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Channel

东南亚缅北新闻曝光电子

@newscn2

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

468,262subscribers

-8,132 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1002339042531
TypeChannel
Username@newscn2
Description#东南亚 #泰国 #缅甸 #柬埔寨 #缅北 #迪拜 #菲律宾 合作请确认以下才是官方账号 广告合作: @mimix 曝光投稿: @daqiye 最新新闻动态 ,曝光骗子,黑平台,黑公司,黑商家,悬赏,寻人,曝光免费请联系发布员!! #东南亚缅北新闻曝光电子
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/newscn2

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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.

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 word for word 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@nx123/381287 Aug 2026, 07:29 UTC@newscn2/28379 · this entry7 Aug 2026, 07:29 UTC1.00under a minute
@newscn2/28381 · this entry7 Aug 2026, 07:48 UTC@nx123/381307 Aug 2026, 07:48 UTC1.00under a minute
@newscn2/28383 · this entry7 Aug 2026, 07:56 UTC@nx123/381327 Aug 2026, 07:56 UTC1.00under a minute
@newscn2/28386 · this entry7 Aug 2026, 07:57 UTC@nx123/381357 Aug 2026, 07:57 UTC1.00under a minute
@newscn2/28387 · this entry7 Aug 2026, 07:57 UTC@nx123/381347 Aug 2026, 07:57 UTC1.00under a minute
@newscn2/28391 · this entry7 Aug 2026, 07:57 UTC@nx123/381407 Aug 2026, 07:57 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@nx12311 (7/8 hand-verifiable sample passed)1.00under a minute@nx123 (101)

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. 10 of the 10 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 13 comparable posts for this entry, running 7 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @nx123. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 8 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

465,563533,877499,7207 August 2026 — 476,394 subscribers8 August 2026 — 481,499 subscribers9 August 2026 — 479,077 subscribers10 August 2026 — 477,206 subscribers11 August 2026 — 518,707 subscribers13 August 2026 — 516,985 subscribers14 August 2026 — 514,399 subscribers15 August 2026 — 512,365 subscribers17 August 2026 — 509,576 subscribers18 August 2026 — 507,559 subscribers19 August 2026 — 489,422 subscribers20 August 2026 — 469,445 subscribers21 August 2026 — 465,563 subscribers23 August 2026 — 533,877 subscribers24 August 2026 — 530,988 subscribers25 August 2026 — 529,076 subscribers26 August 2026 — 526,015 subscribers27 August 2026 — 524,027 subscribers28 August 2026 — 522,728 subscribers29 August 2026 — 517,472 subscribers30 August 2026 — 505,157 subscribers31 August 2026 — 477,719 subscribers1 September 2026 — 484,211 subscribers2 September 2026 — 490,320 subscribers4 September 2026 — 488,239 subscribers6 September 2026 — 483,240 subscribers9 September 2026 — 468,262 subscribers468,2627 August 20269 September 2026
27 measurements spanning 32 days, net -8,132. 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 455,316–544,124 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
9 Sept 2026, 09:18468,262-14,978
6 Sept 2026, 01:20483,240-4,999
4 Sept 2026, 00:37488,239-2,081
2 Sept 2026, 12:56490,320+6,109
1 Sept 2026, 15:25484,211+6,492
31 Aug 2026, 15:44477,719-27,438
30 Aug 2026, 13:24505,157-12,315
29 Aug 2026, 16:47517,472-5,256
28 Aug 2026, 17:34522,728-1,299
27 Aug 2026, 21:05524,027-1,988
26 Aug 2026, 23:53526,015-3,061
25 Aug 2026, 20:34529,076-1,912
24 Aug 2026, 20:14530,988-2,889
23 Aug 2026, 07:57533,877+68,314
21 Aug 2026, 16:04465,563-3,882
20 Aug 2026, 16:12469,445-19,977
19 Aug 2026, 13:32489,422-18,137
18 Aug 2026, 11:13507,559-2,017
17 Aug 2026, 11:36509,576-2,789
15 Aug 2026, 20:14512,365first reading

Engagement

839 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.58%
avg views ÷ 468,262 subscribers
Avg views / post
7,380
668 posts measured
Reaction rate
6.45%
reactions ÷ views · ER floor
Posts in window
754
of 839 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 665 of 668 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 10 September 2026
Posts held839 (7 August 202610 September 2026)
Views total4,927,489
Reactions total317,805
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 03:59 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
2,200
Links
8,240

