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Channel
华人大事件
@dashijian
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
184,227subscribers
-16,435 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001916970679 |
|---|---|
| Type | Channel |
| Username | @dashijian |
| Description | 『放眼东南亚-聚焦大事件』 华人大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 投稿爆料: @daka 双向投稿机器人: @dashijianbot 认准大事件全拼,谨防假冒! |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/dashijian |
Topic
National news — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 69% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 13:20 | 184,227 | -14,530 |
| 3 Sept 2026, 13:41 | 198,757 | -804 |
| 2 Sept 2026, 06:57 | 199,561 | -755 |
| 1 Sept 2026, 06:39 | 200,316 | -611 |
| 31 Aug 2026, 05:54 | 200,927 | -549 |
| 30 Aug 2026, 08:25 | 201,476 | -733 |
| 29 Aug 2026, 08:47 | 202,209 | -817 |
| 28 Aug 2026, 08:04 | 203,026 | -435 |
| 27 Aug 2026, 08:37 | 203,461 | -1,438 |
| 26 Aug 2026, 07:02 | 204,899 | -570 |
| 25 Aug 2026, 07:03 | 205,469 | -533 |
| 24 Aug 2026, 06:55 | 206,002 | -722 |
| 22 Aug 2026, 16:44 | 206,724 | -4,456 |
| 21 Aug 2026, 06:04 | 211,180 | -5,931 |
| 20 Aug 2026, 07:37 | 217,111 | +14,639 |
| 19 Aug 2026, 07:35 | 202,472 | -653 |
| 18 Aug 2026, 10:12 | 203,125 | -684 |
| 17 Aug 2026, 10:02 | 203,809 | -983 |
| 15 Aug 2026, 19:23 | 204,792 | -578 |
| 14 Aug 2026, 09:46 | 205,370 | first reading |
Engagement
895 posts held, back to 6 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 64 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.81%
- avg views ÷ 184,227 subscribers
- Avg views / post
- 18,100
- 884 posts measured
- Reaction rate
- 0.005%
- reactions ÷ views · ER floor
- Posts in window
- 884
- of 895 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 251 of 884 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 September 2026 |
|---|---|
| Posts held | 895 (6 August 2026 – 5 September 2026) |
| Views total | 15,979,515 |
| Reactions total | 229 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Sept 2026, 14:36 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
- ≈32,200
- Videos
- ≈7,860
- Links
- ≈11,400
Lifetime counters from Telegram’s own channel header, read 5 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
- 3h 08m
- Average length
- 36s
Measured directly from 311 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
238 reactions across 179 posts, in 11 distinct kinds. The most used accounts for 79.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 188 | 79.0% | |
| 👍 | 36 | 15.1% | |
| ✍ | 3 | 1.26% | |
| ❤🔥 | 2 | 0.84% | |
| 👻 | 2 | 0.84% | |
| 🤔 | 2 | 0.84% | |
| ⚡ | 1 | 0.42% | |
| 🌭 | 1 | 0.42% | |
| 👏 | 1 | 0.42% | |
| 😁 | 1 | 0.42% | |
| 🤣 | 1 | 0.42% |
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 256 of the 895 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 238 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 895 most recent posts we hold, published 6 August 2026 to 5 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
