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Channel

深圳911报告📮

@ShaogaoTuu

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

34,392subscribers

+7,684 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001919965654
TypeChannel
Username@ShaogaoTuu
Descriptionمیدیم ⭕️
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ShaogaoTuu

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 9 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 why it has no browse page of its own yet.

Growth

26,70834,39230,5507 August 2026 — 26,708 subscribers7 August 2026 — 26,708 subscribers8 August 2026 — 26,766 subscribers9 August 2026 — 26,929 subscribers10 August 2026 — 27,127 subscribers11 August 2026 — 27,335 subscribers12 August 2026 — 27,449 subscribers12 August 2026 — 27,701 subscribers14 August 2026 — 28,213 subscribers16 August 2026 — 28,771 subscribers17 August 2026 — 29,052 subscribers18 August 2026 — 29,252 subscribers19 August 2026 — 29,503 subscribers20 August 2026 — 29,731 subscribers22 August 2026 — 30,049 subscribers23 August 2026 — 30,478 subscribers25 August 2026 — 30,765 subscribers26 August 2026 — 30,779 subscribers26 August 2026 — 30,811 subscribers27 August 2026 — 30,926 subscribers28 August 2026 — 31,132 subscribers29 August 2026 — 31,207 subscribers30 August 2026 — 31,397 subscribers31 August 2026 — 31,552 subscribers1 September 2026 — 31,649 subscribers3 September 2026 — 31,832 subscribers4 September 2026 — 32,247 subscribers7 September 2026 — 32,782 subscribers10 September 2026 — 33,308 subscribers13 September 2026 — 33,546 subscribers14 September 2026 — 33,697 subscribers16 September 2026 — 33,921 subscribers18 September 2026 — 34,392 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net +7,684. 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 25,555–35,545 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 09:1634,392+471
16 Sept 2026, 05:5933,921+224
14 Sept 2026, 14:2133,697+151
13 Sept 2026, 00:4133,546+238
10 Sept 2026, 23:3733,308+526
7 Sept 2026, 21:1932,782+535
4 Sept 2026, 21:5932,247+415
3 Sept 2026, 08:5931,832+183
1 Sept 2026, 23:2631,649+97
31 Aug 2026, 23:4631,552+155
30 Aug 2026, 22:1331,397+190
29 Aug 2026, 21:2631,207+75
28 Aug 2026, 20:3431,132+206
27 Aug 2026, 23:1330,926+115
26 Aug 2026, 22:0230,811+32
26 Aug 2026, 01:1430,779+14
25 Aug 2026, 02:3730,765+287
23 Aug 2026, 21:1430,478+429
22 Aug 2026, 03:1830,049+318
20 Aug 2026, 17:2329,731first reading

Engagement

213 posts held, back to 27 July 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 100 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.726%
avg views ÷ 34,392 subscribers
Avg views / post
250
87 posts measured
Reaction rate
0.259%
reactions ÷ views · ER floor
Posts in window
87
of 213 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 13 of 87 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 30 September 2026
Posts held213 (27 July 2026 – 30 September 2026)
Views total21,736
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 22:24 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
50
Videos
15
Links
280

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
10s
Average length
10s

Measured directly from 1 video 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

39 reactions across 33 posts, in 3 distinct kinds. The most used accounts for 87.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3487.2%
👍410.3%
🥰12.56%

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 42 of the 213 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 213 most recent posts we hold, published 27 July 2026 to 30 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

30 Sept 2026, 12:29 UTC331 viewsread 30 September 2026

(报告模板) 【老师艺名】喵喵酱 【联系方式】@GK388633 【上课地址】深圳-南山 【上课价位】1099 【验证留名】开心就好 【验证时间】2026-09-30 【颜值身材】嫩妹身材 【服务内容】C套餐 【服务态度】好👍 【优点缺点】不错,值得这个价,太专业了。 【体验细节】趁着放假前夕,出来调理下,到点遥控上门,进门就看见一个穿着一个黑丝高跟邻家小妹 突然发现老师比照片上的要好看很多 颜值可以给到9分 然后和老师寒暄了几句 给我讲解了抓龙筋的好处 和我这次要做的套餐内容 .洗完澡就先躺着 这个时候老师就在给我头部按摩 手法简直专业 然后就进行全身按摩拉伸 中途还给你讲解 简直太专业了 然后就到了最关键的抓龙筋部分 整个过程全程高能 老师能很好的把握力度和尺度 尤其是跪着的时候 配合着前列腺按摩 简直达到了颅内高潮 后来又躺着抓 360°无死角的按摩 老师还给我体验了丝足 黑丝丝袜撕开一个洞 把小鸟放进去摩擦 体验感拉…

30 Sept 2026, 07:07 UTC105 viewsread 30 September 2026

(报告模板) 【老师艺名】#濛濛 【联系方式】@mengmeng0505 【上课地址】深圳#南山 【上课价位】1500p 【验证留名】朕 【验证时间】9.30 【颜值身材】课表 【服务内容】课表见 【服务态度】好👍 【优点缺点】没有 【体验细节】第一眼袭击而来的是一位情趣感满满的老师,进门引领着我来到沙发坐下休息一会,我好好端详一下,胸很大,身材很好,马上交了水费,然后进入浴室开始洗澡,在洗澡结束老师还热情的含住了我的二弟,在此时都快把我顶起来了,老师不像其它人,吸着蛋蛋很有感觉,简直飘飘欲仙的感觉真的停不下来,口活很好,由于沉迷于享受,忘记叫老师往上走,下次我一定要补上,服务细致又认真,舔着我的奶子,然后进行女上,然后各种姿势都会,在运动结束之后老师贴心的帮我沐浴。 温馨提示: 报告仅供参考 备注: 报告出自911

