🎀艺名: 瑶瑶 🌈地址: 天河 💥课费:800P-1500PP 🚀联系:@yaols11 💎小窝:https://t.me/yy168d ✏️视频:已认证✅

Channel
广州红楼娱乐资源大全
@GZfhsjBg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,212subscribers
+3,147 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001874033563 |
|---|---|
| Type | Channel |
| Username | @GZfhsjBg |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/GZfhsjBg |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 18:18 | 24,212 | -165 |
| 16 Sept 2026, 06:38 | 24,377 | +137 |
| 14 Sept 2026, 13:01 | 24,240 | +94 |
| 13 Sept 2026, 01:18 | 24,146 | +288 |
| 10 Sept 2026, 23:58 | 23,858 | +304 |
| 8 Sept 2026, 00:00 | 23,554 | -908 |
| 5 Sept 2026, 01:00 | 24,462 | -586 |
| 3 Sept 2026, 07:05 | 25,048 | -100 |
| 1 Sept 2026, 22:04 | 25,148 | +68 |
| 31 Aug 2026, 23:34 | 25,080 | +27 |
| 30 Aug 2026, 21:37 | 25,053 | +21 |
| 29 Aug 2026, 23:24 | 25,032 | -1 |
| 28 Aug 2026, 22:27 | 25,033 | +22 |
| 27 Aug 2026, 23:25 | 25,011 | -4 |
| 26 Aug 2026, 21:54 | 25,015 | -197 |
| 25 Aug 2026, 21:36 | 25,212 | +42 |
| 24 Aug 2026, 20:37 | 25,170 | +230 |
| 23 Aug 2026, 05:52 | 24,940 | +3,408 |
| 21 Aug 2026, 15:06 | 21,532 | +259 |
| 20 Aug 2026, 10:32 | 21,273 | first reading |
Engagement
12 posts held, back to 7 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.20%
- avg views ÷ 24,212 subscribers
- Avg views / post
- 775
- 5 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 12 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.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 12 (7 August 2026 – 30 August 2026) |
| Views total | 3,874 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:50 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 40s
- Average length
- 9s
Measured directly from 11 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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 of the 12 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 7 August 2026 to 30 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
🫥花名: 爱丽莎 😐定位: 广州 天河 😳课费: 700/p 1300/pp 🫥私聊: @ailisha9 😓花园: @hisu52 🫣标签: #可69 #舌吻 #裸吹 #制服 😟视频已认证🤔
🫥花名: 二次元小魔女 😐定位: 广州 天河 😳课费: 800/p 1500/pp 🫥私聊: @xmn0505 😓花园: @dcnil19 🫣标签: #可SM #舌吻 #制服 😟视频已认证🤔
🫥花名: 花店老板娘 😐定位: 天河区 😳课费: 800/p 1500/pp 🫥私聊: @huals88 😓小窝: @huad80 😐报告: @hjdu19 🫣标签: #御姐 #舌吻 #裸吹 #制服 😟视频已认证🤔
🫥花名: 奶霸 😐定位: 天河区 😳课费: 800/p 1500/pp 🫥私聊: @naiba13 😓小窝: @ncisx09 😐报告: @hsisi13 🫣标签: #大胸 #舌吻 #裸吹 #制服 😟视频已认证🤔
🫥花名: 马来西亚柳如烟 😐定位: 天河区 😳课费: 800/p 1600/pp 🫥私聊: @mlxjj77 😓小窝: @mlxyhy1 😐报告: @lrybg1 🫣标签: #混血 #舌吻 #裸吹 #制服 😟视频已认证🤔
❤1
🫥花名: 狂野 😐定位: 广州 天河 😳课费: 1200/p 🫥私聊: @fcmhj88y 😓花园: @hjm52088y 🫣标签: #毒龙 #可69 #口爆 #SM 😟视频已认证🤔
天河智慧城泡浴SPA场 高颜值00后美女老师,环境优雅、私密性高、干净卫生,所有用品浴巾、蓝色小短裤、搓澡巾等均为一次性物品。 🌹授课内容: A套餐:预约价489元 60分钟(原价699) 药浴,搓澡、🌸花式调情,真🐻调情,真🐻全身调,双乳游走全身顶水管,大奶蜂拥推全身,高山流水走一走,一飞冲天现巨乳,还有美女助浴、泡澡🛀🏻、搓澡,抓🐉根,时间内不限次数出水 B套餐: 预约价689元 70分钟(原价899) 养生泡浴,搓澡,真🐻打🐻推,半裸🐻服务,双乳游走全身,大奶蜂拥推全身,高山流水走一走,一飞冲天现巨乳,性感艳舞💃🏻,海底捞🈷️ ,🐒偷🍑,美女助浴、泡澡🛀🏻、抓🐉根、全身推油,花式调情、🦶🏻推,鼻吸环游、鼻吸金三角,高跟丝袜诱惑,不限制次数出水。 频道:http://t.me/xinglanspa ✈️电话:16624660111 ✈️TG:@xinglan_spa 泡泡浴
🫥花名: BBW蜜桃 😐定位: 天河区 😳课费: 800/p 1400/pp 🫥私聊: @mitao822 😓小窝: @mitao220 🫣标签: #大胸 #舌吻 #裸吹 #制服 😟视频已认证🤔
🫥花名: 小乔 😐定位: 天河区 😳课费: 800/p 1500/pp 🫥私聊: @xiaoqiao87 😓小窝: @xiaoqiao1185 🫣标签: #嫩妹 #舌吻 #毒龙 #口爆 😟视频已认证🤔
🫥花名: 小萝莉甜甜 😐定位: 天河区 😳课费: 800/p 1400/pp 🫥私聊: @xiaoluoli6 😓小窝: @xttluol1 😐报告: @luoli2318 🫣标签: #嫩妹9 #舌吻 #裸吹 #制服 😟视频已认证🤔
🫥花名: 西施 😐定位: 广州 天河 😳课费: 800/p 1500/pp 🫥私聊: @ilqhe18 😓花园: @bsiaz13 🫣标签: #可69 #舌吻 #裸吹 #毒龙 😟视频已认证🤔
❤2
Showing the 12 most recent of 12 posts we hold for @GZfhsjBg. 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.
Names
Channels on the register whose handles appear in this channel's posts.
@bsiaz13 · 10,1091 post广州05二次元小魔女花园🔥🔥🔥
@dcnil19 · 8,5591 post广州爱丽莎中韩一线天🍰
@hisu52 · 7,9071 post女王🦋狂野🦋新频道
@hjm52088y · 6,2931 post广州04年花店老板娘38D🌹
@huad80 · 10,5001 post广州天河BBW蜜桃🍑专属私域福利
@mitao220 · 12,3611 post广州马来西亚🇲🇾柳如烟华裔
@mlxyhy1 · 9,3951 post广州顶流奶霸频道❤️
@ncisx09 · 11,1901 post🍃广州清纯小乔🥰
@xiaoqiao1185 · 8,2331 post泡泡spa星澜
@xinglanspa · 71 post🍭广州兼职06年小萝莉甜甜🍇
@xttluol1 · 17,0961 post广州模特瑶瑶私密窝38E
@yy168d · 19,0791 post
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.
“广州红楼娱乐资源大全” (@GZfhsjBg), 24,212 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/GZfhsjBg.
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.