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Telegram profile photo for 木牌大事件|东南亚新闻

Channel

木牌大事件|东南亚新闻

@mpdsj

3 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

127,080subscribers

+2,536 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1001155407122
TypeChannel
Usernames@eiiqq @mpdsj @rroo1
Description#东南亚 #新闻 #柬埔寨 #木牌 #曝光 木牌大事件频道 专注于东南亚/柬埔寨地区最新动态资讯,生活故事分享,海外华人求助,让您了解海外华人生活趣事。 其他木牌大事件均为模仿盗版!请注意识别,防止被诈骗或敲诈勒索! ▪️投稿机器人: @mpdsjbot
CreatedBetween 1 September 2018 and 31 May 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live10 November 2026
Measurements held165
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/mpdsj

Topic

Gambling & betting — 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 12 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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.

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 in near-verbatim form 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@xw1836/4617727 Aug 2026, 14:10 UTC@mpdsj/34305 · this entry27 Aug 2026, 15:48 UTC1.001.6 hours
@xw1836/494038 Oct 2026, 12:26 UTC@mpdsj/37595 · this entry8 Oct 2026, 15:33 UTC0.923.1 hours
@mpdsj/33641 · this entry19 Aug 2026, 14:30 UTC@xw1836/4552819 Aug 2026, 16:11 UTC0.881.7 hours
@xw1836/4792318 Sept 2026, 13:46 UTC@mpdsj/36035 · this entry18 Sept 2026, 14:31 UTC0.7945 minutes
@xw1836/4804120 Sept 2026, 09:05 UTC@mpdsj/36145 · this entry20 Sept 2026, 09:25 UTC0.7020 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xw18365 (5/5 hand-verifiable sample passed)0.861.5 hours@xw1836 (4–1)

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. 4 of the 4 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 1,642 comparable posts for this entry, running 12 August 2026 to 10 November 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).

Recorded under the key clone_copy, last confirmed 11 November 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.

Growth

121,365131,301126,333127,08012 August 202610 November 2026
165 measurements spanning 90 days, net +2,536. 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 119,875–132,791 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 165
Measured (UTC)SubscribersChange
10 Nov 2026, 11:18127,080-828
9 Nov 2026, 20:49127,908-65
9 Nov 2026, 16:55127,973-504
8 Nov 2026, 23:08128,477+125
8 Nov 2026, 14:07128,352+952
8 Nov 2026, 10:59127,400+2,978
7 Nov 2026, 13:20124,422-117
7 Nov 2026, 10:47124,539-399
7 Nov 2026, 05:27124,938-959
6 Nov 2026, 11:39125,897-24
6 Nov 2026, 10:40125,921-322
6 Nov 2026, 03:37126,243-220
5 Nov 2026, 14:56126,463-202
5 Nov 2026, 09:49126,665-626
5 Nov 2026, 00:28127,291-46
4 Nov 2026, 13:10127,337-76
4 Nov 2026, 08:07127,413-623
4 Nov 2026, 01:51128,036-290
3 Nov 2026, 15:01128,326-65
3 Nov 2026, 08:18128,391first reading

Engagement

1,963 posts held, back to 12 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 186 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.31%
avg views ÷ 127,080 subscribers
Avg views / post
5,480
583 posts measured
Reaction rate
0.258%
reactions ÷ views · ER floor
Posts in window
583
of 1,963 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 570 of 583 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 November 2026
Posts held1,963 (12 August 2026 – 10 November 2026)
Views total3,193,639
Reactions total8,083
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 20:19 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
≈21,900
Videos
≈5,760
Links
≈4,870

Lifetime counters from Telegram’s own channel header, read 10 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
6h 44m
Average length
52s

Measured directly from 463 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

14,005 reactions across 980 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4,66233.3%
❤4,65933.3%
🔥4,65233.2%
🥰310.221%
💯10.007%

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 980 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 14,005 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 23 September 2026 to 10 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: 22 of 583 posts held from the last 30 days (3.77%) 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).

10 Nov 2026, 17:32 UTC≈10,900 views14 reactionsread 10 November 2026
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10 Nov 2026, 17:02 UTC≈10,800 views18 reactionsread 10 November 2026
Video

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10 Nov 2026, 16:03 UTC≈10,900 views14 reactionsread 10 November 2026
Video

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10 Nov 2026, 15:26 UTC550 views12 reactionsread 10 November 2026
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#突发事件:金边市铁桥头区一处穆斯林居民住宅突发火灾,现场火势猛烈。目前,起火原因及人员伤亡情况尚不清楚。 关注木牌大事件➡️ @mpdsj 投稿:@tt022

