Telegram RegisterThe public register of Telegram

Channel

广州911报告📮

@ZhangWaog

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

20,000subscribers

+573 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001325739597
TypeChannel
Username@ZhangWaog
DescriptionПравила
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ZhangWaog

Growth

19,42720,00019,713.57 August 2026 — 19,427 subscribers8 August 2026 — 19,449 subscribers9 August 2026 — 19,463 subscribers10 August 2026 — 19,615 subscribers11 August 2026 — 19,733 subscribers13 August 2026 — 19,827 subscribers14 August 2026 — 20,000 subscribers7 August 202614 August 2026
7 measurements spanning 7 days, net +573. 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 19,341–20,086 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:4620,000+173
13 Aug 2026, 01:5419,827+94
11 Aug 2026, 22:5519,733+118
10 Aug 2026, 20:2119,615+152
9 Aug 2026, 18:1119,463+14
8 Aug 2026, 19:0519,449+22
7 Aug 2026, 19:1819,427first reading

Engagement

25 posts held, back to 24 March 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
2.29%
avg views ÷ 20,000 subscribers
Avg views / post
458
11 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
11
of 25 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 1 of 11 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 14 August 2026
Posts held25 (24 March 202614 August 2026)
Views total5,035
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 20:14 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
49
Videos
30
Links
194

Lifetime counters from Telegram’s own channel header, read 14 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.

Video runtime
47s
Average length
12s

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

6 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 6 of the 25 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 24 March 2026 to 14 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

4 Aug 2026, 05:11 UTC712 views0 reactionsread 14 August 2026

(报告模板) 【老师艺名】小新 【联系方式】 @xiaoxin3693 【上课地址】天河 【上课价位】800p 【验证留名】牛哥 【验证时间】8.3 【颜值身材】身材好 【服务内容】课表 【服务态度】好 【优点缺点】没缺点 【体验细节】课室好找导航直达,引导上楼,进门后就是一片温馨,课室温暖宽敞干净,空气指数优,隔音效果很棒。躺下身旁是美人,抬眼头顶是星空。看到老师,就知道什么叫身姿绰约,听到声音就知道什么叫软糯甜美,热情拥抱后就知道什么叫身段柔软,皮肤滑嫩如奶油般细腻。老师温柔幽默,情绪价值极其到位,服务周到样样不落,甜美笑声环绕耳边,在美人怀抱才知道世间美好,拥抱美人才知道什么叫宝贝在怀。要问老师好评指数,屋顶星空有多少星星,老师就知道多少星星好评。完美,给老师标记,下次继续来上课。 备注: 报告出自911

31 Jul 2026, 04:45 UTC≈1,100 viewsread 14 August 2026

(报告模板) 【老师艺名】小新 【联系方式】 @xiaoxin3693 【上课地址】天河 【上课价位】800p 【验证留名】勇士 【验证时间】7.30 【颜值身材】身材很棒 【服务内容】课表 【服务态度】好 【优点缺点】没缺点 【体验细节】提前约了时间遥控上楼,见到之后发现比频道照片漂亮,当时就很满意,然后帮忙拿拖鞋开洗澡水去洗了澡。帮擦干的过程十分仔细。上到床上之后,很喜欢老师的口技,深喉和舌头很棒,舌头超级软,乳头也很软。下边挺紧的,水还很多,关键是越干越紧水越多,做的时候感觉像一直夹着我一样,到了后入的时候真的坚持不了多久就出水了 总体来说很满意 温馨提示: 报告仅供参考 备注: 报告出自911

