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Channel

东南亚大事件-事件曝光

@cctv2

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

162,815subscribers

-24,393 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1001888230516
TypeChannel
Username@cctv2
Description#东南亚大事件 #海外华人 #缅甸 #柬埔寨 #泰国 第一时间传递海外华人最关心、最关键的信息 全面覆盖东南亚核心国家与重点地区 • 权威速递东南亚突发新闻与重大事件 • 深度呈现海外华人最新动态与真实故事 • 提供实用的华人生活资讯、互助与紧急求助信息 • 洞察多行业热点趋势,把握区域发展脉搏 简洁 · 快速 · 准确 全天滚动更新,直达一线现场
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live23 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/cctv2

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 50% 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 why it has no browse page of its own yet.

Growth

161,888187,208174,54810 August 2026 — 187,208 subscribers10 August 2026 — 187,208 subscribers10 August 2026 — 187,007 subscribers11 August 2026 — 185,219 subscribers12 August 2026 — 184,225 subscribers14 August 2026 — 182,649 subscribers15 August 2026 — 181,427 subscribers16 August 2026 — 179,885 subscribers18 August 2026 — 178,663 subscribers19 August 2026 — 177,298 subscribers20 August 2026 — 176,956 subscribers21 August 2026 — 176,349 subscribers22 August 2026 — 175,726 subscribers24 August 2026 — 174,998 subscribers25 August 2026 — 164,655 subscribers26 August 2026 — 162,690 subscribers27 August 2026 — 167,976 subscribers28 August 2026 — 175,398 subscribers29 August 2026 — 174,591 subscribers30 August 2026 — 170,770 subscribers31 August 2026 — 169,770 subscribers1 September 2026 — 167,701 subscribers2 September 2026 — 166,779 subscribers4 September 2026 — 166,191 subscribers6 September 2026 — 179,177 subscribers9 September 2026 — 173,331 subscribers12 September 2026 — 171,008 subscribers13 September 2026 — 166,981 subscribers15 September 2026 — 169,094 subscribers17 September 2026 — 166,853 subscribers29 September 2026 — 161,888 subscribers5 October 2026 — 166,863 subscribers9 October 2026 — 171,643 subscribers13 October 2026 — 168,962 subscribers14 October 2026 — 167,543 subscribers16 October 2026 — 166,703 subscribers16 October 2026 — 165,872 subscribers18 October 2026 — 165,146 subscribers19 October 2026 — 164,446 subscribers20 October 2026 — 163,741 subscribers21 October 2026 — 163,040 subscribers22 October 2026 — 161,970 subscribers23 October 2026 — 162,815 subscribers162,81510 August 202623 October 2026
43 measurements spanning 74 days, net -24,393. 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 158,090–191,006 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
23 Oct 2026, 15:17162,815+845
22 Oct 2026, 13:48161,970-1,070
21 Oct 2026, 04:49163,040-701
20 Oct 2026, 04:27163,741-705
19 Oct 2026, 03:57164,446-700
18 Oct 2026, 01:21165,146-726
16 Oct 2026, 22:46165,872-831
16 Oct 2026, 02:07166,703-840
14 Oct 2026, 22:35167,543-1,419
13 Oct 2026, 13:46168,962-2,681
9 Oct 2026, 17:58171,643+4,780
5 Oct 2026, 12:18166,863+4,975
29 Sept 2026, 11:59161,888-4,965
17 Sept 2026, 20:39166,853-2,241
15 Sept 2026, 14:37169,094+2,113
13 Sept 2026, 23:01166,981-4,027
12 Sept 2026, 04:16171,008-2,323
9 Sept 2026, 23:39173,331-5,846
6 Sept 2026, 13:58179,177+12,986
4 Sept 2026, 00:54166,191first reading

Engagement

2,200 posts held, back to 10 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 153 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.13%
avg views ÷ 162,815 subscribers
Avg views / post
212
875 posts measured
Reaction rate
13.5%
reactions ÷ views · ER floor
Posts in window
875
of 2,200 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 850 of 875 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 23 October 2026
Posts held2,200 (10 August 2026 – 23 October 2026)
Views total185,124
Reactions total24,959
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 19:03 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
≈17,700
Videos
≈3,840
Links
≈339

Lifetime counters from Telegram’s own channel header, read 23 October 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
1h 59m
Average length
37s

Measured directly from 194 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

31,318 reactions across 975 posts, in 4 distinct kinds. The most used accounts for 32.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10,25032.7%
🎉10,17632.5%
👍10,15732.4%
👏7352.35%

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 975 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 31,318 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 19 September 2026 to 23 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.

