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Channel
@DNY3030
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
174,403subscribers
+113,319 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001910076738 |
|---|---|
| Type | Channel |
| Usernames | @DNY3030 @nb520 |
| Description | 「海外风云多变幻,人间烟火最关情」 🌐 涵盖区域: #柬埔寨 #菲律宾 #泰国 #缅甸 #迪拜 #马来西亚 ✨ 功能板块: #爆料 #求助 #曝光,一应俱全 🔗 关注不迷路:@KK88 📌️️️️️️ 商务/投稿:@my111 @yukio668 欢迎各界知情人士提供线索,匿名安全有保障 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 November 2026 |
| Measurements held | 128 |
| Confirmed unchanged | 1 time, most recently 14 November 2026 |
| On Telegram | t.me/DNY3030 |
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 45% 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 12 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 |
|---|---|---|---|
| @DNY3030/60726 · this entry3 Nov 2026, 17:21 UTC | @dny1949/541113 Nov 2026, 17:21 UTC | 1.00 | under a minute |
| @DNY3030/60740 · this entry3 Nov 2026, 20:28 UTC | @dny1949/541253 Nov 2026, 20:28 UTC | 1.00 | under a minute |
| @DNY3030/60884 · this entry4 Nov 2026, 18:38 UTC | @dny1949/542544 Nov 2026, 18:39 UTC | 1.00 | under a minute |
| @DNY3030/60886 · this entry4 Nov 2026, 18:49 UTC | @dny1949/542564 Nov 2026, 18:50 UTC | 1.00 | under a minute |
| @DNY3030/61002 · this entry5 Nov 2026, 15:57 UTC | @dny1949/543725 Nov 2026, 15:57 UTC | 1.00 | under a minute |
| @DNY3030/61016 · this entry5 Nov 2026, 17:51 UTC | @dny1949/543825 Nov 2026, 17:51 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @dny1949 | 37 (8/8 hand-verifiable sample passed) | 0.99 | under a minute | this entry (36–1) |
| @dubaixinwen2 | 35 (8/8 hand-verifiable sample passed) | 0.93 | 3 days | this entry (35–0) |
| @dibai8 | 34 (8/8 hand-verifiable sample passed) | 0.92 | under a minute | @dibai8 (34–0) |
| @daxxx | 29 (8/8 hand-verifiable sample passed) | 0.90 | under a minute | this entry (28–1) |
| @XLABdxb | 22 (8/8 hand-verifiable sample passed) | 0.93 | under a minute | @XLABdxb (19–3) |
| @dnyzx190 | 12 (8/8 hand-verifiable sample passed) | 0.94 | 2 days | this entry (12–0) |
| @dubai0 | 10 (8/8 hand-verifiable sample passed) | 0.94 | 72 seconds | @dubai0 (10–0) |
| @weiji | 8 (8/8 hand-verifiable sample passed) | 0.94 | under a minute | this entry (5–3) |
| @dibaiTT | 8 (8/8 hand-verifiable sample passed) | 0.92 | 59 minutes | this entry (8–0) |
| @dnymp | 6 (5/6 hand-verifiable sample passed) | 0.97 | under a minute | this entry (6–0) |
| @RR8vip | 5 (5/5 hand-verifiable sample passed) | 0.88 | 3 days | this entry (5–0) |
| @bc123cobg | 5 (5/5 hand-verifiable sample passed) | 0.91 | 3 days | this entry (5–0) |
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. 68 of the 68 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 2,170 comparable posts for this entry, running 7 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, 11:48 | 174,403 | -36 |
| 14 Nov 2026, 10:46 | 174,439 | -427 |
| 11 Nov 2026, 14:52 | 174,866 | -22 |
| 11 Nov 2026, 11:56 | 174,888 | -300 |
| 9 Nov 2026, 21:05 | 175,188 | -3 |
| 9 Nov 2026, 18:01 | 175,191 | -202 |
| 8 Nov 2026, 12:44 | 175,393 | -25 |
| 8 Nov 2026, 10:16 | 175,418 | -192 |
| 7 Nov 2026, 07:06 | 175,610 | -28 |
| 7 Nov 2026, 01:37 | 175,638 | -37 |
| 6 Nov 2026, 04:01 | 175,675 | -7 |
| 5 Nov 2026, 23:16 | 175,682 | -55 |
| 5 Nov 2026, 00:26 | 175,737 | -13 |
| 4 Nov 2026, 21:06 | 175,750 | -70 |
| 4 Nov 2026, 01:25 | 175,820 | -24 |
| 3 Nov 2026, 17:44 | 175,844 | -282 |
| 3 Nov 2026, 02:21 | 176,126 | -170 |
| 2 Nov 2026, 16:24 | 176,296 | -101 |
| 2 Nov 2026, 04:51 | 176,397 | -64 |
| 1 Nov 2026, 19:07 | 176,461 | first reading |
2,517 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 201 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 607 of 776 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 | 2,517 (7 August 2026 – 14 November 2026) |
| Views total | 2,431,603 |
| Reactions total | 11,605 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 23:59 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 14 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 197 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.
