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Channel

东南亚大事件

@dashijian19

2 usernames

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

35,709subscribers

-7,916 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-1002441900896
TypeChannel
Usernames@dashijian19 @qqdashijian
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held127
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/dashijian19

Topic

International 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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 11 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@chiguayp/183928 Aug 2026, 14:46 UTC@dashijian19/46224 · this entry8 Aug 2026, 14:46 UTC1.00under a minute
@dashijian19/47089 · this entry18 Aug 2026, 14:19 UTC@chiguayp/1925718 Aug 2026, 14:19 UTC1.00under a minute
@chiguayp/1934619 Aug 2026, 13:49 UTC@dashijian19/47179 · this entry19 Aug 2026, 13:49 UTC1.00under a minute
@chiguayp/1942920 Aug 2026, 14:49 UTC@dashijian19/47261 · this entry20 Aug 2026, 14:49 UTC1.00under a minute
@chiguayp/1966223 Aug 2026, 14:05 UTC@dashijian19/47494 · this entry23 Aug 2026, 14:05 UTC1.00under a minute
@dashijian19/48285 · this entry2 Sept 2026, 13:37 UTC@chiguayp/204532 Sept 2026, 13:37 UTC1.00under a minute
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
@chiguayp322 (8/8 hand-verifiable sample passed)1.00under a minute@chiguayp (321–1)
@nrxxe242 (8/8 hand-verifiable sample passed)1.00under a minute@nrxxe (237–5)
@dashijianh22 (8/8 hand-verifiable sample passed)0.88under a minutethis entry (21–1)
@dashijianx10 (8/8 hand-verifiable sample passed)0.91under a minuteeven
@sgk_ksd9 (7/8 hand-verifiable sample passed)0.827 minutes@sgk_ksd (8–1)
@z16889 (8/8 hand-verifiable sample passed)0.8311 minutesthis entry (6–3)
@t777775 (5/5 hand-verifiable sample passed)0.837 minutes@t77777 (5–0)
@cctv25 (5/5 hand-verifiable sample passed)0.8836 hoursthis entry (5–0)
@SB9195 (5/5 hand-verifiable sample passed)0.882.0 hoursthis entry (5–0)
@ct6665 (5/5 hand-verifiable sample passed)0.926 minutesthis entry (3–2)
@yc00005 (5/5 hand-verifiable sample passed)0.8910 hoursthis 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. 582 of the 582 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 1,527 comparable posts for this entry, running 7 August 2026 to 11 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).

Of the group of 3 channels, the one whose matching posts we hold earliest is @dashijian19 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 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.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

35,70943,62539,6677 August 202612 November 2026
127 measurements spanning 97 days, net -7,916. 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 34,522–44,812 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 127
Measured (UTC)SubscribersChange
12 Nov 2026, 17:0635,709-49
11 Nov 2026, 12:0835,758-27
10 Nov 2026, 13:5735,785-48
9 Nov 2026, 14:0035,833-29
9 Nov 2026, 00:4635,862-76
8 Nov 2026, 05:5735,938-26
7 Nov 2026, 20:0835,964-53
6 Nov 2026, 23:3936,017no change
6 Nov 2026, 17:0536,017-36
6 Nov 2026, 02:5536,053-39
5 Nov 2026, 13:5636,092-14
5 Nov 2026, 00:3636,106-25
4 Nov 2026, 14:1636,131-34
4 Nov 2026, 00:2836,165-34
3 Nov 2026, 14:4736,199-47
3 Nov 2026, 02:0736,246-52
2 Nov 2026, 12:0036,298-17
2 Nov 2026, 00:0036,315-33
1 Nov 2026, 10:5836,348-66
1 Nov 2026, 00:4036,414first reading

Engagement

1,979 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.345%
avg views ÷ 35,709 subscribers
Avg views / post
123
567 posts measured
Reaction rate
0.362%
reactions ÷ views · ER floor
Posts in window
570
of 1,979 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 1 of 567 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 held1,979 (7 August 2026 – 12 November 2026)
Views total69,948
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:09 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