Recent posts

23 Oct 2026, 15:52 UTC54 views29 reactionsread 23 October 2026
Photo

#群友反馈:西港ob4希尔顿别墅现在有移民局检查,同胞们注意‼️ #西港

👍14❤11🎉4

23 Oct 2026, 15:42 UTC58 views29 reactionsread 23 October 2026
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#巴基斯坦资讯:拉合尔59名网络诈骗嫌疑人被捕,警方查获大量电脑及手机设备 10月22日报道:近日,巴基斯坦国家网络犯罪调查局(NCCIA)拉合尔分局开展专项执法行动,打击涉嫌针对外国公民及在线商业平台实施诈骗的犯罪团伙,共逮捕59名嫌疑人,其中包括52名男性和7名女性。 调查显示,涉案人员涉嫌通过多种方式实施网络及金融诈骗。一方面,嫌疑人冒充电信公司工作人员,以手机套餐升级、网络服务包及其他通信服务为诱饵,诱骗受害者付款;另一方面,部分人员涉嫌非法截留、转移与在线外卖平台相关联的餐饮商户资金,从中谋取非法利益。 行动中,执法人员共查获61台笔记本电脑、21套计算机系统以及52部手机。调查人员正对相关电子设备及数据展开进一步核查,以追查涉案账户、资金流向及其他可能参与犯罪的人员。 巴基斯坦执法部门指出,网络诈骗及非法转移商业资金的行为,不仅会给外国公民和当地商户造成经济损失,也会对数字商业环境及金融体系的安全与信誉带来负…

👍14❤9🎉6

23 Oct 2026, 15:32 UTC54 views31 reactionsread 23 October 2026
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#群友反馈:吉隆坡SS CREATIONS这个公寓楼有人跳楼了。白布都盖起来了。警察也来了。 #吉隆坡

👍14❤11🎉6

23 Oct 2026, 15:25 UTC60 views34 reactionsread 23 October 2026
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🇨🇳点个陌生链接,USDT被盗!湖南湘潭公安赴娄底捣毁一盗U窝点,抓获3人! 湘潭县公安局10月19日通报:近日,青山桥派出所联合湘潭县公安局刑侦大队、网安大队及乌石派出所,奔赴娄底市娄星区,成功捣毁一处利用恶意链接盗取虚拟货币的涉诈窝点,抓获3名犯罪嫌疑人。 9月4日,青山桥派出所接到辖区群众曹某某报警,称其在虚拟币QQ群内点击陌生链接后,其账户内USDT币(价值6814元)被盗。 经侦查查明:自8月以来,周某某、陈某、梁某3人为牟取非法利益,通过“Telegram”APP获取恶意病毒链接,专门搜寻QQ、微信内虚拟币交流群,在群内发送恶意链接,伺机窃取点击者账户内虚拟币牟利。 目前,3名嫌疑人均因涉嫌盗窃罪被依法刑事拘留,案件正在进一步办理中。 #湘潭县

🎉13👍11❤10

23 Oct 2026, 15:06 UTC54 views34 reactionsread 23 October 2026
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#群友爆料:广大求职者要注意点这种骗子,今天遇到个骗求职者的资料,发exe的恶意病毒包套取信息,被我发现了用软件查杀一下全是病毒。

👍15❤11🎉8

23 Oct 2026, 14:32 UTC56 views27 reactionsread 23 October 2026
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🇦🇪 阿联酋主导“幽灵对抗”跨国行动 联合30国打击AI电诈与洗钱 联合国毒品和犯罪问题办公室执行主任莫妮卡·朱马表示,阿联酋正联合30个国家、13家私营企业及2个国际组织,发起代号为“幽灵对抗”的专项行动。 该行动旨在联合多国执法部门、科技企业与金融机构,重点打击利用人工智能(AI)实施的跨国诈骗、数字金融犯罪及网络勒索。 阿联酋内政部强调,将通过实时情报共享与跨国执法协作,切断犯罪分子利用加密货币和数字平台进行的洗钱通道。 #阿联酋

👍10🎉9❤8

23 Oct 2026, 14:27 UTC51 views25 reactionsread 23 October 2026
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#网友投稿:东南亚扫诈风暴持续,回国找工作竟然发现了自己的天命职业! 上个月刚回国,本想着洗心革面、重新做人,到处投简历找工作。没想到今天刷到一个招聘信息:飞机杯厂招试玩员,每天试玩10小时,日薪500元! 看到工资的那一刻,我的眼睛亮了,嘴角歪了,感觉这简直就是老天爷给我安排的铁饭碗! 一天500,一个月干满30天就是15000,包吃包住不知道,但至少每天要爽上天!可惜啊,想当年在东南亚天天加班,没日没夜地奋斗,一天打飞机10多次,如今好不容易看到这份工作,却发现自己已经力不从心了。 看着招聘信息,我陷入了沉思:当初要是管住自己的手,现在是不是还能靠双手发家致富?如今才明白,年轻时不懂节制,老现在连500块一天的福报都接不住 #东南亚

