Channel
@hyxw3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
76,099subscribers
+50,804 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001781321673 |
|---|---|
| Type | Channel |
| Username | @hyxw3 |
| Description | ✅柬埔寨新闻头条，疑难杂症来问我 ✅本频道只负责相关发布信息，真假自行甄别！ ✅为全球华人分享柬埔寨文化，一起看最美的柬埔寨！ 投稿、合作： @feihang |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/hyxw3 |
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 53% 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 |
|---|---|---|
| 26 Sept 2026, 08:37 | 76,099 | +198 |
| 19 Sept 2026, 11:57 | 75,901 | -40 |
| 17 Sept 2026, 02:00 | 75,941 | -15 |
| 15 Sept 2026, 02:19 | 75,956 | -15 |
| 13 Sept 2026, 12:58 | 75,971 | -19 |
| 11 Sept 2026, 20:39 | 75,990 | -31 |
| 9 Sept 2026, 12:18 | 76,021 | +940 |
| 6 Sept 2026, 02:16 | 75,081 | -775 |
| 3 Sept 2026, 20:20 | 75,856 | -12 |
| 2 Sept 2026, 10:04 | 75,868 | -9 |
| 1 Sept 2026, 10:35 | 75,877 | -7 |
| 31 Aug 2026, 12:08 | 75,884 | -8 |
| 30 Aug 2026, 09:13 | 75,892 | -11 |
| 29 Aug 2026, 07:47 | 75,903 | -3 |
| 28 Aug 2026, 05:34 | 75,906 | -4 |
| 27 Aug 2026, 03:26 | 75,910 | -11 |
| 26 Aug 2026, 05:16 | 75,921 | -6 |
| 25 Aug 2026, 04:44 | 75,927 | -12 |
| 23 Aug 2026, 23:55 | 75,939 | -9 |
| 22 Aug 2026, 06:36 | 75,948 | first reading |
1,421 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 36 of 831 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 | 1,421 (8 August 2026 – 29 September 2026) |
| Views total | 622,103 |
| Reactions total | 35 |
| 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 234 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.
35 reactions across 35 posts, in 8 distinct kinds. The most used accounts for 22.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 22.9% | |
| ❤ | 7 | 20.0% | |
| 👏 | 6 | 17.1% | |
| ⚡ | 4 | 11.4% | |
| 🎉 | 3 | 8.57% | |
| 😁 | 3 | 8.57% | |
| 🤩 | 2 | 5.71% | |
| 🥰 | 2 | 5.71% |
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 36 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 35 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 25 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
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#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
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#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
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Showing the 12 most recent of 1,421 posts we hold for @hyxw3. 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 9 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨新闻头条” (@hyxw3), 76,099 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/hyxw3.
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.