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Channel

小韻新手喝茶指南🍵

@tyd56166

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

601subscribers

-1 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003179998795
TypeChannel
Username@tyd56166
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live25 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/tyd56166

Growth

60160360212 August 2026 — 602 subscribers12 August 2026 — 601 subscribers18 August 2026 — 603 subscribers25 August 2026 — 601 subscribers12 August 202625 August 2026
4 measurements spanning 13 days, net -1. 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 601–603 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 10:57601-2
18 Aug 2026, 19:23603+2
12 Aug 2026, 13:06601-1
12 Aug 2026, 05:16602first reading

Engagement

20 posts held, back to 15 January 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
12.0%
avg views ÷ 601 subscribers
Avg views / post
72.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held20 (15 January 20268 August 2026)
Views total72
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:16 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

20 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 95.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1995.0%
👍15.00%

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 20 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 15 January 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

8 Aug 2026, 16:15 UTC72 viewsread 12 August 2026
Photo

小韻家完整外約模式💕 旅館/飯店(生熟客都可) 住家(限熟客) #小韻服務流程 ①告訴小韻你的喜好類型 需求與預算 方便幫你推薦適合的選擇 ② 確認好時間、地點、價位後 請在約定時間內提供旅館名稱與房號 ③ 妹妹抵達後滿意再進行現金付款 如果真的有明顯不符合需求的情況 第一時間跟小韻溝通處理 (若有產生必要車資,需依實際情況支付200-400) ④過程中有任何情況 一定要第一時間聯繫小韻 【小韻希望每次安排都能讓哥哥放心 找到適合自己的安排】 👇 【預約模版】 所在地區: 預約時間: 大概預算: 喜歡類型: 介意雷點: 需求說得越清楚 小韻越能幫你精準配對 省下盲選踩雷的時間 👉第一次嘗試外約不用害怕 小韻陪你剛接觸外約 沒有方向 把你的需求交給小韻 我幫你 老司機的哥哥 也歡迎來感受不同的服務與品質 外送隱私保密│專屬外約│到府服務│ 密我安排: https://t.me/m/NRSyM-tYZD

Signed 小韻最美

27 Jul 2026, 15:00 UTC146 viewsread 12 August 2026
Forwarded from @dsa3568

關於現場落差這件事,小韻想直接跟大家說清楚,也希望第一次認識我的哥哥可以放心。 很多人第一次安排,最擔心的不是價格,而是到了現場才發現跟自己想像的不一樣,花了錢卻不知道該怎麼辦,只能勉強接受。 如果真的遇到這種情況,不用硬撐,也不用因為不好意思而委屈自己。 只要妹妹到現場後,和事前描述有明顯落差,或是讓你完全無法接受,你可以第一時間直接告訴我,我會立刻幫你處理。 小韻在這裡承諾: • 開門見到妹妹的第一時間,如果落差明顯、完全無法接受,可以直接結束安排,費用全額退回。 • 如果有些落差,但還在可以接受的範圍,你想要繼續,結束後一樣可以跟我反應,我會依實際情況安排下次優惠,絕對不會讓你白白吃虧。 • 如果是妹妹現場狀態不好、服務態度有問題,或其他影響體驗的情況,也請當下告訴我,我會依照實際狀況處理現場退費或後續補償,不會讓事情不了了之。 小韻一直相信,哥哥們願意把錢交給我,是因為信任。 既然選擇相信我,那我就有責

