Telegram RegisterThe public register of Telegram

Channel

东南亚大事件🅥

@dashijianx

3 usernames

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

223,908subscribers

-3,664 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-1001887655999
TypeChannel
Usernames@dashijianx @tx939 @y9n99
Description东南亚大事件 欢迎加入智慧天下联盟 天下社区:华人求助贴 永久免费 全网覆盖 广告招商/商务合作: @yoozb 天下联盟导航: @Txtot This group strictly adheres to the relevant regulations and guidelines of the @Telegram community. It is strictly prohibited to spread false rumors, firearms and ammuniti
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 live12 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/dashijianx

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 81% 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
@dashijianh/240977 Aug 2026, 08:11 UTC@dashijianx/30737 · this entry7 Aug 2026, 08:11 UTC1.00under a minute
@dashijianh/241027 Aug 2026, 08:41 UTC@dashijianx/30746 · this entry7 Aug 2026, 08:41 UTC1.00under a minute
@dashijianh/241077 Aug 2026, 09:11 UTC@dashijianx/30752 · this entry7 Aug 2026, 09:11 UTC1.00under a minute
@dashijianh/241417 Aug 2026, 12:56 UTC@dashijianx/30800 · this entry7 Aug 2026, 12:56 UTC1.00under a minute
@dashijianh/241457 Aug 2026, 13:11 UTC@dashijianx/30805 · this entry7 Aug 2026, 13:11 UTC1.00under a minute
@dashijianh/241487 Aug 2026, 13:26 UTC@dashijianx/30809 · this entry7 Aug 2026, 13:26 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dashijianh10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (73)

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. 3 of the 3 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 @dashijianx — 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 7 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

223,908227,572225,7407 August 2026 — 227,572 subscribers7 August 2026 — 227,516 subscribers8 August 2026 — 226,968 subscribers8 August 2026 — 226,807 subscribers8 August 2026 — 226,653 subscribers9 August 2026 — 226,274 subscribers9 August 2026 — 226,137 subscribers9 August 2026 — 226,103 subscribers10 August 2026 — 225,353 subscribers10 August 2026 — 225,233 subscribers10 August 2026 — 225,207 subscribers11 August 2026 — 224,600 subscribers11 August 2026 — 224,521 subscribers11 August 2026 — 224,404 subscribers12 August 2026 — 224,067 subscribers12 August 2026 — 223,993 subscribers12 August 2026 — 223,908 subscribers7 August 202612 August 2026
17 measurements spanning 5 days, net -3,664. 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 223,358–228,122 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:48223,908-85
12 Aug 2026, 12:04223,993-74
12 Aug 2026, 09:07224,067-337
11 Aug 2026, 16:52224,404-117
11 Aug 2026, 10:43224,521-79
11 Aug 2026, 08:32224,600-607
10 Aug 2026, 13:51225,207-26
10 Aug 2026, 13:12225,233-120
10 Aug 2026, 06:51225,353-750
9 Aug 2026, 12:01226,103-34
9 Aug 2026, 10:33226,137-137
9 Aug 2026, 06:41226,274-379
8 Aug 2026, 12:41226,653-154
8 Aug 2026, 07:56226,807-161
8 Aug 2026, 04:56226,968-548
7 Aug 2026, 10:30227,516-56
7 Aug 2026, 09:16227,572first reading

Engagement

133 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.306%
avg views ÷ 223,908 subscribers
Avg views / post
684
130 posts measured
Reaction rate
49.1%
reactions ÷ views · ER floor
Posts in window
133
of 133 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 126 of 130 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 12 August 2026
Posts held133 (7 August 202612 August 2026)
Views total88,956
Reactions total43,618
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:58 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
19,200
Videos
4,750
Links
3,140

Lifetime counters from Telegram’s own channel header, read 12 August 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
27m 32s
Average length
42s

Measured directly from 39 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

43,618 reactions across 126 posts, in 7 distinct kinds. The most used accounts for 14.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6,31414.5%
👏6,26914.4%
😁6,25514.3%
👍6,23014.3%
6,22814.3%
🥰6,19214.2%
🎉6,13014.1%