Lifetime counters from Telegram’s own channel header, read 10 September 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
18m 29s
Average length
31s

Measured directly from 36 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

361,614 reactions across 750 posts, in 23 distinct kinds. The most used accounts for 39.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍141,65239.2%
36,20710.0%
🎉35,9009.93%
🔥35,7329.88%
😁27,9317.72%
❤‍🔥11,0803.06%
🥰11,0373.05%
💯10,9403.03%
😍10,9053.02%
🤩10,8613.00%
🙏3,3210.918%
👌2,7650.765%
😇2,7060.748%
👏2,5270.699%
2,5120.695%
💋2,3450.648%
🤝2,2770.63%
🏆2,2500.622%
💘2,2440.621%
🫡2,2340.618%
3 further kinds4,1881.16%

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 750 of the 839 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 361,614 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 839 most recent posts we hold, published 7 August 2026 to 10 September 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

10 Sept 2026, 03:44 UTC≈2,770 views382 reactionsread 10 September 2026
Photo

#缅甸资讯 佤邦向中方移交2名中国籍涉案人员,具体所涉案件暂未公开 9月9日,据缅甸媒体《湄公河》援引佤邦联合军(UWSA)通报称,佤邦方面已抓获2名被中国方面通缉或要求协查的中国籍涉案人员,并于9月8日上午通过边境口岸移交给中国云南有关部门。 通报称,此次移交由佤邦司法委员会组织实施。 双方在交接过程中完成了身份信息核验、法律文件移交以及相关涉案证据物品确认等程序。 佤邦方面表示,此次行动属于双方持续加强边境执法与安全合作的一部分。&& 不过,UWSA此次并未公布这2名中国籍人员具体涉及何种案件,目前也没有披露其案情细节。 佤邦方面同时表示,后续将继续加强对跨境犯罪的打击,并与中方扩大情报交换、案件协查及联合执法合作。

👍59🔥5150🎉50🥰38😁38❤‍🔥30😍25

9 Sept 2026, 22:41 UTC≈8,610 views406 reactionsread 10 September 2026

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9 Sept 2026, 21:10 UTC≈9,960 views425 reactionsread 10 September 2026
Photo

刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1002339042531_1801894477_channels_e6b4b75b

🎉74🔥7161👍55🥰38😁35🤩27😍26

9 Sept 2026, 10:50 UTC≈20,900 views268 reactionsread 10 September 2026
Photo

🇻🇳 越南破获史上最大海上毒品案 查获1.16吨氯胺酮 越南警方、海岸警卫队与边防部队9月7日在河内举行表彰大会,宣布成功破获史上最大海上毒品案(代号126MT)。 今年5月25日,执法人员在越印边境海域拦截一艘渔船,在船舱夹层中查获伪装成茶包的1.16吨氯胺酮(价值约3250万美元)。主谋陈玉名企图行贿逃跑未遂,现已有9名嫌疑人被起诉。 此外,越南官方还公布了跨国缉毒案(代号291T)成果,已累计逮捕740人,缴获超103公斤合成毒品。

🤩43🔥35🥰33🎉31👍2826😍26❤‍🔥24

9 Sept 2026, 10:41 UTC≈21,300 views537 reactionsread 10 September 2026
Photo

#新加坡新闻 新加坡警方联手5家银行硬截诈骗转账,两个月保住逾4600万新元 9月8日,新加坡警方公布最新反诈行动结果。7月1日至8月31日,反诈骗中心联手星展银行、大华银行、华侨银行、渣打银行新加坡和GXS银行,两个月内直接阻断超过400起正在进行的诈骗,避免潜在损失超过4600万新元。 这次行动重点盯住异常转账。系统发现可疑交易后,警方和银行迅速联系可能受骗的客户,及时拦下继续汇款。 期间,超过2700名潜在受害者收到3300多条警告短信。 被拦下的案件主要集中在虚假投资和虚假招聘诈骗。骗子通常先用投资回报或高薪工作吸引受害者,再诱导他们连续转账,金额从小额一步步加大,直到大量资金被转走。

🤩70😍65👍64💯63🎉62🔥62🥰56❤‍🔥54

9 Sept 2026, 08:00 UTC≈23,300 views162 reactionsread 10 September 2026
Photo

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9 Sept 2026, 08:00 UTC≈23,800 views246 reactionsread 10 September 2026
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9 Sept 2026, 07:59 UTC≈23,500 views365 reactionsread 10 September 2026
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❤‍🔥5147🎉47😍43👍42🤩38💯36🥰31

