Channel
@ukevjiv6
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
50,523subscribers
+14,931 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001965762989 |
|---|---|
| Type | Channel |
| Username | @ukevjiv6 |
| Description | 🌍 东南亚头条 曝光 · 新闻-黑料 🔍 事件新闻爆料： @dnyxw192 🔍 东南亚大事件曝光: @dnyxw191 🔍缅甸『今日头条』： @dnyxw193 🔍越南泰国新闻曝光: @mlxy1218 🔍柬埔寨头条曝光： @hjklnf778 🔍马来西亚新闻曝光: @hongyunlin1 🔍『西港黑料』曝光: @ukevjiv6 🔍缅北大事件曝光： @facaiqq686868 🔍网红 ❤️主播 : @cosfeng3 💁📲商务合作： @wwish996 |
| 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 | 3 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/ukevjiv6 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 18:20 | 50,523 | -539 |
| 2 Sept 2026, 13:07 | 51,062 | -841 |
| 1 Sept 2026, 10:23 | 51,903 | -1,079 |
| 31 Aug 2026, 11:06 | 52,982 | -1,761 |
| 30 Aug 2026, 09:48 | 54,743 | -683 |
| 29 Aug 2026, 06:37 | 55,426 | -456 |
| 28 Aug 2026, 04:56 | 55,882 | +16,289 |
| 27 Aug 2026, 04:22 | 39,593 | +4,977 |
| 26 Aug 2026, 07:09 | 34,616 | -34 |
| 25 Aug 2026, 06:52 | 34,650 | -186 |
| 24 Aug 2026, 09:55 | 34,836 | -95 |
| 22 Aug 2026, 15:22 | 34,931 | -337 |
| 21 Aug 2026, 08:36 | 35,268 | -233 |
| 20 Aug 2026, 10:45 | 35,501 | -2 |
| 19 Aug 2026, 12:48 | 35,503 | -8 |
| 18 Aug 2026, 13:04 | 35,511 | -16 |
| 17 Aug 2026, 13:29 | 35,527 | -12 |
| 16 Aug 2026, 05:47 | 35,539 | -7 |
| 14 Aug 2026, 18:26 | 35,546 | -13 |
| 13 Aug 2026, 08:04 | 35,559 | first reading |
343 posts held, back to 5 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 60 pages of Telegram’s post history, 20 posts per page.
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 8 of 312 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 343 (5 August 2026 – 4 September 2026) |
| Views total | 218,669 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Sept 2026, 19:48 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.
Lifetime counters from Telegram’s own channel header, read 4 September 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.
Measured directly from 47 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.
8 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 2 | 25.0% | |
| 🤩 | 2 | 25.0% | |
| ❤ | 1 | 12.5% | |
| 🎉 | 1 | 12.5% | |
| 😁 | 1 | 12.5% | |
| 🥰 | 1 | 12.5% |
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 8 of the 343 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 343 most recent posts we hold, published 5 August 2026 to 4 September 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.
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#柬埔寨 #西港 假招工抢劫，嫌犯躲海豚酒店 一个中国男的专门拿招工当幌子，把女孩单独骗进房间，然后直接动手抢劫。 最新一起就发生在海豚酒店。好在那家公司有规定，上门不准带贵重物品，所以这次损失不大。 这货现在躲在海豚酒店里，警方已经在通缉他了。 在西港的姐妹们自己多长个心眼，别轻易信什么招工上门，单独进房那种，太他妈危险。 🖋广告合作：👤山野藏秋
西港警方突查排屋 逮捕10名涉诈及非法居留中国籍人员 昨天，西港市联合指挥部对位于4分区5村同一街区内的3处排屋展开公开行政检查。 行动中查获118部手机、4台笔记本电脑及1台平板电脑。警方现场逮捕10名中国籍嫌疑人（含2女），其中4人涉嫌网络诈骗（1人无护照），6人属非法居留（含2女）。 目前，涉案人员及物证已移交西港省警察局依法处理。 🖋广告合作：👤山野藏秋
柬埔寨大事件曝光『西港黑料』 pinned a video
💩#频道互推 🔗 📢 新闻头条事件 📢 今日曝光 📢 内涵段子 📢 求职甩人招聘 📢 亚太新闻 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 泰国新闻 ------------------------------ 📢 吃瓜搞笑猎奇新闻 📢 西港日记📔柬埔寨新闻中心 📢 素…
#柬埔寨 2026年9月2日，波萝勉省举办省级一站式服务窗口及市、县、乡级一站式服务办公室服务工作宣传咨询研讨会。省长苏安·苏马林、省议会议长托奇·塞塔及省议会相关成员出席并主持活动闭幕式。会上，苏安·苏马林重点强调，搭建并完善一站式出入境及政务服务机制，是柬埔寨王国政府地方行政管理领域具有里程碑意义的重要改革。 该改革旨在推动政务服务下沉基层、贴近民众，通过精简繁琐办事流程、规范服务标准、提升政务公开透明度，有效整治政务服务中的各类消极乱象，切实优化群众办事体验。 本次研讨会期间，全体参会代表围绕省、市县、乡街三级一站式政务服务窗口的筹备建设、日常运营、服务落地等核心议题，开展深入交流与热烈研讨，梳理现有工作短板，探讨优化服务的可行路径。 为持续升级一站式政务服务质效、打通便民服务壁垒，苏安·苏马林明确四项重点推进工作。一是强化队伍建设，通过开展数字技术实操培训、职业道德规范教育，全面提升政务工作人员的专业能力与职业素养。二是…
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柬埔寨大事件曝光『西港黑料』 pinned a video
金边电诈公司迁至边境，迎接9月国际会议 柬埔寨将于9月举办打击网络诈骗国际会议。为此，警方近日在多地发起突查行动以作“收官”准备，官方宣布“电诈清零”，而金边部分电诈公司则配合地暂时迁往边境办公。 柬埔寨将于9月23日至24日在金边举办打击电信网络犯罪国际会议。 🖋广告合作：👤山野藏秋
Showing the 12 most recent of 343 posts we hold for @ukevjiv6. 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.
Named by 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件曝光『西港黑料』” (@ukevjiv6), 50,523 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/ukevjiv6.
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.