Signed 小韻最美

10 Jul 2026, 15:56 UTC244 viewsread 12 August 2026
Photo

🫧 不露臉的妹妹 其實才是真正的寶 很多台灣兼職妹妹不愛公開臉照 有的只秀身材 有的甚至完全沒照片 但這可不是素質不行 反而是越優質越低調! ⭐ 她們通常條件更好 氣質更勝 ⭐ 特別注重隱私 不想被身邊的親人朋友發現 ⭐ 服務態度也更認真 只想好好對待懂她的客人 新手看到常會猶豫: 「看不到臉,怎麼挑啊?」 老手卻眼睛一亮: 「不露臉還能穩穩接客 這肯定是靠實力吃飯的!」 真正的好妹 從來不需要靠照片行銷 她們靠的是技術 態度跟默契 反而留得住客人 越做越穩 不公開 只有熟客圈才知道 親見過的人都說值得 🫧 如果你是老手 想找真正有水準的 我可以依照你的喜好 私下幫你安排幾個優質選擇 🫧 見面會有驚喜的類型 🫧 性價比很高 服務很貼心 🫧 市面上很難碰到的隱藏資源 想體驗看看嗎? 🫧 直接私訊我 @yun02519 告訴我你的偏好 我幫你配對!

Signed 小韻最美

6 Jul 2026, 05:43 UTC258 views1 reactionsread 12 August 2026
Photo

最近好多客人私下跟小韻抱怨,在外面花大錢卻常常踩雷,品質跟預期差很多。所以小韻想把自己在這行做了七年的經驗整理一下,雖然我本人不是男生,但每天接觸的都是男生,也偷偷整理了一些數據,給大家一些喝茶時的參考建議。 #怎麼挑到靠得住的GTO? 選GTO真的很重要。遇到好的,隨便約都大概有水準;遇到差的,可能會讓你以後對喝茶都提不起勁。假GTO這種暫時先不談,碰到機率其實不高。 GTO也分兩種:一種是只想快點賺錢的,另一種是想長期做口碑的。大家聽GTO說話的時候,心裡有個底就好了,好聽的話別全信。 #挑到好GTO之後,怎麼挑妹妹? 📌 價格 還是一句老實話:一分錢一分貨。新手建議先看自己能接受的價位,約兩三次之後就會慢慢知道自己真正想要的等級。新手可以先從GTO目前最推薦的紅牌開始,通常比較不會踩雷。 📌 價位與外型 GTO跟妹妹都不是傻子,你不可能用便宜價格約到年輕、正、身材又好的。有一個現實原則要記住:8k以下的價位,通常長相、身材

1

Signed 小韻最美

16 Jun 2026, 15:17 UTC397 views2 reactionsread 12 August 2026
Forwarded from @dsa3568

正確約妹流程 ✅1. 告訴小韻你的預算、所在地區以及喜歡的類型 ✅2. 選好要約的妹妹之後,確定旅館,或由小韻幫忙推薦 ✅3. 確定好約妹妹的時間、地點、旅館後,提供電話 ✅4. 妹妹到了之後,不管喜不喜歡都和小韻說一下 ✅5. 中間出現任何問題或意外,都可以隨時聯繫小韻或打電話給小韻 🔞新手第一次約妹妹,有任何不懂的地方都可以和小韻溝通哦~ 有不懂的問題都可以隨時來問,歡迎大家提問~ 小韻都會很耐心地幫你們解決~ 客人和GTO之間的互相信任 ✅1. 有任何不OK的地方都需要和小韻溝通 ✅2. 有意向約的妹妹可以直接說明來意 ✅3. 臨時有事不方便,取消請提前告知 ✅4. 介紹到不符合胃口的妹妹,可以直接和小韻說 ✅5. 介紹完之後不管喜不喜歡想不想約都請和小韻說一下 彼此尊重 ✅6.多聽專業人的建議 我們的立場是一樣的 你想喝到好茶 我想賺錢 必須是你喜歡我才有得賺呀~~ 🔞想要快速、精準地喝到不錯的茶,就需要多和