24 Jul 2026, 06:09 UTC≈1,630 viewsread 14 August 2026

【老师艺名】天河高端95私房菜会所 【联系方式】 @Xielin520 【上课地址】 #天河 【上课价位】800 【验证留名】半价才出击 【验证时间】 7.24 【颜值身材】 熊很软,性格温柔, 【服务内容】 深喉 【服务态度】好 【优点缺点】 特骚 【体验细节】联系客服要位,到达后好停车好找,进房间见了了老师后瞬间起反应了,风韵的感觉,温柔大方,波涛汹涌,恨不得澡都不洗了马上开干,助浴,值得称赞的水中萧,感觉超级棒,差点守不住。胸软Q弹,无科技,上床后各项课表服务做得很仔细,重点口活确实舒服,身材匀称,🐻很软,手感超好,嘴唇包裹感很强,最喜欢的深喉,好销魂,翻云覆雨后后入千军万马奔腾而出,完美体验,值得回锅, 温馨提示: 报告仅供参考

24 Jul 2026, 04:53 UTC≈1,170 viewsread 14 August 2026

(报告模板) 【老师艺名】小新 【联系方式】 @xiaoxin3693 【上课地址】天河 【上课价位】1500pp 【验证留名】momuo 【验证时间】7.23 【颜值身材】前凸后翘 【服务内容】课表 【服务态度】好 【优点缺点】没缺点 【体验细节】老师身材非常顶,前凸后翘,胸C加非常好看真实的胸,一只手抓不住,进门热情拿拖鞋,交水费,开洗澡水,帮擦干,贴贴,磨豆腐,搞得我第一次123就完了,幸好约了2p,休息的时候老师不冷场,躺在怀里时不时挑逗下,休息完后继续亲也很顶,还有胸夹我,扛不住,再次提枪上场,老师在上,bb真的会夹,两次123后再次缴枪,很爽会继续返的 温馨提示: 报告仅供参考 备注: 报告出自911

23 Jul 2026, 04:07 UTC316 viewsread 14 August 2026

【老师艺名】天河高端95私房菜会所 【联系方式】 @Xielin520 【上课地址】 #天河 【上课价位】800 【验证留名】龟儿子 【验证时间】 7.23 【颜值身材】 腿长 【服务内容】 深喉 【服务态度】非常好 【优点缺点】 无 【体验细节】老师一进门就看到那张让勾人欲望的脸蛋,勤快的给我拿了拖鞋,把我拉进了浴室洗浴,洗的很用心每个角落都洗干净了。很快转战床上,用冰水吸过每一寸肌肤,二弟肃然起敬,老师小嘴是很紧,口差点被秒,老师有放慢速度,享受一波三起三落,最后做起深喉,来回几下到底,顺利出货了,很愉快的一次出击回味无穷 温馨提示: 报告仅供参考

26 Jun 2026, 11:10 UTC≈5,440 viewsread 14 August 2026

【老师艺名】#广州海珠高端公寓式95Spa会所 【联系方式】@Ym229yp 【上课地址】#海珠 #琶洲 【上课价位】800 【验证留名】榴莲披萨 【验证时间】6.26 【颜值身材】很符合我的审美,身材比例也很棒 【服务内容】全果,69,口爆,爽,还有制服黑丝诱惑,🐍 【服务态度】很好,不催钟 【优点缺点】没有缺点 【体验细节】群里朋友介绍过来的,说这边有个地方特别适合我这种喜欢刺激的人,抱着试试看的心态预约了,结果一进门就有点懵,高档公寓式会所,不嘈杂,每间房都是单独结构,隔音效果非常好。一进来老师就蹲着给我换鞋,半跪着给递茶,弯腰给脱衣服,第一印象就让人非常舒服,服务体验拉满。老师身上的香水味和气味,一种勾人的诱惑感觉,皮肤很白,两个胸走起路来轻轻晃着,我当时就想,这双性感的大奶子如果曾在我身上,一定特爽,还没开始服务,就让人充满想象了。进了房间,终于让我想象成真了,雪白的酥胸就这么赤裸裸的把我下面裹起来了,老师捏着我的玩

Showing the 12 most recent of 25 posts we hold for @ZhangWaog. 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 — 840,104 of 1,345,403entries 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.

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

“广州911报告📮” (@ZhangWaog), 20,000 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ZhangWaog.

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.