Channel
@abc03
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
216,678subscribers
-32,312 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001857772238 |
|---|---|
| Type | Channel |
| Username | @abc03 |
| Description | #东南亚 #柬埔寨 #缅甸 #泰国 #新闻 #亚美尼亚 严禁硬性广告 投稿: @KPI567 吃瓜频道： @KPI118 交流群： @KPI234 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/abc03 |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Oct 2026, 19:21 | 216,678 | -1,960 |
| 4 Oct 2026, 07:58 | 218,638 | -2,943 |
| 25 Sept 2026, 18:01 | 221,581 | -2,063 |
| 18 Sept 2026, 23:57 | 223,644 | -570 |
| 16 Sept 2026, 16:39 | 224,214 | -481 |
| 14 Sept 2026, 18:38 | 224,695 | -531 |
| 13 Sept 2026, 02:55 | 225,226 | -1,135 |
| 11 Sept 2026, 01:37 | 226,361 | -2,725 |
| 7 Sept 2026, 23:57 | 229,086 | -1,435 |
| 4 Sept 2026, 22:19 | 230,521 | -539 |
| 3 Sept 2026, 09:16 | 231,060 | -766 |
| 2 Sept 2026, 03:12 | 231,826 | -594 |
| 1 Sept 2026, 05:24 | 232,420 | -801 |
| 31 Aug 2026, 06:19 | 233,221 | -841 |
| 30 Aug 2026, 07:07 | 234,062 | -497 |
| 29 Aug 2026, 10:26 | 234,559 | -496 |
| 28 Aug 2026, 09:38 | 235,055 | -175 |
| 27 Aug 2026, 12:23 | 235,230 | -265 |
| 26 Aug 2026, 12:44 | 235,495 | -415 |
| 25 Aug 2026, 11:53 | 235,910 | first reading |
1,333 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 129 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 187 of 652 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 1,333 (7 August 2026 – 9 October 2026) |
| Views total | 2,352,747 |
| Reactions total | 252 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 09:50 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 9 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.
Measured directly from 312 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.
301 reactions across 227 posts, in 12 distinct kinds. The most used accounts for 33.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 100 | 33.2% | |
| ❤ | 27 | 8.97% | |
| 👏 | 27 | 8.97% | |
| 😁 | 27 | 8.97% | |
| 🥰 | 27 | 8.97% | |
| ⚡ | 23 | 7.64% | |
| 🔥 | 23 | 7.64% | |
| 🎉 | 22 | 7.31% | |
| 🤩 | 21 | 6.98% | |
| 👀 | 2 | 0.664% | |
| 🐳 | 1 | 0.332% | |
| 💯 | 1 | 0.332% |