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 126 of the 133 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 43,618reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 133 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, 17:45 UTC484 views218 reactionsread 12 August 2026
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#波贝8处大楼查获17名泰籍人员 今天,卜迭棉芷省副省长普拉克·波利带队,在波贝市对8处大楼展开行政清查行动。 行动中,检查人员仅在第1处大楼内发现17名(含9名女性)泰国籍人员。经查,该批人员系当地赌场员工,均持有合规合法证件,警方已获准其继续停留。其余7处大楼均未发现外籍人员及涉案可疑物品。警方已对相关场所负责人进行了法制教育培训 #东南亚大事件 #东南亚 #曝光 #狗推 #菠菜 #新闻 #东南亚华人社区 #华人基地 #大事件 #天下社区 #天下新闻 #国际热搜 #国际 #热搜 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

42👍40🔥34🎉27🥰26😁26👏23

12 Aug 2026, 17:30 UTC≈1,690 views381 reactionsread 12 August 2026
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#苏诺塔西港履职近三年获本地媒体盛赞 作为全柬最年轻的省警察局长,苏诺塔空降西港担任省警察局长马上就将满三年。本地媒体发报道盛赞称,苏诺塔目前正坚决、有力地领导着全省警力! 报道称,苏诺塔亲自带队查封隐蔽从事非法网赌及非法拘禁的大型大楼,即便面对权贵背景或外籍涉案人员也绝不姑息;内部严格执行第006号纪律令,对涉毒、涉赌或充当保护伞的警员一律撤职开除并移送法办。 在苏诺塔局长的有力领导下,目前,西港网赌电诈及枪毒犯罪已大幅减少,社会治安显著改善。 年轻有为啊~~ #东南亚大事件 #东南亚 #曝光 #狗推 #菠菜 #新闻 #东南亚华人社区 #华人基地 #大事件 #天下社区 #天下新闻 #国际热搜 #国际 #热搜 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

🥰65🎉57👍56👏55😁53🔥5045

12 Aug 2026, 17:30 UTC448 views181 reactionsread 12 August 2026
Video

#大马多地陷霾害 吉隆坡12日讯: 马来西亚自8月8日起面对烟霾情况,截至今日下午3时,全国68个空气品质监测站中,有11个站录得“不健康”空气污染指数,另有1个站达“非常不健康”水平。 针对炎热干燥天气及霾害,当局劝请受影响地区民众减少户外活动、戴上口罩,以及摄取充足水分以维持身体水分。 民众亦受促不要进行任何露天焚烧,以免霾害情况进一步恶化。 #东南亚大事件 #东南亚 #曝光 #狗推 #菠菜 #新闻 #东南亚华人社区 #华人基地 #大事件 #天下社区 #天下新闻 #国际热搜 #国际 #热搜 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

👍33🔥30😁28🎉26👏26🥰2315

12 Aug 2026, 16:01 UTC27 views435 reactionsread 12 August 2026
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#网友反馈:老挝万象三江盛大门口这条街有很多当地的警察,现场各种拦车,连电瓶车都拦下来检查,大家注意安全,没有证件的,不要出来了。 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

👍70👏69🎉67😁64🔥5756🥰52

12 Aug 2026, 14:46 UTC≈2,110 views412 reactionsread 12 August 2026
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🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道,马来西亚耗资千亿美元打造的柔佛州“森林城市”(Forest City)因仅有一半不到的计划人口入住,原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性,吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获逾1500部手机及300余台电脑等作案工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作,显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡~~强者从不抱怨环境 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

🔥64🎉62👏6260👍60🥰52😁52

12 Aug 2026, 14:31 UTC765 views476 reactionsread 12 August 2026
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#群友投稿:郑重推出《东南亚系列主题歌》 第一首作品——《东南亚爱情故事》上线!这些年,我们漂泊在东南亚的土地上,有过梦想、有过热血,也经历过迷茫、孤独和离别。 金边、西港、波贝、曼谷……那些走过的城市,遇见的人,经历的故事,都将成为这组系列歌曲里的记忆。 后续歌曲也会陆续推出,希望用音乐记录这段特殊的岁月,把属于我们的青春、漂泊与感悟留下来。如果你有好的故事、好的题材、好的想法,欢迎联系我,让我们一起把这个“东南亚系列主题歌”做好。 不管未来走向哪里,也不枉这些年在异国他乡经历过的风雨。铁子们,多多支持!这个系列,靠大家一起见证! 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

