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Channel

成都医科大学报告榜单

@chengduainila

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

16,314subscribers

+909 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-1002563010025
TypeChannel
Username@chengduainila
Description成都医科大学已验车库: https://t.me/shangpailaoshi 上牌或提交报告联系 : @lyihstzw 双向机器人: @Yike558_bot 商务合作可以联系上面的号
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/chengduainila

Growth

15,40516,31415,859.56 August 2026 — 15,405 subscribers7 August 2026 — 15,554 subscribers8 August 2026 — 15,597 subscribers8 August 2026 — 15,697 subscribers9 August 2026 — 15,819 subscribers10 August 2026 — 15,870 subscribers11 August 2026 — 15,917 subscribers12 August 2026 — 15,973 subscribers14 August 2026 — 16,195 subscribers15 August 2026 — 16,314 subscribers6 August 202615 August 2026
10 measurements spanning 9 days, net +909. 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 15,269–16,450 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 15:2816,314+119
14 Aug 2026, 05:3816,195+222
12 Aug 2026, 21:3815,973+56
11 Aug 2026, 22:1315,917+47
10 Aug 2026, 21:0415,870+51
9 Aug 2026, 23:3615,819+122
8 Aug 2026, 23:5115,697+100
8 Aug 2026, 00:1115,597+43
7 Aug 2026, 03:1115,554+149
6 Aug 2026, 20:1715,405first reading

Engagement

59 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.49%
avg views ÷ 16,314 subscribers
Avg views / post
242
58 posts measured
Reaction rate
0.438%
reactions ÷ views · ER floor
Posts in window
59
of 59 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 8 of 58 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 15 August 2026
Posts held59 (1 August 202615 August 2026)
Views total14,055
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 16:23 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
8
Links
768

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Reaction mix

9 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
888.9%
👍111.1%

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 8 of the 59 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 1 August 2026 to 15 August 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

15 Aug 2026, 10:02 UTC97 viewsread 15 August 2026

【验证留名】:笑容 【验证时间】:8月14 【妹子花名】:小七 【联系方式】:电报 【联系账号】:@Xiaoqi1257890 【所在位置】: 天府三街附近 【修车水费】: 5p 8pp 【身高身材】:身高160 体重96 【颜值相似】:本人 【凶器罩杯】:B➕ 【服务内容】: 口,69,水中箫, 【服务详情】:课表上写的都有 【机车行为】:无 【优点缺点】:态度热情, 【推荐程度】:【过程】:这个天气出来约课,真受不了,不过当我看见老师的时候,好像热那么一会真的值,妹妹属于小家碧玉那种,颜值还可以,身材很匀称,皮肤很好,看得出来老师在皮肤的花费应该不少,脱了衣服,一双大白兔暴漏在眼前,瞬间血脉喷张,摸着好舒服,老师说只有B,但是我浪了这么多年,我感觉应该有C,服务的话,洗澡的时候有水中箫,不过这个我不怎么喜欢,换到床上让老师口,然后69,二弟在老师的挑逗下,越来越受不了,随即带T开大,老师下面好紧啊,稍稍停顿一下,就开始了我

15 Aug 2026, 10:02 UTC78 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:朵朵 【验证留名】:匿名 【人照得分】: 9 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 9 【态度得分】: 9 【环境得分】: 8 【综合得分】: 8.5 【验证时间】:2026-08-15 【所在位置】:大源 【修车水费】:500 【是否代聊】:否 【身高体重】:160cm 90 【妹子年龄】:25 【服务内容】:跟课表一样 【优点缺点】:优点:皮肤白润,服务好,态度好,会聊天,情绪稳定,口技出众 缺点:老师不接受🐍吻 【过程描述】:{天气太过炎热,想出击了,就和老师确定了时间,晚上准时到达,指挥上楼,留门了,就去,看到老师颜值,人照基本一致,前前后后认真对待,帮忙擦干水,上床趴着,开始服务,过水,耳语,屁股撅起来,毒龙钻起来,老师手也没有停下来,躺下来海底捞月,舔蛋,吃蛋,老师果然是有点绝活哦,换到正面,亲咪咪,深喉继续各种花哨吹箫,深

15 Aug 2026, 10:01 UTC60 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:王语嫣 【验证留名】:曹丕偷走了我的经验 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.5 【验证时间】:2026-08-14 【所在位置】:#中港广场 【修车水费】:7p 12pp 【是否代聊】:自聊 【身高体重】:165 49kg 【妹子年龄】:28+ 【服务内容】:陪浴 水中萧 制服 AB漫游 kiss 舔耳 胸推 舔胸 无套口 舔蛋 舔胯 做 【优点缺点】:优点服务型御姐,戴眼镜气质诱人,身材匀称,无赘肉,双腿修长,下面较紧日感反馈好,缺点有时候切换北方口音有点反应不过来,肚子有点小褶皱,没有舌吻 【过程描述】:{老师引导上楼,身着连衣裙的美女出现在门后,交完水费,边聊边引导去陪浴,了解到是从宁波过来成都下水的,帮忙洗前后,中间老师蹲下有水中萧,擦干上床

