Channel
@dsj567
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29,670subscribers
+167 since we began measuring on 8 November 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001855796783 |
|---|---|
| Type | Channel |
| Usernames | @dny1115 @dsj567 |
| Description | 📣 东南亚大事件吃瓜新闻曝光 聚焦东南亚华人圈，揭秘灰产内幕，记录真实故事，追踪区域动态。 📬 功能板块： #新闻 #吃瓜 #曝光，一应俱全 🥸吃瓜频道： @dny1685 📮投稿联系： @ymym1199 关注“东南亚大事件”，让你了解华人在外的大事与小事都不简单 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 November 2026 |
| Last confirmed live | 13 November 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 November 2026 |
| On Telegram | t.me/dsj567 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 11 November 2026 and assigned it the closest of 31 fixed categories, at 85% 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 1 other registered channel. 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 |
|---|---|---|---|
| @tx960/329566 Nov 2026, 13:58 UTC | @dsj567/9715 · this entry7 Nov 2026, 15:00 UTC | 1.00 | 25 hours |
| @dsj567/9722 · this entry8 Nov 2026, 10:46 UTC | @tx960/330068 Nov 2026, 10:46 UTC | 1.00 | under a minute |
| @dsj567/9736 · this entry10 Nov 2026, 06:07 UTC | @tx960/3302810 Nov 2026, 06:07 UTC | 1.00 | under a minute |
| @dsj567/9743 · this entry10 Nov 2026, 11:53 UTC | @tx960/3304110 Nov 2026, 11:53 UTC | 1.00 | under a minute |
| @dsj567/9759 · this entry11 Nov 2026, 13:53 UTC | @tx960/3307211 Nov 2026, 13:53 UTC | 1.00 | under a minute |
| @tx960/3309012 Nov 2026, 11:27 UTC | @dsj567/9771 · this entry12 Nov 2026, 11:27 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @tx960 | 24 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (19–5) |
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. 5 of the 5 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 51 comparable posts for this entry, running 7 November 2026 to 12 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 @tx960. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 13 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 |
|---|---|---|
| 13 Nov 2026, 12:55 | 29,670 | +199 |
| 10 Nov 2026, 22:46 | 29,471 | -28 |
| 9 Nov 2026, 06:48 | 29,499 | -4 |
| 8 Nov 2026, 20:18 | 29,503 | first reading |
68 posts held, back to 7 November 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 11 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 4 of 67 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 68 (7 November 2026 – 13 November 2026) |
| Views total | 24,145 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 20:46 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 13 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 10 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 4 of the 68 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 7 November 2026 to 13 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 68 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).
