Channel
@dashijianx
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
203,242subscribers
-24,330 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001887655999 |
|---|---|
| Type | Channel |
| Usernames | @dashijianx @tx939 @y9n99 |
| Description | 东南亚大事件 永久id： @PL666 欢迎加入东南亚大事件 天下社区：华人求助贴 永久免费 全网覆盖 广告招商/商务合作： @yoozb 天下联盟导航： @Txtot |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 187 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/dashijianx |
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 81% 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.
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.
Posts published here appear in near-verbatim form on 4 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @dashijianx/32269 · this entry20 Aug 2026, 15:19 UTC | @dashijianh/2460421 Aug 2026, 04:19 UTC | 1.00 | 13 hours |
| @dashijianh/2485026 Aug 2026, 14:03 UTC | @dashijianx/32886 · this entry26 Aug 2026, 14:03 UTC | 1.00 | under a minute |
| @dashijianh/257597 Sept 2026, 11:51 UTC | @dashijianx/33995 · this entry7 Sept 2026, 11:51 UTC | 1.00 | under a minute |
| @dashijianh/2685120 Sept 2026, 13:00 UTC | @dashijianx/35246 · this entry20 Sept 2026, 13:00 UTC | 1.00 | under a minute |
| @dashijianh/2726225 Sept 2026, 14:31 UTC | @dashijianx/35669 · this entry25 Sept 2026, 14:31 UTC | 1.00 | under a minute |
| @dashijianh/2748428 Sept 2026, 13:32 UTC | @dashijianx/35900 · this entry28 Sept 2026, 13:32 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @dashijianh | 353 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (238–115) |
| @dashijian19 | 10 (8/8 hand-verifiable sample passed) | 0.91 | under a minute | even |
| @chiguayp | 7 (7/7 hand-verifiable sample passed) | 0.90 | under a minute | @chiguayp (6–1) |
| @nrxxe | 6 (6/6 hand-verifiable sample passed) | 0.91 | under a minute | @nrxxe (5–1) |
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. 131 of the 131 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 1,138 comparable posts for this entry, running 7 August 2026 to 8 October 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.
Of the group of 2 channels, the one whose matching posts we hold earliest is @dashijianh. 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.
This channel is in a group of 2 registered channels linked by matching posts. 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 09:21 | 203,242 | -223 |
| 11 Nov 2026, 16:40 | 203,465 | -313 |
| 10 Nov 2026, 19:31 | 203,778 | -95 |
| 10 Nov 2026, 09:48 | 203,873 | -166 |
| 9 Nov 2026, 22:21 | 204,039 | -239 |
| 9 Nov 2026, 08:54 | 204,278 | -206 |
| 8 Nov 2026, 20:28 | 204,484 | -228 |
| 8 Nov 2026, 15:11 | 204,712 | -547 |
| 8 Nov 2026, 02:31 | 205,259 | -104 |
| 7 Nov 2026, 12:26 | 205,363 | -63 |
| 7 Nov 2026, 08:50 | 205,426 | -332 |
| 6 Nov 2026, 22:38 | 205,758 | -188 |
| 6 Nov 2026, 09:47 | 205,946 | -9 |
| 6 Nov 2026, 09:06 | 205,955 | -205 |
| 5 Nov 2026, 20:57 | 206,160 | -263 |
| 5 Nov 2026, 09:25 | 206,423 | -13 |
| 5 Nov 2026, 07:37 | 206,436 | -197 |
| 4 Nov 2026, 19:59 | 206,633 | -146 |
| 4 Nov 2026, 09:35 | 206,779 | -35 |
| 4 Nov 2026, 05:29 | 206,814 | first reading |
1,537 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 1,537 posts for this entry, the most recent from 8 October 2026. An engagement rate over an empty window would be a number about nothing.
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.
Measured directly from 260 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.
152,831 reactions across 846 posts, in 13 distinct kinds. The most used accounts for 15.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 23,477 | 15.4% | |
| ❤ | 23,345 | 15.3% | |
| 👍 | 23,301 | 15.2% | |
| 🎉 | 23,202 | 15.2% | |
| 😁 | 19,094 | 12.5% | |
| 🤩 | 15,630 | 10.2% | |
| 🥰 | 10,069 | 6.59% | |
| 👏 | 7,878 | 5.15% | |
| ❤🔥 | 2,277 | 1.49% | |
| 💯 | 2,262 | 1.48% | |
| 😍 | 2,253 | 1.47% | |
| ⚡ | 41 | 0.027% | |
| 🤔 | 2 | 0.001% |
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 849 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 152,831 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 28 August 2026 to 8 October 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.
