================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 廣珅(明珠)水會 地址:深圳市羅湖區和平路柏高酒店3樓 路綫:羅湖地鐵站E1出口步行約4分鐘 點評:羅湖口岸附近超級老字號水會,以前叫明珠,曾經非常火爆,基本上玩過水會嘅師兄都知呢間場。依家重新裝修,環境靚咗好多,配套設施亦多咗,包括新增桌球台、各式面包點心、牛奶水果等,夜晚有大量房間過夜,以前經常幫襯嘅師兄,可以過來敘下舊了 客服WhatsApp:http://wa.me/+85259971332

Channel
深港水療娛樂頻道
@SKENTC
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7,515subscribers
+29 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 | -1001810860592 |
|---|---|
| Type | Channel |
| Username | @SKENTC |
| Description | 群组:https://t.me/SKENTG |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/SKENTC |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 20:06 | 7,515 | +8 |
| 17 Aug 2026, 12:28 | 7,507 | +4 |
| 13 Aug 2026, 23:37 | 7,503 | +3 |
| 10 Aug 2026, 21:41 | 7,500 | +11 |
| 8 Aug 2026, 06:06 | 7,489 | +3 |
| 7 Aug 2026, 18:16 | 7,486 | no change |
| 7 Aug 2026, 18:04 | 7,486 | first reading |
Engagement
12 posts held, back to 2 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 13 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.18%
- avg views ÷ 7,515 subscribers
- Avg views / post
- 615
- 12 posts measured
- Reaction rate
- 0.142%
- reactions ÷ views · ER floor
- Posts in window
- 12
- 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. It is computed over the 3 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 12 (2 August 2026 – 22 August 2026) |
| Views total | 7,378 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 21:45 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
- Photos
- 185
- Videos
- 6
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 22 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
- 26s
- Average length
- 9s
Measured directly from 3 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
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 4reactions 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 2 August 2026 to 22 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
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 沐晨水會 地址:深圳市羅湖區和平路1076號(亞朵酒店後面) 路綫:國貿地鐵站E出口步行約6分鐘 點評:羅湖區和平路星級酒店水療會所,國貿站行過去幾分鐘就到,全場星級裝修,環境寬敞大氣,星空頂大廳,房區有接近50間房可以過夜,免費自助餐、簡餐、水果飲品,綜合來講值得推薦 客服TG群組:@MuChenShuiHuiG
❤1
================= 頻道:@SKENTC 群組:@SKENTG ================= 類型:水會 地區:羅湖 昵稱:風也溫柔 簡介:年輕漂亮妹子一枚,身高163CM左右,身材高挑苗條完全無贅肉,平時有健身,性感馬甲綫,絕美蜜桃翹臀,性格開朗,配合度高,舌頭靈活,能粵語溝通,全能服務型,絲足女王
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 雲朗搓澡SPA 地址:深圳市羅湖區人民南路新安大廈5樓 路綫:國貿地鐵站C出口步行約2分鐘 點評:深圳羅湖區新開業SPA會所,正宗東北搓澡按摩,全新泰式風格裝修,環境優雅舒適,氛圍感拉滿,私密性強,非常適合商務男士休閑保健 客服TG頻道:@YunLangChannel 客服TG群組:@YunLangGroup 客服WhatsApp:https://wa.me/+85298846054
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 喜馬水會 地址:深圳市羅湖區深南東路2105號中建大廈3樓 路綫:湖貝地鐵站F出口一出站即到 點評:深圳市羅湖區向西村附近星級水療會所,占地超過30000平方尺,裝修高端大氣,消費推油項目送自助餐、KTV包廂、棋牌室、中泰式按摩,店内超過60個專業技師,樓下有專屬停車場,非常方便
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 金水灣國際水匯 地址:深圳市羅湖區江背路與沿河南路交叉口 路綫:向西村地鐵站A2出口步行約7分鐘 點評:深圳市羅湖區水療會所,佔地面積接近20000平方尺,裝修企理,環境舒適,大廳設有星空頂,冲涼房有汗蒸同埋按摩水池,其他設施包括足浴包房、按摩房、預約餐廳、KTV包廂等,送自助餐、零食、水果、飲品等,目前優質團隊入駐,綜合體驗相當不錯
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 順泰華水療養生館 地址:深圳市羅湖區春風路雲景豪園2層201室 路綫:向西村地鐵站B出口步行約1分鐘 點評:羅湖區向西村附近一間休閑會所,裝修企理,環境乾净舒適,有一間KTV包廂,大廳有大堂項目,免費送公仔面餐、公司三文治、飲料水果等,綜合來講整體OK,值得一試
===================== 頻道:@SKENTC 群組:@SKENTG ===================== 類型:水會 地區:羅湖 昵稱:晓晓 簡介:骚气艳舞达人,丰满型身材,36C大灯,圆润大臀,皮肤白皙嫩滑,可粤语交流,丝袜情趣制服,调情一流,女朋友感觉 囡囡TG群組:@XiaoXiaoXA9999
================= 頻道:@SKENTC 群組:@SKENTG ================= 類型:水會 地區:羅湖 昵稱:橙子 簡介:00后小姐姐,圓臉,身高160cm,babyfat,肉感身材有弧度,屁股翹而有彈性,B級燈,有公仔,性格好,技術流,可0011
❤2
================= 頻道:@SKENTC 群組:@SKENTG ================= 類型:水會 地區:羅湖 昵稱:cat 簡介:清冷御姐一枚,氣質型,美瞳大眼,平時有健身,性感馬甲綫,身形體態好,女友感,性格好,配合度高,技術流天花板,可0011
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 富臨水會 地址:深圳市羅湖區和平路富臨大酒店3P樓 路綫:羅湖口岸出關直行,行到尾走和平路隧道,出隧道過馬路左手邊就見到 點評:羅湖口岸附近老字號水會,開咗好多年,中途有翻新過一下,相信以前好多師兄都幫襯過,配套方面有乾蒸房、濕蒸房、桌球、棋牌室、KTV房等,餐食有公仔面簡餐、茶葉蛋、老火靚湯、水果飲品等,房間比較多,過夜唔怕冇房 客服TG群組:@FulinClub519
================= 頻道:@SKENTC 群組:@SKENTG ================= 羅湖區 - 順泰華水療養生館 地址:深圳市羅湖區春風路雲景豪園2層201室 路綫:向西村地鐵站B出口步行約1分鐘 點評:羅湖區向西村附近一間休閑會所,裝修企理,環境乾净舒適,有一間KTV包廂,大廳有大堂項目,免費送公仔面餐、公司三文治、飲料水果等,綜合來講整體OK,值得一試
❤1
Showing the 12 most recent of 12 posts we hold for @SKENTC. 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
Names
Channels on the register whose handles appear in this channel's posts.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“深港水療娛樂頻道” (@SKENTC), 7,515 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/SKENTC.
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.