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马来西亚警方将派调查组赴巴基斯坦，跟进130名公民卷入跨国诈骗案 11月12日最新消息，马来西亚警方确认，将派遣商业罪案调查人员前往巴基斯坦，进一步调查此前发生在拉瓦尔品第（Rawalpindi）KASA Tower的跨国诈骗呼叫中心案件。该案于10月13日被巴基斯坦执法部门捣毁，共有130名马来西亚公民被拘留。 据悉，130名被拘留者中，59人来自沙巴州，57人来自砂拉越州，其余14人来自马来西亚其他地区。 在签证及证件情况方面，107人被发现签证逾期，20人持有有效签证，2人获得签证延期，另有1人无法提供有效旅行证件。此外，其中2人还因涉嫌涉及沙巴州诈骗案件而被列入通缉名单。 根据巴基斯坦国家网络犯罪调查局（NCCIA）的案件资料，该诈骗团伙涉嫌冒充银行工作人员及马来西亚警察，通过电话和网络联系受害者，以账户异常、涉嫌犯罪等理由实施恐吓诈骗。 调查人员怀疑，诈骗所得资金通过马来西亚Touch ’n Go电子钱包收取…
VOD：柬埔寨网诈集团巨额资产去向成谜 透明度缺失引发各方质疑 尽管柬埔寨政府在2026年先后剥夺国籍并向中国引渡了太子集团创始人陈志（Chen Zhi）、前汇旺董事长李雄（Li Xiong）等网诈核心人物，但近期一份评论分析指出，这些犯罪网络在柬境内的土地、商业大楼及数亿美元存款等庞大资产处置极不透明，引发国际社会广泛担忧。 分析认为，金边当局仅公布抓捕与引渡结果，却未建立公开的资产追缴与受害者赔付机制，这不仅令外界质疑其意在掩盖本土权贵保护伞、规避司法深究，更令巨额资产面临在冻结前被暗中转移或低价私相授受的巨大风险。例如，遭美英制裁且涉巨额债务的云南景成集团创始人董勒成（Dong Lecheng）至今未被柬方采取行动；而柬法院于2026年10月宣布冻结的太子集团近10亿美元资产，目前亦仅停留在临时保全阶段，能否依法移交中方或退赔受害者仍属未知。 评论警告称，相较于美国司法部直接扣押陈志案价值约150亿美元的比特币，柬方若…
#网友投稿：希望东风园区江总看到后，能够为我们这些底层的兄弟们主持公道。 博创公司拖欠员工业绩提成，始终不发。其他公司在监狱里给员工发放生活费，出来后给予补偿。唯独我们博创公司，在监狱里没人管就算了，回来后没有补偿，这些我们也能忍。 可是，兄弟们做出的业绩，答应给的工资和业绩提成也不给。毕竟，兄弟们都是拿命挣点窝囊废。这点业绩，公司当初承诺的，为什么现在不给？就这样，消息也不读、不回，怎样对得起兄弟们？ 任何一个集团也好，公司也好，都离不开我们这些底层的“狗推”助力。 过河拆桥，太不地道了。当初承诺的算什么？兄弟们逃命几个月，担惊受怕，又坐了一年牢狱，九死一生，终于回到国内。还要面临“帽子叔叔”的压力，哪些不需要用钱？希望领导们看见后，能够换位思考。我们只是想要回属于自己的那一份而已。 江总旗下东风园区东创集团——博创公司 老板：黄毛、大洋（兼财务） 总监：麻子 组长：阿山、大宝 督导：宝森 从2025年10月下旬公…
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🇰🇭国公省副省长涉电诈？住宅遭警方搜查 11月12日，国公省警方突击检查副省长哈伦（Hak Leng）名下的一栋别墅，调查外国人在该处居住的情况。行动由省警察局长亲自带队，地点位于蒙多西玛县占也村。 警方在现场发现4名中国人，其中2名女性，均持有有效护照，并发现11部手机。 哈伦回应称，房屋由妻子出租给外国人，租赁情况受到管理，他认为没有涉及违法活动。
洪玛奈：和平需日复一日耐心铸就 今天上午，柬埔寨总理洪玛奈与夫人碧占莫妮共同出席在金边四臂湾交汇处核心地带举行的“法语国家村”揭幕启动仪式。 洪玛奈在致辞中强调，柬埔寨深知和平的珍贵价值，并深刻认识到和平需要依靠每一天的耐心去精心构筑。正因如此，本届第20届法语国家组织峰会以“携手共建和平，促进共同繁荣与持久稳定”为主题具有深远意义，而“法语国家村”则以“高棉的微笑将成为法语世界的微笑”为口号，象征着温暖、和平与希望。 此次系柬埔寨首次主办该峰会，也是自1997年河内峰会以来，法语国家峰会时隔近三十年重返东南亚地区。
美国查扣12亿美元被盗加密货币 11月12日，美国联邦调查局（FBI）宣布，已查扣价值超过12亿美元的加密货币。这些资产来自上个月币安（Binance）遭遇的黑客攻击。 此次攻击造成约63亿美元损失，被认为是史上最大规模的加密货币盗窃案。FBI此前将攻击归咎于朝鲜黑客组织TraderTraitor。目前，美国政府与私营机构已合计冻结超过27亿美元被盗资产。 FBI还指控朝鲜利用劫持通讯软件、深度伪造视频等手段，在过去18个月另行窃取约4亿美元加密货币。
英伟达创始人黄仁勋因婚外情风波辞职 掌舵33年落幕 11月12日，英伟达董事会正式宣布，公司联合创始人黄仁勋在担任首席执行官33年后辞职，且不再担任董事会成员。现任首席财务官克雷斯（Colette Kress）已出任临时首席执行官，董事会成员琼斯（Harvey Jones）则当选公司首位董事会主席。 据悉，黄仁勋近期陷入婚外情丑闻，不仅坦承出轨，更被曝与新加坡涉案云计算公司Megaspeed前高管黄乐及公司内部已婚女高管存在私情。 黄仁勋目前持股约3.61%，为英伟达第四大股东。受其离职消息冲击，英伟达股价应声下跌14%，市值跌破4万亿美元，为2025年7月来首次。并拖累纳斯达克与标普500指数期货双双走低。
Showing the 12 most recent of 68 posts we hold for @dsj567. 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 3 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.
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 13 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件|东南亚曝光|金三角大事件 @dsj567” (@dsj567), 29,670 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/dsj567.
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.