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Channel

东南亚大事件 @DSJ03

@dsj03

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

112,929subscribers

-27,651 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001301234116
TypeChannel
Username@dsj03
Description#东南亚 #菲律宾 #越南 #老挝 #柬埔寨 #泰国 #缅甸 东南亚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。 其他东南亚大事件均为盗版!请注意识别,防止被骗或敲诈勒索! 投稿机器人 @DSJ666bot
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/dsj03

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dsj03/19713 · this entry7 Aug 2026, 13:01 UTC@MBDSJ0/229057 Aug 2026, 13:02 UTC1.0072 seconds
@MBDSJ0/229097 Aug 2026, 15:01 UTC@dsj03/19718 · this entry7 Aug 2026, 15:02 UTC1.00under a minute
@dsj03/22170 · this entry15 Oct 2026, 13:53 UTC@MBDSJ0/2700615 Oct 2026, 14:04 UTC1.0011 minutes
@MBDSJ0/2572120 Sept 2026, 10:32 UTC@dsj03/21374 · this entry20 Sept 2026, 12:43 UTC0.952.2 hours
@dsj03/21125 · this entry15 Sept 2026, 04:38 UTC@MBDSJ0/2677711 Oct 2026, 13:53 UTC0.8526 days
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
@MBDSJ05 (5/5 hand-verifiable sample passed)0.967 minutesthis entry (3–2)

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. 2 of the 2 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 3,040 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).

Recorded under the key 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.

Growth

112,929140,580126,754.57 August 202610 November 2026
61 measurements spanning 95 days, net -27,651. 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 108,781–144,728 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 09:36112,929-516
8 Nov 2026, 18:10113,445-577
7 Nov 2026, 14:18114,022-262
6 Nov 2026, 14:27114,284-292
5 Nov 2026, 11:09114,576-282
4 Nov 2026, 08:40114,858-564
3 Nov 2026, 05:29115,422-873
2 Nov 2026, 02:38116,295-381
1 Nov 2026, 00:50116,676-520
30 Oct 2026, 21:59117,196-563
29 Oct 2026, 23:49117,759-404
28 Oct 2026, 21:37118,163-239
27 Oct 2026, 21:11118,402-370
26 Oct 2026, 20:27118,772-309
25 Oct 2026, 21:48119,081-173
24 Oct 2026, 22:06119,254-361
24 Oct 2026, 01:11119,615-398
22 Oct 2026, 22:38120,013-320
21 Oct 2026, 22:44120,333-307
20 Oct 2026, 16:37120,640first reading

Engagement

3,056 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.75%
avg views ÷ 112,929 subscribers
Avg views / post
4,240
915 posts measured
Reaction rate
0.021%
reactions ÷ views · ER floor
Posts in window
915
of 3,056 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 212 of 915 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 held3,056 (7 August 2026 – 12 November 2026)
Views total3,879,688
Reactions total222
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 04:10 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
≈17,100
Videos
≈2,360
Links
≈10,400

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
1m 30s
Average length
3s

Measured directly from 30 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

229 reactions across 218 posts, in 7 distinct kinds. The most used accounts for 34.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7934.5%
🤩3414.8%
🎉3013.1%
👏2912.7%
🔥2812.2%
🥰2812.2%
❤10.437%

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 219 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 229 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 10 October 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 915 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, 03:48 UTC3 viewsread 12 November 2026
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【#越南】【💊 西宁省男子涉嫌组织非法吸毒被刑事拘留】据越南Kenh14网站11月11日报道,西宁省公安11月10日通报,新盛乡公安与省毒品犯罪调查警察部门合作,对1999年出生的阮国宝执行刑事拘留,调查其涉嫌组织非法使用毒品的行为,适用《刑法》第255条第2款。案件源于7月10日上午7时45分的一次住宿检查:警方在一处住宅内发现5人,经调查确认他们于7月9日晚在该地点非法使用毒品。西宁省调查警察机关于7月28日立案,并对相关嫌疑人启动刑事程序。扩大调查后,警方称收集到阮国宝参与组织吸毒的证据,遂决定起诉并拘留他。该案的核心违法行为发生于7月,11月11日为媒体披露最新办案进展的日期。 #毒品案件 #越南公安 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆

12 Nov 2026, 03:12 UTC6 viewsread 12 November 2026
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【#菲律宾】【👮 伊洛伊洛两名涉儿童性侵通缉人员被捕】据菲律宾Daily Guardian 11月11日报道,伊洛伊洛省警方于11月8日在两次独立行动中,拘捕两名涉嫌侵害未成年人的通缉人员。18岁的“EJ”在阿尼拉奥落网,被控性侵犯式强奸,并适用菲律宾第7610号共和国法,即《儿童免受虐待、剥削和歧视特别保护法》;法院于10月21日签发逮捕令,保释金定为20万比索,他位列该省通缉名单第八名。另一名41岁男子“Patong”在卡莱斯被捕,涉嫌《修订刑法典》第336条所列猥亵行为,同样关联第7610号共和国法;其逮捕令于10月13日签发,保释金为18万比索。两人目前均由警方羁押,等待后续司法程序。 #儿童保护 #通缉犯落网 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎…

