#群友投稿:这段时间,越南各地都抓获了许多躲在公寓、民房打野的团队,政府越来越关注这方面的治理,力度明显变得严格了。 我们住在安富坊富鸿盛8号,有效护照及签证都齐全,却被公安频繁登门拜访好几次。听说,该专项行动致力于预防违法行为、维护当地的安全与秩序,并彻查违法违规行为。 各位在越南的同胞小心,家里也不要有过多电子设备,被逮到了就是巨额罚款和遣返回国。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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Channel
@dnyxwtt
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
50,922subscribers
-3,025 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001762718863 |
|---|---|
| Type | Channel |
| Username | @dnyxwtt |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #迪拜 专注于东南亚最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 商务: @pige |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 14 November 2026 |
| On Telegram | t.me/dnyxwtt |
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 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 the other topics.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear in near-verbatim form on 11 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @dnyxwtt/69537 · this entry9 Nov 2026, 09:27 UTC | @pianzi1/733839 Nov 2026, 09:27 UTC | 1.00 | under a minute |
| @dnyxwtt/69617 · this entry10 Nov 2026, 10:10 UTC | @pianzi1/7345810 Nov 2026, 10:10 UTC | 1.00 | under a minute |
| @dnyxwtt/69637 · this entry10 Nov 2026, 12:52 UTC | @pianzi1/7347510 Nov 2026, 12:52 UTC | 1.00 | under a minute |
| @dnyxwtt/69776 · this entry12 Nov 2026, 13:29 UTC | @pianzi1/7360612 Nov 2026, 13:29 UTC | 1.00 | under a minute |
| @dnyxwtt/69778 · this entry12 Nov 2026, 13:39 UTC | @pianzi1/7360812 Nov 2026, 13:39 UTC | 1.00 | under a minute |
| @dnyxwtt/69845 · this entry13 Nov 2026, 13:18 UTC | @pianzi1/7367513 Nov 2026, 13:18 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @pianzi1 | 98 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (93–5) |
| @dnybgtt | 96 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (93–3) |
| @mv111 | 90 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (89–1) |
| @jpz0123 | 85 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (44–41) |
| @bodu08 | 75 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (75–0) |
| @xigang13 | 60 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | @xigang13 (53–7) |
| @xinwen811 | 57 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (34–23) |
| @alcdj8 | 15 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @alcdj8 (14–1) |
| @wugexinwen | 14 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @wugexinwen (13–1) |
| @aq7777 | 12 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (11–1) |
| @dnyawtt | 9 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (8–1) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 155 of the 155 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 1,629 comparable posts for this entry, running 11 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Nov 2026, 14:47 | 50,922 | -617 |
| 11 Nov 2026, 13:09 | 51,539 | -184 |
| 9 Nov 2026, 20:50 | 51,723 | -207 |
| 8 Nov 2026, 09:46 | 51,930 | +2,077 |
| 7 Nov 2026, 00:44 | 49,853 | -102 |
| 5 Nov 2026, 22:46 | 49,955 | -89 |
| 4 Nov 2026, 20:37 | 50,044 | -141 |
| 3 Nov 2026, 18:21 | 50,185 | -407 |
| 2 Nov 2026, 18:54 | 50,592 | -136 |
| 1 Nov 2026, 19:40 | 50,728 | -138 |
| 31 Oct 2026, 18:39 | 50,866 | -114 |
| 30 Oct 2026, 17:58 | 50,980 | -192 |
| 29 Oct 2026, 16:36 | 51,172 | -122 |
| 28 Oct 2026, 13:04 | 51,294 | -65 |
| 27 Oct 2026, 16:18 | 51,359 | -85 |
| 26 Oct 2026, 13:40 | 51,444 | -104 |
| 25 Oct 2026, 14:56 | 51,548 | -85 |
| 24 Oct 2026, 11:41 | 51,633 | -98 |
| 23 Oct 2026, 14:54 | 51,731 | -70 |
| 22 Oct 2026, 16:10 | 51,801 | first reading |
2,316 posts held, back to 11 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 190 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 682 of 707 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 November 2026 |
|---|---|
| Posts held | 2,316 (11 August 2026 – 14 November 2026) |
| Views total | 951,878 |
| Reactions total | 38,204 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Nov 2026, 00:17 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 15 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 233 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.
