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Channel

东南亚大事件

@kanxia

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

437,687subscribers

-31,759 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-1001601253693
TypeChannel
Usernames@dnydsj @kanxia
Description#缅甸 #柬埔寨 #菲律宾 #迪拜 #东南亚 👉东南亚大事件,疑难杂症来问我 👉其他叫东南亚大事件的都是盗版 👍一直被模仿从未被超越。 ☎️商务爆料联系: @zhuanren This channel strictly abides by the relevant protocol guidelines of the Telegram community. False rumors and articles related to
CreatedBetween 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held126
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/kanxia

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 63% 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 3 other registered channels. 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
@kanxia/76658 · this entry25 Oct 2026, 13:22 UTC@dnydxw/3531325 Oct 2026, 16:21 UTC1.003.0 hours
@kanxia/77209 · this entry3 Nov 2026, 12:32 UTC@dnydxw/356203 Nov 2026, 12:49 UTC1.0016 minutes
@kanxia/77264 · this entry4 Nov 2026, 09:55 UTC@dnydxw/356784 Nov 2026, 09:56 UTC1.00under a minute
@kanxia/77269 · this entry4 Nov 2026, 10:41 UTC@dnydxw/356824 Nov 2026, 10:45 UTC1.004 minutes
@kanxia/77272 · this entry4 Nov 2026, 11:21 UTC@dnydxw/356844 Nov 2026, 11:21 UTC1.00under a minute
@kanxia/77284 · this entry4 Nov 2026, 14:05 UTC@dnydxw/357235 Nov 2026, 07:03 UTC1.0017 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
@dnydxw7 (7/7 hand-verifiable sample passed)1.004 minutesthis entry (7–0)
@dubaixinwen25 (5/5 hand-verifiable sample passed)0.962 daysthis entry (5–0)
@dibai85 (5/5 hand-verifiable sample passed)0.965.1 hours@dibai8 (5–0)

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. 5 of the 5 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 1,753 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).

Recorded under the keys clone_copy · 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.

Growth

418,973502,706460,839.5437,6877 August 202610 November 2026
126 measurements spanning 95 days, net -31,759. 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 406,413–515,266 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 126
Measured (UTC)SubscribersChange
10 Nov 2026, 21:10437,687-124
9 Nov 2026, 23:09437,811-111
9 Nov 2026, 07:10437,922-141
8 Nov 2026, 17:37438,063-157
7 Nov 2026, 23:57438,220-96
7 Nov 2026, 10:20438,316-140
6 Nov 2026, 18:48438,456-62
6 Nov 2026, 09:41438,518-83
5 Nov 2026, 21:26438,601-101
5 Nov 2026, 09:10438,702-48
5 Nov 2026, 00:36438,750-106
4 Nov 2026, 08:08438,856-79
3 Nov 2026, 23:49438,935+19,962
3 Nov 2026, 04:46418,973-30
2 Nov 2026, 22:29419,003-129
2 Nov 2026, 03:00419,132-1,139
1 Nov 2026, 20:54420,271-25,715
1 Nov 2026, 04:21445,986-11,067
31 Oct 2026, 21:15457,053-187
31 Oct 2026, 04:38457,240first reading

Engagement

1,983 posts held, back to 7 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.13%
avg views ÷ 437,687 subscribers
Avg views / post
13,700
515 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
515
of 1,983 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 493 of 515 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 held1,983 (7 August 2026 – 10 November 2026)
Views total7,051,353
Reactions total9,512
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 01:46 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
≈48,200
Videos
≈7,210
Links
≈23,000

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
1h 56m
Average length
23s

Measured directly from 301 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

18,615 reactions across 923 posts, in 57 distinct kinds. The most used accounts for 24.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4,50824.2%
👍3,79620.4%
🤯7924.25%
😱7113.82%
🔥7103.81%
🤔6773.64%
😐5923.18%
🐳5262.83%
🍌5132.76%
😢4802.58%
🥴3661.97%
👏3351.80%
😍3301.77%
🤩3271.76%
🤬2791.50%
💩2751.48%
😁2591.39%
🎉2461.32%
🤣1810.972%
⚡1650.886%
37 further kinds2,54713.7%

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 925 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 18,615 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.

