Channel
@hyxw4
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
77,044subscribers
+50,120 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 | 29 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 29 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 |
|---|---|---|
| 29 Sept 2026, 09:37 | 77,044 | +36 |
| 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 | first reading |
1,415 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 104 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 30 of 820 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,415 (8 August 2026 – 29 September 2026) |
| Views total | 465,458 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 13:41 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 29 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 244 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.
29 reactions across 29 posts, in 9 distinct kinds. The most used accounts for 24.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 7 | 24.1% | |
| 🥰 | 7 | 24.1% | |
| 👍 | 4 | 13.8% | |
| 🎉 | 3 | 10.3% | |
| ❤ | 2 | 6.90% | |
| 👏 | 2 | 6.90% | |
| 😁 | 2 | 6.90% | |
| ⚡ | 1 | 3.45% | |
| 🔥 | 1 | 3.45% |
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 30 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 29 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 24 August 2026 to 29 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.
泰国洪灾已致23人死亡，曼谷4人遇难，经济损失或达7亿美元 泰国政府9月29日表示，自9月中旬以来，全国洪灾已造成23人死亡，其中曼谷有4人遇难。 泰国防灾减灾厅（DDPM）称，洪灾已影响曼谷约70万人。目前部分地区仍在积水，学校已连续第2天停课，近7000人暂时住在全市230个避难中心。 洪灾目前已波及泰国77个府中的29个府。其中，曼谷4人死亡，北榄府（Samut Prakan）8人死亡，沙缴府（Sa Kaeo）6人死亡，其余死者来自尖竹汶府、艾尤塔亚府和北标府等地。 泰国经济专家估计，此次洪灾可能造成3亿至7亿美元以上的经济损失，其中曼谷受影响最为严重。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#巴基斯坦新闻：打击力度再升级：内政部长要求加速清理有组织网络诈骗 9月27日至28日，巴基斯坦内政部长Mohsin Naqvi在拉合尔NCCIA Central Zone总部召开专项会议 要求全国进一步加大对网络金融诈骗、假账号、数字勒索、网络骚扰及有组织网络犯罪团伙的执法力度 同时逐案复查积压案件、加快数字取证及资金追踪，并明确要求“无差别打击”有组织诈骗网络； NCCIA局长会上汇报了当前正在调查的案件及近期网络诈骗趋势。该指令意味着近期针对非法呼叫中心、跨境网络诈骗团伙的连续行动仍将继续升级。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#柬埔寨资讯：1837名在押人员从旧监狱转移至新监狱 9月29日，在柬埔寨内政部副总理兼部长苏速卡的指导下，柬埔寨监狱总局联合国家警察总署、宪兵以及金边市政府，组织将1837名在押人员从金边PJ监狱（旧址）转移至金边市新监狱继续服刑。 新监狱位于金边市贡布区（Kamboul）普勒特朗分区（Prateah Lang）。此次转移行动由相关执法部门及地方政府共同负责，整个过程顺利完成，期间加强了安全保障和现场秩序维护。 据介绍，原金边PJ监狱旧址将由政府设立为第五矫正教育中心（Correctional Education Center 5），主要为在押人员提供教育改造、康复以及职业技能和就业培训，为其刑满后重新融入社会做好准备。 同时，该中心的设立也有助于缓解监狱人员拥挤问题，并配合柬埔寨政府相关监狱管理及改造计划。 PS：抓来抓去，关不下了🤣 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8…
