新女#Rihanna好評😍😍

Channel
Fairy spa ❤️ Central
@Fairyspa888
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,831subscribers
+13 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 | -1001872724146 |
|---|---|
| Type | Channel |
| Username | @Fairyspa888 |
| 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 | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Fairyspa888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:29 | 3,831 | +12 |
| 11 Aug 2026, 06:23 | 3,819 | +4 |
| 7 Aug 2026, 23:54 | 3,815 | -3 |
| 7 Aug 2026, 10:15 | 3,818 | no change |
| 7 Aug 2026, 10:04 | 3,818 | first reading |
Engagement
13 posts held, back to 7 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.06%
- avg views ÷ 3,831 subscribers
- Avg views / post
- 117
- 13 posts measured
- Reaction rate
- 0.275%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 13 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 1 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 13 (7 August 2026 – 8 August 2026) |
| Views total | 1,523 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:11 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 7 August 2026 to 8 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
中環Fairy spa假期所有項目🈶優惠。推出45min Plan,雙飛姐妹花特價 送 #專業采耳,#抓龍筋。 #天然巨乳, #服務王牌莞式服務 。俻一次性性感黑絲,性感制服。一次性浴巾床單。😍歡迎預約 🥰查詢預約客服💁♀ ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: @Fairyspa88
新晉服務王 🤩 #Kaka 168高瘦36D,氣質型,第一眼唔驚豔,越睇越靚女果种。好用心好努力 未系其它場出現過,#服務好,調情高手服務王,,#返食率高👍手骨正,調情RPP手法正。#沉船 #女友 feel #模特身材,瑜伽老師 #身高168cm 長腿 #Model #長腿腿模 幼腰長腿,完美笑容 高顏值,身材好,前凸後翹 笑容甜 嬌嗲淫底 #鍾意長腿高妹服務好🉑試 🥰查詢預約客服💁♀ ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: @Fairyspa88
推薦超級高質靚幻 🥰 #靚靚 #明星臉,真人靚過相,白紙天花板,#但系超配合, #真零零後,天然高級臉,後生囡囡啱入行,#高質靚相頭幻幻19歲,168cm高挑,天然36D粉紅lin😍😍,皮膚超白,白到發光,新人新入行怕醜醜,年輕貌美,初戀情人感覺 ,皮膚超級白滑嫩☺️☺️, #三點粉紅😍, #粉紅乳頭👍。 #粉紅靚鮑魚🥰🥰,多熟客搵,#沉船,真係正到爆 😝😝 ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: https://t.me//Fairyspa88
kaka好評👍👍
靚校花 #Emma好評😍
新晉服務王 🤩 #Kaka 168高瘦36D,氣質型,第一眼唔驚豔,越睇越靚女果种。好用心好努力 未系其它場出現過,#服務好,調情高手服務王,,#返食率高👍手骨正,調情RPP手法正。#沉船 #女友 feel #模特身材,瑜伽老師 #身高168cm 長腿 #Model #長腿腿模 幼腰長腿,完美笑容 高顏值,身材好,前凸後翹 笑容甜 嬌嗲淫底 #鍾意長腿高妹服務好🉑試 🥰查詢預約客服💁♀ ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: @Fairyspa88
宜家🈶🏠🈶女🥰😜
推薦超級高質靚幻 🥰 #靚靚 #明星臉,真人靚過相,白紙天花板,#但系超配合, #真零零後,天然高級臉,後生囡囡啱入行,#高質靚相頭幻幻19歲,168cm高挑,天然36D粉紅lin😍😍,皮膚超白,白到發光,新人新入行怕醜醜,年輕貌美,初戀情人感覺 ,皮膚超級白滑嫩☺️☺️, #三點粉紅😍, #粉紅乳頭👍。 #粉紅靚鮑魚🥰🥰,多熟客搵,#沉船,真係正到爆 😝😝 ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: https://t.me//Fairyspa88
❤1
沉船天然紅牌 #Lilia今日余2個空位😍🧚♀🧚♀3.30-5.00🉑約,哥哥們拼手速啦🤣行過路過,唔好錯過啦😍 幻幻新女學生妹 #Rihanna🔥 校花 #Emma🈶位🔥
宜家🈶🏠🈶大波,🈶幼幼校花😍😍
沉船紅牌服務 #Lilia 😍😍二頭妹妹160cm 45kg瘦底真波C 皮膚白滑,小鳥依人女友feel🤩自動波,撚雀手勢出色😜可做nuru熱情好服務😘,手骨好。#超多好評,#返食客超多,#沉船 #女友feel爆燈👍👍 笑容好 態度好 聲音導航引死人,超投入,有真feel 傾得玩得😍又一個好服務妹妹😍 女朋友feel十足 🥰 哥哥快黎約😍😍 🥰查詢預約客服💁♀ ☎️電話 / Whatsapp : 59410482 👩💻TG 預約 : @Fairyspa666 👩💻TG睇相頻道: @Fairyspa88
Showing the 12 most recent of 13 posts we hold for @Fairyspa888. 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 — 58,426 of 1,481,217entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
“Fairy spa ❤️ Central” (@Fairyspa888), 3,831 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Fairyspa888.
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.