Telegram Stars

Stars received
45
across the posts below
Posts paid on
45
of 1,000 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kanxia. 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 23 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: 44 of 515 posts held from the last 30 days (8.54%) 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, 14:44 UTC≈22,100 views15 reactionsread 11 November 2026
Video

#小姐姐分享:在东南亚待久了,真的不敢再轻易相信爱情了。 说实话,在东南亚待了这么久,感情上真的越来越疲惫了。见过太多嘴上说爱你、转身却把你丢下的男人,也听过太多好听的承诺。 刚认识的时候,甜言蜜语说得比谁都好听,恨不得把全世界都给你。可真到了需要他承担责任、解决问题的时候,态度就完全变了。 以前觉得两个人在一起,最重要的是感情。现在才发现,有些男人只想享受你带来的温柔,却不愿意承担一丁点责任。 尤其是在东南亚这个环境里,认识一个人好像很容易,真正遇到一个靠谱的人却很难。 有人今天对你嘘寒问暖,明天就能跟别人暧昧;有人口口声声说会照顾你,可一旦遇到现实问题,第一反应不是怎么解决,而是先算算自己会不会吃亏。 感情里最让人心寒的,不是没钱,也不是日子过得苦,而是你以为自己找到了依靠,最后才发现,对方只是在权衡利弊。 其实,女孩子在外面打拼,真的没有想象中那么容易。白天要面对工作和生活的压力,晚上一个人回到房间,有时候连…

❤7👍4🕊4

10 Nov 2026, 14:35 UTC≈1,430 views12 reactionsread 11 November 2026
Photo

#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😂 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

😱4👍3🥰3❤2

10 Nov 2026, 13:31 UTC≈1,370 views6 reactionsread 11 November 2026
Photo

美国新任驻柬大使向西哈莫尼国王递交国书 今天上午,美国新任驻柬埔寨大使克里斯托弗·安德森前往金边王宫金銮殿,向柬埔寨国王诺罗敦·西哈莫尼正式觐见并递交国书。 据美国驻柬大使馆此前消息,安德森于11月7日凌晨1时许抵达柬埔寨开启外交使命。他在任内将优先推动扩大美柬两国间的经济机遇,并着力加强双边安全合作。 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

❤2👍2🤯2

10 Nov 2026, 13:20 UTC≈1,340 views12 reactionsread 11 November 2026
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洪森家族举行佛教仪式 追思长子逝世50周年 今天上午,柬埔寨参议院主席洪森与夫人文拉妮、总理洪玛耐及夫人等家族成员,在特本克蒙省棉末县举行传统佛教仪式,追思长子洪贡索逝世50周年。柬埔寨僧王现场诵经,将功德回向亡灵。 洪森在社交平台发文回忆,1976年11月10日长子出生时因接生员失手摔地,终因抢救无效夭折,其名“Kamsot”意为“可怜”。洪森表示,50年过去,丧子之痛至今仍难以忘怀。 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

❤3👌2👎2👻2🤮2👍1

10 Nov 2026, 12:43 UTC≈21,000 views12 reactionsread 11 November 2026
Photo

泰国男子偷39件女性内衣被捕 泰国春武里府一名33岁摩托车修理店老板因偷窃女性内衣被警方逮捕,缴获内衣39件。失主将监控录像发布上网后锁定嫌犯。警方到店抓捕时,该男子试图藏匿赃物未果。 他供称长期失眠,看到女性内衣便产生玩弄欲望,夜间把玩后才入睡。尿检还显示其可能吸DU。警方已以偷窃和吸毒两项罪名立案处理。 PS:哪位群友?😂😂😂 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