15 Aug 2026, 10:01 UTC69 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:沈清梨 【验证留名】:夯 大力 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 8 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.83 【验证时间】:2026-08-14 【所在位置】:天府二街 【修车水费】:600/p 【是否代聊】:自聊 【身高体重】:165左右 90斤左右 【妹子年龄】:23 【服务内容】:大蟒蛇 69 爱爱 【优点缺点】:优点:身体真的不错,爱爱反馈真实,女友感极强,情绪价值比较高。缺点:服务相当来说不是很多,也能接受。 【过程描述】:{跟老师约好时间指挥上楼,见到本人颜值真的高,身材也是相当不错,一眼看中那翘臀。老师也是礼貌问好,还关心这么热的天过来上课热不热,闲聊了一会儿就去洗澡了。来到床上就开始舌,边舌边摸老师大奶子,前戏比较足情绪价值到位,跟日女朋友没什么差别,舌吻真的爽。69无异

14 Aug 2026, 11:06 UTC188 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:果果 【验证留名】:蜜雪冰城🥰 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 8 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.33 【验证时间】:2026-08-14 【所在位置】:#天府三街 【修车水费】:#6P #10PP 【是否代聊】:代聊 【身高体重】:身高160,体重42kg,颜值清纯,身材娇小可爱,皮肤嫩滑,没有纹身 【妹子年龄】:18 【服务内容】:陪洗,调情,舌吻,口活,爱爱 【优点缺点】:优点:嫩妹颜值清纯,身材娇小可爱,超可以舌吻,调情也非常听话,下面紧致润滑,包裹感强,昆感很棒,爱爱配合度也很高,缺点:主动一点更完美 【过程描述】:{硬件:妹妹18岁,身高160,体重42kg,颜值清纯,身材娇小可爱,像邻家妹妹,皮肤光滑,没有纹身,奶子B,奶头内陷,黄豆粒大小,手感非常嫩,下面包子型,

14 Aug 2026, 11:06 UTC158 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:小溪 【验证留名】:中二少年小火龙 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 10 【态度得分】: 9 【环境得分】: 8 【综合得分】: 8.5 【验证时间】:2026-08-08 【所在位置】:天府五街 【修车水费】:5/8 【是否代聊】:自聊 【身高体重】:身高162. 体重52公斤 【妹子年龄】:26 【服务内容】:妹妹服务内容很多,有鸳鸯浴,水中萧,波推,阴推,毒龙,口交,爱爱,会所出来,服务特别巴适。 【优点缺点】:优点是服务项目多,mi咪形态很好,鸳鸯浴很有特色 【过程描述】:{来到妹妹位置,房间很干净。寒暄几句开始一起洗浴,妹妹在自己身上抹上沐浴液后用那对大奶上午给我按摩,那丝滑,简直不摆了,感觉立刻来了。上床后,妹妹首先是漫游,指划,然后是在身上抹上润滑油,用身体和mi咪全身按摩,同时用温水淋在我的身上

13 Aug 2026, 19:39 UTC205 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:珍珠 【验证留名】:cggc 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 10 【态度得分】: 10 【环境得分】: 9 【综合得分】: 9.33 【验证时间】:2026-08-14 【所在位置】:大源 【修车水费】:23 【是否代聊】:自聊 【身高体重】:160 【妹子年龄】:25 【服务内容】:课表所示 【优点缺点】:服务好 【过程描述】:{还没到成都看到老师,提前两天就找了老师约课,飞机到站时间比较晚,老师还特别细心的帮忙算了过去的时间,时间太紧了,本来都想放弃了,但是看到老师颜值服务态度三“一流”,犹豫再三实在是心痒难耐,还是约了夜课,真的是庆幸自己没有放弃,哈哈哈哈哈哈哈。 位置好找,到了地方给老师拍照确认无误,老师还专门叮嘱脚步放轻,非常细心。 见了老师,发现确实是颜值身材都是一流啊,然后一套流程下来,相当细致

13 Aug 2026, 15:47 UTC204 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:茉莉 【验证留名】:明(不赌为赢) 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 7 【态度得分】: 8 【环境得分】: 9 【综合得分】: 8.5 【验证时间】:2026-08-11 【所在位置】:东郊记忆 【修车水费】:工兵 【是否代聊】:代聊 【身高体重】:163 90斤 【妹子年龄】:19 【服务内容】:洗吹做 69 大蟒蛇 【优点缺点】:优点:很嫩,身材好,态度好 缺点:不耐日 【过程描述】:{位置很好找,东郊记忆出来没多远,老师年龄19岁,163,90斤,无纹身,皮肤手感嫩滑,肤色白皙,人照9分;颜值不错,胸为天然b,白嫩好rua,下面户型为小蝴蝶,颜色外褐内粉,周围毛量较多,服务有点少不过也正常,三件套,69,大蟒蛇,陪洗,就是不太耐日} 成都医科大学:https://t.me/chengdu338

