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Channel

浪漫島🎀喝茶總部

@y6459999

On this record: Growth · Engagement · Posts · Citations · Cite this entry

1,832subscribers

+194 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-1003700534585
TypeChannel
Username@y6459999
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/y6459999

Growth

1,6381,8321,7357 August 2026 — 1,638 subscribers7 August 2026 — 1,638 subscribers10 August 2026 — 1,651 subscribers13 August 2026 — 1,657 subscribers17 August 2026 — 1,667 subscribers20 August 2026 — 1,832 subscribers7 August 202620 August 2026
6 measurements spanning 13 days, net +194. 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 1,609–1,861 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 11:161,832+165
17 Aug 2026, 14:141,667+10
13 Aug 2026, 23:461,657+6
10 Aug 2026, 07:451,651+13
7 Aug 2026, 06:401,638no change
7 Aug 2026, 05:161,638first reading

Engagement

23 posts held, back to 4 August 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
5.51%
avg views ÷ 1,832 subscribers
Avg views / post
101
23 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 23 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 held23 (4 August 20267 August 2026)
Views total2,321
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:53 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.

Recent posts

7 Aug 2026, 17:12 UTC10 viewsread 7 August 2026
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又被感動到的一天 有些相遇照亮彼此一程 所有真心 成了歲月裡的暖意 讓平凡的日子有了溫度

7 Aug 2026, 13:23 UTC50 viewsread 7 August 2026
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新手到底怎麼約😊 小軟到這邊給大家一些簡單的參考 1.如何表達自己的要求 2.那都了解了 要怎麼消費 3.小軟茶莊的服務地區及營業時間 ps:摩擦來源於不了解,更加了解你的喜好與禁忌才能安排到更符合你要求的女生 💎💎💎💎 1.如果有哥哥看感覺約的 或者比較喜歡自己選的,可以在頻道截圖或者官網看到的女生 直接發給我跟我預約 2.如果想讓小軟推薦的,那就可以把你的要求和預算告訴小軟,小軟來為你篩選 推薦 3.當然 你也可以完全信任小軟 無需看照 告知 要求 預算即可 其他交給小軟來安排

7 Aug 2026, 13:15 UTC27 viewsread 7 August 2026
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#首次配合 3+1 安排上了~ 現在還有很多 超讚的妹妹🤭

7 Aug 2026, 12:34 UTC26 viewsread 7 August 2026
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‼️ 輕熟女推薦🍼 楚柔/165/50kg/D奶/28歲 💕 正好是褪去少女青澀、開始散發成熟韻味的年紀 ⛹️‍♀️ 💕 低調沈穩 跟她相處你會覺得很舒服、很放鬆 👍 💕白白嫩嫩的,加上一點點豐腴的曲線,整個人抱住的時候那種的觸感,真的會讓人沈浸其 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889

7 Aug 2026, 12:34 UTC26 viewsread 7 August 2026
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‼️ 輕熟女推薦🍼 芊宇/165/50kg/F奶/35歲 💕 經驗豐富、非常懂男人的需求,不用你開口她都知道該怎麼配合 ⛹️‍♀️ 💕奶的份量是真的有,柔軟、圓潤、帶點自然的下垂弧線 👍 💕如果你喜歡成熟大奶的輕熟女、喜歡那種「姐就是懂」的服務 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889

7 Aug 2026, 12:34 UTC27 viewsread 7 August 2026
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‼️ 輕熟女推薦🍼 芯卉/163/48kg/E奶/30歲 💕 那種「斯文外表、火辣身材」的衝突感,真的會讓人凍未條 ⛹️‍♀️ 💕經驗夠、也夠放得開,不會扭捏也不會敷衍 👍 💕可遇不可求 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889

7 Aug 2026, 12:34 UTC30 viewsread 7 August 2026
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‼️ 輕熟女推薦🍼 米嬉/162/48kg/F奶/30歲 💕「嬌小卻有料」 眼神嫵媚、舉手投足都很挑逗 ⛹️‍♀️ 💕嬌小 大奶 外貌漂亮 👍 💕可遇不可求 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889

7 Aug 2026, 10:33 UTC49 viewsread 7 August 2026
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#你の專屬秘密情人 165/45kg/D奶/24歲 勾魂的腰 腿以及臉蛋 全部都會讓你戀戀不忘 身材比例 超好,顏值非常高 還有極品身材的加持,服務配合度上特別好 原價20k一節,可搭配你們當下擁有的折扣 #見到妹妹 兩節走起~ #颜值身材很好,個性也不錯,配合度高。應該很多男人喜歡的類型。

6 Aug 2026, 13:32 UTC120 views0 reactionsread 7 August 2026
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首次配合 非常滿意啦~ 因為之前在別家可能經驗不太好 所以想先一節看看,結果小軟安排妹妹非常喜歡,想加節,但是只帶了一節的錢錢,就很可惜🤣 建議下次大家都帶多節的錢錢唷,這樣下次喜歡就可以直接加 哈哈哈❤️ 小軟推薦的女生 ⬇️ 大奶護理師【轉轉】 162/47kg/F奶/24歲 ‼️【客評】:妹妹剛走喔,我必須說 真的很讚,真的 謝謝小軟,一進來她的外套拉鍊就沒啦好 裡面的情趣內衣就跑出來,一進來就說我很帥哈哈,然後開始親我,然後他就主動把內衣脫掉 兩顆大奶直接露出來,我直接硬了,真的軟 而且皮膚很好摸,他很喜歡亂舔,從我的奶頭耳朵 再到舌頭,前戲做的很棒,後面女上也很厲害,差點忍不住 想多玩一點,剛剛後面做完聊天的時候,看著他的奶就又不小心硬了,可惜我錢帶不夠,妹妹還問我要不要加 可惜 對小軟的評價:沒想到小軟你的妹妹這麼厲害啊😂,真的意猶未盡,我現在信了💝

6 Aug 2026, 13:27 UTC99 viewsread 7 August 2026
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很可愛 很甜的小妹妹 #身材好皮膚白,很嫩,口活技術很棒,要求的動作都很配合到位 妹妹的胸不小,很軟,上粉下 嫩的,毛少 粉嫩緊,摸一下就出水了,妹妹一直叫 會叫床,聲音夠甜 【推薦の學生】‼️ 地區:南部 資訊:郁澄/160/45kg/C+/20y 🎀推薦理由:暑假兼職 在校學生 更多照片 :https://t.me/c/1842025895/13238

Showing the 12 most recent of 23 posts we hold for @y6459999. 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 — 18,170 of 1,584,733entries 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

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 2 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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“浪漫島🎀喝茶總部” (@y6459999), 1,832 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/y6459999.

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.