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Channel

「成都」98k学院报告

@cd9800001

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

8,785subscribers

+2,134 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001847743617
TypeChannel
Username@cd9800001
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live15 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/cd9800001

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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

6,6518,7857,71816 August 2026 — 6,651 subscribers16 August 2026 — 6,651 subscribers17 August 2026 — 6,735 subscribers20 August 2026 — 7,045 subscribers24 August 2026 — 7,371 subscribers27 August 2026 — 7,623 subscribers30 August 2026 — 7,858 subscribers2 September 2026 — 8,046 subscribers7 September 2026 — 8,370 subscribers11 September 2026 — 8,605 subscribers15 September 2026 — 8,785 subscribers16 August 202615 September 2026
11 measurements spanning 29 days, net +2,134. 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 6,331–9,105 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 04:408,785+180
11 Sept 2026, 20:428,605+235
7 Sept 2026, 04:178,370+324
2 Sept 2026, 10:088,046+188
30 Aug 2026, 01:067,858+235
27 Aug 2026, 08:187,623+252
24 Aug 2026, 07:537,371+326
20 Aug 2026, 05:337,045+310
17 Aug 2026, 12:146,735+84
16 Aug 2026, 19:156,651no change
16 Aug 2026, 19:006,651first reading

Engagement

26 posts held, back to 27 May 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 5 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.182%
avg views ÷ 8,785 subscribers
Avg views / post
16.0
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 26 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 28 August 2026
Posts held26 (27 May 2026 – 28 August 2026)
Views total16
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 21:28 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.

Reaction mix

5 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤480.0%
🤩120.0%

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 4 of the 26 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 27 May 2026 to 28 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

28 Aug 2026, 16:16 UTC16 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:枝枝 【妹子车牌】:@hshghhf 【验证留名】:@gxywxygg 【验证时间】:8.5 【所在位置】:三瓦窑 【修车水费】:1工 【是否代聊】:否 【身高身材】:160 【妹子年龄】:28 【湿度紧度】: 一般 【颜值相似】:8分 【凶器罩杯】:b 【环境卫生】:干净 【服务内容】:帮洗 水中萧 ab面 毒龙 【机车行为】:无 【优点缺点】:颜值少妇,服务很顶, 【性价比】:9 【推荐程度】:8 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:进门看到一个精致小少妇,达州妹子,妹子帮洗然后水中萧 ab面 毒龙 舔蛋 服务非常顶,进入主题后,妹子还会情不自禁的叫老公 爸爸 草我,体验感很好,妹子子宫靠后,后入不能太用力,大力抽插几次后出货了,吃服务的兄弟可以冲,开4这个服务…

27 Aug 2026, 00:54 UTC55 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:妮妮 【妹子车牌】:@wan0500 【验证留名】:在忙 【验证时间】:8.26 【所在位置】:上门 【修车水费】:4p 7pp 【是否代聊】:自 【身高身材】:160cm55kg,有点肚子 【妹子年龄】:27 【湿度紧度】: 水多比较紧 【颜值相似】:8 【凶器罩杯】:E 【环境卫生】:上门车震 【服务内容】:手推,乳胶,口,做爱 【机车行为】:无 【优点缺点】:颜值尚可,说话温温柔柔的活好,尤其是口和手,缺点:肚子有肉 【性价比】:9 【推荐程度】:9 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:开车接到老师,找了个僻静小路,老师口活特好,手推爽的飞起,完事以后老师还把战场收拾干净了。4p7pp性价比拉满 https://t.me/HHYM00001

21 Aug 2026, 07:25 UTC105 viewsread 28 August 2026

【时间】:2026-08-21 【老师】:结衣 【留名】:热烈的温(封心锁胩) 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:8 【综合】:8.83 【过程】:一进门老师就很热情的拉我进门,在浴室很仔细帮洗,一上床就不断地挑逗和做服务,口活很好,服务很巴适,属于是少妇服务车,在成都4/7性价比拉满