😴4❤2🍌2👍2💋2

10 Nov 2026, 12:11 UTC≈31,900 views15 reactionsread 11 November 2026
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#越南新闻:越南准备放宽签证!拟推出最长1年多次入境签证,远程办公和长期旅居外国人有望受益! 11月8日消息,越南政府计划进一步放宽外国人入境及居留政策,重点吸引远程办公人员、长期旅居游客和医疗旅游人群。11月7日,越南政府向国会提交旅游业发展特别政策草案,考虑为符合条件的外国人提供更加灵活的签证及居留安排。 更值得关注的是,有国会议员建议试行最长有效期1年的多次入境旅游签证,让外国人可以在签证有效期内多次往返越南。 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

❤6👍5🤯4

10 Nov 2026, 11:53 UTC≈4,380 views12 reactionsread 11 November 2026
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刘亦菲已到达阿布扎比 这就是刘亦菲这一周要住的沙漠酒店吗???有没有人去偶遇 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

❤4🤡4👍2🤬2

10 Nov 2026, 11:30 UTC≈29,800 views1 reactionsread 11 November 2026
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❤1

10 Nov 2026, 11:03 UTC≈35,700 views13 reactionsread 11 November 2026
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🦟 斯里兰卡登革热病例突破10.7万例,11月首周新增近1400例 据斯媒11月9日报道:斯里兰卡登革热疫情形势严峻,根据当地卫生部门公布的数据,截至11月7日,全国今年累计报告107,651例登革热病例,年内累计死亡81人。 西部省为疫情重灾区,病例55734例,占全国总数一半以上,其中加姆珀哈区、科伦坡病例最多;11月前7天新增1,399例。 数据显示,今年7月是斯里兰卡登革热疫情最严重的月份,单月新增病例达到29,964例,成为今年病例数量最高的月份。 卫生部门表示,目前登革热疫情仍需高度警惕,现已划定37个高风险区域,相关部门正加强高风险地区防蚊灭蚊工作,对住宅周边、废弃场所及容易积水的区域进行检查,防止蚊虫滋生。 当地卫生部门提醒民众,近期应加强个人防护,及时清理家中及周边积水,避免蚊虫繁殖。如出现持续发烧、头痛、肌肉疼痛等疑似症状,应及时前往医院检查。 😁订阅频道:@jbton 😁投稿爆料:@geren …

🕊4❤3👍3🤮3

10 Nov 2026, 11:00 UTC≈34,500 views2 reactionsread 11 November 2026
Video

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10 Nov 2026, 10:59 UTC≈4,330 views3 reactionsread 11 November 2026
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#老挝资讯:万象突袭网络赌博窝点!12名外国人落网,11名泰国人被抓,现场查获20台电脑! 近日,老挝公安部专项工作组对首都万象市西萨塔纳县(Sisattanak)瓦索村(Ban Vat Sobs)一处出租屋展开突击检查,成功查获涉嫌从事网络赌博活动的窝点,一处普通出租屋,竟被怀疑暗中经营网络赌博及网络犯罪活动! 此次行动中,执法人员共拘留12名涉案人员,其中泰国籍11人(包括2名女性),另外1人为老挝籍。 现场查获的设备数量也引人关注: 📱 手机:11部 💻 台式电脑:20台 从人员构成到现场查获的设备,这处出租屋疑似并非普通居住场所,而是被用作网络赌博及相关网络犯罪活动的操作地点。 目前,12名涉案人员及相关电子设备已被执法部门控制,案件正在进一步调查处理中。 万象再传网络赌博窝点被查!11名泰国人集中落网,背后是否还涉及其他人员及犯罪网络,仍有待老挝警方进一步调查公布。 😁订阅频道:@jbton 😁投稿爆料:…

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10 Nov 2026, 10:13 UTC≈4,340 views14 reactionsread 10 November 2026
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#网友反馈:兄弟们约炮一定要注意安全,小雨伞该带还是要带。 不要总觉得梅问题,梅关系,梅事的,等有事你就惨了,这回我是叫天天不应,叫地地不灵了。 😁订阅频道:@jbton 😁投稿爆料:@geren 😀便民信息: 【华人互助群】【TG中文包】【公安档案】

❤3🤓3👍2🖕2🤮2😭2

Showing the 12 most recent of 1,983 posts we hold for @kanxia. 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 edited after publishing

