🇻🇳🎉全新大波後生女#fifi 而家有位

Channel
海洋hotel
@Oceanhotel
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,815subscribers
+1,073 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001678084303 |
|---|---|
| Type | Channel |
| Username | @Oceanhotel |
| Description | 酒店https://t.me/Oceanhotel 我哋喺尖沙咀同一班越南後生有服務地方乾淨一次性毛巾,12:00-01:00 $900-1200 預備頻道:https://t.me/yauyuet3 |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Oceanhotel |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:43 | 17,815 | -27 |
| 12 Aug 2026, 01:02 | 17,842 | -24 |
| 11 Aug 2026, 02:35 | 17,866 | -8 |
| 10 Aug 2026, 02:11 | 17,874 | -979 |
| 9 Aug 2026, 03:53 | 18,853 | +2,126 |
| 8 Aug 2026, 04:23 | 16,727 | -15 |
| 7 Aug 2026, 11:01 | 16,742 | first reading |
Engagement
91 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.529%
- avg views ÷ 17,815 subscribers
- Avg views / post
- 94.2
- 91 posts measured
- Reaction rate
- 0.232%
- reactions ÷ views · ER floor
- Posts in window
- 91
- of 91 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 11 of 91 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 91 (7 August 2026 – 13 August 2026) |
| Views total | 8,575 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 14:27 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
- 206
- Videos
- 9
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 13 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
- 4m 30s
- Average length
- 30s
Measured directly from 9 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 4 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 11 of the 91 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 91 most recent posts we hold, published 7 August 2026 to 13 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
🇯🇵大波日本妹19歲miwa 而家有位🤙
Photo, posted without a caption
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🎉全新Rita 日本妹,而家有位🇯🇵🙏
🉐🇯🇵#Rina #日本妹 👍🎉
❤1
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❤1
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❤️#韓國妹Jina好評勁多👍❤️哥哥唔試就走寶🇰🇷🇰🇷🥰
健身中心:海洋 健身教練:Jina韓國人 首先我識少少韓文可以同佢溝通到好彩. 相頭:8/10長髮眼大鼻高靚21-22囡囡,女人味可愛 身材:10/10 162高,陳財fit D波淺雲,白滑仲有股,後推超爽 服務:8.5/10 P1 /P2,今日中午,出去開心下,囡囡開門,黑色長裙,身材表露無謂。 一齊拖手沖涼,水蕭服侍叫醒細佬。按背加狗仔簫,不過間房個冷氣唔夠,囡囡都好努力咁做到成身㷫烚烚。加分! P3 今日又谷住,吹到硬一硬,囡囡好勤力,先男上抽插,轉咗幾個男上姿勢都冇詐型 佢對奶上下搖,女下佢都不忙啜到實一實,見佢咁努力,我一手反佢女下係咁挫 佢,淫聲不斷,對白波波搖搖搖,射左,滿意1q 图囡擁有身材堅正,返食必選! 落樓價:1200今日超抵 小插曲/特别分享:正, 健身喜好:靚,一定要靚,白,滑
🎊new推介Korea #韓國妹 #Jina 運動場:#海洋 地區:#尖沙咀 家用: $1200/45min/1Q $2200/90min/2Q 類型:hotel 囡囡:#20歲韓國妹真人相 賣點:腰細長腿🥰美臀亮波😍黃金比例👍鮑魚緊窄多汁😋溫柔水多😍態度幾好👏掃股調情好正🈶深喉水簫🈶全身慢遊🈶細心待浴🉑love,第一次嚟香港短期供應 身材評分:蛇腰瘦低,天然大波,直直籤細美腿🦵水汪汪大眼睛👀166cm45kg34C 直接聯繫餐廳: https://t.me/oceanhotelbooking https://t.me/Gemkiss168 頻道:https://t.me/Oceanhotel WhatsApp:60848799 💞💞💞💞💞💞💞💞
Showing the 12 most recent of 91 posts we hold for @Oceanhotel. 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 — 402,174 of 1,183,361entries 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
Named by 4 registered channels — 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“海洋hotel” (@Oceanhotel), 17,815 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Oceanhotel.
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.