成都医科大学修车群专属报告 【妹子花名】:徐冬冬 【妹子车牌】:@yezi030305 【验证留名】:匿名 【人照得分】: 8 【颜值得分】: 8 【身材得分】: 8.5 【服务得分】: 10 【态度得分】: 9.5 【环境得分】: 9 【综合得分】: 8.83 【验证时间】:2026-11-08 【所在位置】:衣冠庙 【修车水费】:6p 【是否代聊】:自聊 【身高体重】:162 50多kg 【妹子年龄】:28 【服务内容】:陪洗,水中萧,胸推胸莎,海底捞月,毒龙,裸口,按摩 【优点缺点】:优点:胸大38D 服务项目多时间长 态度好 缺点:有点赘肉 【过程描述】:{今天起来就很躁动,群里有见到徐冬冬老师很吸引人,于是马上约课。到点提前到达,见到老师本人,跟照片很像啊。热情寒暄了一下就开始洗浴,老师的水中萧非常到位,吸得我不自主地往后缩,特别爽。擦干后本来说按摩的,但我白天按过了直接快进到胸推。老…

Channel
成都医科大学报告榜单
@chengduainila
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
33,589subscribers
+18,184 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 | -1002563010025 |
|---|---|
| Type | Channel |
| Username | @chengduainila |
| Description | 成都医科大学已验车库: https://t.me/shangpailaoshi 上牌:商务合作或提交报告联系 : @lyihstzw 双向机器人 @Yike55688_bot |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/chengduainila |
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 53% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 05:18 | 33,589 | +229 |
| 6 Nov 2026, 22:25 | 33,360 | +222 |
| 6 Nov 2026, 00:10 | 33,138 | +449 |
| 4 Nov 2026, 21:39 | 32,689 | +668 |
| 3 Nov 2026, 18:47 | 32,021 | +98 |
| 2 Nov 2026, 21:09 | 31,923 | +354 |
| 1 Nov 2026, 22:25 | 31,569 | +392 |
| 1 Nov 2026, 01:27 | 31,177 | +285 |
| 30 Oct 2026, 22:48 | 30,892 | +358 |
| 30 Oct 2026, 00:09 | 30,534 | +443 |
| 29 Oct 2026, 00:55 | 30,091 | +538 |
| 27 Oct 2026, 22:10 | 29,553 | +560 |
| 26 Oct 2026, 18:58 | 28,993 | +68 |
| 25 Oct 2026, 21:26 | 28,925 | +377 |
| 24 Oct 2026, 21:17 | 28,548 | +353 |
| 23 Oct 2026, 21:56 | 28,195 | +426 |
| 22 Oct 2026, 19:21 | 27,769 | +509 |
| 21 Oct 2026, 17:57 | 27,260 | +209 |
| 20 Oct 2026, 11:34 | 27,051 | +321 |
| 19 Oct 2026, 12:28 | 26,730 | first reading |
Engagement
214 posts held, back to 1 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 119 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.09%
- avg views ÷ 33,589 subscribers
- Avg views / post
- 368
- 78 posts measured
- Reaction rate
- 0.226%
- reactions ÷ views · ER floor
- Posts in window
- 78
- of 214 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 20 of 78 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 214 (1 August 2026 – 8 November 2026) |
| Views total | 28,678 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 10:58 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
- 969
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. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
47 reactions across 42 posts, in 3 distinct kinds. The most used accounts for 91.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 43 | 91.5% | |
| 👍 | 3 | 6.38% | |
| 👏 | 1 | 2.13% |
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 51 of the 214 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 214 most recent posts we hold, published 1 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 78 posts held from the last 30 days (1.28%) 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).
