Channel
@hyxw4
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
77,008subscribers
+50,084 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002178499505 |
|---|---|
| Type | Channel |
| Username | @hyxw4 |
| Description | #东南亚 #柬埔寨 #缅甸 #泰国 #菲律宾 《缅甸大事件》官方电报频道，聚焦缅甸，专注于东南亚华人最新新闻动态资讯，生活故事分享。 其他缅甸大事件均为模仿盗版！请注意识别，防止被诈骗或敲诈勒索！ 商务合作: @feihang |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/hyxw4 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 |
|---|---|---|
| 17 Sept 2026, 20:55 | 77,008 | -11 |
| 15 Sept 2026, 17:01 | 77,019 | -16 |
| 13 Sept 2026, 22:01 | 77,035 | -25 |
| 12 Sept 2026, 07:38 | 77,060 | -67 |
| 10 Sept 2026, 02:56 | 77,127 | -143 |
| 6 Sept 2026, 22:16 | 77,270 | -110 |
| 4 Sept 2026, 07:00 | 77,380 | -43 |
| 2 Sept 2026, 18:09 | 77,423 | -9 |
| 1 Sept 2026, 18:04 | 77,432 | -5 |
| 31 Aug 2026, 19:24 | 77,437 | -23 |
| 30 Aug 2026, 21:47 | 77,460 | -17 |
| 29 Aug 2026, 21:59 | 77,477 | -8 |
| 28 Aug 2026, 23:08 | 77,485 | -3 |
| 28 Aug 2026, 01:32 | 77,488 | +3 |
| 27 Aug 2026, 04:26 | 77,485 | -6 |
| 26 Aug 2026, 01:26 | 77,491 | -8 |
| 25 Aug 2026, 03:04 | 77,499 | -13 |
| 23 Aug 2026, 20:27 | 77,512 | -6 |
| 22 Aug 2026, 01:18 | 77,518 | -3 |
| 20 Aug 2026, 17:43 | 77,521 | first reading |
1,194 posts held, back to 8 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 90 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 11 of 798 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 1,194 (8 August 2026 – 22 September 2026) |
| Views total | 672,078 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 12:24 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 22 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 246 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.
11 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 27.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 3 | 27.3% | |
| 👍 | 2 | 18.2% | |
| 🥰 | 2 | 18.2% | |
| ⚡ | 1 | 9.09% | |
| 👏 | 1 | 9.09% | |
| 🔥 | 1 | 9.09% | |
| 😁 | 1 | 9.09% |