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 233 of the 1,000 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 301 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 22 August 2026 to 9 October 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.
#老挝资讯：金三角经济特区持续打击电诈，267个诈骗呼叫中心被关闭，涉及16个国籍人员被捕 10月7日，老挝媒体报道称，波乔省当局持续加大对金三角经济特区电信诈骗及非法呼叫中心的打击力度。 金三角经济特区安全指挥部门负责人阿努辛·萨克帕塞乌斯上校（Anousin Sackpaseuth）表示，在此前开展的9轮执法行动中，当局累计关闭267个诈骗呼叫中心，并逮捕涉及16个国籍的人员。 目前，部分中国籍、越南籍涉案人员已被遣返回国，其他外国籍涉案人员的遣返工作仍在与相关国家使馆协调。另有在相关呼叫中心工作的老挝籍人员，在接受书面警告后被送回家中。 报道称，自今年8月起，当局已部署250名来自地方及网络安全部门的工作人员，在经济特区内4个重点区域展开调查和清理行动。 老挝方面表示，后续将继续加强执法，并与区域及国际合作伙伴协调，打击跨国电信诈骗及其他非法活动。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 …
美国国务院：柬埔寨高级官员庇护电诈园区 美国国务院最新发布的《2026年人口贩运报告》将柬埔寨列为第三级（Tier 3），即人口贩运问题最严重的评级类别。这是柬埔寨自2022年以来连续第五年处于这一最低等级。 报告指出，柬埔寨政府未达到消除人口贩运的最低标准，也未在相关方面作出显著努力。报告称，部分政府高级官员、顾问及执法人员从诈骗园区的人口贩运活动中获利，并干预执法、保护园区运营，还对受害者和民间社会组织实施恐吓。 报告同时指出，柬埔寨政府近期加大了针对诈骗中心的执法力度，包括开展突击检查和逮捕行动，并抓捕了部分知名跨国犯罪组织头目。但美国国务院认为，柬埔寨存在选择性执法问题，政府很少追究高级别犯罪者及涉案官员的刑事责任。尽管当局开展大规模打击行动，报告称，柬埔寨尚未起诉任何与诈骗园区活动有关的人口贩运犯罪者。 报告还提到，部分政府高级官员、高官家属及与高层关系密切的商界人士，被指参与诈骗园区经营、从中获利，或拥有园区…
几天前在 UK Condo 被捕的人员已陆续获释；总共 13 人支付了 32,000 美元。这可不是抢劫——这是勒索。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#菲律宾资讯：诈骗越来越猖獗：84%受访者一年内遇到诈骗，报案的只有4% 10月8日，全球反诈骗联盟发布最新调查报告，对1160名菲律宾成年人进行调查，发现84%的受访者在过去一年内遇到过诈骗，高于2025年的77%。 虽然58%的受访者认为自己能够识破骗局，但在遇到过诈骗的人当中，仍有60%曾与骗子互动。调查还发现，15%的受访者因被骗或个人信息泄露遭受金钱损失，但真正向执法部门报案的只有4%。 报告反映出菲律宾诈骗问题日益严重，接触诈骗的人越来越多，不少人即使认为自己能够识破骗局，仍可能落入骗子的圈套，而实际报案的人却少得可怜。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
10月9日，柬埔寨媒体报道，美国联邦调查局（FBI）代表团于10月8日前往柴桢省巴域市，实地考察此前被指涉及网络诈骗活动的场所。 代表团由FBI执法联络部门负责人Julia Stevens带队，并与当地官员举行会谈，了解柬埔寨针对网络诈骗场所的清查行动。 此次访问反映出美柬执法机构正在就跨境网络犯罪加强沟通。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#群友爆料：我是住在太子寰宇的一名无辜者，10月1号宪兵突击检查太子寰宇，在回家电梯口无缘无故被捉到警察局了，进来才发现很多人都是证件齐全被捉进来了，现在被关在里面已经有一个多星期了，被捉进来到现在没人理会，也没有说录口供之类的，没有饭没有水给我们吃喝，想要吃饭就要花钱在警察局里面的餐厅，连上个厕所也要收取2万瑞尔。 进来这里的中国人警察都会明码标价的收取释放费，有的花1.5万，有的2万💲放出去了，反正各种价格的都有，直到昨天找我们录口供，录完口供后一名翻译就跟我说释放需要3万💲，如果不交钱就叫我在口供书面签字，里面完全不是我的口供，大概写的是“疑似诈骗行为” 我们不是诈骗，为什么捉我们进来？ 难道难道柬埔寨这个地方没有法律，没有人权可讲吗？ PS：真是个腐败的国家~~为了捞钱一点脸都不要了 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#群友投稿：在缅甸这种园区算良心园区了吧？？公司不能有电棍，打人的抓到了重罚~~ 相反在缅甸的园区，只要是经常打人，电人的那种绝对是黑园区！！ 群主之前在KK的时候 电棍都是24小时营业的 从不歇业~~ 几十根电棍都是轮流充电，每个月电棍充电都占了电费的80% 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
