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Telegram profile photo for Moon Spa💞 睇相號 灣仔

Channel

Moon Spa💞 睇相號 灣仔

@moonspa188

On this record: Growth · Engagement · Posts · Citations · Cite this entry

4,888subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001530227698
TypeChannel
Username@moonspa188
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 27 August 2026
On Telegramt.me/moonspa188

Growth

4,8834,8934,8887 August 2026 — 4,893 subscribers7 August 2026 — 4,893 subscribers10 August 2026 — 4,890 subscribers20 August 2026 — 4,883 subscribers24 August 2026 — 4,888 subscribers7 August 202624 August 2026
5 measurements spanning 17 days, net -5. 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 4,882–4,895 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 10:164,888+5
20 Aug 2026, 12:534,883-7
10 Aug 2026, 19:434,890-3
7 Aug 2026, 19:214,893no change
7 Aug 2026, 12:484,893first reading

Engagement

43 posts held, back to 28 May 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 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.225%
avg views ÷ 4,888 subscribers
Avg views / post
11.0
29 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
29
of 43 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 12 August 2026
Posts held43 (28 May 202612 August 2026)
Views total319
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:10 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.

Recent posts

12 Aug 2026, 05:06 UTC1 viewsread 12 August 2026

❤️有位 而家有12美女返工,哥哥快點過來選! Tg預約:@moonspa168

11 Aug 2026, 16:19 UTC43 viewsread 12 August 2026
Photo

新品上架 氣質女神🔥🔥#詩婷 21歲😍36C明星相頭,同區少有,皮膚白滑,瘦底走肥 笑容甜美服務超貼心,body nuru💦吹口爆💥69 陪冲🚿 水中嘯,任玩任舞!揼得玩得又好傾!服務好,口爆專家!一試難忘!劲多回頭客,服務有驚喜可解鎖🔐 翻食率100% 必試佳品❤️❤️❤️ Telegram預約:@moonspa168

11 Aug 2026, 16:19 UTC41 viewsread 12 August 2026
Photo

新女🔥🔥#小米粒 💋新登場,絕對靚女明星相頭🥰,皮膚白滑,34D水滴波型靚👙,前後侍浴🛁,服侍周到,激情大車💋,吹功 一流,癡女一名淫底多水多汁💦 可body Nuru吹,環保口爆69,按摩揼骨超專業,任玩任舞不格手,「 服務有保證」男潮吹,放風箏⚡️有一手,服務態度💯分。必食推介!番食率100% 一試難忘! Tg睇相號:@moonspa188 客服預約:@moonspa168

11 Aug 2026, 16:19 UTC24 viewsread 12 August 2026
Photo

🌸#新女推介 #小小 #19歲幼幼 😍靚相頭 真人相😋36C天然杯,前凸後翹,聽教聽話,骨技精湛,服務態度像極初戀女朋友,激情大車,👅👅吹功一流,又淫底大食,食完念念不忘,回味無窮❗服務🉑69,🉑車,nuru,360度任玩冇難度,超敏感多汁待浴細心🛁,本店必試之選🤔短期供应❤️ 客服預約:@moonspa168 Tg睇相號:@moonspa188

9 Aug 2026, 00:09 UTC1 viewsread 9 August 2026
Photo

新品上架 氣質女神🔥🔥#詩婷 21歲😍36C明星相頭,同區少有,皮膚白滑,瘦底走肥 笑容甜美服務超貼心,body nuru💦吹口爆💥69 陪冲🚿 水中嘯,任玩任舞!揼得玩得又好傾!服務好,口爆專家!一試難忘!劲多回頭客,服務有驚喜可解鎖🔐 翻食率100% 必試佳品❤️❤️❤️ Telegram預約:@moonspa168

9 Aug 2026, 00:09 UTC1 viewsread 9 August 2026

❤️有位 而家有12美女返工,哥哥快點過來選! Tg預約:@moonspa168

8 Aug 2026, 17:23 UTC1 viewsread 8 August 2026

❤️有位 而家有12美女返工,哥哥快點過來選! Tg預約:@moonspa168

Showing the 12 most recent of 43 posts we hold for @moonspa188. 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 — 1,481,712 of 1,622,561entries 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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“Moon Spa💞 睇相號 灣仔” (@moonspa188), 4,888 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/moonspa188.

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.