Telegram RegisterThe public register of Telegram

Channel

缅甸缅北东南亚新闻曝光

@nx123

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

808,221subscribers

+36,389 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-1001523597553
TypeChannel
Username@nx123
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/nx123

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 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
@nx123/38128 · this entry7 Aug 2026, 07:29 UTC@newscn2/283797 Aug 2026, 07:29 UTC1.00under a minute
@newscn2/283817 Aug 2026, 07:48 UTC@nx123/38130 · this entry7 Aug 2026, 07:48 UTC1.00under a minute
@newscn2/283837 Aug 2026, 07:56 UTC@nx123/38132 · this entry7 Aug 2026, 07:56 UTC1.00under a minute
@newscn2/283867 Aug 2026, 07:57 UTC@nx123/38135 · this entry7 Aug 2026, 07:57 UTC1.00under a minute
@newscn2/283877 Aug 2026, 07:57 UTC@nx123/38134 · this entry7 Aug 2026, 07:57 UTC1.00under a minute
@newscn2/283917 Aug 2026, 07:57 UTC@nx123/38140 · this entry7 Aug 2026, 07:57 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@newscn211 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (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. 1 of the 1 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 14 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 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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

771,832811,058791,4457 August 2026 — 771,832 subscribers8 August 2026 — 776,203 subscribers9 August 2026 — 773,024 subscribers10 August 2026 — 774,067 subscribers11 August 2026 — 811,058 subscribers12 August 2026 — 808,221 subscribers808,2217 August 202612 August 2026
6 measurements spanning 5 days, net +36,389. 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 765,948–816,942 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:53808,221-2,837
11 Aug 2026, 18:57811,058+36,991
10 Aug 2026, 21:28774,067+1,043
9 Aug 2026, 19:42773,024-3,179
8 Aug 2026, 20:12776,203+4,371
7 Aug 2026, 22:47771,832first reading

Engagement

125 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.43%
avg views ÷ 808,221 subscribers
Avg views / post
27,700
125 posts measured
Reaction rate
4.78%
reactions ÷ views · ER floor
Posts in window
125
of 125 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held125 (7 August 202612 August 2026)
Views total3,465,010
Reactions total165,786
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:37 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
3m 47s
Average length
45s

Measured directly from 5 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

165,786 reactions across 125 posts, in 17 distinct kinds. The most used accounts for 64.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍106,44564.2%
💯10,1826.14%
🏆7,0904.28%
👌6,8734.15%
4,5362.74%
🔥3,8312.31%
🤡3,3822.04%
🤩3,3061.99%
🌭3,2371.95%
🐳3,1781.92%
🕊3,1731.91%
😍2,9741.79%
🥰2,8531.72%
🎉2,8171.70%
😁7580.457%
👏6530.394%
🤗4980.3%

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 125 of the 125 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 165,786reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 125 most recent posts we hold, published 7 August 2026 to 12 August 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

12 Aug 2026, 17:05 UTC≈3,780 views30 reactionsread 12 August 2026

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12 Aug 2026, 16:17 UTC≈9,310 views212 reactionsread 12 August 2026
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12 Aug 2026, 16:06 UTC≈10,200 views181 reactionsread 12 August 2026
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12 Aug 2026, 16:05 UTC≈10,400 views249 reactionsread 12 August 2026
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12 Aug 2026, 16:05 UTC≈10,200 views223 reactionsread 12 August 2026
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12 Aug 2026, 16:05 UTC≈10,300 views275 reactionsread 12 August 2026
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12 Aug 2026, 16:05 UTC≈10,300 views188 reactionsread 12 August 2026
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12 Aug 2026, 16:05 UTC≈10,300 views241 reactionsread 12 August 2026
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12 Aug 2026, 14:56 UTC≈16,700 views506 reactionsread 12 August 2026
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🇮🇩 印尼暂停向约150万涉网赌家庭发放社保救助金 印尼社会事务部近日宣布,因经与金融交易报告和分析中心(PPATK)数据比对发现,约150万个受资助家庭的账户涉嫌参与网络赌博交易,当局已暂停向其发放基础食品计划等社会救助金。 社会事务部长赛福拉表示,受影响家庭包括近80万个极贫困家庭,目前资金已被冻结并接受调查。这一数字较2025年的60万户大幅增加。政府正核实资金滥用情况,并将以此更新国家社会经济数据库(DTSEN),同时联合多部门加大清查及宣传力度,防止极贫群体陷入网赌泥潭。&& 越穷越赌,越赌越穷? 🔔缅甸缅北东南亚新闻曝光 ↓ ➡️ 关注 @nx123(主频道) 🤐粉丝投稿 : @nnnnj

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12 Aug 2026, 14:03 UTC≈19,700 views554 reactionsread 12 August 2026
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#群友投稿:特区没有爱 老挝没有雪 今年3月份,初次踏入特区,泰北气候,赵伟的管辖范围,一切都很人性化,灰产界的一股清流,相对友好的物价,不能禁足的公司规矩、很自由,最香的当然是老挝妹。 于是在大门口等外卖的时候遇到了阿芳,168的身高,长得不算特别精致,前凸后翘全部原装,最重要是好相处的性格(前提是你得长得跟我一样帅)于是非常简单直接的加了ws,当时给我安排的是单间配置,所以约出来吃了顿烧烤喝了点酒就确认了男女朋友关系,非常的甜蜜,跟女朋友做爱的感觉是跟大家会所嫩模完全不一样的,懂的都懂,又紧又香又白又嫩……后来因为必须得回国安排些家事再出来,于是我回去了两个星期左右。 回来时很开心小别胜新欢,有时间的时候都会在一起,忽然有一天,她跟我说她怀孕了,我又惊喜又意外,这里配上图,于是我性格比较的佛系,可能也是非常喜欢小孩,于是建议她生下来,她就直接决绝掉了,再三逼问下,弄清楚了,tm老子被绿了!!! 老挝妹玩玩就好了,兄弟们别

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12 Aug 2026, 12:56 UTC≈17,800 views450 reactionsread 12 August 2026
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#网友反馈:8月12日开始,金三角特区内针对受举报的公寓进行检查 老挝治安局,老挝公安,中国便衣,12日12点抽查桐琴水岸,金水湾,梅陇湾,凤凰城,携带人脸扫描机器,检查住是否存在办公设备,三证是否齐全,以上四处收到举报较多,为重点检查目标,疑有上榜名单,包括万国公寓,唐人国际,山上酒店,大黄楼均在检查范围 检查截止到本月17号,部分物业已经通知也进行内部检查了,特内打野的都注意安全,这次行动力度不小。 🔔缅甸缅北东南亚新闻曝光 ↓ ➡️ 关注 @nx123(主频道) 🤐粉丝投稿 : @nnnnj

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12 Aug 2026, 12:39 UTC≈18,000 views506 reactionsread 12 August 2026
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#突发事件:老挝万象雅典公寓被围了,直接来了2卡车宪兵队。 这波最少要抓几十个狗推~~ 🔔缅甸缅北东南亚新闻曝光 ↓ ➡️ 关注 @nx123(主频道) 🤐粉丝投稿 : @nnnnj

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Showing the 12 most recent of 125 posts we hold for @nx123. 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.

Citation-graph rank

Citation-graph rank — 1,085,919 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“缅甸缅北东南亚新闻曝光” (@nx123), 808,221 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/nx123.

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.