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Telegram profile photo for 马来西亚|曝光|大事件广播🅥

Channel

马来西亚|曝光|大事件广播🅥

@dnydgb

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

97,170subscribers

+31,853 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001310093366
TypeChannel
Usernames@dnydgb @hhhoc
Description🌐【实时】 马来西亚大事件广播 聚焦马来西亚华人圈,揭秘灰产内幕,记录真实故事,追踪区域动态。 🌐 涵盖区域: #柬埔寨 #菲律宾 #泰国 #缅甸 等 ✨ 功能板块: #爆料 #求助 #曝光,一应俱全 Public information channel. We follow Telegram community guidelines. 🧭东南亚大导航 【@dnyddh】 马 来 西 亚 最 大 群 组 【https://t.me/bc0688】 🖊投稿曝光及商务合作 【@daG_857】
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held125
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/dnydgb

Topic

National 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 100% 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@BGS8989/2565924 Aug 2026, 14:20 UTC@dnydgb/23025 · this entry24 Aug 2026, 14:48 UTC1.0028 minutes
@BGS8989/2566925 Aug 2026, 05:14 UTC@dnydgb/23044 · this entry25 Aug 2026, 06:04 UTC1.0050 minutes
@BGS8989/2569525 Aug 2026, 15:25 UTC@dnydgb/23225 · this entry25 Aug 2026, 23:42 UTC1.008.3 hours
@BGS8989/2570726 Aug 2026, 08:43 UTC@dnydgb/23250 · this entry26 Aug 2026, 09:48 UTC1.0065 minutes
@BGS8989/2573027 Aug 2026, 07:07 UTC@dnydgb/23300 · this entry27 Aug 2026, 13:17 UTC1.006.2 hours
@BGS8989/2583430 Aug 2026, 11:55 UTC@dnydgb/23401 · this entry30 Aug 2026, 12:44 UTC1.0049 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@BGS89897 (7/7 hand-verifiable sample passed)1.0050 minutes@BGS8989 (6–1)
@dnybgba7 (7/7 hand-verifiable sample passed)1.002.6 hoursthis entry (7–0)

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. 6 of the 6 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 2,424 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_copy · 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.

Growth

38,860106,15172,505.597,1707 August 202611 November 2026
125 measurements spanning 96 days, net +31,853. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 28,766–116,245 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 125
Measured (UTC)SubscribersChange
11 Nov 2026, 21:3997,170-983
11 Nov 2026, 01:2098,153-1,109
10 Nov 2026, 01:5999,262-651
9 Nov 2026, 11:5099,913+1,942
8 Nov 2026, 17:1897,971+6,890
8 Nov 2026, 05:1891,081-639
7 Nov 2026, 14:0591,720-1,153
7 Nov 2026, 03:3792,873-531
6 Nov 2026, 11:5093,404-486
6 Nov 2026, 04:0193,890-461
5 Nov 2026, 11:1994,351-537
5 Nov 2026, 01:0594,888-982
4 Nov 2026, 07:5095,870-242
4 Nov 2026, 03:4596,112-1,390
3 Nov 2026, 10:5697,502-195
3 Nov 2026, 04:5697,697-1,188
2 Nov 2026, 08:5698,885-688
2 Nov 2026, 01:4899,573-1,872
1 Nov 2026, 09:40101,445-1,852
1 Nov 2026, 03:05103,297first reading

Engagement

2,493 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 203 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.654%
avg views ÷ 97,170 subscribers
Avg views / post
636
686 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
686
of 2,493 held

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 62 of 686 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held2,493 (7 August 2026 – 12 November 2026)
Views total435,959
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 01:30 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.

What this channel posts

Photos
≈18,700
Videos
≈5,940
Links
≈16,400

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.

Video runtime
51m 56s
Average length
15s

Measured directly from 204 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.

Reaction mix

86 reactions across 76 posts, in 14 distinct kinds. The most used accounts for 18.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1618.6%
❤1214.0%
🔥910.5%
🥰89.30%
👏78.14%
🎉66.98%
😁66.98%
👌55.81%
👎44.65%
🍌33.49%
💔33.49%
🤩33.49%
⚡22.33%
❤‍🔥22.33%

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 77 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 86 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 30 September 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 686 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).