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10 Nov 2026, 15:16 UTC≈10,900 views13 reactionsread 10 November 2026
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突击检查!4名中国籍人员被捕,涉嫌非法捕捉珍稀野生动物,250多份标本遭查获! #斯里兰卡资讯:11月10日,斯里兰卡媒体报道,当地野生动物保护部门近日在辛哈拉加森林保护区(Sinharaja Forest Reserve)周边展开执法行动,成功逮捕4名中国籍人员,其中包括3名男子和1名女子。 据悉,执法人员在行动中查获超过250份动物及昆虫标本,涉及近40种不同物种。有关部门怀疑,4名嫌疑人未经许可,在当地非法捕捉、收集野生动物及昆虫,其中部分物种属于当地受保护的特有物种。 调查人员还发现,4名嫌疑人此前曾多次前往斯里兰卡。目前,执法部门正进一步核查其过往入境记录,以及是否涉及其他非法野生动物采集活动。 案件随后移交卡拉瓦纳地方法院处理。法院已下令将4名嫌疑人还押至11月23日,并要求将查获的动物标本送交国家博物馆进行鉴定,相关活体动物则将根据鉴定及评估结果决定后续处置方式。 目前,斯里兰卡有关部门仍在进一步调查此案…

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10 Nov 2026, 15:02 UTC≈10,800 views12 reactionsread 10 November 2026
Video

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10 Nov 2026, 14:45 UTC502 views15 reactionsread 10 November 2026
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10 Nov 2026, 14:35 UTC≈10,800 views19 reactionsread 10 November 2026
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警方打掉万象网络犯罪窝点,抓获13名孟加拉籍嫌疑人! #老挝资讯:11月7日晚,老挝公安部专项工作组突袭万象市赛色塔县洪素帕村一处出租屋,成功打掉一处网络犯罪窝点,当场抓获13名孟加拉籍嫌疑人(含1名女性)。 行动现场查获手机21部、台式电脑12台等作案工具。 目前,案件正在进一步侦办深挖中。 PS:中国推推全军覆没 最近抓的都是老外 关注木牌大事件➡️ @mpdsj 投稿:@tt022

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10 Nov 2026, 14:20 UTC≈10,800 views12 reactionsread 10 November 2026
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在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。 🔗 本频道专属邀请链接 https://t.me/sosoo?start=autopromo_-1001155407122_6058445193_e55e9812

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10 Nov 2026, 14:11 UTC≈10,800 views14 reactionsread 10 November 2026
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#网友爆料:此人早期盘踞柬埔寨从事军包诈骗、美国华侨诈骗,担任公司总负责人、大代理、主管等多种职务。 吉米(戴眼镜、一头白毛,福建漳州籍);公司老板:托尼,之前听说改名老K(福建漳州籍),长期在马来遥控操作指挥。 公司代理有:张帅、阿浩、大山、老游、阿财、小猪、阿进、阿东。 后台管理:阿浩、天赐、小凯。 集团大老板:三证集团老蒋(福建漳州籍)旗下分公司。 最开始军包公司在缅甸佤邦,后面因为缅甸严打,搬家到柬埔寨木牌园区,分为多个部门诈骗。每个月军包公司一个部门业绩至少3000万人民币打底,美国华侨公司业绩每个月至少2000万打底。 后面因为木牌出事后待不下去,搬家到财通5A园区和金湾园区继续从事诈骗。在财通5A园区,一名国内骗过来的小孩子因为数据不达标,被吉米、主管、组长以及其他的员工活活殴打致死。最后整个公司都被警察包围,公司搬家走到七星海园区。 到七星海园区也是无恶不作,导致很多国内骗招过来的小孩每天强制要求上…

🔥9❤4👍1

10 Nov 2026, 13:52 UTC450 views12 reactionsread 10 November 2026
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🇱🇦老挝警方捣毁万象网络犯罪窝点,16名日本籍嫌疑人被捕! 老媒报道:上周,老挝公安部专项工作组突袭万象市赛塔尼县纳隆村一处出租屋,打掉一处网络犯罪窝点,当场抓获16名日本籍嫌疑人。 行动现场查获手机55部、iPad 4台等作案工具。 目前,案件正在进一步侦办深挖中。 关注木牌大事件➡️ @mpdsj 投稿:@tt022

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10 Nov 2026, 13:41 UTC452 views14 reactionsread 10 November 2026
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假冒陈珊珊发WhatsApp 开口要5万令吉 有不法分子冒用马华柔佛再也州议员陈珊珊的头像与身份,用新手机号注册WhatsApp账号行骗。 骗子先以企业扶持政策作为开场白,见对方不感兴趣,随即换借口,谎称要帮忙转交给领导的礼金,领导外出视察不便携带现金,哄骗对方转账5万令吉至AmBank账户,承诺之后会还钱。 陈珊珊接获朋友通知后,已在脸书发文提醒民众。这名朋友察觉异样,没有转账,没有造成财物损失。目前暂未收到其他人被骗的消息,骗子获取联系人信息的途径还不清楚。 关注木牌大事件➡️ @mpdsj 投稿:@tt022

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Showing the 12 most recent of 1,963 posts we hold for @mpdsj. 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 3 posts on @mpdsj 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
30 August 2026
Most recent seen missing
3 October 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
0

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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“木牌大事件|东南亚新闻” (@mpdsj), 127,080 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/mpdsj.

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.