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Channel

东南亚新闻大事件

@dny888

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

44,144subscribers

-8,795 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001991329832
TypeChannel
Username@dny888
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #老挝 #泰国 东南亚新闻频道 —— 专注报道东南亚华人最新动态,揭露黑幕内幕,曝光无良黑平台,分享东南亚正在发生的故事,提供海外华人求助平台,让你掌握第一手资讯,了解海外华人大小事。 ⚠️ 请认准官方频道! 其他“东南亚新闻”均为非官方盗版,谨防诈骗与恶意敲诈,避免误导信息。我们致力于揭露骗局,曝光黑心平台,守护海外华人权益! 投稿机器人: @dny8888bot #投稿爆料 #曝光爆料 #每天更新 #每日更新 #今日头条 #头条新闻 #新闻头条 #吃瓜群众
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held20
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/dny888

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dnyzzd/473826 Aug 2026, 10:00 UTC@dny888/78144 · this entry7 Aug 2026, 10:00 UTC1.0024 hours
@dny888/78146 · this entry7 Aug 2026, 10:58 UTC@dnyzzd/473917 Aug 2026, 10:58 UTC1.00under a minute
@dnyzzd/473836 Aug 2026, 12:00 UTC@dny888/78156 · this entry7 Aug 2026, 12:00 UTC1.0024 hours
@dny888/78158 · this entry7 Aug 2026, 12:19 UTC@dnyzzd/473937 Aug 2026, 12:19 UTC1.00under a minute
@dnyzzd/473815 Aug 2026, 20:00 UTC@dny888/78167 · this entry7 Aug 2026, 20:00 UTC1.002 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dnyzzd5 (5/5 hand-verifiable sample passed)1.0024 hours@dnyzzd (32)

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 10 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 @dnyzzd. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 8 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

44,14452,93948,541.57 August 2026 — 52,939 subscribers8 August 2026 — 52,684 subscribers9 August 2026 — 52,277 subscribers10 August 2026 — 51,706 subscribers11 August 2026 — 51,182 subscribers12 August 2026 — 50,895 subscribers13 August 2026 — 50,470 subscribers14 August 2026 — 50,021 subscribers16 August 2026 — 49,108 subscribers17 August 2026 — 48,554 subscribers18 August 2026 — 48,034 subscribers19 August 2026 — 47,722 subscribers20 August 2026 — 47,350 subscribers22 August 2026 — 46,780 subscribers23 August 2026 — 46,359 subscribers25 August 2026 — 45,796 subscribers25 August 2026 — 45,355 subscribers26 August 2026 — 44,984 subscribers28 August 2026 — 44,719 subscribers29 August 2026 — 44,144 subscribers7 August 202629 August 2026
20 measurements spanning 21 days, net -8,795. 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 42,825–54,258 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 03:4444,144-575
28 Aug 2026, 01:0544,719-265
26 Aug 2026, 23:0844,984-371
25 Aug 2026, 23:4745,355-441
25 Aug 2026, 00:3745,796-563
23 Aug 2026, 11:2646,359-421
22 Aug 2026, 01:4346,780-570
20 Aug 2026, 19:3247,350-372
19 Aug 2026, 16:5347,722-312
18 Aug 2026, 18:5848,034-520
17 Aug 2026, 16:1648,554-554
16 Aug 2026, 07:2949,108-913
14 Aug 2026, 17:1650,021-449
13 Aug 2026, 09:1550,470-425
12 Aug 2026, 06:3550,895-287
11 Aug 2026, 09:3251,182-524
10 Aug 2026, 12:0851,706-571
9 Aug 2026, 09:5352,277-407
8 Aug 2026, 07:1252,684-255
7 Aug 2026, 22:4552,939first reading

Engagement

221 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 60 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.75%
avg views ÷ 44,144 subscribers
Avg views / post
1,210
220 posts measured
Reaction rate
0.159%
reactions ÷ views · ER floor
Posts in window
221
of 221 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 1 of 220 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 29 August 2026
Posts held221 (7 August 202629 August 2026)
Views total266,586
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 12:40 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
61,400
Videos
8,350
Links
21,200

Lifetime counters from Telegram’s own channel header, read 29 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
44m 05s
Average length
41s

Measured directly from 64 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1100.0%

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 1 of the 221 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 221 most recent posts we hold, published 7 August 2026 to 29 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