30 Sept 2026, 06:02 UTC99 viewsread 30 September 2026

(报告模板) 【老师艺名】雯雯 【联系方式】@wenwen6696 【上课地址】宝安#固戌 【上课价位】500元 【验证留名】坤坤 【验证时间】9月30日 【颜值身材】 颜值担当 【服务内容】口爆 【服务态度】开朗 【优点缺点】口活好 【体验细节】妹子说: 中午十二点开课 ,果断预约前来,进门就看见雯雯老师坐在沙发上,互相打个招呼,接着我开始脱衣服,她则是帮忙去拿拖鞋,等我脱完她也脱完了,接着一起洗澡,洗的动作很轻柔,洗完帮忙擦干,一起回房间,上床开始正戏,她先趴在我身边,舔我奶头,我则伸手摸屁股,摸逼,很滑很多水,肤质柔软有弹性,接着她转头开始舔蛋蛋,舌头很软,很温热,我伸手摸奶子,奶子饱满,手感软弹,接着开始口交,口活特别好,没有齿感,嘴巴裹的很紧,触感很滑很舒服,也很上头,嫩妹这么好的技术,也算是少见了,毕竟大部分嫩妹都是嘴唇夹住,敷衍几下的,然后开始正戏,按摩调情,毒龙,舌尖漫游,69互动 ,课表上该有的服务都有,老师服…

29 Sept 2026, 08:16 UTC192 viewsread 30 September 2026

(报告模板) 【老师艺名】#濛濛 【联系方式】@mengmeng0505 【上课地址】深圳#南山 【上课价位】1500p 【验证留名】x is 【验证时间】9.29 【颜值身材】课表 【服务内容】课表 【服务态度】很好 【优点缺点】白嫩 【体验细节】又一次出击濛濛,对于濛濛已经多少返已经不记得了,但是濛濛也是热情体贴哪怕是来的第N回服务也如初恋不马虎。今天濛濛的妆很细腻,濛濛真的很好看。后边的服务是顶级的从来不操心,今天的女上无敌了,想时间停止在那一刻,最后还是那句希望大家温柔对待把濛濛留在深圳大家可以无脑冲 备注: 报告出自911

28 Sept 2026, 05:36 UTC296 viewsread 30 September 2026

(报告模板) 【老师艺名】雯雯 【联系方式】@wenwen6696 【上课地址】宝安#固戌 【上课价位】500元 【验证留名】找坡 【验证时间】9月27日 【颜值身材】 丰满 【服务内容】口爆 【服务态度】热情 【优点缺点】服务态度好,不催时间,口活好 【体验细节】无意中水群发现老师,一眼就相中了 ,小区位置好找,停车方便,遥控上门。到点如约而至,映入眼帘是一位身材火辣笑容甜美的姑娘,两个大🐻特别吸引🤩这就是路上一直心心念念的小太阳,说话温柔,而且很健谈,简单寒暄一下,交了水费。进人我们温存的鸳鸯浴,脱掉衣服两个巨乳确实是我见过最大而且最实在的,身材比例太好了,洗完老师开始服务波推,臀推,前面,背面,口...真是爽歪歪。然后黑丝吊带渔网袜如星星之火,催眠着我,二弟逐渐步入状态,一柱擎天。用手抚摸老师下面,水哗哗滴流,呻淫声也让我难抵诱惑,69、毒龙、整根大鸡鸡被老师口全部裹入,舌头不停的打转,同时被眼神迷住,就这样被老师拿下,体…

27 Sept 2026, 08:32 UTC306 viewsread 30 September 2026

【老师艺名】彤彤 【联系方式】@TT68881 【上课地址】宝安西乡 【上课价位】500♻️ 【验证留名】廖 【验证时间】9月27 【颜值身材】要身材有身材,要波有波,要屁股有屁股,还水多 【服务内容】口爆 【服务态度】态度绝佳,礼貌待人,时间也做得足,很有耐心。 【优点缺点】进出方便 【体验细节】地址非常放便,地铁🚇楼下,进门后房间挺干净的,屋内还有一点香味,老师笑容甜美,很治愈,人照一样,老师真的好高,身材真好,进门后老师对我嘘寒问暖的,问今天过得怎么样,渴不渴啊,但是为了快点拥有,帮我洗了沐浴露,冲了水就一起躺在了床上聊起了风花雪月,当然也缺少不了我对她的赞美(口活很棒)!过水漫游,毒龙,深喉,全身很麻,老师很会调情,挑逗我的鸡巴,很快就硬起来开始,让老师躺下,鸡巴在森林的边缘不断的摩擦,魔棒就差点被老师的魔力征服,然后毒龙,69,深喉反转,龙旋风,狂风暴雨一顿猛吸,缴械啦。老师服务好,性格温柔,情绪价值高,懂得配合,十全…

Showing the 12 most recent of 213 posts we hold for @ShaogaoTuu. 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 3 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳911报告📮” (@ShaogaoTuu), 34,392 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ShaogaoTuu.

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.