9 Sept 2026, 07:59 UTC≈22,800 views253 reactionsread 10 September 2026
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182体育😂😂😂😂 #五大联赛投注首选 🤩🤩🤩🤩 1820642.com 人民币台首选,充值渠道全面-多种方式可选 ⭐🎰🤩🤩 8k3018.com U台玩家首选,U存U提,反水无上限 😀😀😀😀😀😀😀😀😀😀😀😀😀 🛳不限IP 免实名 无需绑银行卡和手机号 🛳存款加赠 😀 🛳每日提款不限额度不限次数 🛳电子可拉2万一注 🛳高端嫩模 劳力士手表 奔驰e300 🛳周流水彩金每周 68888 🛳双重签到彩金 16888+3888 🛳双重日存彩金 128888+4688 🛳大额出款奖励 8888-128888 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 🚊 PG《麻将胡了》爆出 121W丨提款127W 🚊 NBA连中三元精准下注豪揽 45W丨提款40W 🚊 PA《百家乐》豪赢 184W丨提款 183W 🚊PP《糖果1000》甜蜜暴击 100W丨提款142W 🚊26年度5月丨极速提现汇总 🚊26年度6月丨巅峰收益档案 🚊26

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9 Sept 2026, 07:29 UTC≈23,600 views150 reactionsread 10 September 2026
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🇲🇾马来西亚拟对网络诈骗下重手,警方建议加入鞭刑,法律部长公开支持 马来西亚首相署(法律及体制改革)部长拿督斯里阿扎丽娜·奥斯曼·赛义德表示,支持马来西亚皇家警察(PDRM)提出的加重网络诈骗刑罚建议,包括对相关罪犯施以鞭刑。 她指出,打击网络诈骗不能只依赖加重刑罚,金融机构也必须承担更大责任,加强对可疑交易的监控与防范。 阿扎丽娜今日在亚洲国际仲裁中心(AIAC)为《2026年政治资金公约》主持推介礼后接受媒体访问时说,她已经看过警方提出引入鞭刑的建议,并认同应对涉及诈骗的罪行采取更严厉的惩罚。 “我曾多次在国会内外表示,其中一项策略是让接收诈骗资金的银行承担责任。” 她说,银行不应将诈骗造成的全部损失简单转嫁给客户,尤其是在客户银行账户遭他人滥用的情况下。 “如果有人利用受害者的银行账户,银行不能只是简单地说‘风险自负’。如果真是这样,人们还不如把钱藏在床垫底下。” 阿扎丽娜指出,尽管马来西亚国家银行已发布多项

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9 Sept 2026, 07:21 UTC≈23,800 views203 reactionsread 10 September 2026
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#网友投稿 无义必然无情 我们这几个被抓的人正关在金边看守所被金边政府诉讼中罪名是洗钱,我们当时被抓的是五个人,被抓后我们大哥说这个事情不大答应过很快就能把我们救出去。 气死人的是大哥确实救了一个人出去是他表弟,让剩下的我们四个人金边法院在九月份就要判我们刑了大哥就玩消失彻底放弃了救我们。 我大哥是专业在东南亚洗钱有六七年了,前两年从菲律宾马尼拉的洗钱窝点搬到柬埔寨来的,我大哥还和之前马尼拉的洗钱头目绰号肥龙是亲密战友。 肥龙是国内外千人洗钱集团的老板红色通缉犯,早就被国内警察联合菲律宾警察在马尼拉上门抓走回国不是判死刑就是无期徒刑。 我们这几个要在金边判刑的人里面有个是跟过肥龙后面再跟着我大哥来柬埔寨做事的大哥都不救那只能鱼死网破,这位手里存有大哥和肥龙一起共事洗钱犯罪的大把账户资料和视频记录,我们会让国内的亲戚帮忙提供给警方,到时让大哥在柬埔寨也冠上一个红色通缉犯的称号,就算不能是红色通缉犯也得是个网逃重犯,哪一天被

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9 Sept 2026, 07:13 UTC≈19,400 views151 reactionsread 10 September 2026
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#网友反馈:越南胡志明“9郡 GH2 S605”这里现在有警察在检查,在这附近的兄弟注意了!

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Showing the 12 most recent of 839 posts we hold for @newscn2. 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

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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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚缅北新闻曝光电子” (@newscn2), 468,262 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/newscn2.

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.