#韩国新闻 2名中国女游客济州岛遭5名中国男子囚禁施暴抢劫，3人落网2人已逃回中国 韩国济州岛西归浦警方9月28日公布，2名20多岁的中国女游客在济州岛旅游期间，遭5名中国籍男子囚禁、殴打并抢劫。目前3名嫌疑人已被羁押，另外2人在警方接报前已经离开韩国返回中国。 案件发生在9月21日下午。2名女子在西归浦市一处独栋住宿设施内遭5人控制，不仅被殴打、限制人身自由，手机、平板电脑等物品也被抢走，还被迫通过银行账户转出10万元人民币，约合2000万韩元。 9月22日下午，其中1名女子成功逃出后向住宿设施工作人员求助并报警。警方赶到后当场抓获2名嫌疑人，当晚又在济州国际机场出境大厅截住第3名准备搭乘航班离境的男子。 另外2名嫌疑人当天上午已经乘机返回中国。韩国警方正通过国际刑警组织等渠道追查两人，并继续调查5人的具体作案经过。 有韩国媒体报道称，2名受害女子彼此认识，并经介绍前往涉案男子的住宿处。不过，警方尚未确认受害者与嫌疑…
两名越南“反对派”人物在柬埔寨被绑架？ 流亡的越南反对派团体“越新党”指控越南当局在柬埔寨绑架其两名成员——50岁墨尔本男子陈协及52岁挪威籍同事阮德顺，并将其强行带回越南，称此举为跨国镇压。 据媒体报道，上述两人于9月15日飞抵金边会见人权活动家，18日失联且未登上次日回曼谷的航班。 不过，越媒报道称两人因“非法越境”被捕；越新党则坚称两人无意入境越南，系在柬埔寨被绑架后被强行送过边境。 胆子真大，在金边搞会见 在金边的越南情报系统很发达 被绑走不意外～～ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#网友爆料：亲爱的亮哥，财通金湾到戈公数字新城，以这种方式让你认识。 我是今年过完年跟随着公司到老挝，大年三十正好十五号发工资提成，一分不发，过年给一人200，后面发生的事情我不说你也都知道。 所谓的公司搬迁，就是骗我们来老挝，然后把我们卖给新公司。我们偷渡的先过来了，剩下的有护照是后来的。 到老挝，环境首先不说有多苦，和我们之前做的项目都不一样。 大哥要带我们走，你不是认识吗？你不是有钱吗？为什么已读不回？说好的到老挝发工资发提成，钱呢？ 最后我们被送进东鹏，看守所关了多久。最终我们妥协了，没钱给。 最终几人只有被老挝警方交人头送到云南，我被打的那些天，我都记得。 现在我出来了，我送回国受的苦，家里花的钱，还有我的工资，我一笔一笔跟你们算。 其他人的决定都是你的默许，慢慢来。 想处理就联系我，不想处理，下一个帖子就发你照片。发完照片还是不处理，那就继续发，我看你能坐得住多久。 🔔 点击订阅华人新闻头条 ↓ …
#网友投稿：今天又有很多人从柬埔寨撤离，完全没有生存空间了，还在坚持的也趁早做打算吧。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
苹果紧急修复iOS高危漏洞，或已被用于定向攻击 苹果发布iOS/iPadOS 26.7.1安全更新，修复越界写入漏洞CVE-2026-86950。该漏洞可能导致任意代码执行，并已被用于针对iOS 27之前版本特定用户的高度复杂攻击。 加密货币用户风险更高，攻击者可能借此窃取钱包数据、登录凭据及其他敏感信息。 建议立即更新iPhone、iPad及Mac等苹果设备，同时不要安装来源不明的App，也不要在Safari或应用内浏览器打开可疑链接和文件。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
#西港快讯：OB5“Bs小区”，还是昨天那个位置，今天又有大批警察和警车赶到现场，估计是来抓打野团队的，附近的兄弟注意！ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
蒙多基里省联合突查边境场所 严打非法网赌与违法博彩 近日，蒙多基里省政府联合执法部门对边境3处场所展开专项检查，要求其立即停止一切未经许可的非法网络赌博活动。 其中1处已被核实停业逾3个月，1处锁门无人，另1处正接受重点监控。该省副省长强调，未获商业博彩管理委员会（CGMC）许可的企业须立即关停。 截至2026年9月，柬全国已有18家涉及电诈的赌场被吊销许可证、9家被暂停执照接受调查，边境博彩监管正全面升级。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
还以为真的是男的不行了 看到160就明白了 #群友投稿 #bbw #坦克 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
柬埔寨前副省长伙同翻译骗中国投资者120万刀，翻译上诉求减刑 9月28日，金边上诉法院审理一起特大投资诈骗案。45岁中文翻译孟萨伦因涉骗中国投资者120万美元，被判5年监禁，现上诉请求减刑。 同案主谋包括磅士卑省前副省长邓武迪及前军官海夫孔。案情显示，三人以帮拜林省锡矿项目办证为由，收取中方资金却提供伪造文件。此前判决中，邓、海二人须服满刑期，孟获部分缓刑实服刑3年，三人需赔偿受害者共160万美元。 庭审中，孟萨伦辩称自己仅充当沟通桥梁，未参与造假，且资产被误扣，求减半刑期并免罚。检方则嫌其量刑过轻，要求恢复5年完整刑期。案件将于10月22日宣判。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料：@feihang
Showing the 12 most recent of 1,415 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 29 September 2026 — this entry's latest reading, not the date you are reading this.
“缅甸新闻头条” (@hyxw4), 77,044 subscribers as measured 29 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.