Telegram RegisterThe public register of Telegram

Channel

RX Hotel 0 menu

@RXhotel0

On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

6,152subscribers

+103 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002992934881
TypeChannel
Username@RXhotel0
Created4 November 2025measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/RXhotel0

Growth

6,0496,1526,100.56 August 2026 — 6,049 subscribers7 August 2026 — 6,056 subscribers10 August 2026 — 6,089 subscribers13 August 2026 — 6,152 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +103. 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 6,034–6,167 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:386,152+63
10 Aug 2026, 11:276,089+33
7 Aug 2026, 04:426,056+7
6 Aug 2026, 20:166,049first reading

Engagement

27 posts held, back to 4 November 2025the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.9%
avg views ÷ 6,152 subscribers
Avg views / post
1,900
26 posts measured
Reaction rate
0.038%
reactions ÷ views · ER floor
Posts in window
26
of 27 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 19 of 26 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 11 August 2026
Posts held27 (4 November 202511 August 2026)
Views total49,464
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:33 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

14 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14100.0%

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

Measured over the 27 most recent posts we hold, published 4 November 2025 to 11 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

11 Aug 2026, 20:03 UTC≈1,420 views1 reactionsread 12 August 2026

RX 8月12日 匠心 正菜 菜單 💎 #RX #菜單 🔄 📸 每天相冊 Telegram.me/RX2026 今天10位美女(有美少女.有波霸.有模特.有痴女) 每位囡囡.地點.客服.價錢.服務.各有不同.敬請留意 🔝🐝🔝Bee記🔝🐝🔝 👉🏻CB1👈 #海豚 💰800 痴線巔 T0 CP 緊窄 嬌小 真E pink 尖🏠 👉🏻885👈 #巨乳中EC 💰999 抵! 主打鬆骨 推拿真巨波巨籮 尖🏠 👉🏻457👈 #花之戀 💰1600 極痴 痴女 E+ 強X大車 突襲獨龍 尖🏩 預約以上囡 👉🏻 T.me/Be0852 💗🎓💗iQ妹💗🎓💗 👉🏻526👈 #之戀 💰1400 熟痴女 痴女噴水 突襲獨龍 S舌功 尖🏩 👉🏻441👈 #利君 💰1600 女同 172 超巨大H+ 女同 雙fly 尖🏩 👉🏻442👈 #雨桐 💰1600 女同 178 真E波 巨籮 歐美BBW 尖🏩 👉🏻676👈 #奶妹嘜 💰130

1

10 Aug 2026, 17:10 UTC861 views0 reactionsread 12 August 2026

#美奶茶 真巨G奶 S-slim 3-pink 正過女優 近乎 Tier 0 顏值身材 Tier 0 女友感覺 大靈車 尖沙咀🏩酒店 @iQ852 #美奶茶到了 Apple iphone 用戶請參考 隱藏 link hidden link 👇🏻 +TpqgDySa9LfCTIZ2 前面要加 t.me/ 👆🏻 菜單 👉🏻 @RXhotel0 美奶茶 8月14至18日 留港消費 請安排好時間❤️

10 Aug 2026, 04:26 UTC≈1,210 views1 reactionsread 10 August 2026

RX 8月10日 匠心 正菜 菜單 💎 #RX #菜單 🔄 📸 每天相冊 Telegram.me/RX2026 今天8位美女(有美少女.有波霸.有模特.有痴女) 每位囡囡.地點.客服.價錢.服務.各有不同.敬請留意 🔝🐝🔝Bee記🔝🐝🔝 👉🏻CB1👈 #海豚 💰800 痴線巔 T0 CP 緊窄 嬌小 真E pink 尖🏠 👉🏻249👈 #幻彩 💰1600 新幻 19y 165cm 真36D 鄰家 乖 尖🏩 👉🏻457👈 #花之戀 💰1600 極痴 痴女 E+ 強X大車 突襲獨龍 尖🏩 花之戀 8月11至17日 留港 👉🏻885👈 #巨乳中EC 💰999 抵! 主打鬆骨 推拿真巨波巨籮 尖🏠 巨乳中EC 8月12至18日 留港 預約以上囡 👉🏻 T.me/Be0852 💗🎓💗iQ妹💗🎓💗 👉🏻474👈 #美奶茶 💰1600 極品 T0 真F巨 3-pink slim 大車 尖🏩 👉🏻526👈 #之戀 💰14