12 Nov 2026, 00:06 UTC≈1,070 viewsread 12 November 2026
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11 Nov 2026, 22:04 UTC≈1,830 viewsread 12 November 2026
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11 Nov 2026, 22:00 UTC≈1,330 viewsread 12 November 2026
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11 Nov 2026, 16:32 UTC≈1,110 viewsread 12 November 2026

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11 Nov 2026, 15:32 UTC≈1,420 viewsread 12 November 2026
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马来西亚歌手迪尼·拉希德自曝患抑郁症 吉隆坡消息:歌手迪尼·拉希德在沉寂五年后透露,他在连续两年内失去两位好友后患上抑郁症。他本名莫哈末·迪尼·阿卜杜勒·拉希德,向《马来西亚前锋报》表示,2022年一位同住好友因心脏病发作去世,约一年后另一位自幼相识的好友因乙肝去世,两人都在同一所房子里、在他怀中离世。他因视力仅剩约20%至30%,日常需要他人协助,两位好友生前给予他很多帮助。他称自己曾封闭社交、独处房间近两年,甚至害怕重返舞台唱歌。经心理治疗师和精神科医生帮助,加上家人朋友支持,他的情绪逐渐好转,已重新开始唱歌和锻炼。他目前重返乐坛,推出新单曲《Jangan Mati Di Sini》,该曲为电影《Takdir Terakhir, The Last Dive》原声带,影片将于12月3日上映。

11 Nov 2026, 14:05 UTC≈1,860 viewsread 12 November 2026
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11 Nov 2026, 13:59 UTC≈1,420 viewsread 12 November 2026
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亚沙汉州席希盟候选人代表遇车祸身亡 11月11日,马六甲亚罗牙也亚沙汉州席希盟候选人代表J. Samivel在亚沙汉希盟州席主要行动室前遇车祸身亡。他同时是公正党亚罗牙也区部副主席,也是该席希盟候选人P. Denesh的代表。希盟选举委员会JPPH当日发文告公布此事并致哀,称其离世是家属、朋友、党员及所有认识他的人的巨大损失,并请各方给予家属足够时间平静办理葬礼。JPPH也感谢他服务党期间,尤其是第16届马六甲州选竞选期间的付出与贡献。

11 Nov 2026, 12:05 UTC≈1,430 viewsread 12 November 2026
Video

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11 Nov 2026, 12:01 UTC≈1,260 views1 reactionsread 12 November 2026
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伊斯兰党中央不干预土团党州议员职务安排 伊斯兰党中央表示,不介入其执政的三个州属在行政事务上对土著团结党州议员出任州政府职务的安排。伊斯兰党副主席端依布拉欣指出,此事完全交由各州政府根据行政需要决定,中央仅在涉及党务时接收报告。此前,吉兰丹土团党主席卡马鲁丁证实已于前日被撤出州行政议会,吉兰丹副州务大臣法兹里周三发声明确认,阿逸拉纳斯州议员出任旅游、文化、艺术及遗产事务行政议员的任命未获续任并获吉兰丹苏丹御准。此事也引发对吉兰丹另外两名土团党州议员担任副行政议员职务情况的关注。伊斯兰党目前执政吉兰丹、登嘉楼和吉打三州。

😁1

11 Nov 2026, 12:00 UTC≈1,550 viewsread 12 November 2026
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11 Nov 2026, 09:40 UTC≈1,650 viewsread 12 November 2026
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频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/souso?start=autopromo_-1001310093366_7619366114_groups_1c667743

11 Nov 2026, 09:25 UTC≈1,190 views2 reactionsread 12 November 2026
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登嘉楼民政党代表下周宣誓就任州议员 登嘉楼州务大臣拿督斯里阿末山苏里表示,来自马来西亚民政党的华裔代表将于下周州议会会议首日宣誓就任受委州议员,以便参与包括州政府财政预算案辩论在内的议程。他称,该受委州议员不会获得特定职务,而是负责传达并争取非马来社群、尤其是登嘉楼华裔的利益。他补充,州政府未来也愿意考虑委任其他族群代表,前提是相关群体人数显著且需要州议会代表。阿末山苏里此前宣布这项委任建议,并称其依据登嘉楼州宪法规定,允许州政府委任在州议会中没有代表的群体、族群或性别代表。针对委任将加重州财政负担的说法,他解释,委任自州政府成立初期以来延迟落实,源于财务管理方面的挑战。

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Showing the 12 most recent of 2,493 posts we hold for @dnydgb. 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.

Posts recorded as deleted after publishing

We recorded 7 posts on @dnydgb 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.

First seen missing
18 August 2026
Most recent seen missing
10 November 2026
Median time before seen missing
25 hours
Seen missing in the last 30 days
2

Mentions

Named by 2 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.

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.

Cite this entry

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.

“马来西亚|曝光|大事件广播🅥” (@dnydgb), 97,170 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/dnydgb.

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.