Video runtime
3h 33m
Average length
46s

Measured directly from 276 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 1 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 1 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 23 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 570 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, 15:06 UTC1 viewsread 12 November 2026
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#群友投稿:靠谁不如靠自己 在东南亚摸爬滚打这么多年,见过形形色色的人和事,这片鱼龙混杂的地方,早就教会我一个道理:靠谁,都不如靠自己。 冷,不靠灯;穷,不靠亲。 钱,自己挣;苦,自己吃。 情,自己惜;人,自己爱。 事,自己扛;梦,自己圆。 伤,自己养;家,自己撑。 路,自己走。 这里诱惑多、变数更大,人心难测,风光时围着你的人不少,一旦落难,能伸手的寥寥无几。 别指望别人一直托着你,靠山山会倒,靠人人会跑。脸是靠自己挣的,不是靠别人给的。 风雨只能自己挡,难关只能自己渡,脚下的路,终究要一步一步,靠自己走下去。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 14:21 UTC2 viewsread 12 November 2026
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#网友投稿:如今的西港,大部分地方早已变得冷清,街道昏暗,曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去,许多地方都是黑漆漆的一片,唯独越南街,依旧灯火通明。一座城市的变化,有时候不需要太多言语,只要夜幕降临,走上街头,便能感受到时代变迁留下的痕迹。 西港还是那个西港,只是亮着灯的地方,越来越少了。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 14:06 UTC2 viewsread 12 November 2026
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柬埔寨驱逐43名印尼籍人员出境,涉及非法居留及非法务工 11月11日,柬埔寨执法部门对43名印度尼西亚籍人员实施驱逐出境,其中包括8名女性。据柬埔寨方面通报,这43人因涉嫌违反柬埔寨移民及劳工相关规定,涉及非法居留、非法务工等问题,最终被当局依法遣返回国。 此次遣返行动通过德崇国际机场出入境警察检查站执行,相关人员已于11月11日被驱逐出境。 此次行动再次反映出柬埔寨有关部门持续加强对外国人居留及就业情况的管理,提醒在柬外国公民务必遵守当地法律法规,确保持有合法居留及工作许可,避免因违规而受到处罚或被遣返回国。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 13:51 UTC2 viewsread 12 November 2026
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#马来西亚资讯:喜鹊行动!大马警方瓦解112诈骗集团、逮捕932人 大马警方在上月19日至31日,开展为期12天的全国反诈骗“喜鹊行动(Magpie)”,成功瓦解112个诈骗呼叫中心犯罪集团,累计逮捕932名本地及外籍嫌犯。 全国警察商业罪案调查总监拿督鲁斯蒂表示,本次行动原定100次取缔任务,最终超额完成153次突击,搜查公寓、酒店、店屋、办公楼等共计650个场所。 被捕的932人中,外籍人士826人(796男136女)、本地民众106人。外籍嫌犯中以中国人538人居首,其次为越南93人、台湾40人、印尼36人。年龄分布方面,16至45岁青壮年为诈骗主力,其中26至35岁人数最多,达486人。 此次查获的诈骗集团组织严密、分工完整,932名嫌犯各司其职,其中809人为一线客服、诈骗操作员,是核心作案人员,其余为组长、主管及后勤人员,保障诈骗中心全天候运作。 警方在行动中起获大量作案工具,包含200余部手机、433台笔…

12 Nov 2026, 13:36 UTC33 viewsread 12 November 2026
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#网友投稿:最近越南、马来会有大量的警力进行为期约一周的检查,且将常态化开展工作,请各位多多注意! 目前接到的消息,越南海关即将进行系统升级,新系统会新增多项前沿技术,有效精准识别护照信息,防空技术将有质的飞跃;并且接入国际刑警组织银色通缉令数据,实现毫秒级反馈。 据了解,越南海关、马来海关接收了一批来自中国方面的通缉名单,均已下放至机场口岸、陆路口岸。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 13:21 UTC113 viewsread 12 November 2026
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#越南资讯:广宁省捣毁跨国电诈窝点,12名外国人被查,涉韩中两国籍人员 11月12日,越南广宁省传出一起跨国电信诈骗案件。当地警方在下龙市白斋坊(Bãi Cháy)调查并查获一个涉嫌冒充韩国警方及政府部门工作人员实施诈骗的团伙,共涉及12名外国人,其中包括10名韩国籍人员和2名中国籍人员。 据越南媒体《VnExpress》报道,这伙外国人涉嫌租用当地公寓作为诈骗窝点,通过电话及网络联系韩国民众,冒充韩国警方、检察机关及金融机构工作人员,利用虚构案件、执法调查等理由骗取受害者的个人资料及资金。 警方调查发现,该团伙具有一定组织分工,涉嫌专门针对韩国民众开展诈骗活动,并利用电话通讯及网络渠道实施跨境犯罪。 值得关注的是,在此次涉及的12名外国人中,有4人被指涉及国际通缉令,另有6人受到韩国方面通缉,相关人员身份及涉案情况仍有待进一步核实。 目前,越南警方正在对涉案人员进行调查,并检查现场查获的手机、电脑及其他电子设备,同时…

