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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
TypeChannel
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!
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.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

184,227217,111200,6696 August 2026 — 200,662 subscribers6 August 2026 — 200,647 subscribers8 August 2026 — 200,290 subscribers8 August 2026 — 207,857 subscribers9 August 2026 — 207,437 subscribers10 August 2026 — 206,970 subscribers11 August 2026 — 206,357 subscribers13 August 2026 — 205,950 subscribers14 August 2026 — 205,370 subscribers15 August 2026 — 204,792 subscribers17 August 2026 — 203,809 subscribers18 August 2026 — 203,125 subscribers19 August 2026 — 202,472 subscribers20 August 2026 — 217,111 subscribers21 August 2026 — 211,180 subscribers22 August 2026 — 206,724 subscribers24 August 2026 — 206,002 subscribers25 August 2026 — 205,469 subscribers26 August 2026 — 204,899 subscribers27 August 2026 — 203,461 subscribers28 August 2026 — 203,026 subscribers29 August 2026 — 202,209 subscribers30 August 2026 — 201,476 subscribers31 August 2026 — 200,927 subscribers1 September 2026 — 200,316 subscribers2 September 2026 — 199,561 subscribers3 September 2026 — 198,757 subscribers5 September 2026 — 184,227 subscribers6 August 20265 September 2026
28 measurements spanning 30 days, net -16,435. 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 179,294–222,044 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
5 Sept 2026, 13:20184,227-14,530
3 Sept 2026, 13:41198,757-804
2 Sept 2026, 06:57199,561-755
1 Sept 2026, 06:39200,316-611
31 Aug 2026, 05:54200,927-549
30 Aug 2026, 08:25201,476-733
29 Aug 2026, 08:47202,209-817
28 Aug 2026, 08:04203,026-435
27 Aug 2026, 08:37203,461-1,438
26 Aug 2026, 07:02204,899-570
25 Aug 2026, 07:03205,469-533
24 Aug 2026, 06:55206,002-722
22 Aug 2026, 16:44206,724-4,456
21 Aug 2026, 06:04211,180-5,931
20 Aug 2026, 07:37217,111+14,639
19 Aug 2026, 07:35202,472-653
18 Aug 2026, 10:12203,125-684
17 Aug 2026, 10:02203,809-983
15 Aug 2026, 19:23204,792-578
14 Aug 2026, 09:46205,370first reading

Engagement

895 posts held, back to 6 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 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 September 2026
Posts held895 (6 August 20265 September 2026)
Views total15,979,515
Reactions total229
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18879.0%
👍3615.1%
31.26%
❤‍🔥20.84%
👻20.84%
🤔20.84%
10.42%
🌭10.42%
👏10.42%
😁10.42%
🤣10.42%

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

5 Sept 2026, 14:30 UTC84 viewsread 5 September 2026
Photo

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5 Sept 2026, 14:11 UTC209 viewsread 5 September 2026
Video

#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

5 Sept 2026, 14:05 UTC212 viewsread 5 September 2026
Photo

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5 Sept 2026, 14:00 UTC183 viewsread 5 September 2026
Video

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5 Sept 2026, 13:44 UTC314 viewsread 5 September 2026
Photo

#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

5 Sept 2026, 13:25 UTC405 viewsread 5 September 2026
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#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

5 Sept 2026, 13:11 UTC391 viewsread 5 September 2026
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#网友反馈:西港这栋大楼今天被宪兵队照顾了,据说里面很多都是搞线上博彩的,不知道有没有抓人。 关注大事件频道➡️ @dashijian 投稿:@daka

5 Sept 2026, 13:05 UTC351 viewsread 5 September 2026
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5 Sept 2026, 13:00 UTC341 views1 reactionsread 5 September 2026
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👏1

5 Sept 2026, 12:35 UTC427 viewsread 5 September 2026
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#网传消息:为迎合本月金边召开的国际反电炸大会,全柬在赌场办公的所有BC盘,哪怕赌场持有牌照的也必须禁止线上运营了 简单来说:不只是电炸了,连体育盘都要停 关注大事件频道➡️ @dashijian 投稿:@daka

5 Sept 2026, 12:25 UTC449 viewsread 5 September 2026
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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

5 Sept 2026, 12:15 UTC467 viewsread 5 September 2026
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#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.

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.