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Channel
缅甸金三角吃瓜曝光大事件
@ViPAG88688
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,656subscribers
-9,334 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 | -1001658614244 |
|---|---|
| Type | Channel |
| Username | @ViPAG88688 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #迪拜 #金三角 缅甸/金三角特区/金边/大事件频道专注于金三角特区华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事 🎯投稿~商务合作: @j8998765 声明:频道只负责投稿发布信息,真假自行甄别,理性吃瓜,恶意投稿,后果自负! |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/ViPAG88688 |
Topic
International news — 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 82% 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 |
|---|---|---|
| 4 Oct 2026, 13:39 | 24,656 | -521 |
| 26 Sept 2026, 04:22 | 25,177 | -764 |
| 19 Sept 2026, 06:40 | 25,941 | -192 |
| 16 Sept 2026, 20:00 | 26,133 | -494 |
| 14 Sept 2026, 21:39 | 26,627 | +5,001 |
| 13 Sept 2026, 05:38 | 21,626 | -793 |
| 11 Sept 2026, 08:17 | 22,419 | +1,529 |
| 8 Sept 2026, 15:38 | 20,890 | +2,838 |
| 5 Sept 2026, 11:56 | 18,052 | -82 |
| 3 Sept 2026, 16:37 | 18,134 | -458 |
| 2 Sept 2026, 06:44 | 18,592 | -363 |
| 1 Sept 2026, 09:08 | 18,955 | -375 |
| 31 Aug 2026, 08:46 | 19,330 | -210 |
| 30 Aug 2026, 08:16 | 19,540 | -217 |
| 29 Aug 2026, 07:06 | 19,757 | -435 |
| 28 Aug 2026, 05:34 | 20,192 | -154 |
| 27 Aug 2026, 03:34 | 20,346 | -100 |
| 26 Aug 2026, 07:03 | 20,446 | -351 |
| 25 Aug 2026, 03:36 | 20,797 | -203 |
| 23 Aug 2026, 22:14 | 21,000 | first reading |
Engagement
152 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 76 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.68%
- avg views ÷ 24,656 subscribers
- Avg views / post
- 660
- 13 posts measured
- Reaction rate
- 2.17%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 152 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 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 152 (5 August 2026 – 20 September 2026) |
| Views total | 8,585 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 21:20 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
- ≈14,700
- Videos
- ≈1,380
- Links
- ≈4,700
Lifetime counters from Telegram’s own channel header, read 5 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
- 3m 33s
- Average length
- 24s
Measured directly from 9 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
19 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 36.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 36.8% | |
| 💯 | 6 | 31.6% | |
| 👍 | 5 | 26.3% | |
| 🔥 | 1 | 5.26% |
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 4 of the 152 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 152 most recent posts we hold, published 5 August 2026 to 20 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.
Recent posts
#金砖资讯:诈骗园区被纳入重点打击范围,跨境追赃盯上虚拟资产和支付通道 9月12日,金砖国家领导人在印度新德里通过《新德里宣言》,将有组织诈骗网络、跨境诈骗活动以及所谓“诈骗园区”列为需要共同应对的跨国犯罪威胁。 宣言提出,各成员国将加强联合执法、情报交换和案件协作,重点打击跨境诈骗网络,同时强化对诈骗集团犯罪所得的追踪、冻结、追回和返还。 资金链成为此次反诈合作的重点之一。宣言将非法虚拟资产、洗钱以及跨境诈骗资金流动纳入统一治理框架,要求金融情报机构、海关、执法、税务及监管部门加强协同,提高对可疑资金的识别和拦截能力。 此外,跨境支付系统和数字金融安全也被纳入合作范围,以防止支付渠道被诈骗集团利用。宣言还支持建立金砖国家资产追回专家网络,进一步加强成员国之间的跨境追赃合作。
#网友投稿:非洲“警用版”雷克萨斯与跑路的物业——一段灰产回忆 投稿人回忆在非洲工作的一段经历:坐在老板新买的雷克萨斯“警用版”里,顶着炎热的天气,和好朋友一起拼命工作。跟着“大哥们”的好处是能见到这辈子也碰不到的钱,但外出也很辛苦——非洲兄弟热情,但几乎人人都有狐臭,还有手抓饭和不知名手搓疙瘩,以及那双“仅有的白色小眼神”。 投稿人提到一个关键细节:当时非洲某国“土皇帝”要过不知名节日,大约半个月前就疯狂暗示,发现没人理睬后,保护费直接再加30万。物业被气得直接跑路,作为租客的他们被迫跟着跑。
#柬埔寨资讯:在西港搞绑架被抓是早晚的事 前两天说到的西港按摩店上门服务女郎被绑架事件,今天有网友给我反馈,绑匪一共3人,目前警方已经抓到了2人。 这个事情已经发生有几天了,新闻也已经过气了,本来也没啥可说的了。 不过,今天这位网友给我反馈,被绑架的按摩女郎是被绑匪约到了小旅馆,然后遭此厄运。而小旅馆的经营者,其实是中国人。 据这位网友反馈,小旅馆经营者对这些歹人的所作所为大概知情,但是为了买卖,他选择了无视。 据介绍,这些绑匪在西港溜冰、绑架,已经不是第一起。但是,几乎所有人都对他们保持了沉默,选择了纵容。 如果说,你没有勇气去举报他们,但至少可以拒绝容留这些人,让他们无处安身! 西港现在经济环境很差,做个买卖不容易,但是,也不能什么客户、什么生意都接!对这些坏人,请一律拒绝! 另外,也想对这些在逃的绑匪们说,你们的身份已经暴露了,在西港,你们被抓是早晚的事!