1

10 Aug 2026, 03:46 UTC≈1,030 viewsread 12 August 2026

#巨乳中EC 主打 正骨推拿按摩送愛與被愛 反之亦然 重點:性價比全行之冠,highest cost-performance ration,huge bxxbs and huge hips with excellent massage service. Real physical therapist. Best price ever. 真功夫 力量十足 鬆骨一流 真F大波 豐滿巨乳巨臀 雖為MILF、但好舒服 後推女上小心秒S 尖🏠住宅 @be0852 #巨乳中EC到了 Apple iphone 用戶請參考 隱藏 link hidden link 👇🏻 +TpqgDySa9LfCTIZ2 前面要加 t.me/ 👆🏻 菜單 有價&聯絡 👉🏻@RXhotel0 巨乳中EC 由7月29日起 基本單鍾價 由 900 改為 999(巨乳中EC會準備港幣1元銀仔sssss等師兄)。感謝大哥支持 正骨之王 巨乳中EC 巨乳中ec 可雙

9 Aug 2026, 05:58 UTC≈1,290 views1 reactionsread 12 August 2026

童顏巨乳紅牌 #奶妹嘜 極品 18 幻幻 瘦底巨波幼腰 動漫波霸LuoLi/LoLay身材 HG傳奇經典之一 奶妹嘜最特別的地方:穿衣完全不覺波大,一脫勁過AV女優同H動漫大波女主角。最佳視角:您躺平由下而上仰視奶妹嘜對波——兩個字:壯觀。 溫馨提示:奶妹嘜對波神經很敏感,好鍾意您溫柔奶佢對pink lin.佢會好開心.請溫柔慢慢摸/揉/玩.千萬不要大力揸.囡囡會好痛.多謝胸迷理解。 幻幻來說是極品,全天然,全身上下零醫美,零紋身,五官天生標緻,笑起來更加甜美,未去到明星級,但將佢當成女友老婆標準來講,外型係tier 0級數,slim身材,極白滑,三點粉上下pink,pink到接近冇色,一線鮑夠緊窄多水,最重要係對AV level巨波可以玩足一世都唔厭。如果佢早20年在日本東京出世,未必會有蒼老師呢三個字。信RX推介,奶妹嘜真係極品,限時優惠價係性價比天花板,包天包周收埋食是極佳之選,囡囡知慳識儉,收埋黎做老婆都係極佳體驗,識食

1

8 Aug 2026, 13:31 UTC≈1,300 viewsread 12 August 2026

#花之戀 痴女之巔 強X式大車 發自內心的幫您獨龍 P.s. 鍾意插花.每日買新鮮花放房間 尖沙咀🏩酒店 @be0852 #花之戀到了 實拍露點 apple iPhone 用戶請參考 隱藏 link hidden link 👇🏻 +TpqgDySa9LfCTIZ2 前面要加 t.me/ 👆🏻 菜單 👉🏻 @RXhotel0 花之戀 8月11至18日 留港

8 Aug 2026, 13:28 UTC≈1,300 views1 reactionsread 12 August 2026

#利君 35歲 172cm 超巨波H+ (可一口兩lin)高大 肉感 BBW歐美S body 巨波 大籮 痴女.全程自動波 主打女同雙fly 可扮演母女/姊妹(本身係雙性戀女同戀人)痴女.欲望極大.鍾意食佢細妹/囡囡的奶.好享受.甚至肉緊到「一口兩lin」才滿足(sorry,胸迷才明白)。如果這對母女/姊妹/女同戀人過夜,不但會互相揸住對波瞓覺,甚至會將對波放到對方微張開的咀... 情侶的情趣。另外,女女互相大車絕非扮俾你睇,佢地真心like對方,你可能只係配角,負責將您的龍棍,深深喂鮑她們無法滿足的濕穴。 尖沙咀🏩酒店 @iQ852 #利君到了 快閃A片👇🏻 +TpqgDySa9LfCTIZ2 前面要加 t.me/👆🏻 利君 與 雨桐 (同性戀人)8月10至17日 留港消費一周

1

8 Aug 2026, 13:28 UTC≈1,250 viewsread 12 August 2026

#雨桐 All Natural 高大 肉感 BBW 26歲 178cm 真大D彈波3-pink 上下粉嫩 歐美S body 大波 世界巨籮 後推小心秒S 緊窄多水 主打女同雙fly 可扮演母女/姊妹(本身係雙性戀女同戀人) 痴女.欲望極大.鍾意食佢家姐/媽媽的奶.好享受.甚至肉緊到「一口兩lin」才滿足(sorry,胸迷才明白)。如果這對母女/姊妹/女同戀人過夜,不但會互相揸住對波瞓覺,甚至會將對波放到對方微張開的咀... 情侶的情趣。另外,女女互相大車絕非扮俾你睇,佢地真心like對方,你可能只係配角,負責將您的龍棍,深深喂鮑她們無法滿足的濕穴。 尖沙咀🏩酒店 @iQ852 #雨桐到了 雨桐 與 利君 (同性戀人) 8月10至17日 留港消費一周