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 11 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 11 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 16 August 2026 to 22 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.
柬埔寨副总理高乐会见加拿大大使 探讨加强打击网诈合作 昨天，柬埔寨副总理兼司法部部长高乐会见加拿大驻柬大使克里斯蒂安·德罗什。 高乐介绍了柬政府在打击网诈方面的努力与成效，强调网诈属于新型跨国犯罪，需多国及相关方联合打击，柬方对国际合作持开放态度。 加拿大大使对柬埔寨的打击成果表示高度赞赏，并明确表示加方愿提供必要支持与合作。双方还一致同意进一步深化柬加两国的司法合作。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#中柬执法合作 #打击电诈 #跨境犯罪治理 柬埔寨内政部披露，过去一年，中柬两国持续开展执法合作。在澜湄执法合作框架下，柬方共收到中方100份外交照会，涉及214名嫌疑人。其中2人已被捕并遣返，另有183人涉及的案件仍在处理中。 柬埔寨内政部副发言人杜速克（Touch Sokhak）表示，在上述100份外交照会中，柬方已办结2宗案件，逮捕并遣返2人；另有30份照会涉及31人，已提交第一阶段调查回复；其余68份照会涉及183人（其中包括7名女性），目前仍在处理中。 除上述案件外，过去一年，中方还曾就多批涉嫌违法犯罪的中国公民向柬方提出协查请求： 1. 16名涉嫌电信网络诈骗（电诈）、敲诈等犯罪的中国公民中，柬方查明14人情况：4人已离境、10人仍在柬埔寨，另2人无入境记录。 2. 另一批52名涉嫌电诈、侵犯公民个人信息及非法越境等行为的中国公民中，柬方掌握了39人的情况：9人已离境、13人无入境记录，另有1人持柬埔寨国籍。…
#网友投稿：缅甸掸邦北部木姐的电诈经济正在快速退潮。 随着中缅警方持续清剿电诈窝点，大批涉案人员被抓捕或遣返，原本依靠园区生存的商家和务工人员也受到直接影响。 过去，木姐聚集了不少电诈园区，大量从业人员的高消费带动了餐饮、娱乐、租房、零售等生意，也把当地租金和物价推高。 现在，电诈窝点不断被端，主要消费人群大量减少，本地普通人的收入又撑不起原来的高消费和高租金，一些商家开始关门停业。不少专门服务园区的生意也跟着受影响，包括专属外卖、高档KTV、数码设备批发、偷渡和安保配套物流等。 上游电诈链条一断，依靠这些生意吃饭的本地人和外来务工人员，也随之失去收入来源。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
柬埔寨10天驱逐近700外国人 9月10日至20日期间，柬埔寨移民总局将681名外籍人员驱逐出境。 据悉，被驱逐人员涉及全球31个国家和地区，其中以中国籍为主。警方指出，上述人员分别涉嫌参与网络诈骗、非法居留以及绑架勒索等违法犯罪活动。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
中国驻柬大使馆举行国庆77周年招待会 昨天，中国驻柬埔寨大使馆举行庆祝中华人民共和国成立77周年招待会。中国驻柬大使汪文斌、柬埔寨副总理兼外交部长巴速坤、国会主席昆索达丽、国王高级顾问狄班和棉森婉，以及柬王室成员、党政军政要、柬华理事总会会长方侨生大公爵、华人华侨代表等出席。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
赴泰收款却被卖进电诈园区 38岁男子失联79天后获救回国 9月21日，38岁的四川绵竹男子刘修洪讲述自己赴泰收款后，被转卖进缅甸电诈园区，失联79天后获救回国的经历。 6月9日，刘修洪从广州飞往泰国曼谷，准备当面结算一笔生意回款。抵达后，他被人接走，当晚一路被带往泰缅边境。 途中，他被持枪人员控制，手机被收走，眼睛被蒙住、嘴被封住，随后被押过界河进入缅甸，并辗转多个关押点。 6月14日，刘修洪失联后，姐姐赶到泰国寻找。 6月17日，四川绵竹警方以非法拘禁立案调查。 6月19日，泰国中央调查局以人口贩运立案。 被控制期间，刘修洪因为已经38岁，超过当地一些园区偏好的招人年龄，一直没人愿意买走。后来一名园区老板买下另一名被控制人员时，他也被一起带走，刘修洪形容自己成了“买一送一”。 进入电诈园区后，他被要求背300多页诈骗话术，包装成“军官”，专门针对离异和年龄较大的女性实施诈骗。因为不愿配合、背不下话术，他多次遭到…
看到最后哦～ 真的喜欢 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#缅甸新闻 佤邦再遣返26名非法入境中国公民 经边境口岸送返中国 9月21日，缅甸佤邦方面发布消息，26名非法进入佤邦地区的中国公民已通过边境口岸遣返回中国。 此次通报确认了遣返人数和处理结果，26人均已完成边境移交并返回中国。^^ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