11,709 reactions across 667 posts, in 14 distinct kinds. The most used accounts for 15.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,842 | 15.7% | |
| 👍 | 1,781 | 15.2% | |
| 🔥 | 1,645 | 14.0% | |
| 🎉 | 1,638 | 14.0% | |
| 🥰 | 1,621 | 13.8% | |
| 🤩 | 1,593 | 13.6% | |
| 👏 | 1,572 | 13.4% | |
| 😍 | 11 | 0.094% | |
| custom 5059806104179967649 | 1 | 0.009% | |
| custom 5186433302118008597 | 1 | 0.009% | |
| custom 6145332910418301717 | 1 | 0.009% | |
| ❤🔥 | 1 | 0.009% | |
| 👌 | 1 | 0.009% | |
| 💯 | 1 | 0.009% |
Custom emoji. 3 of the rows above are 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 698 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 11,709 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 7 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DNY3030. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 7 October 2026 to 14 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 144 of 776 posts held from the last 30 days (18.6%) 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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拆解一个迪拜的骗局之代收转寄 之前总刷到这玩意,就是说在迪拜阿布扎比的请帮忙,然后点开以后是帮忙收快递,或者找兼职,产品评测啥的,总是结果就是把快递寄给你,然后你在帮忙转寄给他。 就好奇这是个什么骗局,直到我终于找到一个做过这个的人,采访了一下才搞清楚逻辑。 这有个学名,叫代收转寄,英文一般叫 reshipping mule(转运骡子),核心就一点,盗刷下面的产业链。 用盗刷的卡在网购平台下单,运到你家,你实名签收,转运给骗子,骗子给你点好处费。 核心在于钱是别人被盗刷的,最后被查上门的也是你,这里拆解一下。 收货地址会暴露自己。写自己的地址,持卡人一报案,警察顺着地址就找上门了。 平台风控会拦截。卡是阿联酋本地的,收货地址和收件人也是本地真人,订单看起来就很正常,不容易被拦。 所以他需要一个真实的、本地的、和他没有直接关系的人来收货。 另外,这个骗局还有针对游客的版本,帮忙带东西回国,有一些就是这种。 一步…
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黄仁勋离职,特朗普失势,阿联酋的AI芯片还稳吗? 01 黄仁勋离职 黄仁勋的事情各位都知道了吧,这两天不管是正经的分析文章还是网络各路大神的玩梗都已经很多很多 11月11日,英伟达董事会接受 黄仁勋辞去总裁、CEO和董事职务 11月12日,英伟达正式对外发布CEO更替公告 02 黄仁勋和阿联酋的关系 2024年9月24日,阿联酋总统MBZ在访问华盛顿期间,会见了微软CEO萨提亚·纳德拉、贝莱德CEO拉里·芬克,以及英伟达CEO黄仁勋 会谈主题包括人工智能发展、现代技术以及阿联酋与美国在相关领域的合作 就在MBZ访美的时间节点上,2024年9月20日 G42与英伟达宣布合作 双方将合作开发用于改善全球天气预报准确性的AI解决方案,并计划在阿布扎比建立运营基地和气候技术实验室 2024年9月,MGX与贝莱德旗下Global Infrastructure Partners、微软等共同参与创建全球AI基础设施投资…
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网友:曾经迪拜色粉久久集团董事长渣渣辉再次跑路了 阿辉盘口在仰光被端,阿辉得知了,直接跑路 U账号几百万u,欠我们工资都不给 😀😀😀😀😀😀😀 🫥 一站式东南亚导航:@KK88 ✈️ 免费能量/查U:@zhaoU 🙂 投稿/商务:@my111
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一顿生日晚餐,竟成最后一聚:一位母亲在富查伊拉车祸中痛失21岁双胞胎儿女与3岁外孙 在富查伊拉交通事故夺走她四个孩子中的两个以及她孙子的生命数日后,阿里法(Arifa)仍在努力接受这场悲剧。“我到现在都不知道发生了什么。”她告诉《Khaleej Times》。 阿里法坐在富查伊拉医院(Fujairah Hospital)里,身旁是她最小的孙子——这名一岁幼儿因腿部骨折正在接受治疗。她旁边,女儿法尔萨娜(Farsana)坐在轮椅上,一只手打着石膏,脸上有淤青。阿里法的侄女法赫米达(Fahmida)陪着她们。 阿里法21岁的双胞胎子女穆罕默德·阿斯米尔(Mohammed Asmil)和米斯纳·朱宾(Misna Jubin),以及她3岁的孙子穆罕默德·法伊兹(Mohammed Fayiz),在乘坐的汽车撞上卡车时不幸身亡。 事发前,一家人送法赫米达回沙迦的家,返程途中遭遇车祸。 “我们在姆莱哈(Mleiha)停下来喝了茶。”…
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Showing the 12 most recent of 2,517 posts we hold for @DNY3030. 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 7 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.
@DNY3030 named 10 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
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.
“【实时】东南亚大事件” (@DNY3030), 174,403 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/DNY3030.
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.