#金边:金边查获两处色情交易窝点 救出7名受害者并逮捕2主犯 据金边警方今天通报,金边专业执法部队在法院检察官协助下,于9月10日在波森芷区查处两家涉嫌色情交易的无名按摩店。 警方在两处地点共查获9人,其中包括1男1女两名店主,以及7名受害者(含4名未成年人)。目前,两名嫌疑人已被立案移送法院审理,7名受害女性则已移交金边市社会福利局妥善安置。
🔥1
#柬埔寨新闻 柬埔寨国公省卡车超速失控撞护栏侧翻,警方提醒谨慎驾驶 2026 年 9 月 12 日上午 9 点 30 分,柬埔寨国公省 48 号公路 129 至 130 公里塔塔下村路段发生交通事故。一辆白色诚鸿牌牵引卡车,搭配半挂拖车,挂金边号牌,满载水泥,从塔萨克驶往国公省方向。 因驾驶员疏忽大意并且超速行驶,车辆行驶途中失控,猛烈撞击路边护栏之后发生翻车。暂未披露人员伤亡详情。当地警方提醒,重载货车风险更高, 切勿超速、疲劳驾驶,雨天及山区道路更要减速慢行,保障行车安全。
#泰国新闻 🚔【挽叻警署巡查17处服务场所 2家超时营业被查】 2026年9月11日,曼谷挽叻警署联合SWAT部队巡查拉抛路-玛哈泰巷-城中城区域17处服务场所,查获2家超时售卖酒类,对98名消费者抽检毒品均未检出。警方强调将持续整治辖区秩序,严禁毒品、枪支、20岁以下人员进入及超时营业。
#柬埔寨新闻 🚔【金边浪漫诈骗案侦破 一女涉出售银行账户被捕】 2026年9月12日,柬埔寨反科技犯罪警官在金边拘留一名女子,其涉嫌将自己的手机号码及银行账户出售给社交媒体浪漫诈骗团伙,用于收取勒索款项并分得部分非法所得。警方警告民众勿向陌生人分享个人信息,否则可能面临刑事起诉。
#泰国新闻 🏦【泰国央行扩大职能打击黑钱 与11家金融机构签署备忘录】 2026年9月10日,泰国央行与11家金融机构及协会签署谅解备忘录,加强监管打击黑钱、在线赌博、诈骗及腐败。央行行长威泰表示,腐败由政客、公务员及大型企业家勾结形成利益网络,誓言全力履职切断非法资金链条,即便可能引发重大影响。
#台湾新闻 🔫【台北女子遭女枪手埋伏枪击 分居丈夫接应逃亡被捕】 2026年9月11日,台北市中正区一名50岁赵姓女子步出住处时遭女枪手近距离枪击,腹部中弹送医。警方追查发现,接应枪手逃亡的驾驶为被害人分居中的陈姓丈夫,其绕行国道企图拖延警力,最终在台中泰安休息站被捕。女枪手变装搭捷运逃往三重,警方正全力缉捕,全案朝杀人未遂等罪侦办。
#香港新闻 💰【男子涉拒分3000万六合彩奖金被捕 15人合资中头奖起纠纷】 2026年9月11日,香港警方逮捕一名36岁男子,其涉嫌拒绝与14名同事平分约3000万港元六合彩头奖奖金。据悉该团伙由食环署部分员工组成,合资购票中奖后,持票男子拒绝拆分奖金并引发纠纷,一名53岁同事报警称担心其独占奖金潜逃。
#泰国新闻 【大城府网红僧人阿赞初贪腐案新细节 47岁女伴身份曝光 查扣2.9亿存款1.38亿现金15公斤黄金🙏】 9月12日,泰国警方召开新闻发布会通报大城府名寺普泰沙万寺66岁住持阿赞初(哇集拉延)贪腐案最新进展,其47岁女伴身份曝光,自称出身名校,两年存下数亿泰铢。警方目前已查扣阿赞初银行存款超2.9亿泰铢、现金1.38亿泰铢、黄金15.2公斤价值7000万泰铢,在4个住处私藏金条和现金,警察不得不拿出点钞机清点。阿赞初涉嫌私吞9200万泰铢寺庙香油钱,违规开具捐赠收据,与女性信众发生不正当关系,目前已被拘留并逐出僧籍,面临贪污罪和洗钱罪指控。
Showing the 12 most recent of 152 posts we hold for @ViPAG88688. 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
Named by 1 registered channel — 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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“缅甸金三角吃瓜曝光大事件” (@ViPAG88688), 24,656 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/ViPAG88688.
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.