12 Nov 2026, 02:38 UTC12 viewsread 12 November 2026
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【#菲律宾】【🔪 三宝颜家庭聚饮发生命案,侄子涉嫌刺死叔父】据菲律宾The Mindanao Sentinel 11月11日报道,11月10日晚,三宝颜市博隆描笼涯曼加小区一场家庭聚饮期间发生持刀袭击。农民埃隆·塔罗萨背部中刀,当场死亡;嫌疑人被确认为死者侄子。当地村委官员罗尼·罗塞特称,死者当时正与亲属饮酒,嫌疑人突然出现,涉嫌从背后持刀袭击,随后逃离现场。三宝颜市第三警察局接报后展开追捕,在桑加利地区将嫌疑人抓获。目前嫌疑人由警方羁押,案件仍在调查。初步报告没有公布其姓名、年龄及对事件的陈述,警方也尚未确定行凶动机,以及叔侄两人此前是否发生争执。死者遗体已送往殡仪馆,后续将由调查机关依法厘清完整经过及刑事责任。 #家庭命案 #三宝颜治安 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: …

12 Nov 2026, 01:58 UTC14 viewsread 12 November 2026
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【#泰国】【🚔 芭提雅交警拦查可疑车辆,发现司机背负毒品案逮捕令】据泰国The Pattaya News 11月11日报道,11月10日晚约9时30分,芭提雅市警察局交通警察在警局外的南芭提雅路执勤时,发现一名司机行为可疑,遂示意其停车检查。资料库核查显示,这名来自春武里府攀通县、名为瓦辛的男子,被芭提雅省法院以毒品相关案件通缉,涉及持有及使用毒品、在毒品影响下驾驶,以及未按要求报到等事项。瓦辛承认自己就是逮捕令所列人员,且此前未因此案被捕。警察向其说明权利后,将人和车辆一并控制,随后移交邦拉蒙警察局,由调查人员依照逮捕令继续办理。警方称,此次拦查属于日常交通秩序执法,同时用于发现交通违规者和刑事通缉人员。 #毒品犯罪 #芭提雅警方 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @K…

12 Nov 2026, 01:18 UTC23 viewsread 12 November 2026
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【#泰国】【🛂 俄罗斯女子在普吉逾期居留2379天被捕】据泰国The Thaiger 11月11日报道,普吉移民官员根据线报,在芭东西里拉路一处公寓房间内拘捕一名俄罗斯女子。移民部门记录显示,她的合法居留许可早在2020年10月12日已经到期,至被捕时共逾期居留2379天,超过六年。该女子据报道承认逾期居留,随后被带往芭东警察局接受进一步法律处理,报道未公布其完整姓名。移民局表示,此次行动属于全国加强检查非法居留及被通缉外国人的专项执法。当局同时提醒,根据泰国《移民法》第38条,房屋业主、房东及酒店经营者须申报外国住客资料;发现涉嫌违法居留者,可拨打移民局热线1178举报。 #逾期居留 #泰国移民执法 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料:

12 Nov 2026, 00:37 UTC36 viewsread 12 November 2026
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【#泰国】【⚖️ 普吉两名少年涉嫌因债务纠纷袭击男子致死】据泰国The Thaiger 11月11日报道,普吉府他朗县11月10日凌晨发生致命袭击,51岁男子吉迪萨送医后不治。医院约凌晨1时通知警方,死者头部、颈部和手臂均有伤痕,遗体随后转送普吉瓦奇拉医院检验。调查显示,两名分别为16岁和17岁的少年骑摩托车到案发现场,涉嫌使用棒球棍和刀具袭击吉迪萨后逃离。警方约凌晨3时将两人拘捕,并扣押摩托车、棒球棍及刀具。两人据称承认参与袭击,并将动机归因于一笔未退还款项。一名嫌疑人的姐姐称,其弟弟曾付钱请死者协助取回因改装而被扣的摩托车,但车辆一直未能取回。警方拟向普吉省儿童及家庭法院申请继续拘留两名未成年人。 #未成年人犯罪 #普吉命案 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJ…

12 Nov 2026, 00:01 UTC38 viewsread 12 November 2026
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【#印度尼西亚】【🌐 印尼警方在菲律宾拘捕数十名网络诈骗嫌疑人】据印尼安塔拉通讯社11月11日报道,印尼国家警察总长苏尤迪·阿里奥·塞托表示,警方通过秘密行动,在菲律宾拘捕数十名涉嫌参与网络诈骗团伙的人员,目前正将他们押送回国。这些嫌疑人被指以菲律宾为活动据点,针对印尼境内民众实施网络诈骗。苏尤迪称,此次行动属于跨国执法合作的一部分,警方稍后才会公布确切人数、行动地点及案件细节,因此暂不能确认涉案金额和受害者规模。他同时表示,印尼警方将网络诈骗、网络赌博、毒品、走私及人口贩运列为重点打击方向。此案也反映部分东南亚诈骗团伙利用跨境转移据点逃避追查,相关嫌疑人的身份核验、遣返和后续司法程序仍在推进。 #跨国电诈 #印尼警方 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎…

