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Channel

东南亚大事件

@DSJP66

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

92,232subscribers

-12,377 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-1001139028838
TypeChannel
Usernames@a89i8 @DSJP66
Description#投稿 #曝光 #反馈 #求助 #新闻 #头条 #时讯 #案例 🔥商务合作: @gucangsheng 吃瓜娱乐:t.me/CGP55 开金交流: t.me/vip99d9d 精选素材:t.me/facai168888888nb 本频道只负责相关发布信息,真假自行甄别。 本频道覆盖区域 #东南亚 #柬埔寨 #泰国 #菲律宾 #马来西亚 #越南 #特区 #迪拜 #缅甸 #斯里兰卡 #老挝 #华人圈
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held125
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/DSJP66

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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 3 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
@iiiik/3966922 Oct 2026, 10:13 UTC@DSJP66/49182 · this entry22 Oct 2026, 11:41 UTC1.0087 minutes
@iiiik/3968222 Oct 2026, 14:14 UTC@DSJP66/49194 · this entry22 Oct 2026, 14:18 UTC1.004 minutes
@iiiik/3969323 Oct 2026, 09:30 UTC@DSJP66/49202 · this entry23 Oct 2026, 09:32 UTC1.002 minutes
@iiiik/3970823 Oct 2026, 14:12 UTC@DSJP66/49212 · this entry23 Oct 2026, 14:14 UTC1.002 minutes
@iiiik/3971223 Oct 2026, 15:01 UTC@DSJP66/49217 · this entry23 Oct 2026, 15:04 UTC1.004 minutes
@iiiik/3986129 Oct 2026, 14:04 UTC@DSJP66/49332 · this entry29 Oct 2026, 14:08 UTC0.974 minutes
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
@iiiik24 (8/8 hand-verifiable sample passed)0.982 minutes@iiiik (24–0)
@QZZPP6610 (8/8 hand-verifiable sample passed)1.002.0 hoursthis entry (6–4)
@cbl1237896 (6/6 hand-verifiable sample passed)1.0022 hourseven

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. 31 of the 31 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 1,673 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 @QZZPP66. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, 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

92,232105,67698,9547 August 202611 November 2026
125 measurements spanning 96 days, net -12,377. 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 90,215–107,693 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 125
Measured (UTC)SubscribersChange
11 Nov 2026, 15:3892,232-83
11 Nov 2026, 10:2192,315-262
9 Nov 2026, 19:4092,577no change
9 Nov 2026, 17:1992,577-334
8 Nov 2026, 12:4592,911-1
8 Nov 2026, 12:1892,912-364
7 Nov 2026, 08:0793,276no change
7 Nov 2026, 07:4993,276-252
6 Nov 2026, 06:1093,528no change
6 Nov 2026, 05:2693,528-138
5 Nov 2026, 05:2793,666no change
5 Nov 2026, 02:1693,666-131
4 Nov 2026, 07:2993,797-102
3 Nov 2026, 22:2893,899-171
3 Nov 2026, 09:3694,070-319
2 Nov 2026, 20:2094,389-33
2 Nov 2026, 12:2694,422-104
1 Nov 2026, 18:5994,526-169
1 Nov 2026, 09:2194,695-220
31 Oct 2026, 16:1694,915first reading

Engagement

1,783 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.551%
avg views ÷ 92,232 subscribers
Avg views / post
508
276 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
276
of 1,783 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 12 of 276 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 11 November 2026
Posts held1,783 (7 August 2026 – 11 November 2026)
Views total140,254
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 05:14 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
≈35,500
Videos
≈6,300
Links
≈12,900

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.

Video runtime
3h 16m
Average length
1m 00s

Measured directly from 195 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

11,572 reactions across 613 posts, in 12 distinct kinds. The most used accounts for 14.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,72714.9%
👍1,72214.9%
🎉1,66014.3%
🔥1,64314.2%
🤩1,64314.2%
👏1,58213.7%
🥰1,57513.6%
😢90.078%
👎40.035%
😍40.035%
🤔20.017%
🤣10.009%

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 618 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 11,572 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 13 September 2026 to 11 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: 11 of 276 posts held from the last 30 days (3.99%) 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).

