🇲🇲 缅甸领导人敏昂莱将于9月中旬访问柬埔寨 据柬媒消息,缅甸领导人敏昂莱将于9月11日至12日对柬埔寨进行国事访问。柬方相关部门已开会部署接待、安保及秩序保障工作,确保访问顺利举行。 柬埔寨参议院发言人谢蒂里表示,此访旨在巩固柬缅双边关系与合作。访问期间,敏昂莱将与参议院主席洪森及总理洪玛奈等柬方高层举行会晤。 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件

Channel
东南亚资讯
@zx456
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
12,185subscribers
-5,896 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003945256569 |
|---|---|
| Type | Channel |
| Username | @zx456 |
| Created | Between 1 April 2026 and 11 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/zx456 |
Topic
National 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 52% 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 |
|---|---|---|
| 30 Sept 2026, 19:17 | 12,185 | -768 |
| 18 Sept 2026, 05:01 | 12,953 | -234 |
| 16 Sept 2026, 00:57 | 13,187 | -261 |
| 14 Sept 2026, 04:20 | 13,448 | -272 |
| 12 Sept 2026, 13:40 | 13,720 | -203 |
| 10 Sept 2026, 09:37 | 13,923 | -396 |
| 7 Sept 2026, 05:18 | 14,319 | -351 |
| 4 Sept 2026, 15:39 | 14,670 | -173 |
| 3 Sept 2026, 01:08 | 14,843 | -141 |
| 2 Sept 2026, 02:33 | 14,984 | -52 |
| 1 Sept 2026, 04:04 | 15,036 | -51 |
| 31 Aug 2026, 07:13 | 15,087 | -92 |
| 30 Aug 2026, 06:16 | 15,179 | -201 |
| 29 Aug 2026, 04:23 | 15,380 | -305 |
| 28 Aug 2026, 03:06 | 15,685 | -98 |
| 27 Aug 2026, 01:13 | 15,783 | -82 |
| 26 Aug 2026, 03:08 | 15,865 | -177 |
| 25 Aug 2026, 03:43 | 16,042 | -221 |
| 23 Aug 2026, 21:37 | 16,263 | -147 |
| 22 Aug 2026, 07:55 | 16,410 | first reading |
Engagement
323 posts held, back to 11 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.022%
- avg views ÷ 12,185 subscribers
- Avg views / post
- 2.7
- 42 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 42
- of 323 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 323 (11 August 2026 – 3 September 2026) |
| Views total | 112 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:13 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
- 53m 23s
- Average length
- 32s
Measured directly from 101 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.
Recent posts
东南亚诈骗集团未瓦解:持续向缅老马转移 柬埔寨虽宣称已铲除境内诈骗园区,但观察人士指出,东南亚诈骗网络并未瓦解,而是向缅甸、老挝、马来西亚等地迁移重组。 联合国报告显示,2025年亚太地区诈骗损失高达880亿至1140亿美元,超过柬缅两国GDP总和。 据救援组织透露,约1至2万名外国诈骗人员从柬埔寨转入缅甸边境,缅境内仍有1.37万人被困。泰国近期截获5名经泰赴马的中国诈骗嫌犯,显示网络正向南扩散。 缅甸克伦边防军控制区上月新增至少8个园区,老挝中国投资特区也成为新据点,今年已逮捕6200余人。 救援组织呼吁,须进行系统性打击——追踪迁移、摧毁据点、冻结资产、阻断招募,方能取得实质进展。 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#网友投稿:不要去山里上班,不安全淹水,来检查没地方跑 亚太不要去山里上班,出进不方便,离职送出来需要3-4万路费! 在亚太上班吧!现在离职公司不帮送出来,自己找车要3.5w送出来,公司环境不好到处是水蚊虫,公司只管找钱不管员工死活,现在出去不知道 怎么办了 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