🔥77👏74👍72🥰7164😁64🎉54

12 Aug 2026, 14:01 UTC≈2,280 views481 reactionsread 12 August 2026
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#群友反馈:老挝万象雅典饭店行动结束了,抓了不少人,目前开始装车带走了, 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

🥰8674🔥73😁67👍65👏62🎉54

12 Aug 2026, 13:46 UTC31 views294 reactionsread 12 August 2026
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#群友投稿:缅甸政府军已经开始准备围剿三佛塔了。 今天早上,我在房间里面听到了四声很明显的炮弹声音,虽然还有点距离,但是声音很响,根据其他地方的朋友讲,外围地区偶尔会有枪声传出来,现在三佛塔的园区人员都开始人心惶惶,园区老板也都不在园区里面了,公司该解散的解散,像我们这种还有安全的去路吗,整个东南亚还有净土吗😭 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

52😁46🥰45🎉42👍42🔥34👏33

12 Aug 2026, 13:31 UTC33 views256 reactionsread 12 August 2026
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#群友投稿:湖南新化老家四个人8.9日落地曼谷,前往清迈的车上失联。 经打听首先被绑架到妙瓦底DKBA总部足球场附近的军营,车牌号:3929 6699 3939 三辆车,然后8.12日转移到将军山669园区,被打的惨不忍睹,最近绑架事件的陈泽朋友女网红也是这个园区和军营接收,罪大恶极,曝光蛇头叫阿虎,军营负责人:大白 目前军营里仍然关押大量未成年学生,退伍军人,年轻女孩,用于敲诈赔付,请求大使馆,相关部门严查! 关注新闻大事件👉 @Tx939 投稿👉 @yoozb

😁44🥰40🎉39👍35👏34🔥3430

12 Aug 2026, 13:31 UTC31 views291 reactionsread 12 August 2026
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#网友爆料:高脚苏总 福建安溪人,安排路线让我从国内到柬埔寨绿巨人园区,他朋友的公司做精聊,在国内我就说了不做精聊,多次叫我出国,用高薪骗我出国! 到绿巨人园区后!做了一个月!我说我不做想回国!想要回国问我要高额赔付,没办法,后面安稳在绿巨人做了七个月之后,公司说要搬去七星海! 我没去,两个月工资没发,高脚让我去去中国城金水园区9栋3楼333办公室做法国刷单,说工资补给我!后面在中国城做了一个月,我说工资不要了!我要回国!然后联合主管阿木一起给我算1.6万赔付,我当时威胁他!我说要钱没有,我报警,他说报警也没用,给钱才能解决问题,后面找我朋友给了他1万u,才放我出园区 和我从国内出来的兄弟一直跟着她做,我没要他的代理费,也没有要他的介绍费,我兄弟幸幸苦苦和他干了一年多,后面他们公司搬去波呗,我兄弟一直跟着,结果波呗大检查,公司解散,不管我兄弟死活,也不安排我兄弟回国,现在高脚已经回国,压根不管下面人死活。 我现在只想要回

🥰48🔥46👍45😁4538👏36🎉33

12 Aug 2026, 13:16 UTC≈4,110 views303 reactionsread 12 August 2026
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#群友投稿:在东南亚混久了,人都废了。不是赚钱的问题,是脑子出了问题。 以前在国内,花100块都得掂量掂量。到了这边,100美金刷出去,眼睛都不眨。不是因为你赚得多了,是因为你把美金当冥币花了——数字小,没感觉,花完拉倒。月底一看账单:“卧槽,这钱是我花的?”不是你是谁?鬼帮你花的? 你以为你在过好日子,其实你在给东南亚打工。会所、酒吧、请客吃饭,样样不落。回国一看银行卡——余额还没你脸皮厚。 兄弟,你在国内省吃俭用,攒三万块能活半年。你在那边大手大脚,三万美金只够买几个月的“面子”。面子有了,钱没了,人老了,啥也没剩下。 更蠢的是啥?是你觉得这种生活正常。没存款正常,月底吃土正常,借钱发工资也正常。你管这叫“活在当下”,其实就是被这边的节奏带沟里了。 一句话:你是来赚钱的,不是来过瘾的。钱是挣来的,也是守住的。守不住,赚再多都是过路财神。别等到回国那天,才发现——你在国外潇洒了几年,实际上是在给别人的好日子买单。

