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Channel

东南亚大事件-情报局

@p5559

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

194,747subscribers

-16,431 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001883274576
TypeChannel
Usernames@p5559 @tx969
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #越南 #马来 #新加坡 #斯里兰卡 #东南亚大事件频道 #专注于东南亚华人 #最新动态资讯 #生活故事分享 #海外华人求助 #让你看尽海外 #华人大小事。 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~避免我们的评论区火药味变得更重。本频道鼓励尊重友好的交流方式,进一步发表有意义的评论内容。 投稿:@tx9695
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held123
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/p5559

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 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 12 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@p5559/148628 · this entry23 Aug 2026, 16:58 UTC@dubaixinwen2/2544025 Aug 2026, 13:36 UTC1.0045 hours
@p5559/149878 · this entry31 Aug 2026, 20:18 UTC@dubaixinwen2/255793 Sept 2026, 11:02 UTC1.003 days
@p5559/151050 · this entry8 Sept 2026, 19:02 UTC@dubaixinwen2/2570711 Sept 2026, 09:06 UTC1.003 days
@p5559/151924 · this entry14 Sept 2026, 18:18 UTC@dubaixinwen2/2581817 Sept 2026, 13:23 UTC1.003 days
@p5559/154432 · this entry4 Oct 2026, 08:27 UTC@dubaixinwen2/261485 Oct 2026, 13:12 UTC1.0029 hours
@p5559/154504 · this entry4 Oct 2026, 17:16 UTC@dubaixinwen2/261496 Oct 2026, 03:21 UTC1.0034 hours
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
@dubaixinwen226 (8/8 hand-verifiable sample passed)1.0045 hoursthis entry (25–1)
@bbsooo19 (8/8 hand-verifiable sample passed)1.0078 minutes@bbsooo (10–9)
@blj1118 (8/8 hand-verifiable sample passed)0.992.7 hoursthis entry (18–0)
@dibai818 (7/8 hand-verifiable sample passed)0.981.9 hours@dibai8 (18–0)
@cgssbb18 (8/8 hand-verifiable sample passed)1.0085 minuteseven
@daxxx17 (7/8 hand-verifiable sample passed)1.001.8 hours@daxxx (17–0)
@sssvip413 (7/8 hand-verifiable sample passed)0.9985 minutes@sssvip4 (8–5)
@TGHH6613 (6/8 hand-verifiable sample passed)1.0027 hoursthis entry (13–0)
@xg_cdj11 (8/8 hand-verifiable sample passed)1.002.4 hoursthis entry (11–0)
@XGRIJI10 (6/8 hand-verifiable sample passed)1.0063 minutes@XGRIJI (8–2)
@SB91910 (8/8 hand-verifiable sample passed)0.9373 minutes@SB919 (10–0)
@newsworldcn10 (7/8 hand-verifiable sample passed)0.9914 hoursthis entry (10–0)

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. 176 of the 176 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 1,687 comparable posts for this entry, running 7 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).

Of the group of 5 channels, the one whose matching posts we hold earliest is @p5559 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, 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.

Channels linked by matching posts

This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

163,713215,327189,520194,7477 August 202610 November 2026
123 measurements spanning 95 days, net -16,431. 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 155,971–223,069 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 123
Measured (UTC)SubscribersChange
10 Nov 2026, 01:09194,747-105
9 Nov 2026, 17:37194,852-279
8 Nov 2026, 19:09195,131-126
8 Nov 2026, 06:21195,257+2,933
7 Nov 2026, 08:37192,324+4,532
6 Nov 2026, 22:00187,792-104
6 Nov 2026, 10:39187,896-120
5 Nov 2026, 19:06188,016-56
5 Nov 2026, 11:15188,072-178
4 Nov 2026, 17:54188,250-31
4 Nov 2026, 12:48188,281+8,823
3 Nov 2026, 18:10179,458-166
3 Nov 2026, 10:29179,624-246
2 Nov 2026, 19:57179,870+16,157
2 Nov 2026, 13:27163,713-86
1 Nov 2026, 22:15163,799-8,573
1 Nov 2026, 11:58172,372-12,458
31 Oct 2026, 19:00184,830-45
31 Oct 2026, 14:28184,875-231
30 Oct 2026, 19:38185,106first reading

Engagement

2,103 posts held, back to 7 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.49%
avg views ÷ 194,747 subscribers
Avg views / post
4,840
647 posts measured
Reaction rate
0.07%
reactions ÷ views · ER floor
Posts in window
647
of 2,103 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 578 of 647 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 held2,103 (7 August 2026 – 10 November 2026)
Views total3,134,657
Reactions total1,778
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:31 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
≈83,600
Videos
≈70,900
Links
≈8,670

Lifetime counters from Telegram’s own channel header, read 11 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
4h 10m
Average length
1m 10s

