🍓【 𝐇𝐊 · 顶配高挑御姐 】🍓 🎀 妹妹档案 🎀 🎂 99年 175cm F杯 🥛 顶级名模比例 逆天大长腿 👱♀️ 气场高级冷艳 身材骨感纤细 💖 独家体验 💖 🎀 谈吐大方得体 知书达理 🍭 顶级视觉震撼 情绪价值拉满 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围

Channel
【宝格丽】香港外围俱乐部
@VIPWW57
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
52,417subscribers
+42,839 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003046435993 |
|---|---|
| Type | Channel |
| Username | @VIPWW57 |
| Description | 💎 BVLGARI 宝格丽 · 全球高端私享领航者 💎 ━━━━━━━━━━━━━━━━━━━━ ✨ 意式美学 | 璀璨如钻 | 至臻盛筵 承袭宝格丽不朽的华贵底蕴,我们为您雕琢每一场如梦似幻的邂逅。在这里,品质不仅是承诺,更是流淌在血脉里的极致标准。 🏛 尊崇标准: 📍 全域覆盖 —— 深度布局全国核心城市,繁华中心,悦享无界。 💎 严选品质 —— 频道甄选灵动款,开启属于您的奢华名录。 💎 尊享入口: @mm117bot #香港外围 #香港包养 #香港上门 #香港伴游 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 42 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/VIPWW57 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 06:01 | 52,417 | -1,293 |
| 28 Oct 2026, 03:25 | 53,710 | -561 |
| 27 Oct 2026, 00:26 | 54,271 | +2,008 |
| 26 Oct 2026, 01:20 | 52,263 | +412 |
| 24 Oct 2026, 21:48 | 51,851 | +2,965 |
| 23 Oct 2026, 18:47 | 48,886 | -614 |
| 22 Oct 2026, 22:07 | 49,500 | -1,390 |
| 21 Oct 2026, 16:00 | 50,890 | -715 |
| 20 Oct 2026, 12:35 | 51,605 | -1,190 |
| 19 Oct 2026, 11:16 | 52,795 | -991 |
| 18 Oct 2026, 13:08 | 53,786 | -315 |
| 17 Oct 2026, 13:26 | 54,101 | -1,225 |
| 16 Oct 2026, 11:28 | 55,326 | -315 |
| 15 Oct 2026, 10:31 | 55,641 | -111 |
| 14 Oct 2026, 12:29 | 55,752 | +1,401 |
| 12 Oct 2026, 22:00 | 54,351 | +4,296 |
| 8 Oct 2026, 10:17 | 50,055 | +5,057 |
| 3 Oct 2026, 23:18 | 44,998 | +3,243 |
| 25 Sept 2026, 06:57 | 41,755 | +3,095 |
| 18 Sept 2026, 18:57 | 38,660 | first reading |
Engagement
57 posts held, back to 3 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 117 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.256%
- avg views ÷ 52,417 subscribers
- Avg views / post
- 134
- 22 posts measured
- Reaction rate
- 0.709%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 57 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 1 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 October 2026 |
|---|---|
| Posts held | 57 (3 August 2026 – 28 October 2026) |
| Views total | 2,955 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Oct 2026, 06:54 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
- ≈1,750
- Videos
- ≈395
Lifetime counters from Telegram’s own channel header, read 29 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 6m 30s
- Average length
- 8s
Measured directly from 48 videos 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 3 of the 57 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 3 August 2026 to 28 October 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
🍓【 𝐇𝐊 · 优雅气质女神 】🍓 🎀 妹妹档案 🎀 🎂 04年 170C 96斤 🥛 极品细腰 🥢筷子腿 👱♀️ 气质女神 优雅在线 💖 独家体验 💖 🎀 谈吐大方得体 皮肤白皙细腻 🍭 不催不事 满满女友感 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 白皙女友风 】🍓 🎀 妹妹档案 🎀 🎂 172cm 天然D杯 🥛 筷子腿 A4腰 💮全身通体雪白 👱♀️ 极致完美比例 皮肤滑嫩如玉 💖 独家体验 💖 🎀 女友感十足 真实自然 🍭 梦中情人 极致舒适 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 温柔御姐 】🍓 🎀 妹妹档案 🎀 🎂 174D 50kg 🥛 纯天然无整 雪白雪白 👱♀️ 筷子腿 🍑蜜桃臀 💖 独家体验 💖 🎀 开朗幽默 会聊天 温柔体贴听话 🍭 风骚妩媚 主动热情 会调情 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 气质女神 】🍓 🎀 妹妹档案 🎀 🎂 04年 172D 🥛 曲线紧致 肤白长腿 身材饱满 👱♀️ 尤物视感 极致诱惑 💖 独家体验 💖 🎀 高情商解语花 乖巧听话 🍭 情绪价值拉满 温柔不催 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 172高挑爆乳温柔御姐 】🍓 🎀 妹妹档案 🎀 🎂 172cm E罩杯 🥛 极品御姐 气场全开 👱♀️ 高挑修长九头身 极品大长腿 💖 独家体验 💖 🎀 性格温柔 温婉大方 🍭 柔情似水 优雅不催 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 高挑灵动纯欲 】🍓 🎀 妹妹档案 🎀 🎂 07年172cm D罩杯 🥛 香港留学 甜美可人 👱♀️ 灵动大眼睛 极品魔鬼身材 💖 独家体验 💖 🎀 听话粘人 大一兼职 🍭 满分甜度 活泼可爱 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 韩系反差女友 】🍓 🎀 妹妹档案 🎀 🎂 04年 174cm 100斤 C罩杯 🥛 韩系女友 清纯脱俗 👱♀️ 高瘦苗条 极品大长腿 💖 独家体验 💖 🎀 纯欲女友感 听话粘人 🍭 满分反差 惊喜满满 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 清纯校花女神 】🍓 🎀 妹妹档案 🎀 🎂 05年 170cm 96斤 C罩杯 🥛 清纯校花 颜值天花板 👱♀️ 皮肤雪白嫩细腻 白璧无瑕 💖 独家体验 💖 🎀 性格温柔 声音甜美 🍭 满分初恋 蜜桃臀 👙 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 羞涩清纯天菜 】🍓 🎀 妹妹档案 🎀 🎂 07年 173cm 96斤 D罩杯 🥛 清纯甜美 气质干净 👱♀️ 体态轻盈优雅 高挑骨感 💖 独家体验 💖 🎀 性格乖巧 听话粘人 🍭 羞涩动人 活泼可爱 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 可爱大胸学妹 】🍓 🎀 妹妹档案 🎀 🎂 07年 167cm 36D罩杯 🥛 可爱迷人 元气满满 👱♀️ 甜美初恋脸 身形匀称 💖 独家体验 💖 🎀 听话粘人 乖巧温顺 🍭 满分甜度 青涩可人 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
🍓【 𝐇𝐊 · 清新温柔天菜 】🍓 🎀 妹妹档案 🎀 🎂 23岁 172cm 100斤 D罩杯 🥛 清新脱俗 极致温柔 👱♀️ 邻家初恋脸 傲人双峰🐻D 💖 独家体验 💖 🎀 听话粘人 乖巧温顺 🍭 满分甜度 日本模特 #香港外围 #香港高端 #香港上门 #香港伴游 #高端外围
Showing the 12 most recent of 57 posts we hold for @VIPWW57. 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.
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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“【宝格丽】香港外围俱乐部” (@VIPWW57), 52,417 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/VIPWW57.
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.