11 Nov 2026, 16:04 UTC≈1,140 viewsread 12 November 2026
Photo

#马来西亚资讯:吉打移民局突袭建筑工地,30名外籍人员被捕,涉及孟加拉、缅甸及印尼籍 11月10日上午,马来西亚吉打州移民局展开名为 Ops Sapu 的执法行动,突袭位于双溪大年 Bandar Amanjaya 的一处建筑工地,对现场49名外籍及本地人员进行身份检查。 行动中,执法人员共扣留30名涉嫌违反移民法令的外籍人员,其中包括17名孟加拉国籍、12名缅甸籍及1名印尼籍人员。据悉,被扣留人员包括27名男性及3名女性,年龄介于20岁至50岁之间。 行动结束后,30名被捕人员被送往 Belantik 移民拘留中心,以接受进一步调查及处理。有关部门将继续调查涉案人员是否涉及违反马来西亚移民法令。 此次行动再次体现马来西亚移民执法部门持续加强对外籍劳工及非法居留人员的检查力度。 免费投稿:@gucangsheng

11 Nov 2026, 15:06 UTC≈1,070 viewsread 12 November 2026
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安徽36岁女子赴泰旅游后失联,疑被骗至缅甸电诈园区,50万元被转走,家属遭索要13万元赎金 近日,安徽一名36岁女子赴泰国旅游后失联一事引发关注。据媒体此前报道,当事人杨苗于7月30日赴泰国,随后与家人失去联系。家属多方寻找后得知,她疑似被诱骗至缅甸妙瓦底一处电信网络诈骗园区。 据家属反映,杨苗被控制期间,其银行账户内约50万元人民币遭强行转走。此后,相关人员还向家属索要赎金,最初开价35万元,之后多次降低金额,最终降至13万元。 报道称,阜南县公安局已于9月7日对此事立案调查。事件曝光后,引发社会对境外旅游安全及人口诱骗问题的关注。 警方及相关部门提醒: 境外旅游、求职务必提高警惕,不要轻信熟人邀约、免费出行及高薪工作等诱惑。出境前应将行程、住宿及同行人员信息告知家属,保持通讯畅通。一旦发现境外失联、疑似被非法控制或遭索要赎金,应立即向国内警方及中国驻当地使领馆寻求帮助。 免费投稿:@gucangsheng

11 Nov 2026, 14:01 UTC959 viewsread 12 November 2026
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中柬执法合作协调小组中方官员与柬埔寨警方会面,推动涉中国人命案侦破 昨晚,柬埔寨国家警察总署技术与科学警察局局长迪本纳少将及联合工作组成员在内政部会见了中国驻柬埔寨大使馆中柬执法合作协调办公室负责人。 此次会晤旨在加强双方在涉中国公民遇害案件上的调查取证与情报信息交流,进一步深化中柬执法合作。 免费投稿:@gucangsheng

11 Nov 2026, 12:05 UTC906 viewsread 12 November 2026
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#马来西亚资讯:马六甲突袭网络诈骗呼叫中心,11名泰国籍人员被捕 11月11日,据马来西亚媒体报道,马六甲警方于11月9日晚上10时10分左右,在马六甲州 Taman Kota Shahbandar 展开突击行动,捣毁一处涉嫌从事网络诈骗活动的呼叫中心,现场逮捕11名泰国籍人员。被捕人员包括4名男子和7名女子,年龄介于18岁至36岁之间。 警方初步调查发现,该诈骗团伙自2026年10月初开始运作,涉嫌冒充执法机构工作人员,主要以泰国民众为诈骗目标,通过电话实施诈骗。 行动期间,警方查获11台笔记本电脑、11部手机以及1台网络路由器,估计总值约2万令吉。 警方表示,初步调查显示,被捕人员参与期间尚未领取工资。此前有关该团伙提供每月2500至6000令吉薪资及佣金的说法,属于警方调查中涉及的薪酬信息。 目前,11名嫌疑人已被延扣4天,以协助警方调查。案件援引马来西亚《刑事法典》第420条(诈骗)及第120B条(刑事串…