美国直接接触缅甸军政府！重点清剿针对美国人的电诈园区，FBI已介入交涉 有消息披露，美国官员已与缅甸军政府展开直接接触，被指是2021年缅甸军事政变以来双方最高级别的接触之一。 此次磋商涉及跨境网络诈骗、被扣押美国公民以及稀土资源合作等议题。 打击针对美国人的电诈园区成为重要议题。 据报道，美方希望推动缅甸当局关闭境内针对美国公民实施诈骗的犯罪窝点，同时协助解决美国公民被扣押问题。 美国联邦调查局（FBI）也已就网络诈骗问题与缅甸有关方面进行接触，显示美方正尝试通过执法合作与外交渠道，推动打击跨国诈骗网络。 不过，有研究人员指出，缅甸部分电诈园区位于亲军方地方武装或民兵势力控制区，相关组织与园区之间的利益关系复杂。 因此，即使双方达成合作意向，实际清剿力度及后续执行效果仍有待观察。 随着美国加强跨境反诈执法，专门针对美国受害者的诈骗网络可能面临更大的调查与追责压力。 PS：缅甸干美国盘的要小心了，史密斯专员也不…
#网友投稿：柬埔寨打击电诈背后的真相，中国人的人权究竟在哪里？ 最近，柬埔寨掀起了一场轰轰烈烈的“打击电诈”行动。表面上是在维护治安，但真正身处其中的人深知，这场所谓的“严打”早已变了味。它不是在消灭罪恶，而是一场针对中国人的合法勒索和财富掠夺！ 作为一名有良知的中国人，我必须为在柬埔寨的同胞发声，把那些隐藏在聚光灯背后的腐败与黑暗曝光给全世界！ 一、“不分青红皂白”的抓人：同一栋楼，只要有电脑就全部带走 在这场所谓的清查中，柬埔寨执法部门根本不讲证据，也完全不区分是合法经商还是违法犯罪。 • 无差别抓捕：只要同一栋楼里发现有电脑，执法人员不管三七二十一，将里面所有人全部抓走！这直接连累了大量在柬埔寨循规蹈矩、投资经商的清白中国公民。 • 美金是唯一的通行证：在这里，抓人不是为了正义，真正的目的是为了钱。被抓进去后，一个人最少要交一万美金才能被放出来。有钱的交钱放人，没钱的才会被遣送回国。 二、人间地狱：恶劣的关押…
#网友投稿：长长久久打野 在河内富川的公寓里面度过了整整六个月的打野生活，意犹未尽地就搬去了新地方——谅山。对于公司的这个安排，我们虽有不满的情绪，但为了赚钱，不得不照做。不想离开河内的原因，无非是对这边更熟悉，吃喝玩乐也更方便。 截止到十月份，搬来谅山打野已经有二十多天的时间了。我们部门是由主管现场监督指挥，带着两组人马的老乡团队，租住在同一栋公寓里面打野办公。其实，我们公司在河内还有好多个部门继续在那边的公寓里面打野，分散在河内的梅林、富川、美德各个不同的郡县。公司一直在严厉禁止我们不同部门的人在现实中串门来往。 公司如果有人发现私自带人去公司的打野公寓里面，可以举报拿大额奖励。早在去年，公司因为有员工经常在不同部门的打野公寓里面串门，被人举报端了。被抓的几间公寓里面的所有员工、领导，已被遣返回国。这批遣返回国的人，反手在国内又举报揭发了公司的盘总。盘总很慌，此后就一直严厉禁止手底下的员工们有密切来往的行为。近一年半载…
#群友投稿：在东南亚待久了才明白：免费的东西，往往最容易让人忘了成本 真正付出过代价，才会懂得什么叫价值。刚出来的时候，总觉得朋友多一点、资源多一点、有人愿意帮你，路就能好走一点。 后来才发现，免费的热情未必长久，随口答应的承诺也未必作数。你吃过的亏、熬过的夜、被人坑过的钱，最后都会变成你看人的标准。以前觉得感情最重要，后来觉得利益也没那么重要。真正值钱的，是别人愿意在你落魄的时候拉你一把，而不是等你有价值了，才过来和你称兄道弟。 东南亚的路还很长，但人这一辈子，能遇到几个真心的人，已经很难得了。所以以后，免费的好意少当真，昂贵的教训别白吃。吃过亏，才知道谁值得；付出过，才明白什么叫珍惜。 📢 东南亚头条新闻 🔗 频道 @abc03 😘 爆料 @kPI567
#巴基斯坦资讯：拉合尔突袭两处诈骗呼叫中心，26人被捕，其中17名女性 10月8日，巴基斯坦国家网络犯罪调查局（NCCIA）拉合尔分局开展两次独立执法行动，突袭两处涉嫌网络诈骗及网络诱骗的呼叫中心，共逮捕26名嫌疑人，其中包括17名女性和9名男性。 据当地媒体报道，第一处呼叫中心涉嫌通过网络诱骗男性受害者。嫌疑人利用社交平台与男性建立联系，通过长时间聊天培养关系，随后诱导对方进行视频通话，并以不当视频互动等方式获取网络礼物及其他经济利益。 执法人员在现场查获35部手机和2台笔记本电脑，相关案件编号为234/26。 第二处呼叫中心位于拉合尔的 Allama Iqbal Town，涉嫌以手机换新、通信服务及优惠套餐为诱饵，针对英国公民实施诈骗。嫌疑人向受害者承诺，在收到付款后提供手机或相关服务，但收款后迟迟不交付商品，并以更改交货日期等方式拖延，且拒绝退款。 此次行动中，警方逮捕9名男性嫌疑人，并查获10部手机和5台笔记本…
Showing the 12 most recent of 1,333 posts we hold for @abc03. 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.
@abc03 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件|头条新闻” (@abc03), 216,678 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/abc03.
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.