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Channel

马来西亚大事件广播🅥

@dnydgb

2 usernames

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

63,647subscribers

-1,670 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 🖊投稿曝光及商务合作 @hhhc888
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 live19 September 2026
Measurements held63
Confirmed unchanged1 time, most recently 19 September 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 why it has no browse page of its own yet.

Growth

54,84677,44666,14663,6477 August 202619 September 2026
63 measurements spanning 43 days, net -1,670. 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 51,456–80,836 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
19 Sept 2026, 09:2263,647-1,249
17 Sept 2026, 15:1964,896-345
16 Sept 2026, 23:3665,241-1,651
15 Sept 2026, 10:3966,892-1,474
15 Sept 2026, 03:2068,366-9,080
13 Sept 2026, 22:1977,446+5,742
13 Sept 2026, 14:5971,704+8,773
12 Sept 2026, 07:5762,931-653
11 Sept 2026, 21:1563,584-1,459
10 Sept 2026, 04:3965,043-1,002
9 Sept 2026, 10:4166,045-1,399
6 Sept 2026, 19:1667,444-471
6 Sept 2026, 05:1467,915-1,735
4 Sept 2026, 05:4269,650-84
3 Sept 2026, 19:5969,734-670
2 Sept 2026, 16:3470,404-125
2 Sept 2026, 12:2470,529-963
1 Sept 2026, 14:2771,492-27
1 Sept 2026, 14:0571,519-1,076
31 Aug 2026, 17:1172,595first reading

Engagement

1,239 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 96 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.523%
avg views ÷ 63,647 subscribers
Avg views / post
333
887 posts measured
Reaction rate
0.487%
reactions ÷ views · ER floor
Posts in window
887
of 1,239 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 23 of 887 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 20 September 2026
Posts held1,239 (7 August 202620 September 2026)
Views total294,978
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 13:36 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
15,700
Videos
5,470
Links
13,900

Lifetime counters from Telegram’s own channel header, read 20 September 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
55m 34s
Average length
11s

Measured directly from 309 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

25 reactions across 22 posts, in 12 distinct kinds. The most used accounts for 20.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💔520.0%
🍌312.0%
👌312.0%
28.00%
🎉28.00%
👍28.00%
🔥28.00%
🥰28.00%
14.00%
❤‍🔥14.00%
👎14.00%
🤩14.00%

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 23 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 25 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 15 August 2026 to 20 September 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

20 Sept 2026, 13:25 UTC16 viewsread 20 September 2026
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20 Sept 2026, 13:20 UTC15 viewsread 20 September 2026
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#新加坡资讯 新加坡周日傍晚空气质量中等至不健康,苏门答腊烟霾持续影响 新加坡9月20日傍晚空气质量处于中等至不健康水平。周日下午降雨过后,24小时空气污染指数PSI较之前小幅回落,但下午5点,24小时PSI仍维持中等至不健康区间,一小时PM2.5浓度正常至偏高。 国家环境局下午5时发布通报,北部、东部午后出现阵雨,一小时PM2.5在24至73微克/立方米,24小时PSI介于71至102。环境局称,加里曼丹、苏门答腊中南部仍存在火点,持续产生中重度烟羽,苏门答腊方向烟霾正往新加坡移动。 预报显示苏门答腊南部、加里曼丹西南部天气持续干燥,吹东南风,新加坡未来24小时PSI大概率维持中等至轻微不健康。周日上午空气质量曾恶化,中部、西部、东部24小时PSI均达到不健康等级。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

20 Sept 2026, 13:08 UTC17 views2 reactionsread 20 September 2026
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AI开始形成自己的“黑话”:多个智能体没人教也会自己造词交流 9月15日,一项最新人工智能研究显示,多个智能体在长期交流和协作过程中,开始自行创造新词、缩写和特殊表达,逐渐形成只有彼此更容易理解的“黑话”。 实验持续16天,研究人员并没有要求人工智能创造新语言,也没有为这种行为设置奖励。但随着交流增加,不同智能体会主动创造新说法,其他智能体随后接受并继续使用。 部分表达虽然由正常词语组成,但脱离它们之间形成的共同语境后,人类已经很难直接理解具体含义。 研究人员认为,这还不能算人工智能创造出完整的新语言,但说明多个智能体长期自主协作后,可能自行形成独特的交流规则。随着人工智能拥有更强的联网、记忆和协作能力,如何确保人类能够持续看懂并监督它们之间的交流,正在成为新的安全问题。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

👍2

20 Sept 2026, 12:40 UTC11 views1 reactionsread 20 September 2026
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西港警方逮捕两名假冒警察的柬籍男子 西港警方今天披露,9月15日,西港省警察局轻案犯罪调查科成功抓获2名柬籍男子。 据悉,两名嫌疑人分别为25岁的Hom Savy和40岁的Thai Ratha,均居住于西港。二人因涉嫌在西港一家赌场内冒充警察、擅自盘查外国游客护照而被捕。 警方现场缴获1部手机、1块手表及1辆红色的Scoopy摩托车。目前,两名嫌疑人已被押送至省警局依法审讯及处理。 大胆!抢正版的生意! 必须抓!且要重判! 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