21 Aug 2026, 07:19 UTC100 views1 reactionsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:结衣 【妹子车牌】:@HHA686800 【验证留名】:温 【验证时间】:8.20 【所在位置】:东城印象 【修车水费】:4p 7pp 【是否代聊】:混 【身高身材】:163cm50kg,身材很好 【妹子年龄】:26 【湿度紧度】: 肉逼,正常湿度紧度。 【颜值相似】:9,忧郁少妇 【凶器罩杯】:d 【环境卫生】:干净整洁 【服务内容】:洗,口,ab面,毒龙,啪啪 【机车行为】:无 【优点缺点】:少妇,颜值不错,态度很好,非常健聊,缺点:肚子有肉 【性价比】:9 【推荐程度】:9 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:进门一看就是个忧郁少妇,身材非常好,胸大,稍微一点赘肉,态度热情,主动聊天浴室帮洗 床上口的很深,下面紧多水,主动发骚,身材丰满,各种姿势配合,4p7…

❤1

21 Aug 2026, 02:26 UTC80 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:美美 【妹子车牌】:@wsmm1999 【验证留名】:danny 【验证时间】:8.19 【所在位置】:东城印象 【修车水费】:4p 7pp 【是否代聊】:自聊 【身高身材】:165cm50kg,身材很好 【妹子年龄】:26 【湿度紧度】: 蝴蝶逼吧,没细看,正常湿度紧度。 【颜值相似】:8.5,本人御姐颜值可以 【凶器罩杯】:b杯 【环境卫生】:干净整洁 【服务内容】:洗,口,ab面,毒龙,啪啪 【机车行为】:无 【优点缺点】:优点:御姐,颜值不错,态度很好,非常照顾情绪,缺点:胸有点小 【性价比】:9 【推荐程度】:9 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:第一眼还是很惊喜,以为是少妇,没想到御姐,身材非常好,没有什么赘肉,主动热情,还帮忙脱鞋,浴室洗漱完直接水…

18 Aug 2026, 09:03 UTC108 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:婉婷 【妹子车牌】:@idylp1314 【验证留名】:兴奋的大公鸡 【验证时间】:8.18 【所在位置】:东城印象 【修车水费】:4p 7pp 【是否代聊】:闺蜜代聊 【身高身材】:160cm52kg 【妹子年龄】:27 【湿度紧度】: 蝴蝶逼,开口蚌,正常湿度紧度。 【颜值相似】:8 【凶器罩杯】:b+杯 【环境卫生】:干净整洁 【服务内容】:洗,口,啪啪 【机车行为】:无 【优点缺点】:优点:良家少妇感配合度高。少妇服务车,缺点:胸有点小 【性价比】:8 【推荐程度】:8 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:和老师约好了时间进门以后,看到了就是良家少妇的感觉,先是一起共浴,然后给做A面,没有B面,口了一会就戴套开凿,先是女上,我吃着奶头,奶头比较大吃的过瘾。…

11 Aug 2026, 12:54 UTC173 views1 reactionsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:奶兔 【妹子车牌】:@naitu8 【验证留名】:magicrensheng 【验证时间】:8.10 【所在位置】:东城印象 【修车水费】:5p 7pp 【是否代聊】:自聊 【身高身材】:165 102 【妹子年龄】:30左右 【湿度紧度】: 蝴蝶逼逼,又紧又湿,毛毛多,性欲旺。 【颜值相似】:8 【凶器罩杯】:c杯 饱满柔软 【环境卫生】:干净整洁 【服务内容】:洗,口,啪啪,毒龙,调教,口爆,胸推,水中萧 【机车行为】:无 【优点缺点】:优点:非常听话,非常愿意配合。少妇服务车,缺点:胸部有点纹身 【性价比】:8 【推荐程度】:8 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:和妹妹约好时间,地址是小区人流很大 很安全 进门就很热情 长相和照片基本一致 少妇型 房间卫生…