47,144 reactions across 842 posts, in 5 distinct kinds. The most used accounts for 20.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9,682 | 20.5% | |
| 🔥 | 9,516 | 20.2% | |
| 😁 | 9,364 | 19.9% | |
| ❤ | 9,337 | 19.8% | |
| 🎉 | 9,245 | 19.6% |
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 842 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 47,144 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 8 October 2026 to 14 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: 7 of 795 posts held from the last 30 days (0.881%) 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).
#群友投稿:这段时间,越南各地都抓获了许多躲在公寓、民房打野的团队,政府越来越关注这方面的治理,力度明显变得严格了。 我们住在安富坊富鸿盛8号,有效护照及签证都齐全,却被公安频繁登门拜访好几次。听说,该专项行动致力于预防违法行为、维护当地的安全与秩序,并彻查违法违规行为。 各位在越南的同胞小心,家里也不要有过多电子设备,被逮到了就是巨额罚款和遣返回国。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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东南亚新闻头条(曝光) pinned a video
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#网友投稿:每个人都会有跌倒的时候,区别在于有人跌倒后还能爬起来,有人却再也回不到从前。 著名香港经济学张子强曾有一句广为流传的话:“有钱不是万能的,但没钱是万万不能的。” 在东南亚待过的人,应该对这句话有更深的体会。这里见过太多起起落落,昨天还在谈大单、开豪车、出入高档场所,今天可能就负债累累,甚至连回家的机票钱都拿不出来。 说到底,钱这个东西,赚到的时候觉得不算什么,真正没钱的时候,才知道它有多重要。 不管以前赚过多少,经历过什么,跌倒了就是跌倒了。现实不会因为你曾经风光过,就对你手下留情。 东南亚这几年,风向变了,环境也变了。能留下多少,能带回多少,或许比曾经赚过多少更重要。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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#AI小短剧:家里条件不好,我急着赚钱,轻信多年好友的邀约,没想到他转头把我卖给蛇头 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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🇲🇾马来西亚移民局:今年6195人因涉及非法经营活动被捕,印尼籍人数最多 11月14日报道,马来西亚移民局持续加强全国执法行动。移民局总监扎卡里亚表示,截至2026年10月15日,全国已有6195人因涉及非法经营活动被逮捕,其中印尼籍人士占最多,共2280人。 根据移民局公布的数据,被捕人员的国籍分布如下: 印尼籍:2280人 缅甸籍:1742人 孟加拉籍:936人 泰国籍:761人 印度籍:476人 此外,移民局联合地方政府展开216次执法行动,期间共检查3387名外国人,并逮捕487名非法移民及11名雇主。 移民局指出,目前全国已确认224个非法移民聚集热点,其中29个被列为红色高风险区域,分布在全国12个州属。 当局表示,未来将继续加强与地方政府的合作,针对非法移民聚集区域及涉嫌非法经营活动的场所展开执法,以遏制非法经营和移民违法问题。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPy…
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缅甸土瓦东部坡莱矿区限制居民进入,近百名中国公民在当地活动 据当地居民消息,缅甸土瓦东部兴达村附近的坡莱矿区近期出现近百名中国公民居住及作业的情况。当地居民称,该矿区目前禁止普通居民进入,现场由克伦民族联盟(KNU)武装人员负责安保。 据称,这批中国公民持有中缅双重身份证件,从土瓦方向乘车抵达当地,并在矿区附近新建建筑物。当地居民怀疑,相关建筑可能用于筹备诈骗活动及赌场,但目前尚无独立证据证实这一说法。 此外,土瓦东部及甘保地区也有中国公民从事矿产开采和交易活动。当地消息称,部分矿产经泰国转运至中国。 目前,关于坡莱矿区内中国公民的具体身份、实际经营项目,以及是否涉及网络诈骗或赌场活动,仍有待进一步核实。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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Bybit 已发布安全警告,针对 Android 上报告的 Telegram 漏洞,该漏洞可能使受损设备上的其他应用面临风险。