🔥包夜 night 🔥 813 地点 location:#吉隆坡 #KualaLumpur 🇲🇾 快餐 quick 1 hr:4000 🐎 包夜 night 6–8 hrs:8000 🐎 🇷🇺俄罗斯 × 🇰🇷韩国混血 22岁|162cm|82斤|天然 D+ 皮肤白皙紧致|水蛇腰|马甲线|漫画身材 兴趣:看书 / 书法 / 钢琴 / 健身 已抵达吉隆坡|开始工作 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778

Channel
俄罗斯乌克兰妹子 老外的资源
@eluosiwukelanmeizi99
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,972subscribers
+273 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 | -1001594775804 |
|---|---|
| Type | Channel |
| Username | @eluosiwukelanmeizi99 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/eluosiwukelanmeizi99 |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 15:21 | 8,972 | +58 |
| 12 Sept 2026, 01:21 | 8,914 | +113 |
| 7 Sept 2026, 15:02 | 8,801 | -8 |
| 2 Sept 2026, 22:24 | 8,809 | -3 |
| 31 Aug 2026, 05:04 | 8,812 | +17 |
| 28 Aug 2026, 01:54 | 8,795 | +21 |
| 24 Aug 2026, 15:11 | 8,774 | +17 |
| 21 Aug 2026, 02:44 | 8,757 | +15 |
| 18 Aug 2026, 07:03 | 8,742 | -2 |
| 14 Aug 2026, 20:48 | 8,744 | +28 |
| 11 Aug 2026, 09:33 | 8,716 | +13 |
| 8 Aug 2026, 06:27 | 8,703 | +4 |
| 7 Aug 2026, 12:03 | 8,699 | first reading |
Engagement
81 posts held, back to 7 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 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.03%
- avg views ÷ 8,972 subscribers
- Avg views / post
- 272
- 10 posts measured
- Reaction rate
- 0.284%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 81 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 2 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 81 (7 August 2026 – 28 August 2026) |
| Views total | 2,719 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:17 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
- Video runtime
- 5m 19s
- Average length
- 11s
Measured directly from 28 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
16 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 81.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 81.3% | |
| 👍 | 3 | 18.8% |
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 81 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 16 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 7 August 2026 to 28 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
🔥模特接待🔥 no.pw asmi 地点location : #曼谷 🇹🇭 快餐quick 1-2 hrs🥢 :600 美 包叶 night 6-8 hrs✌️ :— Алиса(Alisa) 26岁|170cm|55kg 俄罗斯🇷🇺 气质成熟御姐型 性格温柔好沟通 身材匀称比例好 无纹身 ———————————————— 咨询 @kkqq11234567 5分钟未回复联系 @kkppll66778
🔥包夜 night 🔥 no. oa570 nicky 地点location : #bangkok #曼谷 🇹🇭 快餐quick 1-2 hrs🥢 :12,000🐷 包夜night 6-8 hrs✌️ :16,000🐷 混血妹妹 真🐻 三围:34-23-35 、身高:163 体重:44 KG ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 pw341 地点:#普吉岛 🇹🇭 #Phuket #Thailand 快餐 quick 1 hr🥢:1000 u Polina|24岁|俄罗斯籍 🇷🇺 身高:160cm|体重:50kg|罩杯:A 三围:76/60/92 职业:营养师|平面设计师 爱好:健身|普拉提|冬季两项 ⛷️|绘画 🎨|跳舞|唱歌 🎵 性格积极随和,会聊天、会营造轻松愉快的氛围 🕊️ ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 pw340 地点:#广州 🇨🇳 #Guangzhou #China 快餐 quick 1 hr🥢:1000 u Thassia|25岁|巴西籍 🇧🇷 职业:Model 模特 身高:175cm|体重:53kg 目前在广州 🇨🇳 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
❤1
