#北部可約 跟老朋友的預約 簡單快速 有認真看月月頻道喔~ 推薦的正妹 立馬就來找月月預約啦~ 拿下女神3+1 明天又是享受的一天~ 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880 📱選妃一鍵加入⬇️ https://t.me/addlist/Oem-31xfhCdiYmI1

Channel
🥂白月光精選🇹🇼台灣優質高檔外送茶 台北外送茶 新北外送茶 桃園外送茶 新竹外送茶 高雄外送茶 台南外送茶 台中外送茶 出差 旅遊 舒壓放鬆 按摩 叫小姐 約妹 外約 高檔 台灣首選 推薦茶姐月月 外送茶推薦
@tg66yue69
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,828subscribers
+3,285 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 | -1001953141815 |
|---|---|
| Type | Channel |
| Username | @tg66yue69 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/tg66yue69 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 14:24 | 4,828 | +93 |
| 29 Aug 2026, 06:28 | 4,735 | +162 |
| 26 Aug 2026, 03:54 | 4,573 | +111 |
| 23 Aug 2026, 00:46 | 4,462 | +139 |
| 19 Aug 2026, 22:53 | 4,323 | +2,070 |
| 16 Aug 2026, 16:22 | 2,253 | +397 |
| 12 Aug 2026, 19:18 | 1,856 | +299 |
| 9 Aug 2026, 23:33 | 1,557 | +16 |
| 7 Aug 2026, 07:20 | 1,541 | -2 |
| 7 Aug 2026, 00:01 | 1,543 | first reading |
Engagement
22 posts held, back to 6 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.11%
- avg views ÷ 4,828 subscribers
- Avg views / post
- 102
- 22 posts measured
- Reaction rate
- 1.14%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 22 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 3 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 22 (6 August 2026 – 7 August 2026) |
| Views total | 2,242 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:08 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
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| 👍 | 1 | 33.3% |
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 3 of the 22 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 6 August 2026 to 7 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
#北部可約 #校花 溫柔如水的校花妹妹~ ⭐ 女神 163-C-45-20歲 ⭐ 女神 更多評價點此處 一字 夯!! #台北客評 很期待再次與她親密互動 顏值高 五官小巧精緻 臉蛋也較小 很溫柔乖巧 有回到校園戀愛的感覺 顏值評分:10 五官精緻 臉蛋小巧 沒有贅肉 身材罩杯:10 身材很好 修長又不誇張 擁有小模的身材 罩杯有料 與介紹一致👍 服務內容:10 約會過程:10 推薦程度:9.9 經紀人月月評分:100 很懂我的需求 也會引導我清楚的表達喜歡的類型 用心推薦 認真篩選 細心的回答問題 很注重細節 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880 📱選妃一鍵加入⬇️ https://t.me/addlist/Oem-31xfhCdiYmI1
#台中可約 騷騷櫃姐 約會既然不穿內衣 很火熱 需要哥哥降溫~~ ⭐ 奈雪 164-D-48-28歲 櫃姐兼職 深喉 舔蛋蛋 69 LG都不在話下! 用服務征服每一位約過她的客人~ 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880
#北部可約 見到妹妹之後 肚子也不餓了 飯也不吃了 心情也變好了 眼睛也有神了 兩節改三加一~ 推掉飯局都要加節~~ ⭐ 水滴 166-D-48kg-25歲 性格主動好聊 會引導帶動 身材高挑 苗條 見到妹妹的那一刻都會忍不住搭帳篷~ 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880
#北部可約 #學生妹 可愛俏皮的學生妹 白絲加上JK 喜歡學生妹的哥哥們有福嘍~~ 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880
Sticker, posted without a caption
❤1
#北部可約 #學生妹 #新朋友 咨詢了快四個月 終於鼓起勇氣找月月約妹了💕 毫不猶豫的聽月月推薦~立馬開好房間~ 我明白 有一些寶寶 比較害怕 比較擔心 但是在月月這你們可以放心大膽的來咨詢~ 耐心 溫柔 有趣 專業的茶姐 就是本月月XD 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880
⭐ 若婷 163-G-50-32歲 皮膚白皙透亮的人妻,擁有豐滿誘人的大胸部,曲線柔美又充滿成熟魅力。輕易散發出強烈的性感與風騷氣息,眼神勾人、笑容帶著曖昧。主動大膽,說話帶點挑逗,私底下很會挑逗與取悅對方。是那種外表溫柔卻暗藏騷氣、讓人一看就心癢難耐的白膚大奶性感人妻。 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880 📱選妃一鍵加入⬇️ https://t.me/addlist/Oem-31xfhCdiYmI1 Telegram
⭐ 涵霜 172-D-50-24歲 苗條高挑的超模兼職,五官精緻如雕刻般完美,皮膚細緻透亮。身材曼妙修長,曲線優美卻不夸张,走路時氣場全開,充滿魅力的精緻超模系美人。 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880 📱選妃一鍵加入⬇️ https://t.me/addlist/Oem-31xfhCdiYmI1
⭐ 嫣嫣 165-F-50-28歲 兼職拉丁舞老師的溫柔知性美人,身材曲線分明卻不突兀,跳舞時更顯優雅動人。溫柔沉穩。 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880 📱選妃一鍵加入⬇️ https://t.me/addlist/Oem-31xfhCdiYmI1
娜娜 明天報班~ 報班時間是下午16:00 有興趣的密我~ @f645sq
#北部可約 #回約老點 說好約2週約娜娜一次 變成了1週約娜娜兩次 實在是拒絕不了娜娜的魅力🤣 回約11次了 已經在喬下週的時間 準備12次了 ⭐ 娜娜 165-D-47kg-26歲 性格滿分 女友感滿分 服務滿分 👑 用心經營五年 嚴選推薦 📱 外送茶Tg: @f645sq ⭐ Gleezy搜索: tw69880 📱 外送茶LINE: tw69880
Showing the 12 most recent of 22 posts we hold for @tg66yue69. 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 — 41,373 of 1,629,808 entries 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.
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 3 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.
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“🥂白月光精選🇹🇼台灣優質高檔外送茶 台北外送茶 新北外送茶 桃園外送茶 新竹外送茶 高雄外送茶 台南外送茶 台中外送茶 出差 旅遊 舒壓放鬆 按摩 叫小姐 約妹 外約 高檔 台灣首選 推薦茶姐月月 外送茶推薦” (@tg66yue69), 4,828 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/tg66yue69.
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.