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Channel

东南亚大事件-聚焦时事🌆

@LLxw_7

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

8,696subscribers

-5,729 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003430947475
TypeChannel
Username@LLxw_7
Description#柬埔寨#老挝 #缅甸#泰国#迪拜#菲律宾#东南亚#交流群 东南亚大事件曝光-聚焦时事 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。 本频道工作人员不会主动私聊任何飞机用户! 投稿打广告联系客服https://t.me/LL0000207
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held49
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/LLxw_7

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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.

Growth

8,69614,42511,560.57 August 2026 — 14,425 subscribers7 August 2026 — 14,425 subscribers8 August 2026 — 14,392 subscribers9 August 2026 — 14,313 subscribers10 August 2026 — 14,186 subscribers11 August 2026 — 14,134 subscribers12 August 2026 — 14,018 subscribers13 August 2026 — 13,958 subscribers14 August 2026 — 13,889 subscribers16 August 2026 — 13,769 subscribers17 August 2026 — 13,670 subscribers18 August 2026 — 13,553 subscribers19 August 2026 — 13,466 subscribers20 August 2026 — 13,408 subscribers21 August 2026 — 13,398 subscribers23 August 2026 — 13,394 subscribers24 August 2026 — 13,387 subscribers25 August 2026 — 13,354 subscribers26 August 2026 — 13,325 subscribers27 August 2026 — 13,313 subscribers28 August 2026 — 13,297 subscribers29 August 2026 — 13,245 subscribers30 August 2026 — 13,180 subscribers31 August 2026 — 13,137 subscribers1 September 2026 — 13,024 subscribers2 September 2026 — 12,970 subscribers4 September 2026 — 12,971 subscribers6 September 2026 — 12,892 subscribers9 September 2026 — 12,837 subscribers12 September 2026 — 12,774 subscribers13 September 2026 — 12,565 subscribers15 September 2026 — 12,456 subscribers17 September 2026 — 12,412 subscribers27 September 2026 — 12,288 subscribers4 October 2026 — 12,220 subscribers9 October 2026 — 12,196 subscribers13 October 2026 — 12,187 subscribers14 October 2026 — 12,151 subscribers15 October 2026 — 12,146 subscribers16 October 2026 — 12,140 subscribers17 October 2026 — 12,137 subscribers18 October 2026 — 12,134 subscribers19 October 2026 — 12,123 subscribers21 October 2026 — 10,906 subscribers22 October 2026 — 8,730 subscribers25 October 2026 — 8,719 subscribers28 October 2026 — 8,712 subscribers31 October 2026 — 8,699 subscribers3 November 2026 — 8,696 subscribers7 August 20263 November 2026
49 measurements spanning 87 days, net -5,729. 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 7,837–15,284 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
3 Nov 2026, 05:418,696-3
31 Oct 2026, 14:278,699-13
28 Oct 2026, 03:508,712-7
25 Oct 2026, 05:378,719-11
22 Oct 2026, 09:548,730-2,176
21 Oct 2026, 00:3710,906-1,217
19 Oct 2026, 20:3612,123-11
18 Oct 2026, 17:1912,134-3
17 Oct 2026, 15:1512,137-3
16 Oct 2026, 12:3712,140-6
15 Oct 2026, 15:1612,146-5
14 Oct 2026, 17:3112,151-36
13 Oct 2026, 06:0012,187-9
9 Oct 2026, 02:2112,196-24
4 Oct 2026, 18:5912,220-68
27 Sept 2026, 02:1612,288-124
17 Sept 2026, 10:3912,412-44
15 Sept 2026, 13:1512,456-109
13 Sept 2026, 19:5812,565-209
12 Sept 2026, 01:1912,774first reading

Engagement

75 posts held, back to 4 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.24%
avg views ÷ 8,696 subscribers
Avg views / post
195
16 posts measured
Reaction rate
0.747%
reactions ÷ views · ER floor
Posts in window
16
of 75 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 4 of 16 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 November 2026
Posts held75 (4 August 2026 – 5 November 2026)
Views total3,120
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:33 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
≈1,220
Videos
≈208
Links
≈82

Lifetime counters from Telegram’s own channel header, read 5 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
2m 30s
Average length
21s

Measured directly from 7 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

40 reactions across 23 posts, in 8 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1640.0%
👍1025.0%
😱512.5%
💯37.50%
🤯37.50%
🤬12.50%
🥰12.50%
🫡12.50%

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 26 of the 75 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 75 most recent posts we hold, published 4 August 2026 to 5 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 16 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).