成都医科大学修车群专属报告 【妹子花名】:花花 【妹子车牌】:@cdzlj6 【验证留名】:💋情圣® 【人照得分】: 8.5 【颜值得分】: 8.5 【身材得分】: 8.5 【服务得分】: 9.5 【态度得分】: 9.5 【环境得分】: 9.5 【综合得分】: 9 【验证时间】:2026-11-08 【所在位置】:新中泰大厦 【修车水费】:698.00 【是否代聊】:代聊 【身高体重】:165/110 【妹子年龄】:27 【服务内容】:内容多,见菜单 【优点缺点】:老师特温柔,皮肤白皙光滑细腻,手法很好,技术精湛,释放特舒服,态度超级好,情绪价值高。 【过程描述】:{老师就大成都郊区本地人,交流通畅,99年御姐少妇型,目测165/110左右,身材丰满不坦,皮肤白皙光滑细腻,进屋后沙发入座递拖鞋,递矿泉水,放好水自助洗漱(无陪洗),出浴后搽背搽脚,选皮肤和丝袜,上床后先套上红外线保健设备按摩麻舒舒…
👍1
成都医科大学修车群专属报告 【妹子花名】:木子 【妹子车牌】:@muzimm1 【验证留名】:厘 lz 【人照得分】: 8.5 【颜值得分】: 8.5 【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】:2026-11-07 【所在位置】:索尔龙舟 【修车水费】:8p 13pp 【是否代聊】:自聊 【身高体重】:身高165左右,体重90多斤,很匀称 【妹子年龄】:二十七八岁,御姐 【服务内容】:陪洗,帮洗,按摩,亲脖子,亲咪咪,漫游,舔蛋蛋,口,大蟒蛇 【优点缺点】:老师的优点:会聊天,态度很热情,身材挺好,前凸后翘,肤色很白,全身都很白,服务也挺多的。 缺点要是嫩妹就好了,年纪稍微大了点 【过程描述】:{提前和老师约好时间,准时到达,老师是自聊,聊天过程就感觉人比较好相处。 位置很好找,开车地铁都比较方便。提前让老师留了门,就…
成都医科大学修车群专属报告 【妹子花名】:秋秋 【妹子车牌】:@QQ1161 【验证留名】:匿名 【人照得分】: 9 【颜值得分】: 8.5 【身材得分】: 8.5 【服务得分】: 9 【态度得分】: 9 【环境得分】: 8.5 【综合得分】: 8.75 【验证时间】:2026-11-05 【所在位置】:武侯大道 【修车水费】:5p8pp 【是否代聊】:否 【身高体重】:身高160 体重55kg 【妹子年龄】:27左右 【服务内容】:鸳鸯浴 大蟒蛇 祼口 69 舔胸 舔蛋 【优点缺点】:性格温柔 声音好听 情绪价值拉🈵️ 女友感 情商高 【过程描述】:{前面约老师一直没约上、正好今天有时间、看老师在开课、立即就给老师发了一个消息过去、老师也是秒回我、然后提前一个小时约好时间、不急不忙的收拾出门准时到达老师发的定位、遥控上楼、开门第一眼看见老师、就感觉像邻家妹妹一样的感觉、老师属于bbw类型、…
成都医科大学修车群专属报告 【妹子花名】:舒月 【妹子车牌】:@shuyue09 【验证留名】:💋情圣® 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9.5 【服务得分】: 9 【态度得分】: 9.5 【环境得分】: 9.5 【综合得分】: 9.25 【验证时间】:2026-09-27 【所在位置】:红牌楼 【修车水费】:500p 【是否代聊】:双聊 【身高体重】:168/88 【妹子年龄】:23 【服务内容】:骑乘式拥抱➕🐍吻➕陪洗AB面➕跪式水中萧➕深喉➕舔咪舔蛋➕跪式深喉口➕69➕大蟒🐍。 【优点缺点】:身材苗条,大长腿,皮肤白皙光滑细腻,敏感水多,很紧,毛毛稀少,小逼逼里外粉,69无异味,水中萧深喉,跪式口,服务很好,爱爱投入姿势随便换,女友感很强,情绪价值很高,500p性价比也很高。 缺点:良家嫩御淡妆(我喜欢),加之脸儿的皮肤保养不是很好,又没浓妆显得不是很嫩。 …