🎉1

20 Sept 2026, 12:39 UTC14 viewsread 20 September 2026
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#马来西亚新闻 #交通事故 #安全提醒 亚罗士打9月20日发生惨烈车祸,一名21岁女子骑士努尔阿蒂卡因进入大型拖车司机的盲点,导致司机未能及时发现她。两车在红绿灯路口同时右转起步时,不幸撞击造成女骑士倒地后被辗压,当场身亡。死者生前在当地咖啡馆工作,警方已扣押涉事摩托车和拖车,正调取监控并寻求目击证人,司机尿检结果为阴性,案件正根据1987年陆路交通法令第41(1)条款调查中。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

20 Sept 2026, 12:32 UTC24 views1 reactionsread 20 September 2026
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#泰国资讯 台中年43岁男子杀害泰国女友,行凶后转运遗体藏办公室冰柜一周被捕 2026年9月20日消息,据台媒报道,43岁吴姓男子在台中市高档写字楼科技公司任职,与36岁泰国女子交往一年。9月2日女方赴台并提出分手,双方在台北西门町酒店发生激烈争吵,男子掐住女方颈部致其窒息死亡。 嫌疑人将遗体装入黑色行李箱,驾车南下约170公里运回台中办公室,放置在办公桌旁冰柜藏匿。公司多数员工远程办公,案件长达一周未被发现。女方家属联系不上当事人,委托友人9月18日报案。警方调取监控锁定吴某,9月19日在冰柜找到遗体,将嫌疑人押回台北,以谋杀罪移送检方侦办。 感情矛盾切勿诉诸暴力,冲动行凶酿成悲剧,嫌疑人将面临法律严惩。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

🔥1

20 Sept 2026, 12:10 UTC22 viewsread 20 September 2026
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#马来西亚车祸 #连环撞事故 #交通安全 【马来西亚焦点车祸:美露安邦路凌晨15车连撞,3骑士不幸身亡,9人受伤】 9月20日凌晨大约3点35分,怡保美露-安邦路发生一起波及12辆摩托车和3辆轿车的严重连环撞车事故。这起悲剧导致3名摩托骑士遇难,另有9人受伤,3名轿车司机则安然无恙。警方初步调查发现,涉事车辆均沿美露往打扪方向行驶,且以群体形式同行,目前是否涉及飙车仍在进一步核查中。事故中,两名年龄分别为19岁和20岁的骑士当场死亡,另一名19岁骑士随后在怡保中央医院急诊部宣告不治。警方依据1987年陆路交通法令第41(1)条展开调查,呼吁知情者积极提供线索。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

20 Sept 2026, 12:09 UTC20 viewsread 20 September 2026
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⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 😋😎😌😚😍😎😝😙😋😚 😌😋😛😋😛😛😌😌😌😋🥰 58娱乐|万物竞猜 ⚡️ 为什么越来越多人关注「万物竞猜」? 不是只看结果, 而是用判断参与市场,用价格观察趋势。 赛事、科技、财经、热点事件, YES / NO 二选一,实时价格反映市场概率。 看好可以参与, 行情变化可以调整, 不必等最终结果,过程中也能买卖。 📊 看热点|做判断|跟踪行情|灵活进退 🔗 专属链接:https://bc58.cool/570 📲 福利社群: t.me/dnylhzbvip 😋😋😛😋😋:BC58.COM 😌😌😍😚😙:@bc58vip ❤️❤️❤️❤️❤️:@bc58kefu 😋😛😋🤓😎❤️ 😄😄😄😄😄😄😄😄😄😄😄😄

20 Sept 2026, 11:55 UTC20 viewsread 20 September 2026
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20 Sept 2026, 11:47 UTC14 viewsread 20 September 2026
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#柬埔寨资讯 磅通省近百公顷稻田面临洪水威胁,当地部门赴现场勘察灾情 2026年9月20日,磅通省丹高县县长哈蒙胡带队,联合多部门及乡干部前往暴雨受灾区域查看灾情。当地合计93公顷临近收割的稻田受到洪水威胁,受灾区域集中在斯劳乡与特里亚乡,涉及8户农户。 其中斯劳乡受灾稻田43公顷,涉及5户农户;特里亚乡50公顷,涉及3户农户。农业技术人员评估,如果未来3至7天水位持续上涨,稻田将会减产;若天气好转、水位快速下降,农户可抢收部分粮食,减少经济损失。 哈蒙胡县长在现场要求基层和农业工作人员持续监测水位,落实应急预案,险情发生时及时上报、快速处置,保障农户财产安全。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

20 Sept 2026, 11:39 UTC18 views2 reactionsread 20 September 2026
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#怡保抓捕 #日本诈骗 #网络犯罪 【惊曝!日本人假扮好友诈骗,同伙在怡保被捕】9月20日,霹雳州总警长莫哈末阿尔威透露,警方接获线上赌博情报后,于本月16日下午在怡保独立花园展开突击行动,成功逮捕6名年纪介于22到58岁的日本男子及1名本地华裔男子。这伙诈骗团伙从8月中旬以呼叫中心方式作案,伪装成受害者的朋友,骗取日本民众信任。警方当场查获16部手机、1台笔记本电脑、1台无线网络路由器以及1串住家钥匙,估计市值约2万令吉。日本嫌犯被扣押至9月20日,本地男子则被扣留1天,案件正依刑事法典第420及120B条进行调查。 📣订阅马来西亚大广播频道↓ 🔔 https://t.me/dnydgb 💬欢迎投稿爆料:➡️ @hhhc888

1🎉1

20 Sept 2026, 11:31 UTC16 viewsread 20 September 2026
Video

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Showing the 12 most recent of 1,239 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“马来西亚大事件广播🅥” (@dnydgb), 63,647 subscribers as measured 19 September 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.