5 Nov 2026, 02:55 UTC103 viewsread 5 November 2026
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🇲🇾 槟城警方捣毁网恋黄金投资电诈窝点,抓获 35 名中国籍嫌疑人! 马媒报道:11月2日下午,槟城警方突击搜查峇六拜两处住宅,捣毁一个涉嫌以网恋交友、虚假黄金投资实施诈骗的电诈窝点,抓获 35 名外籍人员,年龄介于 18 至 46 岁。被捕人员包括 34 名中国籍人员(含一名女子)以及一名中国台湾地区男子。 初步调查显示,该团伙自今年 9 月开始作案,主要通过 Telegram 接触受害者,专门针对中国女性行骗。团伙先以网恋获取对方信任,再推销所谓黄金投资项目实施诈骗。 警方在现场查获 119 部手机、三台笔记本电脑以及配套充电器等作案工具,查扣物品总价值约 6 万马币。 案件目前依据《刑法典》第 420 条(欺诈)以及第 120B 条(犯罪共谋)展开调查。 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@LL0000207

5 Nov 2026, 02:55 UTC94 viewsread 5 November 2026
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#突发事件:西港星汇一驴子寻死跳楼。 关注大事件频道➡️ @LLxw_7 投稿:@LL0000207

4 Nov 2026, 03:41 UTC135 viewsread 5 November 2026
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午夜西港,中国人打中国人! 据柬媒报道,昨天午夜12时许,西港三分区下市场附近发生一起涉及中国人的暴力冲突事件。现场视频显示,2名男子对另一名倒地的男子实施了殴打。 报道称,案发后,涉事双方均逃离现场。目前冲突原因不明,警方已介入调查。 关注大事件频道➡️ @LLxw_7 投稿:@LL0000207

2 Nov 2026, 14:55 UTC175 viewsread 5 November 2026
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🇨🇳山东德州禹城公安打掉 3 个色情敲诈犯罪团伙 德州警方11月2日通报: 近日,禹城市公安局经缜密侦查、精准收网,连续打掉 3 个色情敲诈的犯罪团伙,抓获犯罪嫌疑人 9 人。 该犯罪团伙在社交软件注册账号,以提供色情服务为由引诱受害人上钩。待受害人落入圈套后,随即以“怀孕”、“报警”等借口相要挟,实施敲诈勒索。 目前,9 人已被采取刑事强制措施,案件正在进一步深挖彻查中。 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@LL0000207

2 Nov 2026, 08:09 UTC169 viewsread 5 November 2026
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#马来西亚资讯:全国展开两天扫赌行动,201处场所遭突击,282人被捕! 10月31日至11月1日,马来西亚警方在全国范围内展开代号为“Ops Dadu Khas”的大规模扫赌行动,重点打击网络赌博及无牌彩票经营活动。 此次行动由武吉阿曼警察总部刑事调查局统一部署,全国同步突击检查201处涉嫌非法经营赌博活动的场所。 警方公布,此次行动共逮捕282人,其中包括229名男性及53名女性。被捕人员年龄介于20岁至65岁之间,人员构成为223名马来西亚籍人士,以及59名外国籍人士。 59名外国人分别来自印度尼西亚、缅甸、尼泊尔及孟加拉国。警方初步调查认为,这些外国人员受雇于当地赌博集团。 警方行动及查获情况: 突击检查场所:201处。 涉嫌经营网络赌博:108处。 涉及无牌公共彩票:93处。 被捕人员:282人。 查获现金:32,149令吉。 查获物品:平板电脑、手机、便携式打印机及其他电子设备。 武吉阿曼刑事调查局总监拿…

