💗芳芳茶坊預約妹福利多多 加節有優惠哦💗 👧🏻清純茶 露露.163.D奶.45.22歲.8000 💃🏻高挑茶 純兒.168.D奶.48.23歲.7000 💃🏻輕熟女茶 敏敏.162.E奶.46.28歲.3000 😀大奶茶 芹芹.164.E奶.47.21歲.6000 💃🏻高艷麗茶 珺珺.165.E奶.48.22歲.4000 👧🏻童顏茶 寶兒.163.F奶.45.19歲.10000 💃🏻輕熟茶 亮亮.162.E奶.48.26歲.5000 👧🏻可愛茶 琦琦.158.C奶.45.19歲.9000 👧🏻骨感茶 小菊.160.C奶.44.23歲.6000 👧🏻幼齒茶 小晴.153.B奶.40.18歲.12000 👧🏻可愛茶 貝貝.156cm.D.18歲.15000 👧🏻護理茶 小美.161cm.D.20歲.8000 💃🏻風騷茶 雨涵.165cm.C.26歲.4000 👧🏻變裝 小啾啾.155cm.42.C.18歲.10000 👧🏻膚白 小鈴…

Channel
台北包夜班表Gleezy: tws966#伴遊#外出#包夜
@nms566
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003642562886 |
|---|---|
| Type | Channel |
| Username | @nms566 |
| Description | 台北包夜班表#伴遊#外出#包夜#商務#導遊#聊伴# 玩伴 Telegram@nms312 台妹 |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/nms566 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:17 | 6 | no change |
| 8 Aug 2026, 06:36 | 6 | first reading |
Engagement
17 posts held, back to 20 July 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 172.7%
- avg views ÷ 6 subscribers
- Avg views / post
- 10.4
- 11 posts measured
- Reaction rate
- 24.8%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 17 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 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 17 (20 July 2026 – 12 August 2026) |
| Views total | 114 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 22:17 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
- 84
- Videos
- 2
- Links
- 46
Lifetime counters from Telegram’s own channel header, read 12 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
- 2m 08s
- Average length
- 2m 08s
Measured directly from 1 video 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
48 reactions across 16 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 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 16 of the 17 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 48reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 20 July 2026 to 12 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
小妮 158 45 C 27歲 地區:#台北 #新北 價位:18000 四節 #單親媽媽 親切好聊 個子嬌小 標準小隻馬 阿斯~~~ 卸下衣服後 那兩顆木瓜 光看就硬了 #可口爆 無套 內射 69 喇舌 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669
❤2
Photo, posted without a caption
❤2
🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669
❤2
🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669
❤2
週末出來放鬆開心啦
❤2
💌#臺北新北推薦 熟女 🔘 微微|164cm|H+奶|55kg|31歲|4500可約 成熟豐滿型 前凸後翹 經驗豐富 服務到位 老司機最愛 💦 學生 🔘 婷婷|155cm|B+奶|45kg|18歲|6000可約 清純學生妹 白皙皮膚 纖瘦可愛 第一次下海 青春可口 👧🎀 💌#臺中推薦 熟女 🔘 雅芳|162cm|E奶|52kg|32歲|3500可約 溫柔風韻型 皮膚白皙 身材勻稱 體貼入微 讓你有被照顧的滿足感 💕 學生 🔘 米米|158cm|C奶|46kg|19歲|5500可約 元氣美少女 笑容甜美 翹臀細腰 活力四射 陪你玩到天亮 💃🔥 💌#高雄臺南推薦 熟女 🔘 婉如|165cm|F奶|54kg|33歲|4000可約 火辣御姐型 前凸後翹 風情萬種 技術一流 讓你回味無窮 🍑🔥 學生 🔘 小柔|153cm|B奶|44kg|18歲|6000可約 鄰家女孩 溫柔內向 聲音輕柔 清純無瑕 害羞的樣子超可愛 🥺💕 💌#新竹推…
❤2
#台北推薦 大學生新人兼職 喵喵 162cm.46kg.Dcup.20歲 初次下海火辣小翹臀 嘗鮮體驗中 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669
❤4
Photo, posted without a caption
❤3
台北包夜舒婷 164 cm D+cup 46kg 22歲 #台北12000 一節 兩節22000 四節30000 包 https://www.smile966.com/forum.php?mod=viewthread&tid=3014
❤5
#新北私房菜 恩琪 165cmE奶25歲 #日企翻譯助理 性感又氣質 口技好 很緊實 很會勾引人 皮膚白皙 #床上會日語叫床哦 #價位36K —💕—芳芳臺北外送—💕— 芳芳一對一諮詢.聊天密👇 Line: tws966 / hao922557 LINE連接:https://line.me/ti/p/GPgrgR65LF telegram搜索:@nms325 Gleezy 號:tws966/hao922557 Gleezy南部 高雄 台南區:https://gleezy.net/9669 Gleezy每日班表:https://c.gleezy.top/CES7xRwB 一個人在無聊.寂寞.休假.出差.旅遊.空閒時間都可以選擇品茶調節身心
❤4
佳佳 160cm Dcup 48kg 25歲 包夜 30K 嬌小包緊緊 搖起來很頂又剛剛好 全程女友體驗感爆棚 —💕—芳芳臺北外送—💕— 芳芳一對一諮詢.聊天密👇 Line: tws966 / hao922557 LINE連接:https://line.me/ti/p/GPgrgR65LF telegram搜索:@nms325 Gleezy 號:tws966/hao922557 Gleezy南部 高雄 台南區:https://gleezy.net/9669 Gleezy每日班表:https://c.gleezy.top/CES7xRwB 一個人在無聊.寂寞.休假.出差.旅遊.空閒時間都可以選擇品茶調節身心
❤4
Showing the 12 most recent of 17 posts we hold for @nms566. 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 — 632,755 of 1,584,420entries 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
Names
Channels on the register whose handles appear in this channel's posts.
@nms3223 · 3996 posts芳芳台灣外約選妃區Line/WeChat: hao922557
@nms3225 · 4646 posts🇹🇼(18-20歲學生妹)+Line: hao922557
@nms326 · 3616 posts高雄【老司機】推薦茶單更新Line/Gleezy: tws966
@nms332 · 726 posts台中#幼齒WeChat:🆔 hao92255 #人妻 #學生妹 #大奶 #外送茶 #交友聊天 #一夜情 #老司機高檔茶頻道
@nms366 · 936 posts台北【高檔茶】外約Gleezy/Line: tws966
@nms388 · 846 posts熟女班表+line/Gleezy: hao922557
@tws967 · 806 posts臺灣酒店外圍上門服務Line/Gleezy:tws966
@nms966 · 915 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“台北包夜班表Gleezy: tws966#伴遊#外出#包夜” (@nms566), 6 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/nms566.
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.