🇻🇳 越南特大跨国贩毒案宣判:11人死刑,20人无期! 据路透社及越南官媒报道,胡志明市人民法院今天对一起特大跨国毒品案宣判,11名被告被判处死刑,至少20人被判无期徒刑。该案共涉及227名被告。 此案源于2023年3月,4名越南航空空姐从巴黎飞抵胡志明市时,被查出随身携带的157管牙膏中藏有超10公斤毒品。调查证实空姐系在不知情下被利用,警方顺藤摸瓜破获了该从法国向越南走私毒品的犯罪网络。 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#群友反馈:今天下午七星海也开始大检查啊 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#群友反馈:蓝湾现在进入了很多宪兵队开始检查了 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#网友投稿:老挝金三角特内桐琴和万国公寓都有警察,据说是来检查办公的, 没有查护照 现在桐琴已经进入D栋检查,治安局和中国成龙一起的,物业老板都过来了,万国公寓已经上楼检查,楼下电梯口还有几个治安局在守着 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
🇱🇦乌多姆赛省捣毁3处涉赌诈窝点,抓获52名嫌疑人(含25名中国籍) 老挝媒体9月2日报道:8月25日至27日,乌多姆赛省公安厅联合属地县公安力量,对孟昏县、巴本县的3处窝点同步开展收网行动,抓获52名涉嫌网赌电诈的涉案人员。 涉案人员来自6个国家:中国籍25人、越南籍17人、老挝籍7人,马来西亚、缅甸、土耳其籍各1人。 现场查获台式电脑27台、笔记本电脑1台、手机21部以及3套星链(Starlink)卫星网络设备。 警方调查显示,该团伙此前在博胶省金三角经济特区活动,8月初分批转移至乌多姆赛省。部分人员从会晒乘船沿湄公河南下抵达巴本县,再转车前往洪县藏匿。 团伙在洪县纳洪村租下16间房屋,月租金约1亿基普(约合4450美元)。该团伙共有5名头目,负责人员调度、交通、住宿及生活安排,分别为中国籍陈贵、李义、李杰、钟建勇与土耳其籍陈高勇。(姓名均为音译) 窝点8月17日启用,仅8天,8月25日便被警方突击查处。 目前…
#网友投稿:金三角特区孟赛物业今天半夜被突袭是因为有人举报 地址在鑫城对面【图1】,原唐人国际4幢老板,大金主,大表哥,原名:李志勤,2024年,大表哥”曾出资购买唐人国际2栋,并参与建设老缅新村对面的明丰大厦、众合公寓。 重点来了:金三角特区正在实行相关禁令和清理行动,但据爆料,其旗下部分业务仍未完全停止,目前仍有泰国精聊、缅甸精聊、商城刷单等项目运作。 办公地点据称在新城红楼对面1号楼酒店公寓12楼、16楼部分房间,以及特区外也存在其他办公据点。 PS:听说是因为纠纷,然后就被举报了, 地址位置都标记出来了!下午的事情! 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
🇲🇲 缅甸诈骗大王获刑43年 缅甸一桩涉案金额达数百亿缅币的特大金融诈骗案日前宣判。诈骗头目“尼尼绥博士”因打着外汇及股票投资旗号、承诺15%月收益疯狂吸金,被法院以经济犯罪判处43年监禁,名下资产全部收归国有。 该案波及仰光、曼德勒等多地民众,受害者涵盖普通百姓、难民乃至出资投资的寺院僧侣。因罪犯资产已被国家没收,成千上万受害者的积蓄与香火钱恐面临无法追回的绝境。 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#网友爆料:缅甸妙瓦底【瓦雷村度假村园区、 玉米地园区、 168园区】。园区里面大概有2000至5000人左右,大部分人员是被强压、贩卖以及诱骗过来的,还有很多管理都是国内红通人员。 园区里面全都是黑公司、黑管理,每天强迫工作16至18小时,强行剥夺员工的睡眠时间,每天没有业绩和数据就被拉到办公室几个管理轮流折磨、殴打,赔付拉满。拿不出钱的直接送兵站小黑屋,有的拿出赔付的送出园区门口,转手卖到其他园区。 这里大部分做国盘的和美国精聊,危害国人,对待员工非常的残忍,不是被折磨的伤痕累累就是被关起来,很多同胞不是手残的就是腿瘸的,公司和物业狼狈为奸,表面营造良好的工作环境,背地殴打员工、抠扣工资、倒卖人口、扣押员工。 希望中国有关部门、美国FBI以及其他相关有关部门能够关注此园区。 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
#温馨提示:最近柬埔寨大检查,有护照的尽量别住小酒店和小公寓,最好去一些大酒店和公寓住,即使被检查也不会被打野的连累到 很多住小酒店和公寓的虽然没有任何违法行为,但不能保证因为那些打野团队的影响被带走,还有就是房间别放任何电脑,玩游戏的也不行,今天西港很多证件齐全人的都被打野的给连累了,宁愿花点钱也不要被连累抓紧去了!!! 🔔 订阅频道:@zx456 ✍️ 欢迎投稿:@okx111 🥇柬埔寨大事件🥈缅甸大事件
Showing the 12 most recent of 323 posts we hold for @zx456. 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 2 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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚资讯” (@zx456), 12,185 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/zx456.
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.