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Channel

思思spa

@sisispa88

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

1,621subscribers

+15 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-1002238140184
TypeChannel
Username@sisispa88
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/sisispa88

Growth

1,6061,6211,613.57 August 2026 — 1,606 subscribers7 August 2026 — 1,606 subscribers7 August 2026 — 1,609 subscribers10 August 2026 — 1,611 subscribers14 August 2026 — 1,607 subscribers17 August 2026 — 1,614 subscribers20 August 2026 — 1,613 subscribers24 August 2026 — 1,618 subscribers27 August 2026 — 1,615 subscribers30 August 2026 — 1,621 subscribers7 August 202630 August 2026
10 measurements spanning 23 days, net +15. 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 1,604–1,623 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 14:541,621+6
27 Aug 2026, 10:071,615-3
24 Aug 2026, 01:471,618+5
20 Aug 2026, 00:441,613-1
17 Aug 2026, 10:561,614+7
14 Aug 2026, 00:151,607-4
10 Aug 2026, 15:531,611+2
7 Aug 2026, 18:531,609+3
7 Aug 2026, 16:481,606no change
7 Aug 2026, 14:131,606first reading

Engagement

14 posts held, back to 23 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.0%
avg views ÷ 1,621 subscribers
Avg views / post
244
5 posts measured
Reaction rate
0.44%
reactions ÷ views · ER floor
Posts in window
5
of 14 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 2 of 5 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 7 August 2026
Posts held14 (23 May 20267 August 2026)
Views total1,219
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:48 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
10s
Average length
10s

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.

Reaction mix

27 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27100.0%

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 11 of the 14 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 23 May 2026 to 7 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

7 Aug 2026, 00:53 UTC171 viewsread 7 August 2026
Photo

❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️ 🔥🔥特別推薦💥💗60mins Nuru雙飛優惠❗️ Spa雙飛優惠❗️ 💗💗囡囡任意配搭💃💞🌈 💗💗(開大免問) 預約電話☎️66617858 ♻️♻️♻️♻️♻️♻️♻️♻️♻️♻️ 思思Spa全部保障HK身分證💁‍♀️陀地靓女大波💯💯 營業時間24小時💁‍♀️ 🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥 地址➡️太子B2出口始創中心衛訊對面花園餐廳隔離 ♻️♻️♻️♻️♻️♻️♻️♻️♻️♻️ ㊙️㊙️㊙️㊙️㊙️㊙️㊙️㊙️㊙️ 呢排多咗好多新囡囡💁‍♀️ 7/8囡囡返工名單👇🏻👇🏻👇🏻 ❤️❤️❤️❤️❤️❤️❤️ ❤️開工大吉❤️ 最新溫柔體貼超大波⏩️#貝貝 超正天然大波妹38 C⏩️#丹丹 混血兒天然大波白滑⏩️#淇淇 26歲細粒清純美少女⏩️#菲菲 清純身型白滑細粒靚女⏩️gigi 天然大真胸揼骨超正⏩️#KK 清純天然大波靚妹⏩️#Angela(休)

6 Aug 2026, 06:16 UTC198 views1 reactionsread 7 August 2026
Video

思思Spa有女有房💃 隨時可以預約😍 好多靚妺等緊C兄調教😋😍 ❤️❤️❤️❤️❤️❤️❤️❤️❤️ 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat 思思送大禮🙏 各位仁兄🩷歡迎預約🩷 思思spa隆重推出3周年免費送大禮活動🎉📣 推龍筋全場免費🔥✅ 包括雙飛優惠活動大減價❤️ 唔好走失寶✅✅ 全場美女送1個雙飛八八折🎉🎉

1

6 Aug 2026, 01:28 UTC257 views1 reactionsread 7 August 2026
Photo

❤️新氣質天然大胸❤️#貝貝 超級女人味161cm 重45kg 天然大胸34 D 鄰家女孩🥰素顏美貌如若天界下凡,白滑至極點,白裡透紅,毫無瑕疵😘鵝蛋臉,五官溫柔動人😍之前學中醫出生👍👍按摩穴位一流🫶值得👍 内在粉色,膚白滑如下雪,喜愛白肉、鐘意粉嫩,必試。天生麗質,服務品牌保證。前後陪衝 ♻️大車🥰 歡迎哥哥預約👏👏👏 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat

