#曼谷🇹🇭 CNB 𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥️ | 瑶瑶 20岁的身体 像初夏沾着露水的蜜桃 屁股翘翘 小腰蛮蛮 身体超敏感 咬一口汁水多多 情商高 会聊天 撒娇一把好手 犹如初恋女友的感觉 超级冷白皮 无纹身 ♡ ♥️ の年龄- 04 の身高- 168 の胸围- 34D(真胸) の体重- 48KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥️ 聽說緣分會把我帶到妳身邊 ♥️ 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)

Channel
海外高端外围妹妹💋蜜见💋
@mei683
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,705subscribers
-7,488 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001993083815 |
|---|---|
| Type | Channel |
| Username | @mei683 |
| Description | 🇰🇭柬埔寨频道:@jianpuzhai988 🇹🇭泰国频道:@taiguo52 🈷️包养频道:@baoyue696969 ➗女频道:https://t.me/chunv18 🇻🇳越南包养:https://t.me/baoyangmi 🇭🇰香港频道:https://t.me/xianggang52 🇲🇾马来西亚频道:https://t.me/malaixiya69 🇦🇪迪拜频道:https://t.me/dubai19 🇯🇵日本妹妹包养:https://t.me/riben365 ☎️客服: @kkqq04 |
| Created | Between 1 October 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/mei683 |
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 79% 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 |
|---|---|---|
| 4 Nov 2026, 11:25 | 11,705 | +1 |
| 3 Nov 2026, 12:56 | 11,704 | -12 |
| 2 Nov 2026, 12:51 | 11,716 | -3 |
| 1 Nov 2026, 09:15 | 11,719 | -89 |
| 31 Oct 2026, 12:17 | 11,808 | -6 |
| 30 Oct 2026, 12:44 | 11,814 | -86 |
| 29 Oct 2026, 10:56 | 11,900 | -16 |
| 28 Oct 2026, 10:06 | 11,916 | -8 |
| 27 Oct 2026, 11:25 | 11,924 | -9 |
| 26 Oct 2026, 10:17 | 11,933 | -11 |
| 25 Oct 2026, 13:10 | 11,944 | -101 |
| 24 Oct 2026, 14:59 | 12,045 | -23 |
| 23 Oct 2026, 13:45 | 12,068 | -6 |
| 22 Oct 2026, 15:05 | 12,074 | -7 |
| 21 Oct 2026, 10:48 | 12,081 | -8 |
| 20 Oct 2026, 07:21 | 12,089 | -8 |
| 19 Oct 2026, 10:16 | 12,097 | -13 |
| 18 Oct 2026, 08:59 | 12,110 | -8 |
| 17 Oct 2026, 06:28 | 12,118 | -12 |
| 16 Oct 2026, 05:57 | 12,130 | first reading |
Engagement
169 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.751%
- avg views ÷ 11,705 subscribers
- Avg views / post
- 87.9
- 15 posts measured
- Reaction rate
- 1.06%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 169 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 9 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 169 (6 August 2026 – 4 November 2026) |
| Views total | 1,319 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 18:55 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
- ≈72,700
- Videos
- ≈15,000
- Links
- ≈11,600
Lifetime counters from Telegram’s own channel header, read 4 November 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
- 17m 44s
- Average length
- 9s
Measured directly from 117 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
46 reactions across 42 posts, in 3 distinct kinds. The most used accounts for 91.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 42 | 91.3% | |
| 👍 | 3 | 6.52% | |
| 🥰 | 1 | 2.17% |