成都医科大学修车群专属报告 【妹子花名】:白微微 【妹子车牌】:@baiweiwe 【验证留名】:Lincolnbrook 【人照得分】: 7 【颜值得分】: 8 【身材得分】: 8.5 【服务得分】: 9 【态度得分】: 9 【环境得分】: 8.5 【综合得分】: 8.33 【验证时间】:2026-11-05 【所在位置】:武侯玉林路 【修车水费】:5 【是否代聊】:否 【身高体重】:160高 90斤 【妹子年龄】:26 【服务内容】:陪洗 口 胸推 69 【优点缺点】:态度好,技术好,口技好 【过程描述】:{提前约了老师,遥控指挥上楼,小区挺安全。进门看到老师一身红色连衣裙,有一些好感。老师很热情,不冷场,主动聊天,陪洗擦身子都很仔细,转战床上,胸推,口,手齐上阵,让状态不好的我有了感觉,不得不说技术还是挺不错的,本想展示自己180匹马力旋风小舌头,但是老师的毛发旺盛,有丢丢异味,忍住了,让…
成都医科大学修车群专属报告 【妹子花名】:小七 【妹子车牌】:@xiaoqi200803 【验证留名】:💋情圣® 【人照得分】: 9 【颜值得分】: 9.5 【身材得分】: 9 【服务得分】: 9 【态度得分】: 9.5 【环境得分】: 9.5 【综合得分】: 9.25 【验证时间】:2026-11-05 【所在位置】:动物园 【修车水费】:600p 【是否代聊】:代聊 【身高体重】:172/100 【妹子年龄】:18 【服务内容】:洗吹做➕水中萧➕大蟒🐍➕跪式口➕深喉➕舔咪舔蛋➕🐻推➕毒🐉➕69。 【优点缺点】:优点:高颜值嫩妹还有毒🐉,🐻大手感好,身材高大,大长腿,前凸后翘,胸部很白,态度好,情绪价值高。 缺点就是有点小烟味,纹身。 【过程描述】:{老师留门直接进屋,沙发入座递拖鞋,目测18岁,172/100,身材高大,主动脱衣服,🐻C+,前凸后翘大长腿,皮肤光滑,前后都有纹身,胸部很白,沙…
成都医科大学修车群专属报告 【妹子花名】:Miko 【妹子车牌】:@cdMiko 【验证留名】:李 亦蜂 【人照得分】: 9 【颜值得分】: 6 【身材得分】: 8 【服务得分】: 6 【态度得分】: 5 【环境得分】: 6 【综合得分】: 6.67 【验证时间】:2026-11-05 【所在位置】:东郊记忆 【修车水费】:500p 【是否代聊】:代聊 【身高体重】:160,90斤左右 【妹子年龄】:24左右 【服务内容】:陪洗,口 【优点缺点】:优点:菜单跟本人高度一致只有些许美白,身材好! 缺点:假胸,外国人沟通困难 【过程描述】:{跟代哥约好时间进门,老师跟菜单高度相似,有浓烈的香水味,一眼泰国人,微笑的时候是钢牙,应该是箍了牙齿,身材看起来很不错,遂交了水费,一起洗漱,老师会有简单陪洗,洗澡的时候发现老师满背的纹身,脚也比较大,可能泰国人就这样! 洗漱完毕来到床边,老师开始服务,舔胸后开…
成都医科大学修车群专属报告 【妹子花名】:贝贝 【妹子车牌】:@BB3819 【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】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 8.5 【验证时间】:2026-11-04 【所在位置】:#天府三街 【修车水费】:#7p #12pp 【是否代聊】:#代聊 【身高体重】:身高165,体重52kg,身材很棒,一点都不胖,非常嫩有一点点婴儿肥,肤色白,身上摸起来很舒服,腿上有纹身 【妹子年龄】:19 【服务内容】:舌吻,调情,陪洗,口活,爱爱 【优点缺点】:优点:嫩妹,人比照片好看太多,身材很棒,奶子超级大,手感非常嫩,态度也是无可挑剔,舌吻调情都配合的很好,昆感也很棒,缺点:再主动一点更完美 【过程描述】:{妹妹19岁,身高165,体重52kg,人比照片好看太多,身材非常棒,一点点婴儿肥非常…
成都医科大学修车群专属报告 【妹子花名】:菲莉娅 【妹子车牌】:@fly3678 【验证留名】:ulog4j uj2ee 【人照得分】: 8 【颜值得分】: 8.5 【身材得分】: 8 【服务得分】: 10 【态度得分】: 10 【环境得分】: 10 【综合得分】: 9.08 【验证时间】:2026-11-03 【所在位置】:#天府五街 【修车水费】:7p 12pp 【是否代聊】:代聊 【身高体重】:老师身高165,体重49kg,人照不太一致,真人是在校女大的颜,更清纯一点,夹子音酥酥麻麻。皮肤正常黄皮,背部有痘痘,除手臂外比较光滑,仅肩部有小符文,手胸腿部有速胖/速瘦留下的生长纹 【妹子年龄】:19~20岁 【服务内容】:陪洗,舌吻,无套口,深喉,舔蛋,69,各种姿势爱爱 【优点缺点】:硬件来说700价位不够硬,生长纹会是劝退点,但软件很到位,各项服务不敷衍很有氛围,情绪价值足,眼神勾人还会咬嘴唇…
