#网友投稿:如今的西港,大部分地方早已变得冷清,街道昏暗,曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去,许多地方都是黑漆漆的一片,唯独越南街,依旧灯火通明。一座城市的变化,有时候不需要太多言语,只要夜幕降临,走上街头,便能感受到时代变迁留下的痕迹。 西港还是那个西港,只是亮着灯的地方,越来越少了。 ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
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Channel
@TGXW2
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
26,454subscribers
-28,385 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002940274584 |
|---|---|
| Type | Channel |
| Username | @TGXW2 |
| Description | 全球频道专注于全球最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 Hello @Telegram My channel has not violated the rules and policy of using Telegram TG交流群: @TGBC2 商务合作: @Xoxwt #迪拜 #泰国 #柬埔寨 #马来西亚 #斯里兰卡 #华人 #格鲁吉亚 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/TGXW2 |
International 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 60% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 12:21 | 26,454 | -45 |
| 9 Nov 2026, 16:17 | 26,499 | -21 |
| 8 Nov 2026, 09:34 | 26,520 | -43 |
| 7 Nov 2026, 03:38 | 26,563 | -17 |
| 6 Nov 2026, 00:27 | 26,580 | -18 |
| 4 Nov 2026, 23:57 | 26,598 | -15 |
| 3 Nov 2026, 22:36 | 26,613 | +2 |
| 2 Nov 2026, 23:10 | 26,611 | -6 |
| 1 Nov 2026, 23:14 | 26,617 | -85 |
| 31 Oct 2026, 20:48 | 26,702 | -750 |
| 30 Oct 2026, 18:58 | 27,452 | -305 |
| 29 Oct 2026, 22:08 | 27,757 | -12 |
| 28 Oct 2026, 23:35 | 27,769 | -23 |
| 28 Oct 2026, 01:55 | 27,792 | -11 |
| 27 Oct 2026, 04:47 | 27,803 | -433 |
| 26 Oct 2026, 06:45 | 28,236 | -19 |
| 25 Oct 2026, 03:51 | 28,255 | -293 |
| 24 Oct 2026, 01:31 | 28,548 | -229 |
| 22 Oct 2026, 22:26 | 28,777 | -5 |
| 21 Oct 2026, 20:19 | 28,782 | first reading |
968 posts held, back to 5 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 182 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 107 of 345 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 968 (5 August 2026 – 12 November 2026) |
| Views total | 469,664 |
| Reactions total | 8,195 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 23:00 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 12 November 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 210 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.
15,862 reactions across 655 posts, in 25 distinct kinds. The most used accounts for 17.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,769 | 17.5% | |
| ❤ | 2,392 | 15.1% | |
| 🔥 | 1,286 | 8.11% | |
| 🎉 | 1,072 | 6.76% | |
| 👏 | 869 | 5.48% | |
| 😍 | 852 | 5.37% | |
| 😢 | 589 | 3.71% | |
| 👎 | 576 | 3.63% | |
| 💩 | 561 | 3.54% | |
| 😡 | 558 | 3.52% | |
| 💔 | 555 | 3.50% | |
| 🥱 | 539 | 3.40% | |
| 😈 | 535 | 3.37% | |
| 🍌 | 534 | 3.37% | |
| 🤬 | 533 | 3.36% | |
| 🖕 | 514 | 3.24% | |
| 🤮 | 492 | 3.10% | |
| 🙏 | 316 | 1.99% | |
| 🤔 | 145 | 0.914% | |
| 👀 | 130 | 0.82% | |
| 5 further kinds | 45 | 0.284% |
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 655 of the 968 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 15,862 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 968 most recent posts we hold, published 5 August 2026 to 12 November 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.
