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Channel

缅甸新闻-缅北新闻-缅东新闻-东南亚新闻🇲🇲

@lvpsw

Has discussion group2 usernames

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

10,303subscribers

+10,228 since we began measuring on 22 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002294114894
TypeChannel
Usernames@lvpsw @sfofo
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 August 2026
Last confirmed live15 September 2026
Measurements held20
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/lvpsw

Topic

International 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 67% 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.

Previous handles

@lvpsw was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@kiw888
held 5 September 20265 September 2026

Growth

7510,3035,18922 August 2026 — 75 subscribers23 August 2026 — 75 subscribers30 August 2026 — 10,159 subscribers31 August 2026 — 10,165 subscribers1 September 2026 — 10,154 subscribers3 September 2026 — 10,165 subscribers4 September 2026 — 10,178 subscribers5 September 2026 — 10,218 subscribers5 September 2026 — 10,218 subscribers5 September 2026 — 10,218 subscribers7 September 2026 — 10,263 subscribers7 September 2026 — 10,290 subscribers8 September 2026 — 2,756 subscribers10 September 2026 — 10,298 subscribers10 September 2026 — 10,294 subscribers12 September 2026 — 10,296 subscribers12 September 2026 — 2,344 subscribers14 September 2026 — 10,299 subscribers14 September 2026 — 10,300 subscribers15 September 2026 — 10,303 subscribers22 August 202615 September 2026
20 measurements spanning 25 days, net +10,228. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 23:1710,303+3
14 Sept 2026, 17:3710,300+1
14 Sept 2026, 06:3710,299+7,955
12 Sept 2026, 23:572,344-7,952
12 Sept 2026, 15:2210,296+2
10 Sept 2026, 21:5810,294-4
10 Sept 2026, 10:5910,298+7,542
8 Sept 2026, 16:162,756-7,534
7 Sept 2026, 23:2110,290+27
7 Sept 2026, 05:1610,263+45
5 Sept 2026, 19:2210,218no change
5 Sept 2026, 18:4710,218no change
5 Sept 2026, 18:2210,218+40
4 Sept 2026, 10:0010,178+13
3 Sept 2026, 01:4710,165+11
1 Sept 2026, 21:1610,154-11
31 Aug 2026, 20:3610,165+6
30 Aug 2026, 17:0410,159+10,084
23 Aug 2026, 07:2375no change
22 Aug 2026, 11:0075first reading

Engagement

28 posts held, back to 22 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 3 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.5%
avg views ÷ 10,303 subscribers
Avg views / post
3,250
28 posts measured
Reaction rate
3.59%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 17 of 28 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 September 2026
Posts held28 (22 August 20265 September 2026)
Views total90,873
Reactions total2,901
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 19:22 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

Video runtime
1m 57s
Average length
20s

Measured directly from 6 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

2,901 reactions across 17 posts, in 21 distinct kinds. The most used accounts for 13.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🖕39313.5%
🥱30410.5%
💔2769.51%
💩2538.72%
🍌2177.48%
😢2026.96%
🤮1886.48%
😈1735.96%
👎1685.79%
😡1234.24%
🤬1083.72%
💯1043.58%
🎉822.83%
❤‍🔥722.48%
👍642.21%
🔥461.59%
🤩381.31%
341.17%
😍331.14%
🥰220.758%
1 further kind10.034%

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 17 of the 28 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 2,901 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 22 August 2026 to 5 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

5 Sept 2026, 18:44 UTC≈5,250 views201 reactionsread 5 September 2026
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#KNLA第5旅指BGF领导人索穆懂迁居米斋山脚不利地区稳定 (木桶将军) 克伦民族解放军(KNLA)第5旅表示,遭泰国通缉的克伦边防军(BGF)领导人索穆懂上校,近日率约300名兵力迁入穆特劳县米斋山脚定居,此举对当地长远稳定并非好兆头。 第5旅发言人指出,该区域此前数月战事激烈,索穆懂携问题而来并在此扎根,恐引发更多矛盾,对地区及他本人都无益处。 索穆懂因涉嫌跨境人口贩运等罪行,于今年7月被泰国当局通缉,去年10月遭欧盟制裁。其目前正向周边村民提供食品和修路援助,但KNLA认为这无助于真正实现和平稳定。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