11 Nov 2026, 11:03 UTC722 viewsread 12 November 2026
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汇旺莫非还有希望恢复? 11月11日,据网友爆料,金边中国大使馆对面出现汇旺相关维权人员,现场还有柬埔寨警察拍照记录情况。 爆料者称,自己当天前往中国大使馆办事时,看到有人在使馆对面维权,汇旺莫非还有希望恢复? 免费投稿:@gucangsheng

11 Nov 2026, 10:01 UTC706 viewsread 12 November 2026
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#马来西亚资讯:警方销毁7445件涉案证物!总价值逾119万令吉,186台比特币矿机遭压毁 马来西亚雪兰莪州警方于11月11日在梳邦再也警区总部举行涉案证物销毁行动,共销毁7445件涉案物品,涉及210宗案件,总价值达119万1901令吉。 此次行动由雪州总警长拿督沙兹里主持。被销毁的证物来自2021年至2026年期间警方侦办的案件,涉及非法赌博、网络赌博、非法娱乐场所、比特币挖矿、走私烟酒、电缆盗窃及其他刑事犯罪。 根据警方公布的数据,210宗案件包括56宗非法赌博案、42宗非法娱乐场所案、11宗比特币挖矿案、22宗走私烟酒案、7宗网络赌博案、7宗电缆盗窃案,以及65宗其他刑事案件。 此次销毁的证物包括145部手机、332台电脑及相关设备、186台比特币矿机、36捆失窃电缆、3374瓶烈酒、1500罐酒类饮料、822箱香烟、21件娱乐场所相关物品,以及1029件其他刑事证物。 警方表示,此次行动已获得莎阿南推…

11 Nov 2026, 09:12 UTC711 viewsread 12 November 2026
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#马来西亚资讯:霹雳州警方查获48台比特币矿机,疑涉非法接电挖矿 11月10日,马来西亚霹雳州警方联合国家能源公司(TNB)工作人员,在霹雳州 Seri Iskandar 一处住宅展开突击行动,现场查获48台比特币挖矿设备,怀疑有人通过非法连接电线的方式盗用电力进行加密货币挖矿。 据警方消息,执法人员在行动中还查获2台 Fast Ethernet 交换机、1台互联网路由器及1卷被剪断的电缆等物品。警方初步怀疑,该住宅被用于非法加密货币挖矿活动,相关人员涉嫌未经许可连接电力线路,逃避正常电费支出。 目前,警方已针对案件展开进一步调查,并将依据《刑事法典》第427条及《1990年电力供应法》第31(1)条追查相关责任人。 免费投稿:@gucangsheng

10 Nov 2026, 16:09 UTC≈1,140 viewsread 12 November 2026
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#网友投稿 #柬埔寨 #东南亚盘总 抖音粉丝投稿,电信诈骗幕后金主特大头目。 东南亚地区电信网络诈骗组织头目,福建漳浦籍特大盘总胡世荣此人,胡世荣早期前往老挝金三角、缅甸北部、柬埔寨等地区开设,辗转数地开设盘口,之后转移缅甸东部妙瓦底地区开设盘口,投资建设电信诈骗园区。 园区巅峰时期关押数千名电诈人员,手上沾有几桩命案,目前长期盘踞泰国等地区,线上遥控指挥园区运营。 免费投稿:@gucangsheng

10 Nov 2026, 14:06 UTC≈1,020 viewsread 12 November 2026
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柬埔寨西港部分大型建筑停工、拆除,昔日繁华景象逐渐褪去。 近日,西哈努克城部分大型建筑已停止施工,部分建筑陆续被拆除。至于这些建筑后续将如何规划、是否会有新的项目进驻,目前尚不清楚。 曾经热闹的西港,如今不少区域显得格外冷清,大型建筑施工相继停摆,城市也逐渐恢复了往日难得的寂静。据悉,照片拍摄于西哈努克城 Chhneo Cheu Teal 路段。 西港的变化,或许只有亲眼见证过这里曾经繁华的人,才能真正感受到。 免费投稿:@gucangsheng