🔥包夜 night 🔥 no.ws amor 地点location : #台湾 🇹🇼 快餐quick 1-2 hrs🥢 :1000 美 包夜night 6-8 hrs✌️ :2000 美 Fatima|22/170/55 巴西 🇧🇷|天然身材|会英文|身材匀称 气质甜美 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 no. pw685 地点location : #香港 🇭🇰 快餐 quick 1-2 hrs🥢 :1000u 包夜 night 6-8 hrs✌️ :2000u ———————————————— 名字 Name:Mira 🇷🇺 Russian 21岁|170cm|48kg|真🐻1(natural) ✨年轻甜美 ✨身材纤细 ✨可英语交流 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 no. ws339 地点location : #香港 🇭🇰 快餐 quick 1-2 hrs🥢 :900u 包夜 night 6-8 hrs✌️ :2000u ———————————————— 名字 Name:Mira 🇷🇺 Russian 19 岁|170cm|48kg|真🐻(natural) ✨年轻甜美 ✨身材纤细 ✨可英语交流 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 no. ws miya 地点location : #首尔 %韩国 🇰🇷 快餐quick 1-2 hrs🥢 :1000 u 包夜night 6-8 hrs✌️ :2000 u Miya|08/165/44 真🐻未填 韩国🇰🇷|无纹身|气质清纯 身材娇小|甜妹类型|青春感强 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 ws338 地点:#白俄罗斯 🇧🇾 #Belarus 快餐 quick 1 hr🥢:1000 u Anastasiya|21岁|白俄罗斯籍 🇧🇾 身高:173cm|体重:57kg ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 ws77 地点:#普吉岛 🇹🇭 #Phuket #Thailand 快餐 quick 1 hr🥢:700 u Dana|24岁|东欧 🇪🇺 身高:168cm|体重:54kg|B杯 三围:90-63-93 100% 照片本人|全自然 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
🔥包夜 night 🔥 ws335 地点:#迪拜 🇦🇪 #Dubai #UAE 快餐 quick 1 hr🥢:1000 u Kateryna|24岁|乌克兰 🇺🇦 身高:171cm|体重:50kg 三围:90-60-92|胸:3 蓝眼睛 💙 健身模特|Blogger Miss Charity Queen of Ukraine 2025 👑 ———————————————— 咨询东南亚🐻最大的妈咪 @kkqq11234567 5 分钟没有回复/反馈/谈合作 @kkppll66778
❤2
Showing the 12 most recent of 81 posts we hold for @eluosiwukelanmeizi99. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@KKquanqiu99 · 5,8554 postscyprus 塞浦路斯妹子 🇨🇾
@bkkche88 · 173 posts🇵🇱 波兰 Poland 妹妹
@bolanmeizi · 113 posts🇭🇺 匈牙利 Hungary
@xiongyalimeizi · 102 posts东南亚泰国🇹🇭曝光新闻
@baoguangxinwen99 · 901 postkk 妈咪 自我介绍频道
@kkmamikeaima666 · 1,3201 post摩纳哥妹子 🇲🇨
@monagemeizi99 · 101 post在葡萄牙🇵🇹妹子
@putaoyameizi99 · 91 post温哥华 加拿大 🇨🇦 妹子
@wengehuameizi99 · 141 post英国🇬🇧伦敦 妹子
@yingguomeimei99 · 1441 post
Republishes
Channels on the register whose posts this channel has forwarded.
@dubaieluosi99 · 21710 posts在西班牙🇪🇸的妹子
@xibanyameimei99 · 5610 posts俄罗斯妹子在土耳其
@eluosizaitueriqi99 · 836 posts俄罗斯妹子在加州
@eluosimeizizaijiujinshan99 · 313 posts俄罗斯在吉隆坡
@jilongpodeeluosi99 · 2503 posts曼谷的俄罗斯🇷🇺妹子
@mangueluosi99 · 7933 posts圣彼得堡妹子 Saint Petersburg
@saintmeizi99 · 533 posts澳门🇲🇴香港🇭🇰 的俄罗斯🇷🇺乌克兰🇺🇦妹子
@aomeneluosi99 · 3032 posts巴黎妹子 🇫🇷 (法国)
@balimeimei99 · 532 postskk 妈咪 自我介绍频道
@kkmamikeaima666 · 1,3202 posts莫斯科的俄罗斯妹子
@moscowmeimei99 · 2382 posts普吉岛的俄罗斯🇷🇺妹子
@pujidaodeeluosi99 · 1242 posts美国 🇺🇸 拉斯维加斯
@LVmeimei99 · 451 post阿根廷妹子 🇦🇷
@agentingmeizi99 · 81 post澳大利亚🇦🇺妹妹
@aodaliyameimei99 · 1021 post在德国的妹子 🇩🇪
@deguomeizi99 · 241 post俄罗斯妹子在伦敦
@eluosimeizizailundun99 · 481 post俄罗斯妹子在迈阿密
@eluosimeizizaimaiami99 · 191 post非洲妹妹
@feizhoumm99 · 1341 post韩国妹子在首尔
@hanguozaishouer99 · 1211 post俄罗斯妹子在纽约
@niuyuedeeluosimeizi99 · 291 post瑞士🇨🇭妹子
@ruishimeizi99 · 171 post台湾妹子
@taiwanmeizi99 · 7351 post曼谷的泰国🇹🇭妹妹
@tuijiandetaiguo99 · 8021 post在中国的俄罗斯
@zaizhongguodeeluosi99 · 2371 post
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 11 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.
@YTT783 · 80,98216 posts点亮曝光吧🔍
@DLBGB · 596,96715 posts国内吃瓜/国内事件/国内爆料/吃瓜频道
@lee_001122 · 83,81615 posts【东南亚】曝光悬赏吃瓜
@YTT357 · 307,11015 posts亚太求职/甩人/找工作
@YTT789 · 319,23415 posts文案馆向西走/头像/素材
@YTT786 · 86,72114 posts泰国旅游 🇹🇭 伴游/萝莉导游 ✈️ @kkqq11234567
@taiyoulvyou99 · 4982 posts东南亚泰国🇹🇭曝光新闻
@baoguangxinwen99 · 901 post工作助理 翻译 推广 人资群
@gongzuorenyuan99 · 1,6251 postJobs in SEA 东南亚工作
@jobinSEA99 · 6391 postkk 妈咪 自我介绍频道
@kkmamikeaima666 · 1,3201 post
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“俄罗斯乌克兰妹子 老外的资源” (@eluosiwukelanmeizi99), 8,972 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/eluosiwukelanmeizi99.
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.