Channel
@dny377
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
113,141subscribers
+10,762 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002454245452 |
|---|---|
| Type | Channel |
| Usernames | @dny355 @dny357 @dny377 |
| Description | #柬埔寨 #金三角 #菲律宾 #泰国 #缅甸 #老挝 #马来西亚 #越南 #斯里兰卡 #迪拜 聚焦东南亚及全球华人关注的突发新闻、重大案件、反诈扫黑、电诈园区、网赌整治、跨境犯罪、人口贩运、绑架勒索、毒品枪击、治安事件、遣返移交、非法居留、偷渡边境、口岸签证、航班动态、使馆提醒、政策新规、网友爆料、华人求助、欠薪纠纷、社会热点与民生事件。 关注真实现场，整理一手消息，持续更新海外华人身边事。 投稿爆料/广告合作 @suiyi001 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 190 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/dny377 |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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 5 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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 |
|---|---|---|---|
| @dny968/531547 Aug 2026, 10:00 UTC | @dny377/84861 · this entry7 Aug 2026, 15:00 UTC | 1.00 | 5.0 hours |
| @dny377/85882 · this entry14 Aug 2026, 17:12 UTC | @dny968/5355314 Aug 2026, 17:12 UTC | 1.00 | under a minute |
| @dny377/86199 · this entry17 Aug 2026, 18:02 UTC | @dny968/5368217 Aug 2026, 18:02 UTC | 1.00 | under a minute |
| @dny377/86986 · this entry23 Aug 2026, 17:14 UTC | @dny968/5399023 Aug 2026, 17:14 UTC | 1.00 | under a minute |
| @dny377/87245 · this entry25 Aug 2026, 17:00 UTC | @dny968/5408025 Aug 2026, 17:00 UTC | 1.00 | under a minute |
| @dny968/544152 Sept 2026, 08:20 UTC | @dny377/88410 · this entry4 Sept 2026, 15:00 UTC | 1.00 | 2 days |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @dny968 | 36 (8/8 hand-verifiable sample passed) | 1.00 | 5 minutes | this entry (31–5) |
| @dny735 | 29 (7/8 hand-verifiable sample passed) | 1.00 | 72 seconds | this entry (28–1) |
| @dny825 | 25 (8/8 hand-verifiable sample passed) | 1.00 | 2 minutes | this entry (20–5) |
| @ppx28 | 10 (8/8 hand-verifiable sample passed) | 1.00 | 4 days | this entry (7–3) |
| @daxxx | 9 (8/8 hand-verifiable sample passed) | 0.93 | 2 minutes | this entry (9–0) |
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. 14 of the 14 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 2,386 comparable posts for this entry, running 7 August 2026 to 10 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.
Of the group of 2 channels, the one whose matching posts we hold earliest is @dny377 — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 11 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.
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 16:50 | 113,141 | -21 |
| 10 Nov 2026, 14:45 | 113,162 | -18 |
| 10 Nov 2026, 04:20 | 113,180 | -114 |
| 9 Nov 2026, 00:49 | 113,294 | no change |
| 8 Nov 2026, 23:05 | 113,294 | -35 |
| 8 Nov 2026, 16:45 | 113,329 | +4,909 |
| 7 Nov 2026, 17:57 | 108,420 | -9 |
| 7 Nov 2026, 14:47 | 108,429 | -13 |
| 7 Nov 2026, 11:50 | 108,442 | -72 |
| 6 Nov 2026, 15:39 | 108,514 | -4 |
| 6 Nov 2026, 14:56 | 108,518 | no change |
| 6 Nov 2026, 14:36 | 108,518 | -84 |
| 5 Nov 2026, 18:30 | 108,602 | no change |
| 5 Nov 2026, 18:28 | 108,602 | -13 |
| 5 Nov 2026, 15:05 | 108,615 | -50 |
| 4 Nov 2026, 20:51 | 108,665 | -9 |
| 4 Nov 2026, 15:06 | 108,674 | no change |
| 4 Nov 2026, 14:57 | 108,674 | -77 |
| 3 Nov 2026, 18:07 | 108,751 | no change |
| 3 Nov 2026, 17:25 | 108,751 | first reading |
2,546 posts held, back to 7 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 196 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 7 of 737 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 2,546 (7 August 2026 – 11 November 2026) |
| Views total | 5,531,275 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 06:02 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 11 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 252 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.