11 Nov 2026, 18:01 UTC303 viewsread 12 November 2026
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【#菲律宾】【🚨 新怡诗夏省便利店遭持械抢劫,6名嫌疑人落网】据菲律宾GMA News 11月11日报道,11月10日晚约9时30分,6名年龄介于19至22岁的嫌疑人闯入加旁市潘布安描笼涯一家便利店,涉嫌用枪指向收银员,威胁员工并抢走现金和手机,随后用束线带捆绑两名员工。两名受害人自行挣脱后求助,警方于晚10时10分接报并展开追捕。嫌疑人驾驶的面包车途经多个城镇,最终在阿拉米诺斯与圣托马斯交界附近被截停,6人全部被捕。警方起获疑似赃款及用于更换、掩盖车辆身份的车牌,并正核查他们是否涉及黎刹省圣马特奥和罗德里格斯的其他抢劫案。具体损失金额仍在统计,警方将依法提出指控。 #持械抢劫 #菲律宾治安 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL0

11 Nov 2026, 17:29 UTC275 viewsread 12 November 2026
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【#印度尼西亚】【🐘 印尼在COP31介绍国家公园保护融资工作组】据印尼ANTARA通讯社11月10日报道,印尼总统气候变化与能源特使哈希姆·乔乔哈迪库苏莫9日在土耳其安塔利亚举行的《联合国气候变化框架公约》第31次缔约方大会上,介绍国家公园管理创新融资工作组。印尼拥有57个国家公园,政府希望从依赖短期项目和政府投入,转向由政府、企业、慈善机构及国际社会共同参与的长期融资体系,并已于2026年通过总统条例正式设立该工作组。哈希姆还介绍Pusangan大象保护倡议,将野生动物保护、栖息地恢复与社区赋能结合。他强调,保护成效应以实际保存的栖息地、物种及社区收益衡量,而非只看筹资金额。 #国家公园 #生态保护融资 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料

11 Nov 2026, 17:04 UTC≈3,880 viewsread 12 November 2026
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【#印度尼西亚】【🚁 南加里曼丹直升机坠毁后暂停空中灭火】据印尼ANTARA通讯社11月10日报道,南加里曼丹省一架执行洒水灭火任务的直升机11月8日坠入巴里托河,造成一名机组人员死亡。省长穆希丁9日宣布,当地暂时停止空中洒水灭火,后续工作改由地面工作组和社区志愿者承担。由于近期多轮降雨后火情相对受控,现场指挥所和综合应急哨所已经关闭,人员返回各自岗位待命。空军、国家灾害管理局及气象部门此前联合开展人工影响天气作业,每天投放2.5至3吨干冰,并使用氯化钠进行云催化。省政府希望自然降雨持续,降低森林和土地火灾再次扩散的风险。 #航空事故 #森林消防 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

11 Nov 2026, 16:27 UTC≈3,640 viewsread 12 November 2026
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【#印度尼西亚】【🛰️ 印尼要求实地核查南巴布亚疑似烧荒热点】据印尼ANTARA通讯社11月10日报道,国家灾害管理局要求对南巴布亚部分特许经营林地的疑似烧荒行为开展实地核查,并已与地方政府、军方和警方协调检查。此前,林业部长11月4日致函南巴布亚省长,要求说明当地土地状况。灾害管理局在会上展示了PT Merauke Sarjaya和PT Selaras Inti Semesta特许经营区的初步热点数据,但强调仍需现场确认实际情况。截至11月8日18时,相关监测系统共记录2529个热点和976次火情探测,过火面积5335公顷,其中1925公顷仍在燃烧;南巴布亚记录427个热点、过火面积约830公顷。当局还计划整合林业、种植和采矿许可数据,提高预警准确性。 #火灾监测 #南巴布亚 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCc…

11 Nov 2026, 15:47 UTC≈3,690 viewsread 12 November 2026
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【#越南】【🛵 胡志明市研究帮助低收入劳动者维修或更换车辆】据越南《Tuổi Trẻ》11月10日报道,为推进摩托车排放检测,胡志明市要求财政部门研究对工人和低收入劳动者的支持政策,包括承担首次排放检测费用、为困难车辆提供部分维修费用,以及研究旧车折价换新、优惠信贷和分期付款机制,协助居民改用电动车或其他清洁能源车辆。建设部门则负责研究高排放车辆的维修、保养、技术支持及更换方案。市政府还要求合理布局检测点,研究非办公时间检测、网上预约和提前登记,减少人员集中排队,并在工业园区和出口加工区加强政策宣传。上述措施目前处于研究阶段,并非补贴已经正式发放。 #绿色出行 #劳动者保障 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

Showing the 12 most recent of 3,056 posts we hold for @dsj03. 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 11 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件 @DSJ03” (@dsj03), 112,929 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/dsj03.

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.