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Channel

香港暗栖

@xianggangchee

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

23,298subscribers

-5,685 since we began measuring on 1 September 2026

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

Register entry

Telegram ID-1001531175664
TypeChannel
Username@xianggangchee
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 September 2026
Last confirmed live8 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/xianggangchee

Growth

23,29828,98326,140.51 September 2026 — 28,983 subscribers1 September 2026 — 28,983 subscribers2 September 2026 — 28,763 subscribers3 September 2026 — 27,178 subscribers5 September 2026 — 25,489 subscribers8 September 2026 — 23,298 subscribers1 September 20268 September 2026
6 measurements spanning 7 days, net -5,685. 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 22,445–29,836 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 23:1823,298-2,191
5 Sept 2026, 17:4125,489-1,689
3 Sept 2026, 16:2127,178-1,585
2 Sept 2026, 09:0328,763-220
1 Sept 2026, 14:4528,983no change
1 Sept 2026, 14:3128,983first reading

Engagement

8 posts held, back to 29 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 7 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.11%
avg views ÷ 23,298 subscribers
Avg views / post
258
8 posts measured
Reaction rate
0.725%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 8 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 4 September 2026
Posts held8 (29 August 20264 September 2026)
Views total2,062
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 12:42 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 05s
Average length
11s

Measured directly from 6 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 8 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 29 August 2026 to 4 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

4 Sept 2026, 04:15 UTC42 viewsread 4 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 🥇【澳门/珠海/中山】 水床会所选妃 📢 南京车神 |【全城精品资源】 📢 合肥老师修车 📢 重庆品茶 📢 武汉青莲楼 📢 长沙会所spa公开榜 📢 95/96 服务 SPA 会所|深圳全城门店 📢 香港楼凤 📢 江阴修车花园 📢 天津外围 天津上门 选妃资源 ------------------------------ ☁️ 互推入口:@sososo

3 Sept 2026, 07:15 UTC138 views1 reactionsread 4 September 2026
Photo

🫦 #12号女仆:白芷若 💴 上课消费:1000/p 2000/pp 🕌 娱乐地点:#油麻地 💵 身材比例:高170cm 体重47.5kg 🐻C杯 🎀 个人电报:@BZR170 📬 女神频道:@zxg5524 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

1

3 Sept 2026, 04:11 UTC36 viewsread 3 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 深圳青楼 📢 站街扫街探店spa 📢 深圳无忧修车 📢 深圳 95/96SPA 精品会所|同城推荐 📢 深圳会所95优质店 在线频道 📢 郑州摩登女郎 📢 广州上门 📢 上海各区spa按摩红灯区 📢 荆州江陵 📢 合乎周礼 包养 选妃 ------------------------------ ☁️ 互推入口:@soso

2 Sept 2026, 09:05 UTC247 viewsread 4 September 2026
Photo

🫦 #11号女仆:思婉 💴 上课消费:1000/p 2000/pp 🕌 娱乐地点:#深水埗 💵 身材比例:高173cm 体重47kg 🐻C 🎀 个人电报:@SW17207 📬 女神频道:@SW34C172 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

1 Sept 2026, 06:42 UTC375 viewsread 4 September 2026
Photo

🫦 #10号女仆:叶灵儿 💴 上课消费:1200/p 2400/pp 双2600H 🕌 娱乐地点:#油尖旺 💵 身材比例:高172cm 体重50kg 🐻E 🎀 个人电报:@YLER170 📬 女神频道:@YLEDG1 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

31 Aug 2026, 07:43 UTC406 viewsread 4 September 2026
Photo

🫦 #9号女仆:咪西儿 💴 上课消费:1200/p 2400/pp 🕌 娱乐地点:#油尖旺 💵 身材比例:高168cm 体重50kg 🐻D 🎀 个人电报:@boboya0002 📬 女神频道:@dsdj455 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

30 Aug 2026, 07:24 UTC402 viewsread 2 September 2026
Photo

🫦 #8号女仆:大蜜 💴 上课消费:1000/p 2000/pp 🕌 娱乐地点:#油尖旺 💵 身材比例:高171cm 体重54kg 🐻D 🎀 个人电报:@damimi1318 📬 女神频道:@DMMya1 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

29 Aug 2026, 11:10 UTC416 viewsread 2 September 2026
Photo

🫦 #7号女仆:娜娜 💴 上课消费:1000/p 2000/pp 🕌 娱乐地点:#油尖旺 💵 身材比例:高172cm 体重54kg 🐻D 🎀 个人电报:@NANA172D 📬 女神频道:@nuna555574 🔗 同城群聊:https://t.me/xianggang889 📱📱📱📱📱📱📱📱📱 🔥认证: 视频认证,押金已交 🙃🙂‍↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦

Showing the 8 most recent of 8 posts we hold for @xianggangchee. 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“香港暗栖” (@xianggangchee), 23,298 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/xianggangchee.

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.