🤩1

11 Aug 2026, 05:44 UTC141 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:小玖儿 【妹子车牌】:@szlll1122 【验证留名】:我有个小盆盆 【验证时间】:8.6 【所在位置】:昭觉寺南路 【修车水费】:套餐A 330 元 / 套餐B 420 元 / 套餐C 520元/套餐D 555 【是否代聊】:自聊 【身高身材】:160/92 【妹子年龄】:28 【湿度紧度】: 不涉及 【颜值相似】:8.8 【凶器罩杯】:B,圆润柔软 【环境卫生】:干净整洁 【服务内容】:指滑调情、ab面鼻息,舌漫,胸推,舔咪咪、丝足、手推,抓龙筋,寸止 【机车行为】:无 【优点缺点】:优点:妹妹年轻漂亮。手法娴熟。健谈不冷场。会调情。体验好。缺点:只有92 【性价比】:9 【推荐程度】:9 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:和妹妹约好时间。来到房间。开门就…

9 Aug 2026, 09:06 UTC157 viewsread 28 August 2026
Photo

【时间】:2026-08-09 【老师】:小鸟 【留名】:G 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:8 【态度】:9 【环境】:9 【综合】:8.83 【过程】:第二次回锅了,很舒服,小鸟回了老家结果又回成都开课了,还是熟悉的味道,唯一缺点还是不能蛇,不过日爽了可以让你舔咪咪,做之前现在还有服务了大加分项!

6 Aug 2026, 18:28 UTC174 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:SM金金 【妹子车牌】:@jahah778 【验证留名】:一个小蘑菇 【验证时间】:7.31 【所在位置】:中坝 【修车水费】:4p 【是否代聊】:自聊 【身高身材】:170/130。比较壮,小坦克。无纹身。 【妹子年龄】:18 【湿度紧度】: 蝴蝶逼逼,又紧又湿,毛毛多,性欲旺。 【颜值相似】:8.5 【凶器罩杯】:B,饱满柔软 【环境卫生】:干净整洁 【服务内容】:洗,口,啪啪,毒龙,调教,口爆,胸推,水中萧 【机车行为】:无 【优点缺点】:优点:非常听话,非常愿意配合。可以调教。可以毒龙。缺点:坦克 【性价比】:9.5 【推荐程度】:9.5 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:和妹妹约好时间。来到房间。开门一看,妹妹还是比较壮的。因为北方人,皮肤都是比较白哦…

21 Jul 2026, 06:05 UTC283 viewsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:贝贝 【妹子车牌】:@beibei9923 【验证留名】:小熊饼干 【验证时间】:07/21 【所在位置】:天府二街 【修车水费】:5/8 【是否代聊】:代 【身高身材】:168 130 【妹子年龄】:18 【湿度紧度】: 紧度湿度中上 【颜值相似】:8.5,真人比照片好看 【凶器罩杯】:c 【环境卫生】:公寓可以 【服务内容】:帮洗,口 做爱 【机车行为】:无 【优点缺点】:妹妹真人比照片好看一点儿,身上有肥胖纹,胖的太快了 【性价比】:8 【推荐程度】:8 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:和代哥约好,正常上门,妹儿有个狗狗,边牧多好看的,妹子很健谈,也很实诚,平时做美甲的。进门就开启闲聊模式,有啥说啥,很能聊,交水费洗漱完毕,帮洗帮擦,妹子良家感,口很生涩…

16 Jul 2026, 06:30 UTC299 views2 reactionsread 28 August 2026

「成都」98k™健身学院☀️报告 【妹子花名】:Emma 【妹子车牌】:@Emma_520 【验证留名】:@wc1000glsjsa 【验证时间】:2026-07-15 【所在位置】:交子大道 【修车水费】:600p 【是否代聊】:自 【身高身材】:160 48kg 【妹子年龄】:18 【湿度紧度】: 紧度湿度中上 【颜值相似】:8.5,真人比照片好看 【凶器罩杯】:B 【环境卫生】:日租公寓 【服务内容】:陪洗,舔咪咪,口 做爱 【机车行为】:无 【优点缺点】:妹妹真人比照片好看,身材好,热情主动 【性价比】:8.8 【推荐程度】:8.8 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:跟妹妹约好,到了房间发现妹妹比频道照片要好看,看着更丰满一些,妹儿说是戒烟所以有变胖一点,看着还是很性感,态度巨好,不愧名师,热情且礼貌,…

❤2

Showing the 12 most recent of 26 posts we hold for @cd9800001. 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“「成都」98k学院报告” (@cd9800001), 8,785 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/cd9800001.

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.