#群友投稿：开云投诉部，24H-反馈中心1（全程不处理事情，帮部门说话，这种叫什么投诉中心，开云推广部的狗更好听）。 上面提到我在开云集团中心3/9部（部长大龙猫）的遭遇，同事告诉我可以找投诉部门反馈问题。我本想着投诉部门是公开公正的，结果就是以一种“正式口吻”把部门的事重新叙述了一遍。 投诉部门不作为，联合推广部门一起欺压基层员工，推广部欺负业务，投诉部投诉无门，是不是两个部门联合在一起私下有什么交易，导致现在根本不做事，也不处理事。 8.20-通过飞机联系到开云人事。 8.28-自费机票+曝光落地泰国曼谷（后续吃住全程自费）。 9.1-中心3/8部（部长大龙猫）收走我护照（承诺先自费后报销，结果是后跑路）。 9.20-部长通知组长李大胆携带全体组员跑路。 9.25-部长通知与跑路组长“交易达成”，护照拿回。 9.26-部长安排我进入另一个小组（后因与同事交流得知部门组长有跑路习惯，提出离职）。 10.4-提…
缅甸妙瓦底疑现新诈骗园区：Sone See Myaing快速扩张，靠近DKBA基地 近日，缅甸克伦邦妙瓦底地区一处名为“松西妙英”（Sone See Myaing）的区域受到关注，有消息称，该地可能正在成为网络诈骗团伙新的活动据点。 据相关资料显示，Sone See Myaing位于妙瓦底一带，靠近民主克伦佛教军（DKBA）相关区域。最新卫星图像显示，当地正在进行大规模开发，多个建筑区域成片分布，道路已经铺设完成，部分区域仍处于建设状态，整体呈现出快速扩张的迹象。 值得注意的是，目前通过Google Maps和Apple Maps等常规地图平台，仍较难明确定位这一地点，因此外界对该区域的实际发展情况了解相对有限。 这一情况与《伊洛瓦底报》（The Irrawaddy）2026年9月17日此前报道的情况相吻合。报道称，Sone See Myaing正在逐渐成为一个以中国人为主要成员的网络诈骗团伙新中心，部分人员正从其他诈骗…
#网友投稿：西港星汇物业刚刚发通知说要自查一遍 其实查一遍是好事，把打野的全部清出去，省的像Uk公寓一样抓到10几个打野的，把剩下的近200人合法居住的也抓进去了，目前还不知道uk后续怎么处理！ 关注新闻大事件👉 @Tx939 投稿👉 @yoozb
#柬埔寨资讯：特本克蒙省突查出租屋发现9名外国人涉嫌网络诈骗 特本克蒙省一名副县长瓦恩·索坤（លោក វ៉ាន់ សុខន）参加了由特本克蒙省跨部门联合工作组开展的行政检查行动。 此次行动由特本克蒙省初级法院检察院副检察官凯奥·博代（លោក កែវ ភក្ដី）负责协调，工作组对特拉邦普隆乡（Trapeang Phlong）的2处地点，包括旅馆和出租屋进行了突击行政检查。 检查期间，执法人员在其中1处出租屋内发现9名外国人，据称正在利用网络技术从事诈骗活动。 现场人员已被依法扣留，同时查扣相关物证，并移交至特本克蒙省警察局，以便按照法律程序进一步处理。 关注新闻大事件👉 @Tx939 投稿👉 @yoozb
#网友反馈：西港日月星酒店后面，大概10个警察，N1旁边有检查护照，在那边的注意了。 关注新闻大事件👉 @Tx939 投稿👉 @yoozb
#菲律宾新闻 菲律宾最大规模POGO突袭：6名中国主管被捕，50多人抵达NBI 10月2日，菲律宾国家调查局联合移民局等部门，在三宝颜锡布格省阿利西亚和西亚伊两地突袭两处涉嫌从事恋爱诈骗及虚假投资诈骗的窝点。 行动中，执法人员抓获6名中国籍人员。国家调查局称，他们涉嫌担任诈骗团伙的人口贩运人员、组长或管理人员；另有3名菲律宾人因涉嫌非法持枪被捕。警方目前还在追捕2名被指为幕后负责人的中国籍人员。 菲律宾移民局初步统计，两处窝点共发现255名外国人，其中阿利西亚129人、西亚伊126人。在阿利西亚窝点，52名外国人和1名菲律宾女子被初步认定可能是人口贩运受害者，并已接受评估和救助。 调查显示，部分人员此前以为自己是来菲律宾从事合法工作，抵达后却被迫参与网络诈骗。据称有人护照被扣押、工资无法领取，并遭到威胁或虐待，#每天被迫工作超过16小时。 执法人员现场还查获大量电脑、手机等设备。6名中国籍嫌疑人及其他涉案人员已接受检察…