13 Aug 2026, 14:09 UTC268 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:梦可儿 【验证留名】:eS y 【人照得分】: 9 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.67 【验证时间】:2026-08-13 【所在位置】:石羊场 【修车水费】:600P/1000PP 【是否代聊】:否 【身高体重】:身高170左右,体重约55公斤 【妹子年龄】:28左右 【服务内容】:菜单上有的都有 【优点缺点】:服务好,技术高,热情似火,风骚妩媚,胸大,日感好 【过程描述】:{老师摇控上楼,无需敲门老师已留门,进门见到老师,长相和照片8.5分相似,一对大胸乎之欲出,身材高挑,皮肤白皙,老师属于那种圆润型身材,有肉感不油腻,和老师聊了一会,老师就摸我小兄弟,我也摸了几把大E胸,不错,是个骚货,我喜欢,交费洗澡,老师洗的很仔细,水中萧口技很好,出浴擦干身体上床做服务,

12 Aug 2026, 15:19 UTC281 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:安琪 【验证留名】:eS y 【人照得分】: 9 【颜值得分】: 8 【身材得分】: 9 【服务得分】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.83 【验证时间】:2026-08-11 【所在位置】:南站附近 【修车水费】:800P/1000PP 【是否代聊】:否 【身高体重】:身高164左右,体重约53左右 【妹子年龄】:27 【服务内容】:陪洗,水中萧,AB面,69,胸推,无T口,漫游,毒龙,啪啪 【优点缺点】:优点人美身体好,温柔热情,服务细心技术好,口活很棒,爱爱时风骚妩媚,女友感强。缺点无 【过程描述】:{按时到达目的地,老师指引上楼,进门见到一个身高约165,体重大概53公斤左右的妹子,身材匀称,胸部饱满约C杯,五官不算惊艳,但也算个美人,走在街上有回头率的那种,皮肤白,脸上带着微笑,很亲还的感觉,老师很热情,给我拿

12 Aug 2026, 10:11 UTC259 views1 reactionsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:Mikey 【验证留名】:可乐(垮王集团) 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 8 【服务得分】: 7 【态度得分】: 9 【环境得分】: 8 【综合得分】: 8 【验证时间】:2026-08-12 【所在位置】:东郊记忆 【修车水费】:6 【是否代聊】:代聊 【身高体重】:158 95 【妹子年龄】:26左右 【服务内容】:三件套 【优点缺点】:交流全靠猜 简单英语 【过程描述】:{和代聊约好时间 刚好换房间 等了10多分钟,代聊态度好,见到老师,老师门后迎接 ,身高158,年龄28左右吧,体重95,人照分8,老师身材不错 没有赘肉,,腿、胸c褐色、屁股又大又圆,服务态度很好 不过服务较少,陪洗很仔细,上床舔了吹,让后就带套开干,下面紧度正常,毛不多,泰妹交流全靠意会和简单英语,走时老师毕恭毕敬站着等穿好衣服送你 推荐打卡}

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12 Aug 2026, 10:01 UTC218 viewsread 15 August 2026

成都医科大学修车群专属报告 【妹子花名】:丽娜 【验证留名】:反方向 的钟 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 9 【态度得分】: 10 【环境得分】: 9 【综合得分】: 9.17 【验证时间】:2026-08-10 【所在位置】:李家沱 【修车水费】:600 【是否代聊】:是 【身高体重】:160 100 【妹子年龄】:22 【服务内容】:舌吻 无套口 鸳鸯浴 胸推 激情爱爱 69 【优点缺点】:胸很大 很软 服务很到位 人骚叫声骚 【过程描述】:{进门老师热情招待,先进浴室洗洗,洗的很细致,还用大胸来蹭,然后就是水中潇,紧接着上床开始做服务,ab面,还能69,舔批那些 用大奶蹭的巨舒服巴适,大奈奈洗面奶,两坨大奈奈在面前甩起很震撼,然后戴套出击,当天有点不在状态,但是妹妹很会,激情🐍🐍,叫还很骚,感觉好像在拍AV,在一声声呻吟中稳定出货。}

Showing the 12 most recent of 59 posts we hold for @chengduainila. 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.

Citation-graph rank

Citation-graph rank — 665,809 of 1,480,944entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 2 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“成都医科大学报告榜单” (@chengduainila), 16,314 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/chengduainila.

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.