终结99%黑钱追不回神话 国际刑警组织祭出 #银色通缉令 全球跨境追击黑产 国际刑警组织近日推出名为“银色通缉令”（又名“银色通报”）的跨国追赃利器，旨在彻底撕碎犯罪分子动辄保全99%非法所得的侥幸心理。据美联社报道，该机制于2025年1月启动多国试点专门面向全球成员国协同追踪隐匿的现金、加密货币、车辆、房地产等各类非法财产 这不仅标志着国际警务合作从单一的“抓人”全面迈入“连根拔除黑金”的追赃新纪元，更对跨国黑灰产网络敲响了最严厉的丧钟。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#缅甸新闻：泰缅边境“诈骗园区”转移分散：克伦邦偏远山村现新据点 受缅甸军方打击及美国去年底成立反电信诈骗特别工作组的影响，原本集中在大其力、KK园区和水沟谷等大型“杀猪盘（诈骗）”园区纷纷转型流窜，向克伦邦偏远地区分散，其中达侬山脉（Dawna Range）脚下的“诗加特（Thit Ka Tone）村”便成了新变种诈骗据点的缩影 部分诈骗园区迁至由军方盟友——克伦民族军（KNA）第2军区控制的诗加特等偏远山村。美国已于2025年9月对涉嫌协助并从中牟利KNA指挥官Saw Tint Win实施制裁另有部分园区转移至民主克伦佛教军(DKBA） 控制的颂瑟勉 (Son SeMyaing）和帕鲁 （Hpay Lu)地区；也有部分直接潜入妙瓦底和水沟谷的市区酒店及居民区，以小型化、分散化方式卷土重来 据媒体监测到的招聘广告显示，诈骗分子多以“U.S. Chatting（美国聊天）”或“Finding（寻找目标）”为幌子，其实际作案目…
#国内新闻 暴富神话竟是致命陷阱！临武公安怒破“虚拟货币杀猪盘”，2人落网被刑拘！ 近日，湖南郴州临武县公安局重拳出击，成功斩断一个披着“虚拟货币”外衣的电信诈骗黑手，抓获犯罪嫌疑人李某、雷某，二人现已被依法刑事拘留！ 今年6月，临武的岳女士遭遇了一场精心设计的甜蜜陷阱：嫌疑人李某在网上假借交友之名接近岳女士，骗取信任。李某吹嘘自己有“内部渠道、稳赚不赔”，诱导岳女士购买主流的泰达币（USDT）。岳女士被怂恿下载了一款虚假投资APP，并将USDT兑换成由李某幕后操盘的“山寨新币”。李某伙同上线在后台疯狂人为拉高币价，制造行情大涨的暴富假象，催促岳女士不断追加巨额资金！📈眼看岳女士资金到位，嫌疑人毫无留情瞬间疯狂砸盘，让虚拟币价值直接归零！无辜的岳女士约3万元瞬间蒸发，李某则非法暴利数万元！ 办案民警通过缜密侦查，迅速锁定目标：8月19日，主力“屠夫”李某被警方成功抓获！抓捕现场大快人心！9月17日，帮李某代收、转移赃款的“好兄…
#马来西亚资讯：仙本那中国女游客遭男子闯入，18岁嫌疑人被捕 据马来西亚媒体报道，9月19日凌晨约3时，一名25岁中国籍女游客独自在仙本那一处度假村房间内睡觉时，突然发现一名陌生男子进入房间。 初步调查显示，男子涉嫌抓住女子的手，并脱去其部分衣物，随后双方发生扭打。女子在反抗过程中设法逃出房间，但逃跑期间疑遭男子拉扯头发并摔倒，随后她逃入附近灌木丛中躲藏。 由于担心再次遭到袭击，女子一直躲藏至清晨，最终被一名度假村工作人员发现。 仙本那警方随后展开调查，并于9月19日晚约8时在度假村范围内逮捕一名18岁男子。嫌疑人随后被带往仙本那警区总部协助调查。 警方目前依据马来西亚《刑事法典》第448条（非法侵入住宅）及第354条（意图侵犯他人贞洁而袭击或使用刑事暴力）展开调查，并呼吁公众不要对案件进行猜测或传播未经证实的信息。 中国驻哥打基纳巴卢总领馆已与当事人、度假村及当地警方取得联系，并正在跟进案件处置进展。 事件发生后…
Showing the 12 most recent of 1,194 posts we hold for @hyxw4. 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 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 19 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 7 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“缅甸新闻头条” (@hyxw4), 77,008 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/hyxw4.
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.