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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#网友投稿:马来西亚吉隆坡 Mad Club 被突击检查,当场带走 26 名女生回去问话。 一部分人当天就放出来了,剩下的要等到周一才能办释放。跟 Mad Club 同一个老板的 Kung Fu 夜店,现在圈内也都盯着。 蒲种那边的 Club26 是移民局来查,跟警察扫DU不是一回事。布城 KDN 的移民局人员就在楼下守着,本来打算凌晨两点上去查所有人的签证证件。 有个男生的未婚妻在店里上班,签证还没搞定,他赶紧找移民局里面的熟人帮忙摆平。听圈内人说,要是被抓到无证滞留或者打工,会进移民黑名单。坊间还说,可以花钱找主管签字,想办法消掉黑名单。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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金边加强安保!特警出动巡逻,独立纪念碑周边多部门联合值守 11月14日晚,柬埔寨首都金边加强公共安全保障力度。金边市警察局特种干预部队出动警力开展巡逻,对“法语国家村”展览活动现场加强治安维护,确保前来参观的当地民众及国内外游客的人身安全。 据了解,“法语国家村”是柬埔寨主办第20届法语国家组织峰会的配套活动之一,吸引了大批民众和游客前往参观。与此同时,金边独立纪念碑附近也部署了大批联合执法人员,开展巡逻及现场值守,进一步加强重点区域的安全防范工作。 本届法语国家组织峰会主题为:“携手共建和平,实现共同繁荣与持久稳定”。随着峰会相关活动陆续举行,金边市区安保工作持续加强,以确保各项活动安全、有序进行。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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#网友投稿:随着汇旺、新币担保巨头的崩塌,灰产人到底该何去何从? 2021年从SHIB币社区小赚一把,在当年用赚得的钱投入创建一家通道公司。经历这几年,看到整个担保行业的发展起伏: 通道公司的初创期,有汇旺线下实体的背书,上押了3个公群。前几年也洗到了不少车队,也消失了不少车队;再然后就看到了汇旺、好旺、土豆被西方打压之后的退出。 今年年初,土豆退出后,泼天的流量都到了新币,新币瞬间占领行业,独揽90%的市场份额。当一个行业被垄断,一定会有另一股势力去黑化。9月8日的下午16点,新币被西方制裁后,嘎然而止…… 就此,我通道公司的近十万押金遥遥无期……是的,一次跟风,也相信这颗大树不会倒下,但现实又一次打脸…… 我和亨通、强盛、金届、淡然、胡有志、宏鑫、林家铺子、万利亨通一样,钱包被冻,公群押金又被新币跑路。 据不完全统计,新币公群押金2.5个亿,但实际媒体透露是5000多万,也就是新币当初有近2亿U的假押群。 新币…
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#马来西亚资讯:雪兰莪移民局突击检查三个地点,34名外国人被捕!有人躲床底企图逃避检查 马来西亚雪兰莪州移民局于11月13日展开联合执法行动,突击检查 Kampung Baru Subang、Ampang 及 Hulu Langat 三个地点,共检查38人,并逮捕34名外国人。 据报道,此次行动共出动18名移民局执法人员,涉及 Ops Sapu、Ops Selera 及 Ops Kutip 三项执法行动。 行动期间,执法人员在检查过程中发现,部分外国人试图躲藏在床底等地方,以逃避执法人员检查,但最终仍被发现。 在 Ampang 地区的行动中,共有10名外国人被捕,包括8名缅甸籍、1名印尼籍及1名印度籍人员。此外,Hulu Langat 地区也有一名波兰籍人员落网。 此次行动累计检查38人,逮捕34名外国人。执法部门同时向一名相关人士发出证人传票,并对一名雇主采取行动。 被捕人员涉嫌违反马来西亚《1959/63年移民法…
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Showing the 12 most recent of 2,316 posts we hold for @dnyxwtt. 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 1 post on @dnyxwtt 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.
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 24 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 22 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 14 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚新闻头条(曝光)” (@dnyxwtt), 50,922 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/dnyxwtt.
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.