31 Oct 2026, 11:46 UTC192 viewsread 5 November 2026
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🇲🇾大马移民局捣毁“莎阿南”网赌窝点,抓获5名印尼籍嫌疑人 10月29日,马来西亚移民局依托民众举报与前期情报线索,在雪兰莪州莎阿南U13区一处高档住宅发起专项清查行动。 本次行动由布城移民局总部情报与特种行动组负责实施,执法人员当场抓获5名印尼籍人员(含2名女性)年龄在23至41岁之间。 经初步调查确认,这处住宅被用作网络赌博运营据点,主要承接玩家充值、赌博账号管理等业务。该团伙依托WhatsApp、Telegram平台招揽参赌人员,采用两班倒模式全天候运营,相关违法活动已经持续约一年。 执法人员在现场起获6台显示器、12部手机、2台路由器以及房屋钥匙,全部予以扣押备查。 涉案5人因无法出示有效的居留证件,涉嫌违反马来西亚《1959/63移民法》第6(1)(c)条款,目前已被扣留,接受进一步调查。 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@LL0000207

31 Oct 2026, 05:08 UTC209 views1 reactionsread 5 November 2026
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🇲🇾大马移民局在吉隆坡、沙登两地打掉一电诈团伙,抓获64名外籍嫌疑人(含44名中国籍) 据马媒报道:马来西亚移民局联合通讯及多媒体委员会(MCMC)开展两日专项行动,成功打掉一处藏匿于高档公寓及别墅内的跨国网络诈骗团伙,抓获64名外籍嫌疑人。 10月28日,执法人员突击搜查吉隆坡克林芝路4处豪华公寓、沙登The Mines两栋别墅。 被捕人员包括44名中国公民、19名越南公民、1名缅甸公民,首日抓获34人,后续抓捕30人。 移民局总监扎卡里亚·沙班披露,该团伙运作时长约两个月,通过线上平台实施诈骗,每日涉案获利10万至15万令吉,累计非法所得约600万令吉。 涉案人员每日上午10时至晚间11时作案,底薪3000至6000令吉,可获得诈骗金额17%的提成。团伙成员各自针对本国民众,以虚假服务实施诈骗。 该团伙向本地业主租赁高档房产作为窝点,公寓月租5000至10000令吉,别墅月租合计2.5万令吉。执法现场查获28台笔…

❤1

30 Oct 2026, 10:09 UTC204 viewsread 5 November 2026
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币安预计 45 小时内恢复提款,已冻结约 30 亿美元资产 币安发布调查更新称,初步调查显示此次安全事件可能涉及一台被入侵的笔记本电脑,后续调查则发现了更多入侵点。币安表示,这是一次复杂攻击,目前正与执法部门协调处理,并继续收集事实,后续将直接分享更多信息。币安将使用 SAFU 基金和公司资金承担全部损失,并称用户资金安全。 币安仍预计在 45 小时内恢复提款服务,充值不受影响。此前暂停提款后,资金外流已停止。币安正与合作伙伴冻结受影响资产,目前已冻结约 30 亿美元,并将通过官方渠道提供进一步更新。 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@LL0000207

