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Telegram profile photo for 东南亚黑暗事件

Channel

东南亚黑暗事件

@DNY_hasj

Not marked by Telegram, checked 10 August 2026

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

199,034subscribers

-1 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-1002105206521
TypeChannel
Username@DNY_hasj
Description『东南亚黑暗事件』在飞机上仅此一个频道,其他均为盗版!请注意识别,不会私信任何人,防止被诈骗或敲诈勒索! 投稿爆料找小陌: @molu100 海外交友俱乐部: @haiwai_JLB 双向机器人投稿: @dashijianbot
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/DNY_hasj

Topic

Other / unclassifiable — 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 44% 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
@DNY_hasj/56394 · this entry7 Aug 2026, 12:00 UTC@cctimes_channel/354727 Aug 2026, 12:00 UTC1.00under a minute
@DNY_hasj/58715 · this entry9 Sept 2026, 13:11 UTC@cctimes_channel/375529 Sept 2026, 13:11 UTC1.00under a minute
@cctimes_channel/388071 Oct 2026, 12:00 UTC@DNY_hasj/61138 · this entry17 Oct 2026, 11:05 UTC1.0016 days
@DNY_hasj/57262 · this entry19 Aug 2026, 13:25 UTC@cctimes_channel/3625319 Aug 2026, 13:25 UTC0.94under a minute
@DNY_hasj/59270 · this entry18 Sept 2026, 14:51 UTC@cctimes_channel/3805118 Sept 2026, 14:51 UTC0.93under a minute
@DNY_hasj/61839 · this entry26 Oct 2026, 16:48 UTC@cctimes_channel/4045026 Oct 2026, 16:48 UTC0.93under a minute
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
@cctimes_channel7 (7/7 hand-verifiable sample passed)0.96under a minute@cctimes_channel (5–2)
@dashijian7 (7/7 hand-verifiable sample passed)0.98under a minute@dashijian (6–1)
@xinwen8115 (5/5 hand-verifiable sample passed)0.8617 minutesthis entry (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. 11 of the 11 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 2,345 comparable posts for this entry, running 7 August 2026 to 11 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 12 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

175,036210,146192,591199,0347 August 202610 November 2026
63 measurements spanning 95 days, net -1. 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 169,770–215,413 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 18:05199,034-1,472
9 Nov 2026, 08:14200,506-1,468
8 Nov 2026, 00:50201,974+3,876
6 Nov 2026, 22:44198,098+2,605
5 Nov 2026, 19:59195,493-937
4 Nov 2026, 16:17196,430-934
3 Nov 2026, 13:56197,364-82
2 Nov 2026, 15:05197,446-385
1 Nov 2026, 14:58197,831-1,202
31 Oct 2026, 16:36199,033-1,173
30 Oct 2026, 18:09200,206+7,161
29 Oct 2026, 19:48193,045-999
28 Oct 2026, 22:08194,044-1,889
27 Oct 2026, 19:46195,933-1,127
26 Oct 2026, 19:10197,060-1,926
25 Oct 2026, 18:21198,986-1,331
24 Oct 2026, 15:11200,317-2,052
23 Oct 2026, 13:56202,369-1,262
22 Oct 2026, 14:49203,631+9,226
21 Oct 2026, 06:31194,405first reading

Engagement

2,724 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.05%
avg views ÷ 199,034 subscribers
Avg views / post
12,000
801 posts measured
Reaction rate
0.007%
reactions ÷ views · ER floor
Posts in window
819
of 2,724 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 319 of 801 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 November 2026
Posts held2,724 (7 August 2026 – 12 November 2026)
Views total9,649,291
Reactions total278
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 14:22 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
≈32,800
Videos
≈8,220
Links
≈1,050

Lifetime counters from Telegram’s own channel header, read 12 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 06m
Average length
47s

Measured directly from 316 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

344 reactions across 242 posts, in 11 distinct kinds. The most used accounts for 84.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤28984.0%
👍4111.9%
🤮30.872%
💩20.581%
🔥20.581%
🫡20.581%
⚡10.291%
👎10.291%
😱10.291%
🤔10.291%
🤯10.291%

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 399 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 344 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 8 October 2026 to 12 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: 404 of 819 posts held from the last 30 days (49.3%) 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).