@kanxia edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
20 September 2026
Most recent edit
20 September 2026

Mentions

Named by 11 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
海外大事件(猎奇-吃瓜)
@aa144 · 34,618
#2
泰国大事件
@dnyxst · 68,943
#3
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
#4
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 43,983
#5
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,323
#6
柬埔寨華人信息
@jpz_888 · 12,142
#7
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#8
菲律宾华人事件
@svip40 · 129,751
#9
东南亚悬赏-吃瓜中心
@dnyggg · 40,772
#10
东南亚挨打日记
@pyzcn · 217,725
#11
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 148,935
#12
头条事件
@toutiaoshijian · 66,698
#13
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,969
#14
吃瓜群众🍉
@chigua2022 · 190,073
#15
缅北悬赏通缉令(曝光)
@xinwen811 · 201,758
#16
东南亚闯荡纪 @MGHDSJ
@MGHDSJ · 13,642
#17
海外大事件
@usd1 · 250,079 (as read 10 August 2026)
#18
东南亚闯荡记🪐
@ac666 · 319,437
#19
迪拜/东南亚/大事件曝光生活资讯攻略
@tingyu0002 · 218,968
#20
东南亚大事件/曝光头条
@dnybgtt · 51,084
#21
博度东南亚大事件 @bdtime
@bodutt · 66,197
#22
soso东南亚-百科🌍
@ab100 · 126,776
#23
东南亚大事件丨78.com冠名
@w1666 · 35,055
#24
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 203,212
#25
阳光新闻|东南亚资讯
@xinwen1 · 96,302
#26
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,896
#27
西港日记 / 东南亚新闻
@xigang13 · 58,432
#28
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 72,375
#29
大象曝光|新闻
@dxdb001 · 4,720
#30
今日全网曝光频道
@bg855 · 2,736
#31
菲律宾大事件
@dnydxw · 66,686
#32
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,379
#33
汉城海外素材(78.com 冠名 )
@sucai · 48,046
#34
东南亚黑暗事件
@DNY_hasj · 199,034
#35
柬埔寨大事件|柬埔寨新闻|The Cambodia生活资讯
@jpz39 · 13,533
#36
内涵搞笑🫥
@chiguahs · 107,687
#37
吃瓜群众🍉
@chigua_e · 221,288
#38
斯里兰卡头条新闻曝光
@baoguangee · 198,457
#39
柬埔寨大事件 @blj77
@blj77 · 164,249
#40
东南亚曝光(吃瓜)
@dongnanya108 · 109,257
#41
全球精品素材
@taiwansucai223 · 10,799
#42
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 82,671
#43
东南亚曝光/大事件
@dny099 · 199,535
#44
柬埔寨新闻大事件
@jpz9118 · 70,179
#45
东南亚华人大事件
@jsj62 · 21,776
#46
海外曝光吧(全球新闻大事件)@VHHHH
@vhhhh · 186,904
#47
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,653
#48
柬埔寨头条事件️🅥
@HR8877 · 316,848
#49
菲龙网新闻中文媒体【官方】
@feilongwang · 68,697
#50
东南亚事件 ❖盈丰娱乐冠名🅥
@GTR133 · 3,608
#51
💯【佳佳】美食素材圈💯
@sucai177 · 97,443
#52
缅甸新闻 ‖ 亚太新闻 ‖ 东南亚新闻
@cn789 · 19,913
#53
博度-东南亚曝光新闻
@bodu08 · 55,955
#54
西港日记|柬埔寨大事件|东南亚大事件
@xigangz · 94,049
#55
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 159,008
#56
菲律宾/头条事件/曝光
@vjtyd · 55,832
#57
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,042
#58
东南亚头条大事件
@tp111 · 45,741
#59
菲律宾新闻大事件
@flb608 · 68,161
#60
海外素材库
@sucai1 · 58,856
#61
Суверенная экономика
@suverenka · 119,541
#62

Read from Telegram’s recommendation API, most recently 10 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.