#缅甸快讯:东枝今天下午,军车上载着大多数都是年轻人17/8岁 看到他们脸色估计都是抓去当兵的,每一张车上有四名警察拿着枪,车队已经路过二十多辆了。 关注大事件频道➡️ @dashijian 投稿:@daka
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#网友提醒:现在西港检查几乎到了最严的时候,大家带好合法证件,不要违法。 简单的消息,月底结束,不是不查,是没有这么严厉了,检查还会是常态化。大家保重🙏请遵守当地的法律。 关注大事件频道➡️ @dashijian 投稿:@daka
#国内新闻:武汉警方打掉特大“鉴宝”直播诈骗团伙:81人被刑拘,涉案超千万元 “免费鉴宝”“高价回收”“百万大奖”……看似天花乱坠的财富机会,背后却是一场精心设计的骗局。 近日,湖北武汉警方通报,武汉市公安局洪山区分局成功打掉一个专门针对老年收藏群体实施诈骗的犯罪团伙。警方抽调百余名警力,跨越三省四市开展集中收网行动,共抓获犯罪嫌疑人81名。目前,涉案人员已被依法刑事拘留,案件正在进一步办理中。 警方调查显示,该团伙以“免费鉴宝、高价回收”为诱饵,通过短视频平台精准寻找有收藏需求的老年人,再将受害者引流至直播间。主播冒充博物馆馆长、专业鉴定人员等身份,对老人手中的藏品进行“专业点评”,并故意给出远高于市场行情的收购价格,以此取得受害人的信任。 在取得信任后,诈骗团伙进一步利用情感套路实施诈骗。 直播过程中,有人以“认干亲”“送养老钱”等方式与老人套近乎,甚至通过所谓祈福、承诺养老等手段拉近关系,让受害人逐渐放松警惕。随后…
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香港警方开展大规模反诈专项行动,一共拘捕269人,涉案总金额高达3.2亿港元 这次行动从8月24日持续到9月2日,一共破获203宗案件,包含电话诈骗、网购骗局、网络投资诈骗等多种类型。 很多骗子伪装成支付平台、快递公司的客服,谎称包裹派送失败、账户存在异常,以此作为借口,一步步诱导受害人落入圈套。 警方特别提醒,港漂群体是这类诈骗的重点目标人群。后续警方还会联合通讯管理部门持续推进反诈工作,保护在港读书、工作人士的财产安全。 😄 订阅华人大事件频道 ↓ ❤️ https://t.me/dashijian 😄投稿爆料: @xiaobian 👌加入群聊: @one66
#网友投稿:🇰🇭西港凯旋也顶不住了,刚刚物业下达通知说20号之前要全部清场 至此,西港又一个神话倒下 关注大事件频道➡️ @dashijian 投稿:@daka
Showing the 12 most recent of 895 posts we hold for @dashijian. 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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@meinvj · 11,17521 posts西港日记|新闻.曝光
@xgzpw · 22,87517 posts缅北园区吃瓜
@yuanqubot · 16,87916 posts美女直播/写真套图/美女网红
@meinvn · 7,47013 posts缅北反诈曝光
@bikeng2 · 3,40410 posts柬埔寨大事件
@jpz8887 · 3,53910 posts东南亚华人日记
@WB055 · 16710 posts东南亚悲剧档案|柬埔寨新闻
@DNYBJDA · 1,4826 posts东南亚舔狗日记|东南亚挨打日记
@pyzcnc · 1,0496 posts金三角曝光悬赏|金三角悬赏曝光
@HLS0005 · 1014 posts阳光新闻 soso合作伙伴
@JujishouHuTuTuu · 44 posts阳光集团|曝光骗子|曝光吃瓜
@lii888jhg · 74 posts色敲短信|色敲彩信|色敲杀猪
@pao223 · 134 posts人民社团 灰产导航 华人社区
@renminshetuan · 214 posts七星集团|云线集团|昌盛会所
@sunshine668888 · 34 posts缅北集团 阳光新闻 最大的曝光平台
@yyyw06 · 764 posts金贝酒店|金运园区|南山科技园区
@MIANBEI186 · 423 posts缅北集团💍免费人设套图
@renshe2024 · 6,0693 posts东南亚新闻|海豹资讯曝光|news
@JXBGW · 108,2452 posts阳光集团 阳光新闻 大咖联盟
@yangguang · 4,8152 posts人民日报 @renmin
@aayyz91 · 11 post东南亚黑暗事件
@DNY_hasj · 186,5561 post吃瓜群众 博牛新闻 @boniu
@wangzha168788 · 21 post🌎头条事件
@xinrui07 · 42,7511 post
Names
Channels on the register whose handles appear in this channel's posts.
@one66 · 6,54841 postsY3国际 官方频道
@ai038 · 2,55327 postssky娱乐机器人 @tkyx
@sky8app_bot · 47,01927 postssky娱乐 @TKYL
@tkyl · 6,55127 postssky娱乐红包通知群 @TKYX
@tkyl2026 · 5,86127 posts182体育-官方频道
@TY_182 · 3,32027 postsX6宝马会-官方频道
@x6x6 · 13,12327 posts盈丰娱乐【官方频道】
@YFYLCVIP · 32525 posts2028体育综合台官方频道
@pg2028ty · 9,38319 posts182体育 合营中心
@DLHY182 · 1,68916 posts九博国际 · 公群导航
@jbgj · 13,59415 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,85715 posts🔥金贝娱乐场-jinbei.com-【官方招商】🔥
@jbzhaoshang · 5,05614 postsbolai.com铂莱世界杯冠名
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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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“华人大事件” (@dashijian), 184,227 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/dashijian.
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.