12 Nov 2026, 14:05 UTC≈3,220 viewsread 12 November 2026
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12 Nov 2026, 14:00 UTC≈5,050 viewsread 12 November 2026
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12 Nov 2026, 13:30 UTC≈12,300 viewsread 12 November 2026
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12 Nov 2026, 13:15 UTC≈16,300 views0 reactionsread 12 November 2026
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#网友投稿:最近越南、马来会有大量的警力进行为期约一周的检查,且将常态化开展工作,请各位多多注意! 目前接到的消息,越南海关即将进行系统升级,新系统会新增多项前沿技术,有效精准识别护照信息,防空技术将有质的飞跃;并且接入国际刑警组织银色通缉令数据,实现毫秒级反馈。 据了解,越南海关、马来海关接收了一批来自中国方面的通缉名单,均已下放至机场口岸、陆路口岸。 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

12 Nov 2026, 13:05 UTC≈15,900 viewsread 12 November 2026
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12 Nov 2026, 12:46 UTC≈16,000 viewsread 12 November 2026
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#网友投稿:如今的西港,大部分地方早已变得冷清,街道昏暗,曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去,许多地方都是黑漆漆的一片,唯独越南街,依旧灯火通明。一座城市的变化,有时候不需要太多言语,只要夜幕降临,走上街头,便能感受到时代变迁留下的痕迹。 西港还是那个西港,只是亮着灯的地方,越来越少了。 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

12 Nov 2026, 12:45 UTC≈16,000 viewsread 12 November 2026
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12 Nov 2026, 12:35 UTC≈15,900 views0 reactionsread 12 November 2026
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12 Nov 2026, 12:30 UTC≈16,000 viewsread 12 November 2026
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#网友投稿:有时候我会想,自己是从什么时候开始对键盘产生这种奇妙的依赖感的。 刚进公司的时候,对键盘其实是陌生的,敲字只是工作的一部分,是完成任务的工具。 可这几年下来,我在一段段和客户的对话中,一次次敲击键盘,慢慢地开始感受到那种节奏与表达带来的微妙变化。 每一个字从指尖落下,都像是有温度的、有情绪的,不再只是冷冰冰的符号,而是承载着沟通、理解,甚至一点点情感的延伸。 渐渐地,我发现自己开始享受这种感觉,甚至不再满足于普通的办公键盘,会去在意手感、声音、反馈。当我坐在工位上,没有客户聊天的时候,手指竟会不自觉地发痒,仿佛在等待下一次敲击的开始。 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

12 Nov 2026, 12:25 UTC≈16,000 views1 reactionsread 12 November 2026
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西港这栋楼正在甩卖,原价240万$,现仅售150万$,你会怦然心动吗?? 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

❤1

12 Nov 2026, 12:22 UTC≈16,200 viewsread 12 November 2026
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#斯里兰卡新闻:加大力度打击网络诈骗!今年已有765人被捕,数字金融诈骗成重点 11月11日,斯里兰卡警方通报,今年以来,全国已有765人因涉嫌计算机犯罪、网络诈骗及数字金融欺诈被捕。随着诈骗分子利用手机、社交媒体和网络平台作案的情况增加,当地警方正进一步加强打击力度。 斯里兰卡警察总长已下令相关部门加大执法力度,严查各类网络犯罪。 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

12 Nov 2026, 12:10 UTC≈15,300 views2 reactionsread 12 November 2026
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金边外卖员借问路猥亵女性 警方火速追缉将其抓获 今天,金边市警方多部门联合行动,在桑园区沙南特高分区成功抓获一名涉嫌当街猥亵女性的男性外卖员(Rith Sophearun,现居朗哥区)。 据警方通报,11月11日晚9时57分许,该嫌犯骑摩托车途经棉芷区万东奔第一分区一处偏僻路段时,趁着夜色及雨天,假装迷路向一名女性受害者搭讪问路,随即趁其不备实施猥亵并骑车逃离。受害者于12日上午向当地派出所报案后,轻刑科联合棉芷区警方迅速锁定嫌犯行踪并将其缉拿归案。目前,警方正整理案卷,依法追究其刑事责任。 趁机摸了一把?? 👌订阅频道: @DNY_hasj 👌投稿爆料: @molu100 👌海外交友: @haiwai_JLB

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Showing the 12 most recent of 2,724 posts we hold for @DNY_hasj. 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

@DNY_hasj 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
28 October 2026
Most recent edit
28 October 2026