1

4 Aug 2026, 02:50 UTC439 viewsread 7 August 2026
Photo

❤️新氣質天然大胸❤️#丹丹 超級女人味159cm 重45kg 天然大胸38C 鄰家女孩🥰素顏美貌如若天界下凡,白滑至極點,白裡透紅,毫無瑕疵😘鵝蛋臉,五官溫柔動人😍之前學中醫出生👍👍按摩穴位一流🫶值得👍 内在粉色,膚白滑如下雪,喜愛白肉、鐘意粉嫩,必試。天生麗質,服務品牌保證。前後陪衝 ♻️大車🥰 歡迎哥哥預約👏👏👏 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat

3 Jul 2026, 14:37 UTC≈2,740 views2 reactionsread 7 August 2026
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代朵兒感謝哥哥支持😘 公司紅牌服務各方面真係有驚喜👍👍斯文又靚女嗲聲嗲氣👍真人靚過上鏡❤️ 五星級服務質素全太子第一👍👍 感謝各位哥哥約🙏

2

19 Jun 2026, 12:31 UTC≈3,400 views2 reactionsread 7 August 2026
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代月月多謝哥哥好評😘 感謝親愛的哥支持無比幸福😍 月月竹筍粉紅波👍 服務超好👍Lu更加正爆😍😍 值得各位C兄約👍 驚喜五重天👍👍隆重推介✌️✌️✌️

2

19 Jun 2026, 12:30 UTC≈3,120 views3 reactionsread 7 August 2026
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今日隆重推薦靚妹❤️# 月月 新女靚妹半陀😍163㎝42kg 天然粉紅34C溫柔乖巧 😘女朋友feel超強👍👍笑容甜美💕👍面尖尖+大眼睛 蜜桃臀 女神級別💃零防守 乜都🉐️超正 🥰樣樣掂👍公司推出值得一試👍👍笑聲甜美淫蕩pat pat真係靚到爆👍真人過影相 絕對爽👍🏻👍🏻 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat

3

15 Jun 2026, 06:30 UTC≈2,950 views2 reactionsread 7 August 2026
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代朵兒多謝哥哥好評😘 哥哥第一次過嚟做非常滿意👍 服務優質身型靚又溫柔100分 無論如何都全場有驚喜👄 感謝各位哥哥支持🙏祝大家身體健康

2

13 Jun 2026, 05:21 UTC≈2,950 views3 reactionsread 7 August 2026
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🌸🌿🌿🌿🌿🌿🌿🌿🌿🌿🌸 🥕新到細粒小妖精 #琪琪🥕 158cm/43kg天然34 C😍 細粒白滑年輕精靈小妖精☺️鬼馬性格惹人愛👧🏻白滑肌膚纖巧長腿👙聽教聽話服務細心🥰全清nuru💦♻️💋備有不同車牌🚗歡迎預約查詢😘😘😘 #前後浴 #走肥 #熱情 #GFF #大波 #沉船之選 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat 🌸🌿🌿🌿🌿🌿🌿🌿🌿🌿🌸

3

2 Jun 2026, 07:08 UTC≈4,040 views3 reactionsread 7 August 2026
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今日隆重推薦❤️# Gigi 純新女😍161㎝43kg天然34C溫柔乖巧 😘女朋友feel超強👍👍笑容甜美💕👍面尖尖+大眼睛 蜜桃臀 女神級別💃零防守 乜都🉐️超正 揼骨 nuru技術高超🥰🥇🥇有🚗牌 樣樣掂 絕對爽👍🏻👍🏻哥哥提前預 約哦預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat

3

2 Jun 2026, 07:08 UTC≈3,620 views2 reactionsread 7 August 2026
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新人清純細粒❤️#菲菲❤️ 26歲靚妺真人堅靚👀真人真相, 清純可愛😊性感乖巧迷人😍,皮膚超白滑👍👍🥰身高161cm,天然34 B波,白滑靚波柔軟好扎手,纖細長腿💃,波嫰肉滑,體態誘人😘,口技高超毫無齒感,簡直人間極品西施.令人欲生欲死.🥶🥶試過一定難忘👍😍 公司紅牌手選❤️ 🉑️小車🚗😋👄♻️ 預約電話☎️66617858 TG:https://t.me/sisispa88 客服預約 @sisispachat

2

Showing the 12 most recent of 14 posts we hold for @sisispa88. 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.

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“思思spa” (@sisispa88), 1,621 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/sisispa88.

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.