Telegram’s own ‘edited’ marker: 0 of 345 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#网友投稿:如今的西港,大部分地方早已变得冷清,街道昏暗,曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去,许多地方都是黑漆漆的一片,唯独越南街,依旧灯火通明。一座城市的变化,有时候不需要太多言语,只要夜幕降临,走上街头,便能感受到时代变迁留下的痕迹。 西港还是那个西港,只是亮着灯的地方,越来越少了。 ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
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#网友投稿:今天去KTV查看,几个本地小偷见来人疯狂跑路。穷寇莫追,道埋我懂。 大门的锁已经被撬,满地狠藉,值钱的东西,被偷得一干二净。就连LED显示屏里面的电线,他们都剥了偷走了 在西港投资千万的KTV,现在没有客人,但每天都有小偷光顾。偷无可偷,最后可能把砖都要拆走吧~~ 精装修的KTV,又直接给你干成了老鼠窝~~ ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
柬埔寨波贝赌场公然违规招揽本国人赌博 地方当局遭批不作为 据柬媒报道,位于卜迭棉芷省波贝市欧祖分区的一家名为“好世界赌场”(Good World Casino)的场所,公然无视柬埔寨高层禁令,长期向本国公民敞开大门供其自由参赌,严重滋生盗窃、抢劫等治安乱象,引发当地民众强烈不满。 报道指出,尽管外界多次举报,但从波贝市警察局、市政府到卜迭棉芷省各级执法与行政部门均保持沉默、未予查处。民众痛批地方官员的纵容行径已违背参议院主席洪森、总理洪玛奈及副总理兼内政大臣苏速卡关于严禁本国人进赌场及严打非法赌博的明确指示,呼吁内政部与国家警察总署直接派员跨区取缔。 ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
电诈园区变“提款机”?西港窃贼专盯无人空楼,又有2人落网 随着柬埔寨持续重拳打击网络诈骗,西港大量曾经熙熙攘攘的园区和私人建筑人去楼空。然而,这些空置的大楼,如今却成了窃贼眼中的“香饽饽”。 据西港市第4分区警察局通报,近期有不法分子专门潜入无人看守的私人建筑内,盗窃建筑材料、铁件及设备。11月12日下午,警方再次展开行动,抓获了两名涉案嫌疑人。 据警方通报,被抓获的两名嫌疑人分别是一名柬埔寨籍男子和一名印度尼西亚籍男子。目前,两人已被警方控制,将依法受到惩处。这也是西港警方近期连续破获的又一起针对空置大楼的盗窃案。 这起看似普通的盗窃案,折射出西港目前的魔幻现状。在打击电诈的高压态势下,大量诈骗园区和灰产大楼被查封或废弃。由于这些建筑往往体量庞大且无人管理,不仅成了城市治安的盲区,也吸引了各路小偷前去“零元购”,偷拆里面的电线、铁架等设施变卖。 ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
#网友投稿:此路不通!现在想从缅甸走小路回中国,真没那么容易了。 上个星期三,我们老大硬塞了一个人情单,要把一个从缅甸腊戌出发的人,通过边境小路送回中国。老大也是个明事理、懂时局的人,只交代我们尽力而为,能把人安全送过去最好。 经过三天在边境徘徊、观察和等待,到了星期六,我们自认为准备得差不多了,便安排两名缅甸边境原住民带人正式出发。 没想到,出发不到五个小时,整队人就失联了。起初我们并不意外,但超过十二个小时仍联系不上,基本判断这次走小路回中国失败了,很可能已经被抓。 说说现在中缅边境走小路的情况。以我七年的带队经验来看,从中国走小路进入缅甸,成功率不到25%;从缅甸走小路回中国,成功率更是不足15%。这些只是我个人的经验判断。 嘿嘿,情况就是这么个情况。不是夸,也不是吹,中国边防武警的人员素质和装备水平确实很强。我认为,他们能不能抓到偷渡人员,很多时候不是能力问题,而是想不想抓的问题。 干了七年这一行,我越来越觉…
🇲🇲缅甸全国清查外籍人士,突击核查住宿、从业信息! 缅甸移民监督与人口部副部长吴林佐吞表示,对于持各类入境签证入境后违反签证规定的外国人,正在进行拘押处理。对于非法入境者,正依法采取追责措施。 11月10日举行的第三届人民议会第三次例行会议第26天会议上,波巴迪依镇区选区人民议会代表吴拉穗询问,是否有计划对包括仰光、曼德勒、东枝、毛淡棉在内的全国范围内非法外国人进行审查并遣返原籍国,副部长作出了上述答复。 据悉,2015年至2020年期间,被逮捕、追责并驱逐出境的外国人共3545人;2021年至2026年9月期间,因违反签证规定和非法偷渡,依据缅甸移民监管法被判刑完毕并驱逐出境者4406人,正在服刑的外国人2533人。 此外,基于两国友好关系以及使馆的请求,因无其他犯罪行为而未予起诉即驱逐出境的外国人共有73085人。 目前,正在对外国人入境申报表FormC/e-FormC进行核查,在实地开展外国人是否真实居住和从业的…
#网友投稿:西港平安旅行社被宪兵围了,具体什么情况暂时不清楚,附近的注意了!!! ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
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#网友投稿:前天晚上,老挝磨丁铁皮屋子临检,主要检查相关手续是否合规,昨晚仅有部分有证的店正常营业,小姐姐消失了有一半… 部分店主已经通知了,磨丁还有七天就不能开小妹店了,之前中国人不能开,现在连老挝人也不能开了。 在磨丁的小伙伴们,趁这两天小妹还没有走完,抓紧去吧,打个离别炮~ ✅订阅全球新闻频道:@tgxw2 🛎投稿爆料澄清:@xyyyt
👍1
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Showing the 12 most recent of 968 posts we hold for @TGXW2. 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.
We recorded 25 posts on @TGXW2 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
@TGXW2 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“全球新闻” (@TGXW2), 26,454 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/TGXW2.
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.