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Channel

尖沙咀Q·美少女食堂HG預約

@hk12Queen

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

933subscribers

-2,249 since we began measuring on 29 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004271788091
TypeChannel
Username@hk12Queen
CreatedBetween 1 May 2026 and 28 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live6 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/hk12Queen

Growth

9333,1882,060.529 August 2026 — 3,182 subscribers29 August 2026 — 3,188 subscribers2 September 2026 — 1,061 subscribers6 September 2026 — 933 subscribers29 August 20266 September 2026
4 measurements spanning 7 days, net -2,249. 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 595–3,526 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 01:40933-128
2 Sept 2026, 00:131,061-2,127
29 Aug 2026, 23:273,188+6
29 Aug 2026, 15:453,182first reading

Engagement

9 posts held, back to 28 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
11.6%
avg views ÷ 933 subscribers
Avg views / post
108
9 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
9
of 9 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 29 August 2026
Posts held9 (28 August 202629 August 2026)
Views total974
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 15:45 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
35s
Average length
9s

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.

Recent posts

29 Aug 2026, 14:51 UTC26 viewsread 29 August 2026

日本🇯🇵花音 聽日走 有需要的師兄盡快聯繫😁

29 Aug 2026, 14:32 UTC23 viewsread 29 August 2026
Forwarded from @xgirls123Photo

🔡美少女食堂 觀塘 X 206 好評

28 Aug 2026, 18:31 UTC131 viewsread 29 August 2026
Photo

No.1品牌鎖定 🔠 美少女食堂 🐶囡囡: T 1154 服务之星 「尖沙咀 君怡酒店 」 白虎後生靚女,莞式女王,服務一流主動熱情,雪白肌膚,天然大波😍有製服 身高 168 年紀 19 胸圍 E 天然波 家用:💵1600 雙鐘贈送艷舞 服務:坦克车 69 環保吹 口爆一流。深猴一流 前後热情陪沖涼 事后萧 🉑增值⬇️ 顏射+300 不露脸拍+500 2男一女「熟客限定」 📱 寶哥 ☎️電話+85296712038 ✈️ 睇圖頻道 t.me/hk12Queen ✈️ 賽後好評 t.me/xgirls1234 🤓🤓🤓🤓 @xgirlsfood0

28 Aug 2026, 18:30 UTC125 viewsread 29 August 2026
Photo

No.1品牌鎖定 🔠 美少女食堂 🐶囡囡:T1599 「尖沙咀 君怡酒店 」 长腿幻幻/大波超靓相头/主動熱情❤️‍🔥無毛白虎,靚鮑粉嫩🥰 身高169 年纪 18 胸围 D 家用:💵1600 ➕500🈚🍑 服務:大車 69環保吹 波推吞推水蕭陪沖涼 🉑過夜🉑飛🉑外出 🉑增值服务⬇️ 颜射+300 📱 寶哥 ☎️電話+85296712038 ✈️ 睇圖頻道 t.me/hk12Queen ✈️ 賽後好評 t.me/xgirls1234 🤓🤓🤓🤓 @xgirlsfood0

28 Aug 2026, 18:30 UTC113 viewsread 29 August 2026
Photo

No.1品牌鎖定 🔠 美少女食堂 🐶囡囡:T 1628 超幻萌㊙️ 「尖沙咀 君怡酒店 」 超幻冇纹身 细粒极品幻幻/甜美可愛/新手初做 極品粉嫩,緊如初戀,聽話配合💕 身高 156 年紀 12年 胸围 D 家用:💵1600 ➕500🈚🍑 服務:大車 69 環保吹 波推臀推 水蕭 前後細心陪沖涼 有高跟鞋 性感制服 學生裝 /jk小短裙 一級靚鮑魚 少毛 緊如處女/上下粉嫩 甜美可愛 好得意 新人面孔 初黎港 歡迎新黎調教 聽教聽話 🥰 📱 寶哥 ☎️電話+85296712038 ✈️ 睇圖頻道 t.me/hk12Queen ✈️ 賽後好評 t.me/xgirls1234 🤓🤓🤓🤓 @xgirlsfood0

28 Aug 2026, 18:30 UTC88 viewsread 29 August 2026
Photo

No.1品牌鎖定 🔠 美少女食堂 🐶囡囡: T 1325 長腿空姐 「尖沙咀 君怡酒店 」 💥大长腿空姐 超靓相头 兼職 似明星朱茵/初次来港高跟鞋/身材高挑/🐻天然大波呦靚 清純 皮膚白滑 瘦低無腩 身高 173 年紀 18 胸围 D杯 家用:💵1600 服務:有車 陸九 環保吹 波推吞推水蕭陪沖涼 🉑過夜🉑飛🉑外出 📱 寶哥 ☎️電話+85296712038 ✈️ 睇圖頻道 t.me/hk12Queen ✈️ 賽後好評 t.me/xgirls1234 🤓🤓🤓🤓 @xgirlsfood0

28 Aug 2026, 18:30 UTC74 viewsread 29 August 2026
Photo

No.1品牌鎖定 🔠 美少女食堂 🐶囡囡:T 闺蜜雙飛 「尖沙咀 君怡酒店 」 幻幻雙飛,閨蜜姐妹,好配合 聽話聽教,主動服務,主動親😘 身高168 / 163 年纪 18 胸围 D 家用:💵3200 ➕1000🈚🍑 服務:大車 69環保吹 波推吞推水蕭陪沖涼 🉑過夜🉑飛🉑外出 🉑增值服务⬇️ 颜射單個+300 不露脸拍單個+500 📱 寶哥 ☎️電話+85296712038 ✈️ 睇圖頻道 t.me/hk12Queen ✈️ 賽後好評 t.me/xgirls1234 🤓🤓🤓🤓 @xgirlsfood0

Showing the 9 most recent of 9 posts we hold for @hk12Queen. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“尖沙咀Q·美少女食堂HG預約” (@hk12Queen), 933 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/hk12Queen.

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.