泰国大事件
@dnyxst · 68,943
Telegram ranks this channel #1 of 80 here — alongside 79 others — read 17 August 2026
🍉吃瓜の小视频
@dnyxsp · 67,936
Telegram ranks this channel #1 of 43 here — alongside 42 others — read 16 August 2026
东南亚大事件丨78.com冠名
@w1666 · 35,055
Telegram ranks this channel #4 of 64 here — alongside 63 others — read 23 August 2026
菲律宾大事件
@dnydxw · 66,686
Telegram ranks this channel #5 of 71 here — alongside 70 others — read 16 August 2026
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 159,008
Telegram ranks this channel #6 of 49 here — alongside 48 others — read 14 August 2026
东南亚头条
@nb688 · 331,382
Telegram ranks this channel #8 of 46 here — alongside 45 others — read 13 August 2026
东南亚大事件/曝光头条
@dnybgtt · 51,084
Telegram ranks this channel #9 of 68 here — alongside 67 others — read 23 August 2026
海外曝光吧(全球新闻大事件)@VHHHH
@vhhhh · 186,904
Telegram ranks this channel #12 of 20 here — alongside 19 others — read 11 August 2026
全球大事件|新闻|曝光
@QQDS999 · 156,370
Telegram ranks this channel #13 of 76 here — alongside 75 others — read 11 August 2026
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
Telegram ranks this channel #13 of 26 here — alongside 25 others — read 10 August 2026
西港日记 / 东南亚新闻
@xigang13 · 58,432
Telegram ranks this channel #14 of 77 here — alongside 76 others — read 21 August 2026
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 84,214
Telegram ranks this channel #14 of 46 here — alongside 45 others — read 14 August 2026
缅北悬赏通缉令(曝光)
@xinwen811 · 201,758
Telegram ranks this channel #14 of 61 here — alongside 60 others — read 11 August 2026
东南亚金三角-悬赏曝光
@jsj53 · 52,287
Telegram ranks this channel #15 of 23 here — alongside 22 others — read 20 August 2026
东南亚黑暗事件
@DNY_hasj · 199,034
Telegram ranks this channel #15 of 29 here — alongside 28 others — read 11 August 2026
吃瓜群众🍉
@chigua_e · 221,288
Telegram ranks this channel #16 of 45 here — alongside 44 others — read 11 August 2026
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 203,212
Telegram ranks this channel #16 of 75 here — alongside 74 others — read 11 August 2026
东南亚大事件 @svip
@bx666 · 462,405
Telegram ranks this channel #16 of 40 here — alongside 39 others — read 10 August 2026
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,969
Telegram ranks this channel #17 of 46 here — alongside 45 others — read 27 August 2026
西港日记-柬埔寨通@NMSL
@baoguang7 · 37,484
Telegram ranks this channel #18 of 35 here — alongside 34 others — read 24 August 2026
缅甸新闻大事件
@MB104 · 50,565
Telegram ranks this channel #18 of 75 here — alongside 74 others — read 16 August 2026
东南亚缅北菲律宾迪拜大曝光|大事件|悬赏令
@dny2023dbg · 62,402
Telegram ranks this channel #18 of 64 here — alongside 63 others — read 13 August 2026
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,323
Telegram ranks this channel #18 of 50 here — alongside 49 others — read 12 August 2026
柬埔寨大事件/曝光
@jpz0123 · 51,837
Telegram ranks this channel #20 of 69 here — alongside 68 others — read 24 August 2026

This channel appears in 92 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

8 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

750.cc4 posts · 7 August 2026 – 7 August 2026 · example post
0001038.com1 post · 7 August 2026 – 7 August 2026 · example post
450231.com1 post · 7 August 2026 – 7 August 2026 · example post
855557.vip1 post · 7 August 2026 – 7 August 2026 · example post
8cc17.cc1 post · 7 August 2026 – 7 August 2026 · example post
bolai108.cc1 post · 7 August 2026 – 7 August 2026 · example post
www.usdt.prregistrable domain: usdt.pr1 post · 7 August 2026 – 7 August 2026 · example post
usdt568.com1 post · 7 August 2026 – 7 August 2026 · example post

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” (@kanxia), 437,687 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/kanxia.

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.