10 Nov 2026, 12:49 UTC921 viewsread 12 November 2026
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缅甸克伦邦泰缅边境电诈园区持续扩张,军方被指放任不管 11月10日,据克伦邦军事消息人士透露,在DKBA、KNA及BGF控制的地区,多个新的网络诈骗(电诈)园区仍在持续建设和扩张,泰缅边境沿线已出现大量新建园区。 KNA目前已新建约8处电诈窝点,DKBA也在帕鲁、焦克赫及妙瓦底周边地区扩建园区,部分新建场所已有数千名外国人进驻工作。 DKBA、KNA和BGF控制的电诈园区之间联系密切,在人员转移、燃油供应及食品和日用品采购等方面相互协作,以应对军方的军事行动和检查。 消息人士指责,缅甸军方虽然知晓当地电诈园区不断扩建,却未采取有效打击措施,反而主要向相关武装组织施压,要求其不得与KNU、KNLA及PDF等革命力量合作或提供军事援助。 与过去集中建设在KK Park和亚太新城等大型园区的模式不同,如今克伦邦电诈产业正向多个地区分散扩张,并与赌场、KTV及卖淫等非法产业相互结合。 免费投稿:@gucangsheng

10 Nov 2026, 11:48 UTC759 viewsread 12 November 2026
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#马来西亚资讯:中国海警“三都舰”抵达槟城,开启中马海上执法正式互访 中国海警局「三都舰」(舷号5308)抵达马来西亚槟城,停靠当地港口,展开为期数日的友好访问。这是中马两国海上执法机构深化交流合作的重要行动。 据新华社11月5日报道,三都舰于当天从海南三亚启航,前往马来西亚槟城进行港口访问。访问期间,双方计划举行高级别会晤,并围绕海上执法、业务协作及专业经验交流等议题开展活动。 此次访问旨在进一步加强中马海警机构之间的友好往来,提升海上执法协作水平,共同维护南海地区和平与稳定。 值得关注的是,马来西亚海事执法局所属8305号巡逻舰曾于2025年6月访问中国海南三亚,此次中国海警舰艇回访槟城,意味着双方连续第二年开展正式海上执法机构交流互动。 此次访问也标志着中马海上执法合作进一步深化,为双方未来在海上安全、执法协作及专业交流等领域建立更紧密的合作关系创造条件。 免费投稿:@gucangsheng

10 Nov 2026, 10:55 UTC548 viewsread 12 November 2026
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🆘【🇱🇦 老挝万象突袭网络赌博窝点!12名外国人落网,11名泰国人被抓,现场查获20台电脑!】🆘 近日,老挝公安部专项工作组对首都万象市西萨塔纳县(Sisattanak)瓦索村(Ban Vat Sobs)一处出租屋展开突击检查,成功查获涉嫌从事网络赌博活动的窝点,一处普通出租屋,竟被怀疑暗中经营网络赌博及网络犯罪活动! 此次行动中,执法人员共拘留12名涉案人员,其中泰国籍11人(包括2名女性),另外1人为老挝籍。 现场查获的设备数量也引人关注: 📱 手机:11部 💻 台式电脑:20台 从人员构成到现场查获的设备,这处出租屋疑似并非普通居住场所,而是被用作网络赌博及相关网络犯罪活动的操作地点。 目前,12名涉案人员及相关电子设备已被执法部门控制,案件正在进一步调查处理中。 万象再传网络赌博窝点被查!11名泰国人集中落网,背后是否还涉及其他人员及犯罪网络,仍有待老挝警方进一步调查公布。 免费投稿:@guc…

Showing the 12 most recent of 1,783 posts we hold for @DSJP66. 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 edited after publishing

@DSJP66 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.

First edit seen
3 October 2026
Most recent edit
3 October 2026

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

“东南亚大事件” (@DSJP66), 92,232 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/DSJP66.

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.