2

Signed 小韻最美

29 May 2026, 07:28 UTC642 viewsread 12 August 2026

ps:各位大大想要見到妹妹在決定要幾節的話 記得見面十分鐘之內決定喔 有大大想做完一節再加 小韻就說一下臨時加節會出現的情況 1.從服務上來說:妹妹的節數也會決定服務內容 如果是先拿一節的錢 妹妹就會自己抓時間 把這一節做好 服務上可能稍微會有一些趕時間 因為主要是要讓你射出來 前戲就會減少很多 前戲減少之後 可能大大們又會覺得 第一節都做的不細緻 沒有很多服務 就不想加節 這個想法是沒錯 但是妹妹只有一節的時間呀 肯定是按照一節的流程去走的 多節的話就會比較不趕時間 可以慢慢做前戲 鋪墊 探索更多的姿勢 2.從時間上來說:偶爾也會有見到妹妹之後 妹妹跟你說不可以加 因為自己有事情要忙 這個情況就是妹妹是兼職 有空就出來 其他時間有自己的事情要做 沒有辦法完全配合客人的時間 如果是一開始就確定了幾節 我就可以先去喬 妹妹就會安排自己的行程 專門去接客人 做完一節再加 :妹妹一般都是有自己的老點客人 假設你4點鐘買了一節 你說做完

Signed 小韻最美

13 May 2026, 11:18 UTC895 views2 reactionsread 12 August 2026
Forwarded from @dsa3568

#小韻為什麼強烈建議你別只靠照片挑妹 直接說重點: 把「照片一定要本人」當成唯一標準,其實是本末倒置。 你可能被假照片坑過,所以現在特別害怕再踩雷,這我懂。但請你冷靜想想—— 就算這次照片100%本人,結果妹妹到了卻態度敷衍、服務敷衍、感覺像在交差,你真的會開心嗎? 你付錢是為了爽,不是為了驗證照片啊! 真正決定你這次爽不爽的,從來不是照片,而是你選的茶莊夠不夠專業、夠不夠靠谱。 優質的妹妹根本不願意把自己的照片公開。 為什麼?因為她們也要生活。 一旦照片流出去,後果不是開玩笑的: ● 身邊人的異樣眼光看她,背後指指點點,每天出門都像被監視 ● 親戚知道後,家族群組和過年聚會變成壓力來源 ● 朋友漸漸疏遠,原本的閨蜜圈直接斷聯 ● 同學或同事議論起來,社群和職場都可能被影響 她們不是不想露臉,而是不能露。露了,就等於把自己的正常生活親手毀掉。 所以小韻才一直告訴你:找一家真正專業、講信用的茶莊,才是最高CP值的做法。

2

Signed 小韻最美

5 May 2026, 04:35 UTC917 views2 reactionsread 12 August 2026

🏠 【住家安排說明】 很多哥哥會問  為什麼第一次來小韻這邊不能安排住家 🤔 🩷為什麼生客不能住家 其實原因很簡單 生客第一次見面  彼此其實是第一天認識 彼此都不熟 身為介紹人 我一定要先把 妹妹的安全放在第一位 🛡 所以第一次接觸 原則上都 不安排住家 🩷住家屬於私人空間 住家跟旅館不一樣 那是妹妹 非常私人的生活空間 🏠 不像旅館是公開場所以第一次見面 不會直接安排住家 🩷這不是針對客人 而是對每一位妹妹 最基本的保護 我做介紹 不是把人安排出去就不管了每一次安排 我都要把 安全顧好 ❤️每個人的界線不同 有些妹妹 本身就 不接受住家安排 這一點我一定會尊重 她們自己的意願 🙏 🩷什麼情況才可能住家 等之後彼此熟悉 建立信任 配合也都沒有問題 有些熟客 才會 依情況評估住家 但也還是要看 妹妹本人願不願意 🩷最後想說 規矩不是刁難誰 而是希望每一次見面 都是