🍌45💔45🥱42🤮37👎32

5 Sept 2026, 18:44 UTC≈3,160 views200 reactionsread 5 September 2026
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#佤邦果敢地区出现收购身份证信息现象 据Wa News Land报道,在佤邦(UWSA控制区)和果敢(MNDAA控制区)等地,有中国老板以每张身份证100元人民币(约6.5万缅元)的报酬,诱使民众提供身份证信息并拍照,声称用于开通中国电话卡。 当地居民称,过去几年此类现象一直存在,山区常有中介游说。尽管民众不清楚信息最终用途,但因经济困难,仍有人愿意配合。 另有消息指,一张缅甸身份证最多可绑定三张中国手机卡,中方商人可能因此大量收集。此外,东枝市也出现以开银行账户为名收集身份证照片后转售诈骗集团的情况。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

💔52🍌39🖕38🤬37💩34

5 Sept 2026, 17:37 UTC12 views200 reactionsread 5 September 2026
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这两个人刷屏传播负能量周奖励取消这,笔资金小编也不要凌晨六点的时候给大家以会员方式派发抽奖,中奖的人员记得感谢他两的赞助 关注频道 @sfofo 吵群交流 @hgfh23241

😈45💔44🥱41🤬38😢32

5 Sept 2026, 17:12 UTC≈5,950 views202 reactionsread 5 September 2026
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📢📢📢 活动返场 🌈9-7日至9-13日周发言奖励 🪙周发言第1名奖励 🪶55U🪶 🪙周发言第2名奖励 🪶 33U🪶 🪙周发言第3名奖励 🪶22U🪶 🎁周发言第4-5名奖励 🪶一个月✈️会员🪶 🎁第7-10名也不要气馁 奖励 🪶群管理员至高无上权限🪶 传播负能量取消参赛资格 🦇再接再厉🦇 (以上所有奖励需满足当周3000条发言,禁止水群) (两个号的炒群的家人,可以加在一起计算排名) 频道 @lvpsw @kiw888 @sfofo 交流群 @hgfh23241

😡45🤮43🖕42🥱37💩35

5 Sept 2026, 16:18 UTC≈5,570 views200 reactionsread 5 September 2026
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#网友曝光 这个中国人跟一个女人在一起3个月,然后没有钱给人家,后面人家有小孩了,他准备发工资,那个男人联系不上他,然后什么都换了。 现在我希望如果有人看到那个男人,不要跟他在一起,他是一个骗人。 跟女人在一起怀孕了不管人家,还跟别人女人做爱,希望妹妹看到这个男人小心一点,他是骗人。 ps:说白了,让人包养三个月,然后被白嫖了,还买一送一了,😂😂 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

🖕43😢43🥱40😡40💩34

5 Sept 2026, 15:41 UTC≈5,540 views200 reactionsread 5 September 2026
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#泰缅边境诈骗园区转型与现状 背景与现状 园区瓦解与转移: 受军政府打击及武装冲突影响,泰缅边境(妙瓦迪、KK园区等)的大型中国诈骗园区纷纷瓦解,被迫向深山老挝、柬埔寨及泰国城镇转移。 本土化与散落化: 许多缅甸籍劳工离职返乡,或潜逃至泰国。由于害怕国内强征兵役,他们通过网络串联,在孟邦、克伦邦或泰国租住房内进行小规模、独立式的网络诈骗。 产业链降级: 过去依附园区的庞大服务链(如中介、餐饮、外卖、水电工)随之消散,未转移者只能流落为单干散户。 跨国连带: 老挝境内的诈骗活动在经历上个月的打击后近期再次死灰复燃,其中仍以缅甸籍劳工为主,当地正计划每月进行3次突击稽查。 ps:抓不完的 ,现在大部分都做 居家。😂😂 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

😈53💔40💩38🖕36🤬33

5 Sept 2026, 15:41 UTC≈5,540 views200 reactionsread 5 September 2026
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#网友提醒 在瓦城这个酒店里上班的朋友们快撤 Facebook贴爆料:这些中国人在当地酒店开设电信诈骗、网赌及毒品窝点 据知情人士透露,位于曼德勒市玛哈昂咩镇区(Mahaaungmyae Township),介于37条街与38条街之间的 78条街上的 Hotel Maxrus 内,有中国公民长期盘踞并运营电信诈骗、毒品贩卖、网赌及卖淫等违法活动,引发当地居民强烈不满与抗议 该酒店底层设有毒品与酒吧业务,楼上则长期进行网赌、电诈等犯罪活动,主要由中国籍人员主导经营。知情者指出:“由于涉及网赌、毒品及地下钱庄,导致人命案和财产损失频发,但即使家属去报案也无人处理。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