8 Aug 2026, 05:08 UTC≈2,280 views2 reactionsread 8 August 2026

RX 8月9日 匠心 正菜 菜單 💎 #RX #菜單 🔄 📸 每天相冊 Telegram.me/RX2026 今天7位美女(有美少女.有波霸.有模特.有痴女) 每位囡囡.地點.客服.價錢.服務.各有不同.敬請留意 🔝🐝🔝Bee記🔝🐝🔝 👉🏻885👈 #巨乳中EC 💰999 抵! 主打鬆骨 推拿真巨波巨籮 尖🏠 👉🏻CB1👈 #海豚 💰800 痴線巔 T0 CP 緊窄 嬌小 真E pink 尖🏠 海豚 8月10日 留港一周 👉🏻457👈 #花之戀 💰1600 極痴 痴女 E+ 強X大車 突襲獨龍 尖🏩 花之戀 8月11至18日 留港 預約以上囡 👉🏻 T.me/Be0852 💗🎓💗iQ妹💗🎓💗 👉🏻474👈 #美奶茶 💰1600 極品 T0 真F巨 3-pink slim 大車 尖🏩 👉🏻526👈 #之戀 💰1400 熟痴女 痴女噴水 突襲獨龍 S舌功 尖🏩 👉🏻441👈 #利君 💰1600 女同 172

2

7 Aug 2026, 08:06 UTC901 views0 reactionsread 8 August 2026

#雨桐 All Natural 高大 肉感 BBW 26歲 178cm 真大D彈波3-pink 上下粉嫩 歐美S body 大波 世界巨籮 後推小心秒S 緊窄多水 主打女同雙fly 可扮演母女/姊妹(本身係雙性戀女同戀人) 痴女.欲望極大.鍾意食佢家姐/媽媽的奶.好享受.甚至肉緊到「一口兩lin」才滿足(sorry,胸迷才明白)。如果這對母女/姊妹/女同戀人過夜,不但會互相揸住對波瞓覺,甚至會將對波放到對方微張開的咀... 情侶的情趣。另外,女女互相大車絕非扮俾你睇,佢地真心like對方,你可能只係配角,負責將您的龍棍,深深喂鮑她們無法滿足的濕穴。 尖沙咀🏩酒店 @be0852 #雨桐到了 雨桐 與 利君 (同性戀人) 8月10至17日 留港消費一周

7 Aug 2026, 08:06 UTC882 views0 reactionsread 8 August 2026

#利君 35歲 172cm 超巨波H+ (可一口兩lin)高大 肉感 BBW歐美S body 巨波 大籮 痴女.全程自動波 主打女同雙fly 可扮演母女/姊妹(本身係雙性戀女同戀人)痴女.欲望極大.鍾意食佢細妹/囡囡的奶.好享受.甚至肉緊到「一口兩lin」才滿足(sorry,胸迷才明白)。如果這對母女/姊妹/女同戀人過夜,不但會互相揸住對波瞓覺,甚至會將對波放到對方微張開的咀... 情侶的情趣。另外,女女互相大車絕非扮俾你睇,佢地真心like對方,你可能只係配角,負責將您的龍棍,深深喂鮑她們無法滿足的濕穴。 尖沙咀🏩酒店 @be0852 #利君到了 快閃A片👇🏻 +TpqgDySa9LfCTIZ2 前面要加 t.me/👆🏻 利君 與 雨桐 (同性戀人)8月10至17日 留港消費一周

7 Aug 2026, 01:47 UTC≈2,970 views4 reactionsread 8 August 2026

RX 8月7日 匠心 正菜 菜單 💎 #RX #菜單 🔄 📸 每天相冊 Telegram.me/RX2026 今天9位美女(有美少女.有波霸.有模特.有痴女) 每位囡囡.地點.客服.價錢.服務.各有不同.敬請留意 🔝🐝🔝Bee記🔝🐝🔝 👉🏻240👈 #Angela 💰3500非hg MILF BBW 巨乳 巨籮 擦邊 尖🏩 👉🏻885👈 #巨乳中EC 💰999 抵! 主打鬆骨 推拿真巨波巨籮 尖🏠 👉🏻CB1👈 #海豚 💰800 痴線巔 T0 CP 緊窄 嬌小 真E pink 尖🏠 海豚 8月10日 留港一周 👉🏻441👈 #利君 💰1600 女同 172 超巨大H+ 女同 雙fly 尖🏩 利君 8月10至17日 留港 👉🏻442👈 #雨桐 💰1600 女同 178 真E波 巨籮 歐美BBW 尖🏩 雨桐 8月10至17日 留港 預約以上囡 👉🏻 T.me/Be0852 💗🎓💗iQ妹💗🎓💗 👉🏻318👈 #

4

Showing the 12 most recent of 27 posts we hold for @RXhotel0. 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.

Posts edited after publishing

@RXhotel0 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 10,266 of 1,478,351entries 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

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 6 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.

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

“RX Hotel 0 menu” (@RXhotel0), 6,152 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/RXhotel0.

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.