22 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 22.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6068901901506713914 | 5 | 22.7% | |
| custom 6095969816198257530 | 4 | 18.2% | |
| custom 6179185941429623045 | 4 | 18.2% | |
| custom 6179320614424157608 | 3 | 13.6% | |
| custom 6068917518007802256 | 2 | 9.09% | |
| custom 6075880738031409556 | 2 | 9.09% | |
| custom 6075360931024476659 | 1 | 4.55% | |
| custom 6075426596779465554 | 1 | 4.55% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 16 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 22 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 2 October 2026 to 11 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: 8 of 737 posts held from the last 30 days (1.09%) 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).
#国际新闻 斯里兰卡登革热病例突破10.7万例，11月首周新增近1400例 11月9日，斯里兰卡卫生部门公布登革热疫情数据，截至11月7日，全国今年累计报告107,651例病例，仅11月前7天就新增1,399例。 今年7月是疫情最严重的月份，单月报告29,964例，创下今年最高纪录。 当地卫生部门正加强高风险地区的灭蚊工作，重点检查住宅周边、废弃场所及容易积水的区域，防止蚊虫滋生。 卫生部门提醒民众及时清理积水、做好防蚊措施，如出现持续发烧、头痛、肌肉疼痛等症状，应尽快就医检查。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#马来西亚新闻 柔佛典当行失窃牵出2840万令吉假金饰骗局，7名前员工及相关人员被捕 11月10日，马来西亚柔佛州警方公布哥打丁宜一间典当行失窃案的调查进展，发现案件背后涉嫌隐藏长达4至5年的假金饰典当骗局，涉及金额高达2840万令吉。 警方于11月7日至8日在哥打丁宜及新山展开抓捕行动，共逮捕7名本地嫌疑人，包括5男2女，年龄29至48岁，其中涉及一名前女经理及多名前员工。 调查发现，嫌疑人涉嫌长期利用假金饰向典当行套取现金，随后又涉嫌策划破门盗窃，企图掩盖之前的违法行为。 警方查获2891件金饰、27,371令吉现金，以及典当收据、手机和钥匙等证物。目前正以破门行窃及雇员刑事失信罪名展开调查。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 我把最好的年华留在了东南亚，走过缅甸、老挝、越南、柬埔寨，还有马来西亚。 一脚踏进诈骗园区，才知道自己错得有多离谱。没业绩就挨打，每天都像在熬日子。几年下来，兜里空空，没赚到钱，也不敢回家。 当初给自己定下目标，一定要赚够100万，再风风光光地回去。可现实哪有那么容易，钱没赚到，苦吃了不少，眼泪也只能往肚子里咽。 家里的爹娘一年比一年老，还在天天牵挂着我，亲戚朋友也盼着我早点回去。可我总觉得，出来这么多年，没赚到钱，哪还有脸回家？ 只能咬牙坚持，心里始终放不下那个年入百万的梦。哪怕前面的路再苦再难，也想着有一天能扬眉吐气，衣锦还乡。 最怕的不是在外面吃了多少苦，而是把最好的青春都耗在了东南亚，到头来钱没赚到，家也回不去。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#缅甸新闻 克伦邦电诈园区越打越多，KNA被曝新建约8处窝点，数千外国人进驻 11月10日，缅甸克伦邦军事消息人士披露，泰缅边境多个电诈园区仍在持续扩建。尽管缅甸军方开展打击行动，但当地诈骗窝点并未消失，反而开始向更多地区分散。 克伦民族军（KNA）被指新建约8处电诈窝点，民主克伦佛教军（DKBA）也在帕卢、焦克赫及妙瓦底周边扩建园区，部分新建场所已有数千名外国人进驻。 当地线索还显示，KNA、DKBA及边防军（BGF）控制区内的诈骗园区相互联系，在人员转移、燃油供应及生活物资采购方面保持合作，以应对军事行动和检查。 军事消息人士指责，缅甸军方明知电诈园区不断扩张，却没有采取有效打击措施，反而重点要求地方武装不得向克伦民族联盟（KNU）、克伦民族解放军（KNLA）及人民防卫军（PDF）提供援助。 当地电诈产业也逐渐从KK园区、亚太新城等大型据点转向分散经营，并与赌场、KTV及卖淫等产业交织。 😀 【头条新闻】 @d…