Mentions

Named by 4 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
柬埔寨大事件 @blj77
@blj77 · 163,618
#2
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
#3
柬埔寨華人信息
@jpz_888 · 12,123
#4
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
#5
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,180
#6
东南亚悬赏-吃瓜中心
@dnyggg · 40,772
#7
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,818
#8
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#9
东南亚挨打日记
@pyzcn · 211,778
#10
海外大事件(猎奇-吃瓜)
@aa144 · 34,590
#11
soso东南亚-百科🌍
@ab100 · 125,246
#12
东南亚闯荡记🪐
@ac666 · 319,268
#13
东南亚大事件️
@dsj818 · 130,890
#14
东南亚大事件
@kanxia · 437,528
#15
蜜见 | 泰国品质生活指南
@taiguo52 · 4,430
#16
东南亚闯荡纪 @MGHDSJ
@MGHDSJ · 13,629
#17
西港日记|柬埔寨大事件
@xgrj0 · 148,875
#18
菲律宾华人事件
@svip40 · 129,420
#19
西港日记 柬埔寨通
@xigang6 · 4,152
#20
东南亚大事件-南洋之音
@DNY0027 · 2,634
#21
阳光新闻|东南亚资讯
@xinwen1 · 95,957
#22
海外曝光吧(全球新闻大事件)@VHHHH
@vhhhh · 186,878
#23
DJ音乐【东南亚飞行员俱乐部】把爱留在飞行员俱乐部 精彩尽在 @TG_DJ777 !
@TG_DJ777 · 126,698
#24
吴哥同城
@wgtc0 · 537
#25
东南亚大新闻
@HYY3333 · 101,669
#26
DJFLY海飞丝私房音乐频道🔊
@htDJFLY666 · 5,007
#27
DJ阿肖音乐频道
@DjAXRemix · 10,674
#28
海外素材库
@sucai1 · 58,856
#29

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.

柬埔寨大事件 @blj77
@blj77 · 163,618
Telegram ranks this channel #6 of 27 here — alongside 26 others — read 12 August 2026
西港日记|柬埔寨大事件
@xgrj0 · 148,875
Telegram ranks this channel #8 of 21 here — alongside 20 others — read 12 August 2026
东南亚大事件️
@dsj818 · 130,890
Telegram ranks this channel #9 of 23 here — alongside 22 others — read 14 August 2026
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
Telegram ranks this channel #15 of 26 here — alongside 25 others — read 10 August 2026
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,818
Telegram ranks this channel #16 of 46 here — alongside 45 others — read 27 August 2026
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
Telegram ranks this channel #19 of 44 here — alongside 43 others — read 27 August 2026
东南亚大新闻
@HYY3333 · 101,669
Telegram ranks this channel #19 of 41 here — alongside 40 others — read 16 August 2026
东南亚大事件 @svip
@bx666 · 462,405
Telegram ranks this channel #20 of 40 here — alongside 39 others — read 10 August 2026
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 84,052
Telegram ranks this channel #21 of 46 here — alongside 45 others — read 14 August 2026
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,180
Telegram ranks this channel #21 of 50 here — alongside 49 others — read 12 August 2026
🍉吃瓜の小视频
@dnyxsp · 67,891
Telegram ranks this channel #25 of 43 here — alongside 42 others — read 16 August 2026
DJ音乐【东南亚飞行员俱乐部】把爱留在飞行员俱乐部 精彩尽在 @TG_DJ777 !
@TG_DJ777 · 126,698
Telegram ranks this channel #25 of 50 here — alongside 49 others — read 12 August 2026
东南亚狗推(吃瓜)
@MB_149 · 129,462
Telegram ranks this channel #27 of 48 here — alongside 47 others — read 16 August 2026
东南亚挨打日记
@pyzcn · 211,778
Telegram ranks this channel #29 of 47 here — alongside 46 others — read 11 August 2026
东南亚闯荡记🪐
@ac666 · 319,268
Telegram ranks this channel #33 of 61 here — alongside 60 others — read 10 August 2026
东南亚大事件
@kanxia · 437,528
Telegram ranks this channel #35 of 62 here — alongside 61 others — read 10 August 2026
迪拜新闻头条
@hyxw6 · 76,379
Telegram ranks this channel #58 of 65 here — alongside 64 others — read 18 August 2026

This channel appears in 17 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.

“东南亚黑暗事件” (@DNY_hasj), 199,034 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/DNY_hasj.

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.