🖕58😢40🥱37🤮33👎32

5 Sept 2026, 15:19 UTC≈5,750 views400 reactionsread 5 September 2026
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#佤邦向果敢同盟军移交一名逃犯 佤邦联合军(UWSA)9月5日通报,已逮捕一名逃至佤邦的犯罪嫌疑人,并于4日移交果敢同盟军(MNDAA)。 此次行动系应果敢方面请求,但未公布该人涉案细节。佤邦表示此举体现双方共同打击跨境犯罪的决心,重申对违法犯罪“零容忍”。8月22日,两武装组织曾签署禁毒、打拐等领域合作备忘录。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

🖕88🍌86💩81😈75👎70

5 Sept 2026, 15:19 UTC≈5,540 views201 reactionsread 5 September 2026
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#网友吐槽:曾经的亚博也是这个行业数一数二的公司了 现在怎么就沦落到这个地步了呢?工资延迟发放,提成是一拖再拖,从月末拖到下月初,又从下月初拖到月中,这玩法套路也就无敌了。 现在公司各种各样的罚款是一大堆,一见到罚款就立马扣除,那为什么发福利的时候没有那么积极呢?发不起福利就不要画饼恶心人。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

😢51🖕45😡38🥱34🤮33

5 Sept 2026, 15:19 UTC≈5,510 views200 reactionsread 5 September 2026
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#缅甸新闻 “平安澜湄2026”持续推进 澜湄执法合作中心赴缅甸直查涉诈窝点 8月24日至28日,澜湄执法合作中心工作组赴缅甸,实地了解“平安澜湄2026”联合行动进展,泰国皇家警察一名警务专家一同参加。 工作组在内比都与缅甸警察总部及禁毒、反人口贩运、刑侦、打击跨国犯罪等部门会谈,重点讨论电信网络诈骗、毒品贩运、人口贩运等跨境犯罪,并梳理涉诈园区和窝点清剿情况。 随后,工作组前往缅甸刑侦局司法物证鉴定中心,了解电子物证提取和刑事技术应用;在勃固省考察综合检查站,了解违禁品查缉和一线执法装备使用情况。 此次行程的重点之一是在仰光省实地查看已经查获的涉诈窝点,了解窝点清剿、诈骗作案方式以及涉案通信设备扣押情况,并交流后续勘验和处置流程。 “平安澜湄2026”联合行动由中国、柬埔寨、老挝、缅甸、泰国和越南六国执法部门共同参与,重点打击电信网络诈骗、毒品、人口贩运等跨境犯罪。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw

💔52🖕43🥱36😢36👎33

5 Sept 2026, 14:15 UTC≈5,560 views200 reactionsread 5 September 2026
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#柬埔寨为何拉拢中国投资者 9月3日,柬埔寨发展委员会第一副主席孙占托表示,他将率代表团前往中国厦门和深圳开展招商,旨在吸引更多中国投资流入柬埔寨。 孙占托在当天与投资者、企业家及中国企业代表的会面中作出上述表示,会谈时中国驻柬埔寨大使亦出席。 孙占托并强调,政府将清理网络诈骗等问题以保障投资环境和信心。商业与经济专家指出,柬埔寨积极争取中国投资, 一方面是因为中国敢于投入大额资金且通常不附带复杂政治条件;另一方面,柬埔寨因资源和竞争力有限,目前从欧洲等地获得的投资仍然不多 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

🍌47💔43🤮42🥱37💩31

5 Sept 2026, 13:06 UTC≈5,020 viewsread 5 September 2026
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#国际反诈会议召开在即 彰显柬埔寨清剿电诈决心 柬埔寨将于9月23日至24日主办打击网络诈骗国际会议。柬打击网络诈骗特别委员会秘书处副秘书长泰阿斯那利表示,主办此次会议旨在向全球展示柬埔寨坚决打击跨国网络电诈、绝不妥协与退缩的政治决心。 据悉,本次会议将汇聚各国政府、执法机构、金融机构及科技公司代表,共同分享反诈经验。 柬埔寨官方强调,电诈是复杂的跨国挑战,没有任何国家能单打独斗,需通过国际合作与信息共享共同破除犯罪链条,打造安全的数字环境。 🥰欢迎订阅东南亚新闻 📰频道 @lvpsw 🕵️‍♂️暗网 @hgfh23241 ✍️小编 @dongzi16 🌟表情包导航 💜交流群导航 🫡吃瓜

Showing the 12 most recent of 28 posts we hold for @lvpsw. 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“缅甸新闻-缅北新闻-缅东新闻-东南亚新闻🇲🇲” (@lvpsw), 10,303 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/lvpsw.

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.