#柬埔寨新闻 西港警方连破3起刑事案件，9名嫌疑人被捕，救出1名中国人 10月31日至11月3日，柬埔寨西港省警方联合多个部门展开行动，接连破获3起刑事案件，包括2起盗窃案和1起非法拘禁勒索及非法持枪案，共有9名柬埔寨籍和中国籍嫌疑人涉案。 其中，警方在非法拘禁勒索案中成功救出1名中国籍受害者，缴获1把手枪、7发子弹、1辆汽车及500美元现金。 警方最初扣留14人，经过调查确认其中6人涉嫌参与犯罪，其余8人经教育及担保后获释。 9名涉案嫌疑人已移交西港省初级法院依法处理。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#印尼新闻 印尼爆出高层非法监听丑闻，3名警界高官被拘，总统也成监听目标 11月3日，印尼警方公布一起非法监听案，3名高级警官被列为嫌疑人并遭拘留，其中包括前国家警察总长、现任总统幕僚长利斯蒂约·西吉特·普拉博沃，另有1名高级警官接受调查。 警方调查发现，涉案人员涉嫌在2025年至2026年间，未经合法审批，将总统普拉博沃及多名政府官员、政治人物、记者和商界人士的电话号码录入警方监听系统，秘密监听通讯。 今年10月，涉案人员还涉嫌下令删除监听记录，企图掩盖行为。警方已扣押11部手机、1台平板电脑及4个U盘，并询问10名证人和3名专家证人。 3名嫌疑人目前被拘留，可能面临最高10年监禁。警方仍在调查监听动机及具体范围。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 寻找曾经那段露水之缘，不知道你现在还好吗？ 曾经那个秃顶、地中海、大胡子、白白胖胖的马哥，不知道你现在过得怎么样了。成都人，以前180斤，留着胡子，像个抠脚大汉，后来瘦到120斤，换了前刺锡纸烫，穿着休闲装，整个人都变帅了。 想想以前，你对我真的挺好。每次我没钱找你要，你二话不说就给。喝醉了跟你胡言乱语，吐槽生活里的各种破事，你也总是耐心听着。现在柬埔寨严打，很多人都走了，我挺担心你的。之前我的飞机号注销了，也彻底失去了你的联系方式。 还记得最后一次见面，你说：“分手，打最后一炮。”虽然我知道你嫌弃我活不好，但我也明白，你是个重感情的人，就算不打炮，找你要钱，你也会给。 那天我们坐在客厅喝酒聊天，你说准备去英国了，以后不会再联系我，也不会联系其他女生，全部拉黑断干净。因为你已经谈女朋友了，以后还想要孩子，不想对不起人家。 你还问我以后有什么打算，叮嘱我在柬埔寨一定要保护好自己，别整天没心没肺的，更别被那些黄…
#柬埔寨新闻 金边Golden Street市场被曝藏有非法赌博场所，涉嫌24小时营业 11月9日，柬埔寨当地媒体曝光，金边市桑园区东奔萨克分区Golden Street市场内，一处场所涉嫌长期经营现金赌博，甚至昼夜营业。地点位于The Bridge大楼正对面。 当地线索指向一名绰号“特”的中国籍男子，称其涉嫌经营该场所，另有一名叫Rathana的人员负责看场及提供保护，但相关指控尚未获得警方证实。 11月9日下午，媒体尝试联系桑园区警察局局长了解情况，但未获得回应。该场所是否涉及非法赌博，以及相关人员是否存在违法行为，仍有待警方调查确认。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 10月底在柬埔寨西港“星汇海景湾”被抓的那批中国同胞，这两天都要送往金边了，基本没办法处理。 这几天警察局里的人都快清空了，接下来警方可能又要上街抓人。西港局势越来越严峻，几个国家的暗中调查也还在继续。 现在狗推抓得差不多了，又开始查鸡店，估计这波行动要持续到年底。柬埔寨目前确实不太好待了，建议大家先回国过年，等年后再考虑出来吧。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 金三角特外，来了一大批联合执法，会塞和别的地区都到位了，目前特外暂时停工撤离了，暂时是待不了。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 金三角特区军营烧烤，一个兄弟马尿喝多喝多了闹事打人，喊打喊杀的，目前治安局已到达现场，枪都掏出来了！ 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
#网友投稿 老挝金三角特区梅陇湾一期、二期正在接受治安局例行检查，目前问题不大。 治安局人员还提醒，近期将开展大检查，大家多注意，别太明目张胆。 😀 【头条新闻】 @dny377 😃 【华人之光】 @dny935 ✅ 【投稿爆料】 @dny525
Showing the 12 most recent of 2,546 posts we hold for @dny377. 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 22 registered channels — 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.
@dny377 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件-头条新闻” (@dny377), 113,141 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/dny377.
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.