12 Nov 2026, 12:51 UTC114 viewsread 12 November 2026
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#印尼资讯:巴厘岛突袭虚假投资诈骗窝点,28名外国人被捕,涉及3个国家,全部面临遣返 11月12日报道,印尼巴厘岛移民执法部门近日展开联合执法行动,突袭一处涉嫌从事虚假投资活动的窝点,共有28名外国人被执法人员带走调查,涉及喀麦隆、土库曼斯坦和格鲁吉亚3个国家。 经初步调查,28名涉案人员分工明确:其中24名喀麦隆籍人员负责日常运营及客服工作,3名土库曼斯坦籍人员负责安保,另有1名格鲁吉亚籍人员担任管理者。 执法部门怀疑,该地点涉嫌开展虚假投资相关活动,目前正进一步调查其具体运营模式及涉案情况。 行动结束后,28名外国人被移送至努拉莱移民拘留场所接受进一步调查。印尼移民部门表示,相关人员将面临移民行政处罚,并计划依法实施遣返。 此次行动再次反映出印尼当局对外国人涉嫌非法经营、网络诈骗及违反移民规定等行为的持续打击力度。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 12:51 UTC117 viewsread 12 November 2026
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#致东南亚扶手 踏入缅甸就是狼入虎口 近期妹子被绑架的帖子比较频繁 ,今天有个知情网友说了一个惊天内幕。 缅甸某些黑园区已经把绑架扶手做成了产业,他们会专门在东南亚发布泰国包养女孩子骗到园区绑架勒索强奸轮奸。 他们会去各大包养群发布重金包养信息,引诱去缅甸地区接单,诱骗过去再对其进行 勒索, 轮奸,赔付等,该园区作案已数起,近期也有不少国内的妹子中招。([36岁女子赴泰旅游,被骗缅甸电诈园区](https:// 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 12:36 UTC159 viewsread 12 November 2026
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#网友投稿:有时候我会想,自己是从什么时候开始对键盘产生这种奇妙的依赖感的。 刚进公司的时候,对键盘其实是陌生的,敲字只是工作的一部分,是完成任务的工具。 可这几年下来,我在一段段和客户的对话中,一次次敲击键盘,慢慢地开始感受到那种节奏与表达带来的微妙变化。 每一个字从指尖落下,都像是有温度的、有情绪的,不再只是冷冰冰的符号,而是承载着沟通、理解,甚至一点点情感的延伸。 渐渐地,我发现自己开始享受这种感觉,甚至不再满足于普通的办公键盘,会去在意手感、声音、反馈。当我坐在工位上,没有客户聊天的时候,手指竟会不自觉地发痒,仿佛在等待下一次敲击的开始。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 12:21 UTC3 viewsread 12 November 2026
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#吃个瓜:一位西港的鸡头反映,昨晚有个妹子被外送客人拍下来口交性爱视频,威胁退嫖资,真是绝了,经济不景气,连嫖娼都嫖不起了吗? 妹子身材颜值在线,服务也不错,让你爽完了还不舍得出点服务费补偿,真不知道是哪路大神的杰作,连点道义都没有了。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

12 Nov 2026, 11:51 UTC2 viewsread 12 November 2026
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#群友爆料:中国资金盘APP:大国崛起 三方聊天APP:协同互联,主管:香蕉(又名候天来)总监:阿杰(又名杰少) 原公司地址:柬埔寨西港海悦大酒店801办公室。后因被曝光,不得已搬迁至格鲁吉亚巴统市。 答应员工保证办理工作签证!员工跟随公司入境格鲁吉亚后,却告知员工护照要逾期黑着。辛辛苦苦跟随公司半年,最后不得已被迫离职,还被拉赔付1300美金。前期曝光了一些聊天记录,后续公司补发我7000美金工资,提成我都没要!我做到仁至义尽! 原本以为出来东南亚都是为了求财,大家都不容易,好聚好散!我原本不想撕破脸皮,拽上无辜的同事!只是香蕉,我没想到你做人做事太不讲究! 事情处理结束后,拿曝料我的信息资料到处抹黑我,整个办公室的人都有我个人资料!说我敲诈公司7万美金!满嘴跑火车,侮辱我,说我是代理,是公司骨干,说我倒卖人口去黑园区!给我家里人寄茶叶,找人实名举报我,用这些下三滥的手段来威胁我! 不做亏心事,不怕鬼敲门! 上图…

11 Nov 2026, 17:36 UTC7 viewsread 12 November 2026
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#群友反馈:🇰🇭西港南海后门海之港酒店被围了,据说是有人打野,来了20多个宪兵把酒店封了。 当前: 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

Showing the 12 most recent of 1,979 posts we hold for @dashijian19. 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 5 posts on @dashijian19 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
8 August 2026
Most recent seen missing
11 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

Mentions

Named by 5 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件” (@dashijian19), 35,709 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/dashijian19.

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.