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Channel

雙兒🧏🏻‍♀️護理室💆🏻‍♂️

@Nanamassage888

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

2,589subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001458495144
TypeChannel
Username@Nanamassage888
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 17 August 2026
On Telegramt.me/Nanamassage888

Growth

2,5842,5932,588.57 August 2026 — 2,593 subscribers7 August 2026 — 2,593 subscribers7 August 2026 — 2,591 subscribers10 August 2026 — 2,584 subscribers14 August 2026 — 2,589 subscribers2,5897 August 202614 August 2026
5 measurements spanning 7 days, net -4. 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 2,583–2,594 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:172,589+5
10 Aug 2026, 20:322,584-7
7 Aug 2026, 18:402,591-2
7 Aug 2026, 11:312,593no change
7 Aug 2026, 11:212,593first reading

Engagement

8 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.6%
avg views ÷ 2,589 subscribers
Avg views / post
377
8 posts measured
Reaction rate
this channel exposes no reaction counts
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held8 (20 July 20267 August 2026)
Views total3,017
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:34 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
59s
Average length
59s

Measured directly from 1 video 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

7 Aug 2026, 02:03 UTC71 viewsread 7 August 2026
Photo

🆔 店家ID:54 🏠 店名:雙兒護理室 🏢 #九龍區 #個人工作室 🗺️ 地點:尖沙咀 🏷️ 標籤:#尖沙咀 #A1出口 #樂道 #華源大廈 #P2 #開大免問 #恕不回覆 #按摩 #Nuru #抓龍根 #美女 #日本㗎妹樣 #溫柔 #笑容甜美 #聲音好聽 #服務非常好 #一對一 #貼身服務 前往龍虎榜投票活動 https://t.me/mantiger_Popularity/48378 (連結本月有效)

5 Aug 2026, 04:31 UTC194 viewsread 7 August 2026
Photo

#尖沙咀 #工作室 #report #群內師兄 #代出報告 店/工作室TG: @Nanamassage888 店/工作室名:雙兒護理室 囡囡:雙兒 男人之虎巴打評分: 呢排返工真係好攰,想認真搵個地方揼吓骨。聽講雙兒手勢好好,於是決定上去試吓,果然冇揀錯。 P1按摩推油非常到位,特別係我最近特別企得多,對腳尤其攰,雖然按大髀筋嗰陣有啲酸痛,但嗰種酸爽過後,成條筋都鬆晒,按完一輪真係能夠清走晒身上嘅疲勞。 到咗P2,小弟本身比較敏感,有時可能一分鐘就已經頂唔順。雙兒先幫我抓龍筋,再試吓做脫敏,仲畀咗啲加強自控能力嘅建議我。今次竟然俾佢摸到硬足半個鐘,真係第一次有咁嘅體驗。最後佢好溫柔咁幫我順利完事,事後仲仔細幫我沖身,好貼心。 整體嚟講,雙兒好溫柔,服務好好,每一part都好令人滿意。遲啲有機會一定會再上去保養吓 👍🏻👍🏻 想睇更多報告🉑️入去 報告區👇🏻👇🏻👇🏻 @mantigereport

3 Aug 2026, 04:12 UTC250 viewsread 7 August 2026
Photo

雙兒的抓龍根技術 大受歡迎👏🏻👏🏻 極力推薦各位哥哥值得一試 保養的重要性✨✨

3 Aug 2026, 04:12 UTC244 viewsread 7 August 2026
Photo

#包膠 店名 : 雙兒護理室 之 踩背鬆筋記 早前天氣驟寒, 脊椎肌肉又有點僵硬了, 又再找雙兒鬆一鬆。 雙兒除咗按摩手勢靈巧,踩背其實都有獨到之處 。 我問佢踩背點學成? 原來佢早期跟一個台灣姊妹學的。那是一個台灣女子嫁到大陸,婚姻不满,輾轉流落香港重操故業的故事了。 雙兒先用腳掌均勻地,輕輕 在背部按摩,似乎為背肌鬆弛熱身 。 然後佢就開始由大腿,滑八字至臀部,再上背。 然後又用腳趾響肩胛附近揉揑 ,腳趾就重點地在上背, 腳踭就在腰部兩側肌肉上挫壓 。 雙兒一邊踩,一邊講解各種踩背招式,我整個背部,就好似一片草坪, 雙兒就似在上面輕快舞動,而我每吋肌膚都感受到嗰種撫慰。 跟住雙兒就使出滑嘅招數, 將背肌向外舒壓,由於腳掌面積畀手掌大, 所以感受到嘅力量平均,按壓力量增強,深層嘅肌肉酸痛得到舒緩。 最後,係雙兒鬼馬地用腳趾挑逗股罅以至細佬,我就不太好呢味,不過我相信如果佢穿上絲襪用腳玩弄,都應該有師兄捧場。

30 Jul 2026, 03:21 UTC406 viewsread 7 August 2026
Photo

#尖沙咀 #A1出口 #樂道 #華源大廈 #P2 #開大免問 #恕不回覆 #按摩 #Nuru #抓龍根 #美女 #日本㗎妹樣 #溫柔 #笑容甜美 #聲音好聽 #服務非常好 #一對一 #貼身服務 🎀🧏🏻‍♀️雙兒✨護理室💆🏻‍♂️🎀 營業時間🧏🏻‍♀️:👇🏻👇🏻 12:00am - 9:00pm (星期日休息) 🙇🏻‍♀️ 查詢預約TG:@nana520_888 客服上缐時間😝 每日11:00 - 21:00 請勿無故放飛機✈️ 將會永遠拉黑🙇🏻‍♀️🙇🏻‍♀️

24 Jul 2026, 03:53 UTC624 viewsread 7 August 2026

#EK小報告 #尖沙咀 店/工作室:雙兒護理室 TG: https://t.me/Nanamassage888 囡囡:雙兒 評分:10 身材:10/10 服務:10/10 過程:年紀有冇咁上下,想做下維修保養,問下師兄們有冇咩推介,最後揀約雙兒💕 早左小小到達,可以早啲上去就直衝,㩒鐘開門,見到靚靚雙兒迎接💕 入房解甲,雙兒主動幫手掛衫,自取其浴,出嚟雙兒細心幫抹身💕 先按摩,夠力水!重要到位~按嘅時候雙兒發覺要踩先鬆得徹底,所以就嚟喇~ 踩完真係鬆曬,緊嘅地方冇曬 之後到戲玉-抓龍筋 推淋巴,再前前後後幫你細佬鬆暈曬 雖然係有啲冤痛,但係好舒服💕 之後做nuru,💕,師兄之前有講嘅野我就唔講喇,好正💕 最慘係比雙兒搵我嘅弱點😮‍💨大件事…… 最後係佢手腳口(車我弱點)下出左 因為抓完龍筋,出得特別多~ 但係感覺好舒服💕 之後一齊沖涼,著返衫傾左一陣,就俾家用走人 家用: 1200+tips (90分鐘) 感受:

Showing the 8 most recent of 8 posts we hold for @Nanamassage888. 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“雙兒🧏🏻‍♀️護理室💆🏻‍♂️” (@Nanamassage888), 2,589 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Nanamassage888.

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.