1👍1

Signed 小韻最美

3 May 2026, 06:30 UTC874 viewsread 12 August 2026

https://t.me/dsa3568 哥哥們 麻煩幫小韻一個忙 加入這隻群組唷 以後會在這邊更新 以前舊的那隻被炸掉了 嗚嗚

Signed 小韻最美

30 Mar 2026, 14:21 UTC≈1,000 viewsread 12 August 2026

其實小韻觀察一段時間後 發現很多人對「試水」這兩個字有點誤解了✨ #常見的試水迷思 不少人會把試水理解成: 「先用最低的預算試試看,有沒有賺到」 但問題在於—— 預算降了,期待卻沒有跟著調整 一樣希望外型、服務、體驗都到位 只要有一點落差,就直接否定,甚至貼上標籤 外送的妹都不好 都爛 茶姐都騙人 這樣的方式,其實很容易陷入一個循環: 不停換、不停試、不停失望 花了很多次低價的錢,卻始終找不到滿意的感覺 到最後,甚至會開始懷疑整個市場 但說實話,有時候問題不在「有沒有好的」 而是在「選擇的方式不對」 #試水的正確邏輯 真正的試水,是用「對應的預算」去看「對應的品質」 你可以從低預算開始沒問題 但同時要用更客觀的角度去看待 而不是用高標準去檢視低價位 如果你覺得這個區間的品質是可以接受的 那下一步,是慢慢往上調整預算 一點一點去找出你真正喜歡、也願意長期選擇的類型✨ 這樣的過程,才叫「試水」 而不是單純的「測運氣」

Signed 小韻最美

7 Mar 2026, 13:42 UTC860 views4 reactionsread 12 August 2026

🏠 【住家安排說明】 很多哥哥會問  為什麼第一次來小韻這邊不能安排住家 🤔 🩷為什麼生客不能住家 其實原因很簡單 生客第一次見面  彼此其實是第一天認識 彼此都不熟 身為介紹人 我一定要先把 妹妹的安全放在第一位 🛡 所以第一次接觸 原則上都 不安排住家 🩷住家屬於私人空間 住家跟旅館不一樣 那是妹妹 非常私人的生活空間 🏠 不像旅館是公開場所以第一次見面 不會直接安排住家 🩷這不是針對客人 而是對每一位妹妹 最基本的保護 我做介紹 不是把人安排出去就不管了每一次安排 我都要把 安全顧好 ❤️每個人的界線不同 有些妹妹 本身就 不接受住家安排 這一點我一定會尊重 她們自己的意願 🙏 🩷什麼情況才可能住家 等之後彼此熟悉 建立信任 配合也都沒有問題 有些熟客 才會 依情況評估住家 但也還是要看 妹妹本人願不願意 🩷最後想說 規矩不是刁難誰 而是希望每一次見面 都是

4

Signed 小韻最美

27 Feb 2026, 12:33 UTC812 viewsread 12 August 2026

💎 小韻家可安排服務範圍一覽 💎 以下為目前可配合外送城市 依地區不同 價位與車資略有調整 ━━━━━━━━━━━━━━ 🌆 台北地區|4500 起 士林|北投|中山|中正|大安|信義 松山|萬華|南港|內湖|文山|大同 ━━━━━━━━━━━━━━ 🚗 新北地區|4500 起 板橋|新莊|中和|永和|三重 新店|土城|泰山|五股|汐止|樹林 📍偏遠區域 淡水|林口|八里|龜山 ➜ 車資 +200 ━━━━━━━━━━━━━━ 🏙 新竹區域|4500 起 新竹市|竹北|東區|北區|香山 ━━━━━━━━━━━━━━ 🌃 台中地區|3000 起 西屯|北屯|南屯|西區|東區 北區|南區|中區|大里|太平 大雅|烏日 📍偏遠地區 沙鹿|豐原 ➜ 車資 +200 ━━━━━━━━━━━━━━ 🌴 高雄地區|3000 起 三民|新興|前金|前鎮|鼓山 ➜ +200 左營|苓雅 ➜ +200 小港|鳳山 ➜ +3

Signed 小韻最美

Showing the 12 most recent of 20 posts we hold for @tyd56166. 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 — 584,250 of 1,627,068entries 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 1 registered channel — 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.

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

“小韻新手喝茶指南🍵” (@tyd56166), 601 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/tyd56166.

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.