 #少妇 #自聊 #态度车 #服务车 注: 老师身高165,年龄30,体重55kg,人照7.5分,胸c+,屁股比较大,身上有一点赘肉,户型蝴蝶,颜色正常,比较紧,毛量正常,无异味。老师态度非常好,主动帮洗,菜单上的服务都有,莞式服务大全套,无机车行为。总的来说喜欢莞式服务的可以冲,这个价格非常有性价比。 体验报告汇总 :@chengduainila 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike55688_bot …

25 Sept 2026, 06:05 UTC845 views3 reactionsread 27 September 2026
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📊 1条车评,综合分 8.5 好评 100% | 人照 8.0 | 服务 8.0 中评 0% | 颜值 8.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【成都医科大学认证车库】 花名: #含笑 车牌: @sxss778 车费: #7/12 位置: #武侯区 标签: #自聊 #态度车 #少御车 #颜值车 #磨子桥 #7p 注: 妹子年龄23左右,人照相似8.7,去掉磨皮美白就是本人,身高168,体重99,全妆少御,颜值好看,身材匀称大长腿,皮肤偏白手感光滑细腻,一对酥胸C粉褐色,下面外褐内粉色小蝴蝶,又紧又润,包裹感良好,服务态度热情,陪洗很仔细,水中萧销魂,服务课表都有不敷衍,爱爱反馈良好各种姿势随意切换,口技不错舌头会打转,女上有力气,爱爱反馈真实自然,后入大长腿感官拉满,喜欢长腿颜值少御的小伙伴可以体验。 体…

❤3

24 Sept 2026, 18:51 UTC878 views1 reactionsread 27 September 2026
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成都百花会锁半套菜单介绍 项目 预约价 时间 B 460 70分钟 【经典流程留底半裸】 【mm伺候沐浴】【床边服务】【经络按摩】【指滑】【过水】【漫游】【胸莎】【口痧】【胸tui】【360度大旋转】【调情】【添蛋】【十指弹琴】【毒龙】【吹箫九式】 【不带套零距离接触直接射嘴里】 【口一次,手一次】丝袜+20 【服务流程饱满,70分钟绝对做满】 项目 预约价 时间 A 620 90分钟 【服务流程全裸不留底】 【mm伺候沐浴】【床边服务】【经络按摩】【制服】【情趣】【过水】【漫游】【胸莎】【口痧】【胸推】【调情】【添蛋】【十指弹琴】【猛虎下山】【毒龙】【360度大旋转】【吹箫九式】【阴推】 【不带套零距离口直接射嘴里】 (口两次,丝袜免费) 【服务流程饱满,90分钟绝对做满】 〖高端大型会锁,mm选满意再耍,每天40多个在线,…

❤1

Showing the 12 most recent of 110 posts we hold for @shangpailaoshi. 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.

Posts edited after publishing

@shangpailaoshi 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.

First edit seen
8 August 2026
Most recent edit
24 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Mentions

Named by 6 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“成都医科大学上牌车库” (@shangpailaoshi), 30,725 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/shangpailaoshi.

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.