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 45 of the 169 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 169 most recent posts we hold, published 6 August 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#迪拜🇦🇪 DUB 萌萌 165 90 天然🐻D 皮肤白 蜜桃臀 常年健身解锁各种姿势 型 紧致 水超级多 床上反差感极大 极品 高难度动作 完美花瓶身 🇦🇪查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
#曼谷🇹🇭 CNB 𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥️ | 小发财 曼谷新人 中日混血 韩国星船娱乐公司唱跳艺人练习生 女友感满满 情绪价值十足 可盐可甜 情商高 舞蹈 制服 一字马 蜜桃臀 蜜桃腿 (留学生 赚留学费用下海兼职) 英文好 可全程英语交流 ♡ ♥️ の年龄- 04 の身高- 166 の胸围- 34D➕(真胸) の体重- 45Kg 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥️ 聽說緣分會把我帶到妳身邊 ♥️ 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
#迪拜🇦🇪 DUB 新人:金晨 • 𝐀𝐠𝐞年龄/02 • 𝐇𝐞𝐢𝐠𝐡𝐭身高/166cm • 𝐖𝐞𝐢𝐠𝐡𝐭体重/47kg • 𝐁𝐮𝐬𝐭胸围/ 真🐻D+ 洋气,邻家女孩,我见犹怜,无风尘味,肌肤雪白,素颜🉑见,配合度高 皮肤白嫩光滑 ~ 🫧🫧清纯甜美 素质极高 属于你的乖巧女友 🇦🇪查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
#吉隆坡🇲🇾 _________________________1324号 N601 国籍:🇻🇳 名字:nana 年龄:21岁 身高:168 体重:47公斤 胸围:C 🇲🇾查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#曼谷🇹🇭 VNX 👤 艺名:诗诗 🔢 编号:117 🇻🇳 国籍:越南(新人) 📏 身高:158 cm 🎂 年龄:22 岁 👙 胸围:C ⚖️ 体重:42 kg ━━━━━━━━━━ ✨ 性格标签 🌸 中文流利 · 小巧玲珑 💎 邻家小妹 · 甜美迷人 🌷 青春活力 · 服务贴心 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#吉隆坡🇲🇾 _________________________1321号 N598 国籍:🇻🇳 名字:sam(会中文) 年龄:20 身高:160 体重:49公斤 胸围:C 🇲🇾查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#曼谷🇹🇭 VNX 高挑极品大胸 みなさん、こんにちは。私は京都から来た小さな赤ちゃんです。 • 身長 :170cm • 胸囲 :巨乳E杯 • 年 :00年 • 重さ : 100 斤 腿比命长胸挺巨大 前凸后翘完美九头身 黄金比例 床上尤物惹人心动 服务配合主动完美女友幸福体验 バンコクの兄弟たちが私を満足させてくれることを願っています。 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#吉隆坡🇲🇾 _________________________1347号 N624 国籍:🇻🇳会说中文 名字: linh 年龄:20岁 身高:160 体重:45公斤 胸围:C 🇲🇾查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#曼谷🇹🇭 VNX 极品新到 🌤 𝐈 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐡𝐚𝐩𝐩𝐲 ʚ◡⃝ɞ ———————————————————— ꒰・身高/Height :170 ꒰・胸围/Bust :34D ꒰・体重/Weight: 50kg ꒰・年龄/age:01 大长腿腰臀比三点粉 高情商温柔优雅 皮肤又白又滑敏感体质 可多种姿势 配合度高 爱好:滑雪 钢琴 旅游 普拉提 体质敏感 易湿会** 主动配合100% 自动摇摇机 榨汁机 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
❤1
#吉隆坡🇲🇾 _________________________1352号 N629 国籍:🇻🇳 名字: 宝宝 年龄:22岁 身高:166 体重:48公斤 胸围:C 🇲🇾查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
#曼谷🇹🇭 VNX 极品 新到 🌤 𝐈 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐡𝐚𝐩𝐩𝐲 ʚ◡⃝ɞ ———————————————————— ꒰・身高/Height :170 ꒰・胸围/Bust :d ꒰・体重/Weight: 49kg ꒰・年龄/age:01 性格温柔有趣 💧多多 非常紧致 全身无赘肉 特点:超敏感体质 一碰就出水 鲜嫩多汁特骚不事逼 感觉到位🉑喷💦 🇹🇭查看更多… ————————————— 金牌客服:@kkqq04 @MeJianBot(双向)
Showing the 12 most recent of 169 posts we hold for @mei683. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@taiguo52 · 4,45482 posts马来西亚🇲🇾妹妹甄选💋蜜见💋
@malaixiya10 · 29743 posts🇦🇪迪拜外围💋蜜见💗
@dubai19 · 76624 posts🇦🇪迪拜外围上门💗蜜见
@dubaibaoyamg052 · 47824 posts新频道:@ccnvhai
@xianggang52 · 2,68713 posts香港🇭🇰澳门高端外围💗蜜见
@xianggangwaiweibaoyang · 1,14513 posts新加坡妹妹💗蜜见
@xinjiapo052 · 2163 posts💗包🈷️上新 💗蜜见💗
@baoyang0888 · 5642 posts包养 包月 生活助理💋蜜见💋
@baoyue696969 · 6,4562 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“海外高端外围妹妹💋蜜见💋” (@mei683), 11,705 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/mei683.
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.