Telegram RegisterThe public register of Telegram
Telegram profile photo for 成都剧情疗愈馆

Channel

成都剧情疗愈馆

@juqingliaoyu

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

1,855subscribers

+169 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003795941937
TypeChannel
Username@juqingliaoyu
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live18 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/juqingliaoyu

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 18 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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

1,6862,1151,900.531 August 2026 — 1,686 subscribers31 August 2026 — 1,738 subscribers4 September 2026 — 2,115 subscribers10 September 2026 — 1,882 subscribers13 September 2026 — 1,777 subscribers18 September 2026 — 1,855 subscribers1,85531 August 202618 September 2026
6 measurements spanning 18 days, net +169. 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 1,622–2,179 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 03:371,855+78
13 Sept 2026, 21:391,777-105
10 Sept 2026, 02:161,882-233
4 Sept 2026, 18:202,115+377
31 Aug 2026, 17:131,738+52
31 Aug 2026, 10:001,686first reading

Engagement

19 posts held, back to 4 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 1,855 subscribers
Avg views / post
237
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 19 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 31 August 2026
Posts held19 (4 August 202631 August 2026)
Views total946
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 10:00 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
1m 42s
Average length
26s

Measured directly from 4 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

11 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 5 of the 19 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 4 August 2026 to 31 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

31 Aug 2026, 07:06 UTC131 viewsread 31 August 2026
Photo

🎰 91·定制剧情福利来袭🧧 📮 参与条件: 🪪 必须设置用户名 🎫 加入-成都剧本疗愈馆 └ 🎟️ 发言数大于 3 条 🎫 加入-成都剧情疗愈馆 🎫 加入-成都91修车学院 └ 🎟️ 发言数大于 3 条 🎫 加入-成都91修车学院已验车库 🎁 奖品内容: 💰️ 现金红包66元 × 2 💰️ 白嫖券(套餐1/2任选) × 1 ⚠️ 抽奖说明: 定制剧情/教师医生SM,实景教室!1V1 可解锁多种玩法 详情咨询:@youmiliaoyu 1.中奖者请在48小时内联系兑换 2.中奖白嫖券,兑换使用后须出具体验报告 3.本次奖品白嫖券不可折现、不可转让、不可买卖;因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 🔋 人品加成:⚡️ 规则 📅 开奖日期:(北京时间) 2026年09月05日 20时00分00秒

31 Aug 2026, 01:57 UTCviews —

成都剧情疗愈馆 pinned «今日课程《人生重要的一课》 1; 老师穿着白衬衫黑丝走上讲台,严厉的叫我翻到课本的32页学习古诗锄禾《《《《《《《《《《《《《《《《《《《老师在上面念一句我跟着学一句, 皮肤白皙的老师竟然领扣留了几颗,若隐若现的乳沟进入眼帘,老师教完叫的默写古诗我不太会,老师走到我身后弯下了腰脸贴近我的耳朵轻轻的问道: 刚教的都不会写啊同学,然后老师的手伸进了我的衣服里面抚摸我的乳头~好痒。我这时下面也硬到不行,老师也看见了老师坐在我旁边问我老师的腿 美吗?喜欢老师的丝袜吗?我也顾不了写古诗手不禁的摸向了老师的…»

31 Aug 2026, 01:56 UTC209 viewsread 31 August 2026

今日课程《人生重要的一课》 1; 老师穿着白衬衫黑丝走上讲台,严厉的叫我翻到课本的32页学习古诗锄禾《《《《《《《《《《《《《《《《《《《老师在上面念一句我跟着学一句, 皮肤白皙的老师竟然领扣留了几颗,若隐若现的乳沟进入眼帘,老师教完叫的默写古诗我不太会,老师走到我身后弯下了腰脸贴近我的耳朵轻轻的问道: 刚教的都不会写啊同学,然后老师的手伸进了我的衣服里面抚摸我的乳头~好痒。我这时下面也硬到不行,老师也看见了老师坐在我旁边问我老师的腿 美吗?喜欢老师的丝袜吗?我也顾不了写古诗手不禁的摸向了老师的腿,老师摸了摸我下面,简直不要太爽。。。。。 2;这个时候老师提出做游戏猜卡牌,开始答错就表演才艺老师给我跳了一段舞给我助兴一样,后面答错可以摸对方亲对方,最后答错就说脱衣服,{此环节 仅限BL版}此刻我心里特别激动一定要赢下答题我要看到老师不穿衣服的样子,最后还是如愿以偿老师脱掉了她的上衣一对雪白的乳房映入眼帘不过我

29 Aug 2026, 14:18 UTC409 viewsread 31 August 2026
Photo

定制剧情来袭🌸🌸 教师医生SM,实景教室 一对一剧情,解锁多种玩法🌸🌸 咨询 @youmiliaoyu 双向机器人, @Youmiliaoyu123_bot

17 Aug 2026, 03:44 UTC≈1,510 views2 reactionsread 31 August 2026
Photo

定制剧情来袭🌸🌸 教师医生SM,实景教室 一对一剧情,解锁多种玩法🌸🌸 咨询 @youmiliaoyu 双向机器人, @Youmiliaoyu123_bot

2

14 Aug 2026, 13:01 UTC≈1,630 views1 reactionsread 31 August 2026
Video

定制剧情来袭🌸🌸 教师医生SM,实景教室 一对一剧情,解锁多种玩法🌸🌸 咨询 @youmiliaoyu 双向机器人, @Youmiliaoyu123_bot

1

14 Aug 2026, 03:23 UTC≈1,240 viewsread 31 August 2026

欢迎预约优咪情景演绎 预约联系 tg客服: @youmiliaoyu 双向机器人: @Youmiliaoyu123_bot qq:2872636281 微:jben01

13 Aug 2026, 12:15 UTC≈1,290 views2 reactionsread 31 August 2026

成都医科大学修车群专属报告 【妹子花名】:优咪情景疗愈 【验证留名】:匿名 【人照得分】: 9 【颜值得分】: 9 【身材得分】: 9 【服务得分】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 9 【验证时间】:2026-08-13 【所在位置】:东郊记忆 【修车水费】:798 【是否代聊】:否 【身高体重】:身高170,体重约100 【妹子年龄】:26 【服务内容】:92 【优点缺点】:剧情新颖,服务好,互动环节多缺点无 【过程描述】:{先说特色方面,场景布置剧情内容都跟出色,布置合理,老师非常专业,从数理到政史再到哲学,在选人方面没得说,专业的。环节设置有很多互动,可开发度高。再说老师硬件,身高170,大长腿,身材修长体态好,颜值也高。如果没有体验过的,一定要试试,值得推荐。} 成都医科大学:https://t.me/chengdu338

2

Showing the 12 most recent of 19 posts we hold for @juqingliaoyu. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“成都剧情疗愈馆” (@juqingliaoyu), 1,855 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/juqingliaoyu.

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.