成都医科大学修车群专属报告 【妹子花名】:小七 【妹子车牌】:@xiaoqi200803 【验证留名】:冬瓜 【人照得分】: 8.5 【颜值得分】: 8.5 【身材得分】: 9 【服务得分】: 9 【态度得分】: 8 【环境得分】: 9 【综合得分】: 8.67 【验证时间】:2026-11-03 【所在位置】:动物园 【修车水费】:6 【是否代聊】:是 【身高体重】:172 105 【妹子年龄】:19 【服务内容】:舌吻 69 毒龙 【优点缺点】:嫩妹奶子大 缺点抽烟 【过程描述】:{妹妹躲在门后,看了颜值还不错,身高170以上交了车费和妹妹舌吻,妹妹脱了衣服奶子真大粉嫩,洗了澡出来有个试衣镜叫妹妹对着镜子口,上床69 妹妹下面水多没有异味舒服的很,妹妹有点烟味纹身多,但是嫩舌吻,主要是还有毒龙,妹妹很听话,会配合,6米不错的} 成都医科大学:https://t.me/chengdu…
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成都医科大学修车群专属报告 【妹子花名】:安琪 【妹子车牌】:@anqi2026 【验证留名】:君子 兰 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 9.5 【态度得分】: 9.5 【环境得分】: 9 【综合得分】: 9.17 【验证时间】:2026-11-02 【所在位置】:南站附近 【修车水费】:600P/1000PP 【是否代聊】:否 【身高体重】:身高大概在165左右,体重约54公斤左右,皮肤白,光滑无褶皱,紧致不松弛 【妹子年龄】:27左右 【服务内容】:陪洗,水中箫,AB面,kiss,舌吻,69,漫游,胸推,无套口,按摩,毒龙,制服诱惑,丝袜高跟,啪啪。 【优点缺点】:优点;颜值高,身材好,服务顶配,态度热情,够骚够浪够劲,昆感好,P紧水多,BB会缩 【过程描述】:{老师本人比照片更有韵味,颜值中等偏上,身高大概165左右,体重在107左右,整体的身材…
Showing the 12 most recent of 214 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.
Posts recorded as deleted after publishing
We recorded 1 post on @chengduainila 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
- 10 October 2026
- Most recent seen missing
- 10 October 2026
- Median time before seen missing
- 21 hours
- Seen missing in the last 30 days
- 1
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 5 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@chengduainila named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 15 October 2026 – 16 October 2026 · confirmed gone 21 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“成都医科大学报告榜单” (@chengduainila), 33,589 subscribers as measured 8 November 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.