Measured directly from 215 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

2,824 reactions across 914 posts, in 9 distinct kinds. The most used accounts for 33.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 546566665808747607194933.6%
custom 545644178559520633091632.4%
custom 526512002785348118788731.4%
custom 5463128950890831201240.85%
custom 5454327849936755071190.673%
custom 5197247368344379154110.39%
custom 5242306849499258300100.354%
custom 545622034567135964440.142%
custom 545872486995067706240.142%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 914 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 2,824 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 26 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.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
5
of 1,000 we hold a reading for · 0.5%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @p5559. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 26 September 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 647 posts held from the last 30 days (1.08%) 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, 20:12 UTC269 views3 reactionsread 11 November 2026
Video

#深夜吃瓜:金三角特区军营烧烤,一名中国男子喝多了闹事打人,喊打喊杀的,目前治安局已到达现场,枪都掏出来了! 特区乱不乱 中国人说了算…中国人的尿性大家都懂 喝了点马尿 地球🌏都是他说了算 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 18:49 UTC366 views3 reactionsread 11 November 2026
Photo

#网友曝光:天成担保,跑路仲裁拖3-7天,拖完后不赔,不仲裁,真恶心,大家担保以后不要在天成,完全就是骗子担保,先忽悠你,拖到第七天把你踢了,不管事,不受理,什么都提供了,5万,给你买棺材吧 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 18:09 UTC382 views3 reactionsread 11 November 2026
Photo

#网友曝光:几个猪狗不如的东西,阿东哈尔滨人无护照,大全哈尔滨人无护照,阿浩哈尔滨人无护照。原来在凯旋国际出码,后来在海悦国际、蓝色海湾,他俩卖人无数卖自己同胞。出码还不上钱或者还上了钱也被阿东大全卖了,帮他们看人他们不给工人开工资,一天50美金都不给就欠着,好多兄弟吃不上饭没地方住,管他要钱都是已读不回不管,跟别人说他给这个1000那个500其实一分没给。拿着兄弟的钱找小姐赌博,自己跟大全阿浩天天吸毒然后各种骗钱。 跟他们合作要注意,自己租个别墅放出码的人。人家输了1万还了1万美金还让人家还5万,不还就打折磨要杀人,后来有一个人实在受不了从楼上跳下来去了警察局,后来警察把别墅里的人都抓走了。阿东大全阿浩跑了,现在还在西港,兄弟为了他进去一分钱不存也不管,天天吸毒找小姐赌博。原来别墅里抓的那些人,幕后阿东是大老板,大全小老板,阿浩忠诚小弟。希望你马上还钱还我血汗钱。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 17:55 UTC338 views3 reactionsread 11 November 2026
Photo

#网友曝光:忘恩负义阿广,吴泽鹏,广东人,现居吉隆坡。此人品行恶劣,多次辜负帮助过他的兄弟。早年落魄时曾有人两次出资将其从园区救出,并提供业务支持助其生计。但他知恩不报,早年曾卷走承兑汇票跑路,近期又骗取身边信任他的兄弟800多USDT,得手后失联装傻。阿广惯于利用善意,背信弃义,专坑恩人。在此提醒所有人避雷吉隆坡阿广,此人精致利己毫无底线,谁帮他谁倒霉,谁信他谁吃亏,透支信任与情义终将自食恶果。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 17:45 UTC≈15,100 views3 reactionsread 11 November 2026
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条子已抵达金三角特外! 群友投稿:金三角特外和会塞已经来了很多老挝其他省份警察了,异地用警,马上要开展联合执法! 特外暂时是待不了,停工撤离! 3天一小差,5天一大查,回国吧~

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10 Nov 2026, 17:20 UTC326 views3 reactionsread 11 November 2026
Video

#群友反馈:西港日月兴赌场路段,宪兵设卡查车,查毒品,违禁作,吓得楼上的推推闻风而逃。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 17:02 UTC334 viewsread 11 November 2026
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#老挝资讯:警方打掉万象网络犯罪窝点,抓获13名孟加拉籍嫌疑人! 老挝媒体报道: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 大事件➡️ @tx969 投稿➡️@tx9695

10 Nov 2026, 16:49 UTC524 views3 reactionsread 11 November 2026
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厦门🐔,人在泰国 飞机名元英 用户名@yuanying5588 抖音号xiaokeke33333 天天在法庭开人家的户,这下被人家开她的户,小道消息跟哪个日成有一腿,不知道你老公看见作何感想呢,后续所有资料会陆续更新。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 16:37 UTC333 views3 reactionsread 11 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。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 16:21 UTC≈17,200 views3 reactionsread 11 November 2026
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#群友投稿:快到年底了,还在东南亚坚持的人,还有多少? 时间过得真快,感觉年初还没过去多久,转眼又到了年底。这一年,东南亚的变化确实不小。从柬埔寨到缅甸,从菲律宾到老挝,再到马来西亚,清查、整顿、突击行动接连不断,各个地方的风声一直很紧。 以前热闹的街道,如今冷清了不少;以前熟悉的市场,也没有了往日的景象。园区清零、人员撤离、公司没了,这些事情几乎成了这一年的常态。 一年的时间,说长不长,说短也不短。还在这里的人,或许已经习惯了这种环境,但外面的变化,谁也无法忽视。 岁月如梭,寒来暑往,一转眼又是一年。现在再问一句,东南亚还适合留下来吗?