#群友投稿：关于27天工资迟迟未结算的情况说明 本人及另一名同事曾在马来西亚吉隆坡马鲁夫巷一带一家从事韩国商城项目的公司工作，实际工作27天。 在离开公司之前，我们曾主动询问过工资结算问题。当时我们向代理人员“阿城”询问，阿城明确告知我们有底薪，需要上报公司，之后由公司财务进行核算。 正因为当时已经得到这样的答复，我们才正常离开，并没有继续纠缠工资问题。 但是离开之后，当我们再次联系询问工资结算情况时，却出现了互相推诿的情况：阿城让我们找“小白”，小白又让我们重新找阿城。 所以，我们现在只是想问清楚一个最基本的问题：我们实际工作27天的工资，到底由谁负责结算？什么时候能够结算？ 我们并不是要求公司额外支付什么，也不是故意找麻烦，只是希望拿到自己实际工作27天应得的工资。 我们的诉求很简单：明确告知我们27天工资的具体金额；明确告知什么时候可以结算；给出一个具体的处理时间；不要再让我们在不同负责人之间来回沟通、互相推…
#群友反馈：亚太又在炸楼了 关注新闻大事件👉 @Tx939 投稿👉 @yoozb
#群友投稿：西港陈董事长，听说你是湖南人。我是小海。 10月3日西港中国城发生的事情，相信你应该有所了解。事情发展到今天，受到牵连的人不少。背后究竟是什么情况，谁应该出来承担责任，相信有些人心里比谁都清楚。 有些事情，不是人走了、群散了、消息不回了，就可以当作什么都没发生。 当初大家是出于信任才走到一起，如今出了问题，总要有人站出来给个说法。涉及这么多人的利益和损失，不可能就这样不了了之。 陈董事长，我不想把事情说得太透，也不想在这里讲太多细节。相关情况、照片和资料，我这边都会妥善保留，目前暂时不公开。 我愿意再给你两天时间，希望你主动出面，正面回应问题，拿出实际解决方案。 但有一点我必须说明：如果两天之内仍然没有任何实质性回应和处理进展，我会正式联系国内立案调查。 到时候事情该怎么调查、涉及哪些人、谁应该承担什么责任，就交由法律和有关部门依法处理。 我不想把事情闹大，但也不会让我们这么多人的损失和遭遇就这么不了…
东南亚大事件 🅥 pinned a photo
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《缅北电诈覆灭纪实》第三集《共筑天网》播出：跨境反诈持续升级，国际“天网”加速织密 10月7日，三集纪录片《缅北电诈覆灭纪实》第三集《共筑天网》播出。该片由公安部与中央广播电视总台联合摄制，第三集重点聚焦跨境反诈纵深治理新格局。 纪录片从中缅木姐联合行动展开，进一步呈现中缅泰三国联动清剿缅甸妙瓦底地区诈骗窝点的行动过程。随着跨境执法合作不断深入，曾经盘踞境外、依靠地域和武装力量逃避打击的电诈犯罪集团，持续受到挤压。 据介绍，2025年初，中缅泰建立联合打击电信网络诈骗犯罪部级协调机制，对妙瓦底地区电诈犯罪开展集中清剿，并先后开展多次联合遣返行动。相关行动持续推进后，妙瓦底KK园区大量建筑被拆除。 第三集还将视角从缅北延伸至全球。面对电信网络诈骗跨境化、产业化的发展趋势，中国政府发起成立国际打击电信网络诈骗联盟，已有46个国家参与，通过加强信息共享、联合执法和国际协作，进一步织密跨境反诈“天网”。 从缅北“四大家族”覆…
❤🔥19💯16🔥13🥰13😍13🤩12🎉10❤9
Showing the 12 most recent of 1,537 posts we hold for @dashijianx. 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.
@dashijianx edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 1 post on @dashijianx 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.
Named by 12 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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🅥” (@dashijianx), 203,242 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/dashijianx.
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.