29 Oct 2026, 09:22 UTC215 viewsread 5 November 2026
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一名加密货币诈骗犯在Discord上炫耀自己窃取了1300万美元后被抓获 据加拿大广播公司(CBC)消息,10月26日,美国迈阿密联邦法院判处20岁加拿大男子特伦顿·约翰斯顿25个月监禁,其被控加密货币诈骗以及洗钱相关罪名。 调查显示,约翰斯顿从17岁起就冒充谷歌以及加密货币平台的客服,诱骗受害者交出钱包访问凭证。一名加州受害者被骗走毕生积蓄185枚比特币,案发时价值约1300万美元。 他用赃款购置了一辆兰博基尼、两辆宝马、珠宝,还租赁私人飞机,并在Discord上炫耀、分享作案手法。约翰斯顿于今年3月在一辆劳斯莱斯车内被捕。他认罪后,退回了价值约380万美元的涉案加密资产。 检方表示,约翰斯顿对洗钱共谋罪认罪。原本量刑区间为51至63个月,本次从轻判决,一部分原因是他配合调查、退回部分涉案加密资产。刑满释放后,他将被遣返回加拿大。 诈骗,炫富,然后被定罪… 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@…

29 Oct 2026, 03:40 UTC208 viewsread 5 November 2026
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中国驻泰大使会见泰国安委会秘书长,双方商讨打击跨国犯罪及网络犯罪 10月27日,中国驻泰国大使张建卫率代表团赴泰国总理府国家安全委员会办公室,会见泰国国家安全委员会秘书长猜帕勒上将,双方就加强安全合作、打击跨国犯罪和网络犯罪等议题交换意见。 双方重点讨论了跨国犯罪、网络犯罪,以及不法分子诱骗外国人特别是中国公民从泰国前往邻国边境地区等问题,认为相关犯罪活动已成为亟待应对的安全挑战,应进一步加强沟通协调与执法合作,共同预防和打击违法犯罪,切实保障中泰两国及其他国家公民的人身安全。 张建卫表示,中方愿继续加强与泰国国家安全委员会办公室的沟通协作,深化安全领域合作,共同应对跨国安全威胁。 猜帕勒表示,泰方高度重视保障本国及外国公民安全,愿加强与中国等国家的国际合作,提升打击跨国犯罪的成效,维护地区安全稳定。 双方一致表示,将继续深化安全领域交流合作,加强协同应对,共同打击跨国犯罪及网络犯罪,切实维护两国人民生命财产安全。 …

27 Oct 2026, 07:15 UTC230 viewsread 5 November 2026
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#柬埔寨资讯:金边突查涉嫌网络诈骗窝点,8名越南籍人员被捕 10月26日,柬埔寨金边市桑园区(Chamkar Mon)当局开展突击检查行动,捣毁一处涉嫌利用虚假海外工作机会实施网络诈骗的窝点,逮捕8名越南籍嫌疑人,其中包括2名女性。 据桑园区行政当局通报,此次行动由区政府统一指挥,并在金边初级法院检察院副检察官协调下,组织多部门执法人员展开。 执法人员根据相关举报,对位于金边市桑园区洞里巴萨克分区(Tonle Bassac)、78号路、BALI 2大楼13层B8室的地点进行检查。 行动结果如下: - 逮捕人数: 8人,全部为越南籍,其中2名女性。 - 涉嫌犯罪: 通过虚假海外就业机会实施网络诈骗(Work Scams)。 - 查获物品: 笔记本电脑9台、工作手机4部、部分涉嫌伪造的文件及印章2枚。 此外,执法人员还检查了该楼层共14间房间,另发现5名持有护照及签证、合法居留的外国人,其中包括3名中国籍人员,以及2名越南…

26 Oct 2026, 12:32 UTC234 viewsread 5 November 2026
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#ios无感盗U:访问色情网站15秒,手机里的钱包就可能被盗? 具体实现原理和DarkSword漏洞高度相似 以前fomopeek事件中很多人说这是贪小便宜乱下app导致的,但是现在明确也可以通过网站窃取手机内关键数据~ Ps:建议钱包手机单独一个设备… 🔔订阅东南亚大事件:@LLxw_7 ☎️ 投稿澄清爆料:@LL0000207

Showing the 12 most recent of 75 posts we hold for @LLxw_7. 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 1 post on @LLxw_7 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
13 August 2026
Most recent seen missing
13 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Mentions

Named by 1 registered channel — 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件-聚焦时事🌆” (@LLxw_7), 8,696 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/LLxw_7.

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.