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10 Nov 2026, 14:22 UTC61 views3 reactionsread 10 November 2026
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#网友曝光:这个人叫代号叫木子,也叫老黑,福建厦门人,之前是世纪万安的代理,后面去了亚太,11月6日,他联系我说他爸爸噶了,需要急着回去,我在亚太大酒店接到他,出于信任给他边境到付 第三天的晚上,然后我叫他付款路费,他说把我的地址已经发给他公司管理,等到第二天中午,他说他的飞机被被别人盗取了,他的管理把钱转给他骗子,然后他说他只能叫家里人联系重新打路费,一拖再拖 跑我6500u 在11月10号今天中午在云南边境,司机给他拿饭他跑了,我想说的是你丢了福建人的脸,这么一点钱,你爸爸死了,筹路费凑了两三天,这种垃圾狗,难怪公司不管你,没有信任,谁会出来给你做事 难怪招不到员工,不管出于什么原因,你tm的跑路费,cnm,我会把你的照片所有资料发给国内,发到各大网上,你等着吧。 大事件➡️ @tx969 投稿➡️@tx9695

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10 Nov 2026, 14:12 UTC112 views3 reactionsread 10 November 2026
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#网友曝光:#欠钱不还 这个名字叫天乐当阳人之前在亚太认识的打麻将欠别人钱我帮他先付结果说好的发工资还结果一消失就是一年现在限你三天内联系我还钱不然你吸毒的视频和照片你就等着你家人看到吧,现在给你机会不发照片和视频,我的耐心有限,要还钱找小编要我的纸飞机 大事件➡️ @tx969 投稿➡️@tx9695

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Showing the 12 most recent of 2,103 posts we hold for @p5559. 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 14 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

东南亚大事件 @svip
@bx666 · 462,405
#1
文案库(治愈、励志、情感)
@wenanku · 60,017
#2
柬埔寨華人信息
@jpz_888 · 12,142
#3
内涵段子 🔥搞笑视频 天🌐下
@neihanduanzi1 · 190,731
#4
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 43,983
#5
东南亚大事件🅥
@dashijianx · 203,778
#6
海外素材库
@sucai1 · 58,856
#7
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,323
#8
奇趣百科💥
@qiqubaikeo · 2,734
#9
奇闻百科 🇨🇳
@qwbik · 2,415
#10
Ai发布(全网吃瓜资讯)
@Aifabu · 968
#11
奇趣百科
@YSTY1 · 4,393
#12
东南亚新闻大事件
@xigang8688 · 9,898
#13
💯【佳佳】美食素材圈💯
@sucai177 · 97,443
#14
内涵段子🔥搞笑视频
@nh888 · 160,341
#15
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,969
#16
吃瓜中心/搞笑段子/奇趣百科
@chiguaCCTV · 1,216
#17
内涵搞笑🫥
@chiguahs · 107,687
#18
吃瓜群众🍉
@chigua2022 · 190,073
#19
东南亚🇨🇿今日头条
@huohu158 · 179,866
#20
东南亚新闻丨曝光丨悬赏
@bgggg2o · 848
#21
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 82,671
#22
海外大事件(猎奇-吃瓜)
@aa144 · 34,618
#23
马来西亚~柬埔寨~合喜刺青
@hexi8888 · 14,919
#24
柬城科技
@JCSVIPA3 · 611
#25
ABA Music Team音乐分享频道
@DJWEN666 · 1,146
#26

Read from Telegram’s recommendation API, most recently 11 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

文案库(治愈、励志、情感)
@wenanku · 60,017
Telegram ranks this channel #3 of 38 here — alongside 37 others — read 21 August 2026
东南亚大事件🅥
@dashijianx · 203,778
Telegram ranks this channel #6 of 41 here — alongside 40 others — read 11 August 2026
内涵段子 🔥搞笑视频 天🌐下
@neihanduanzi1 · 190,731
Telegram ranks this channel #12 of 44 here — alongside 43 others — read 11 August 2026
内涵段子🔥搞笑视频
@nh888 · 160,341
Telegram ranks this channel #28 of 49 here — alongside 48 others — read 12 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“东南亚大事件-情报局” (@p5559), 194,747 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/p5559.

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.