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12 Aug 2026, 13:01 UTC30 views322 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

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Showing the 12 most recent of 133 posts we hold for @dashijianx. 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 — 50,014 of 1,084,084entries 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.

Mentions

Named by 9 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.

neihanduanzi
@neihanduanzi1 · 225,268
#1
文案库(治愈、励志、情感)
@wenanku · 68,159
#2
东南亚大事件
@bx666 · 467,364
#3
再看吴哥频道
@jpz_888 · 12,851
#4
木牌头条(二群)
@mupai77 · 4,538
#5
东南亚大事件-情报局
@p5559 · 207,672
#6
东南亚大事件-聚焦时事 @TX100
@tx100 · 164,498
#7
东南亚新闻|斑马曝光|news
@Banma_xinwen · 97,676
#8
东南亚新闻头条曝光🅥
@dny718 · 14,463
#9
新华社丨新闻曝光
@iiiik · 46,100
#10
东南亚华人情报站
@svip40 · 95,152
#11
柬埔寨租房 金边租房
@SuxingFC · 996
#12
越南新闻大事件
@VN704 · 44,190
#13
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 78,502
#14
柬埔寨大事件|曝光|新闻|西港|金边|吃瓜
@v3903 · 46,579
#15
菲律宾新闻大事件
@flb608 · 114,354
#16
东南亚新闻丨曝光丨悬赏
@bgggg2o · 996
#17
柬埔寨西港大事件
@BG423 · 34,412
#18
金边华人|柬埔寨大事件|东南亚大事件
@jinbianyy · 28,794
#19
特区信息|技术频道
@VP2130123 · 4,633
#20
博民网官方曝光频道
@bominwang18 · 4,776
#21
soso东南亚-百科🌍
@ab100 · 189,202
#22
吃瓜群众🍉
@chigua2022 · 202,494
#23
TNN电报新闻网_中文频道
@TNN_channel · 1,925
#24
木牌曝光
@mupai717 · 9,310
#25
🔔柬埔寨大事件|最新资讯!
@ow333 · 78,886
#26
东南亚曝光
@TRJ668899 · 45,548
#27
柬埔寨新闻曝光
@flwph66 · 115,392
#28
东南亚BC热点新闻
@baoguangqun110 · 49,031
#29
博彩黑台曝光
@baoguang_bc · 54,379
#30
东南亚大事件实时新闻
@sssvip2 · 278,263
#31
海华大事件❖6U.com娱乐首选🅥
@bx777 · 34,459
#32
东南亚新闻|缅北|金三角
@xigang1 · 62,745
#33
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 236,624
#34
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,231
#35
博彩黑平台曝光🔍
@uuuuuf · 32,952
#36
菲律宾新闻频道
@baoguangqun999 · 53,048
#37
东南亚挨打日记
@pyzcn · 218,850
#38
柬埔寨大事件|西港新闻
@JPZshibao888 · 84,983
#39
迪拜/东南亚/大事件曝光生活资讯攻略
@tingyu0002 · 203,878
#40
🥇东南亚华人大事件
@DNY88880 · 75,092
#41

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.

东南亚大事件-情报局
@p5559 · 207,672
Telegram ranks this channel #6 of 26 here — alongside 25 others — read 11 August 2026
neihanduanzi
@neihanduanzi1 · 225,268
Telegram ranks this channel #6 of 44 here — alongside 43 others — read 11 August 2026

This channel appears in 2 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件🅥” (@dashijianx), 223,908 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dashijianx.

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.