👍15🎉6❤4

23 Oct 2026, 14:25 UTC52 views29 reactionsread 23 October 2026
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特朗普宣布打击东南亚电诈网络 拦截逾8亿美元涉案加密货币 美国总统特朗普在白宫网络犯罪专题活动上宣布,美执法部门针对活跃于缅甸、柬埔寨、老挝和菲律宾的跨国犯罪集团展开打击行动,重点打击“杀猪盘”、钓鱼网站及勒索软件等网络诈骗。 行动已拦截约8.33亿美元涉案加密货币,查封503个诈骗网站,并向近9000名受害美国公民发出警示通知。白宫借此展示了美方拦截海外加密资产及跨国打诈的阶段性战果。 #特朗普

❤15🎉10👍4

23 Oct 2026, 14:22 UTC49 views34 reactionsread 23 October 2026
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#柬埔寨资讯:警方破获一起绑架勒索案,成功营救1名中国籍受害者,逮捕4名中国籍嫌犯 10月19日下午,一名中国籍男子在柬埔寨西哈努克省(西港)遭犯罪分子绑架。接报后,柬埔寨警方迅速展开调查,并于10月21日凌晨在干拉省实施抓捕行动,成功营救受害者,逮捕4名中国籍犯罪嫌疑人。 据悉,10月19日下午,中国公民陈志斌(音译,Chen ZHIBIN)在西港第二区第三村遭一伙身份不明的人员绑架。 案件发生后,柬埔寨国家警察总署刑警局联合西哈努克省警察局及干拉省警察局展开调查。警方通过调查取证,逐步锁定涉案嫌疑人的身份及藏匿地点,并迅速部署抓捕行动。 10月21日凌晨3时,警方在干拉省一处地点展开行动,成功逮捕4名中国籍犯罪嫌疑人,分别为: HUANG QIAN(黄迁),男,31岁; HUANG HUI(黄辉),男,38岁; HUANG HAI(黄海),男,32岁; LUO MIN(罗敏),男,37岁。 此次行动中,警方成功解救…

👍18❤9🎉7

23 Oct 2026, 12:28 UTC43 views22 reactionsread 23 October 2026
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#国内资讯:辽宁省葫芦岛警方打掉一网络引流裸聊敲诈犯罪团伙,抓获4名嫌疑人 葫芦岛公安10月21日通报消息:近日,葫芦岛市公安局依托群众举报线索,成功打掉以唐某为首的实施网络引流、裸聊敲诈的新型涉恶犯罪团伙,抓获犯罪嫌疑人4名。 经查,自2026年5月起,该犯罪团伙利用境外通讯软件承接裸聊敲诈业务,在骗取获取被害人隐私视频影像后,窃取被害人社交群组信息,以曝光不雅隐私材料相要挟,采取网络“软暴力”方式实施敲诈勒索,逼迫被害人转账付款,严重扰乱网络空间秩序。 接到相关线索后,葫芦岛市公安局迅速开展核查研判,固定犯罪证据,组织警力开展集中抓捕,将该团伙4名成员全部抓获归案。 目前,4名犯罪嫌疑人已被依法采取刑事强制措施,案件正在进一步侦办中。 PS:这个色敲应该算电诈吧 搞不懂通报为什么会写了个涉恶🤣 #辽宁省

👍11❤6🎉5

23 Oct 2026, 12:22 UTC3 views30 reactionsread 23 October 2026
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西港金贝赌场、波罗勉省8号园区负责人被捕 柬埔寨当局近日宣布逮捕两名涉嫌参与网络诈骗活动的人员,分别为西港金贝赌场负责人英达拉(Ing Dara,左)和波罗勉省8 号园区负责人英索克林(Eang Soklim,右)。 两处场所均被指与网络诈骗活动有关。 #金贝赌场

👍12❤11🎉7

23 Oct 2026, 12:12 UTC56 views32 reactionsread 23 October 2026
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#网友投稿:西港蓝色海湾的警察出来了,应该是检查完了,据说是被举报的 #西港蓝色海湾

👍13🎉10❤9

Showing the 12 most recent of 2,200 posts we hold for @cctv2. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件-事件曝光” (@cctv2), 162,815 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/cctv2.

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.