29 Aug 2026, 12:38 UTC2 viewsread 29 August 2026
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#网友爆料:缅东三佛塔“瀑布”黑园区,坐标:15.233577°N,98.181230°E 公司名字叫:远程集团。股东叫二哥,大管叫佑东。组长有沐沐、白骨、无名、陈怀、凯撒。公司名字叫:瑞丰集团。老板叫大圣,管理有小美、火箭、阿雷、老爪。 两个公司在一个地点办公,园区有700人左右,主要做中国盘军包和国内婚恋。这个老爪是买卖人口,专门接人的。 远程集团大管从柬埔寨过来,刚到一个月,手段极其恶劣、惨无人道:砸手指,动用水刑,躺倒、脸上盖布倒水;把人吊起来打,PC管打人,木棍打人,各种体罚;不给吃饭,每天凌晨两点下班,早上5点就要起来上班。上班犯困还要用手铐吊起来一整天,吊起来拳打脚踢,惨无人道、灭绝人性。那些没有开业绩的人,让吃屎,是真的屎。 公司极其黑暗,没有人性可言。两个公司做法做法一样,新来的佑东随心情打人,打了人还放歌助兴。他们会一群人踩一个人,把订书机往人身上订,耳朵对折起来,还有拔牙。 公司还有20个左右未成

29 Aug 2026, 12:14 UTC≈1,060 viewsread 29 August 2026
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综合多名群友提供的信息,近期伊斯兰堡老巴的操作如下: 1:F6 F7 F8地区FIA警察巡逻车多,信号车多,看到中国人拦下来就要5000卢比。 2:别墅没有扫荡,但是会上门登记检查是否有无护照人员居住,已有多个网友告知已被登记检查,遇到老巴刁难适当给点小费即可处理,底线是无设备人员均有护照。 3:电脑手机要藏严实一些,远离办公区域。 4:尽量不得罪老巴服务人员,保洁保安等,被他们无中生有举报了得不偿失。 5:注意看监控是否有老巴来门口拍照,也要防止老巴服务人员拍照。 6:有群友打车遇到老巴对比照片,大概率在寻找冲园区无护照人员,这些兄弟尽量避免出门。 频道广告赞助商 ——————————————— 🤑😀🤩🎰💯💯🎰🤓🤓 【929.com】6月初注册玩家存5000u出110万u 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰 U存U取 首存送18888U 返水1.3%起 😀😀😀😀😀😀😀😀😀 7T.COM全球最稳的USDT娱乐城 😀😀😀😀

29 Aug 2026, 12:00 UTC≈1,300 viewsread 29 August 2026
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29 Aug 2026, 11:45 UTC11 viewsread 29 August 2026
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大型电诈园区清剿完毕!柬埔寨电诈开启隐蔽 “游击战” 8 月 27 日柬埔寨官方通报,历经一年多持续清剿,境内大型电诈中心已完成清理。2025 年 7 月至 2026 年 8 月 20 日,当地执法部门排查 793 处涉诈地点,对 624 处开展打击行动,拘留来自 39 个国家的近 3 万名犯罪嫌疑人。 高墙林立、铁丝网环绕的巨型电诈园区正在退场,可犯罪团伙并没有彻底消失,而是选择化整为零,钻进城市各个不起眼的角落。 金边一家外表普通的手机店,关门之后就是诈骗窝点,3 名嫌疑人被当场抓获;波贝的一辆丰田商务车摇身变成移动诈骗据点,6 人窝在车内依靠设备作案;西港的别墅出租屋、中餐厅包厢,金边的公寓酒店接连曝出电诈据点,少则十几人,多则几十人藏匿其中开展诈骗。 团伙还练就快速流窜转移的本事。今年 3 月,金边一家酒店抓获 49 名涉诈人员,经查这伙人刚从别的省份辗转迁移过来。据点一旦暴露,团伙就迅速换城市、换场地继续作案。

29 Aug 2026, 11:32 UTC≈1,280 viewsread 29 August 2026
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#国内资讯: 深圳8月反诈再收紧 一个月刑拘涉诈黑灰产嫌疑人1900余人 深圳市公安局8月27日公布最新反诈专项战果。8月以来,深圳警方在全市持续打击涉诈黑灰产,截至通报时,已刑事拘留相关嫌疑人1900余人。 本轮行动重点清理为电信网络诈骗提供帮助的本地黑灰产业链,打击方向包括为诈骗活动提供技术、资金、通信等支撑的相关犯罪。 深圳此前也连续开展同类专项行动。5月刑拘涉诈黑灰产嫌疑人1218人,6月刑拘1700余人,8月最新通报人数已经超过1900人,打击力度继续加大。 关注大事件➡️@dny888 投稿:@nansu

29 Aug 2026, 10:00 UTC430 viewsread 29 August 2026
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29 Aug 2026, 04:32 UTC27 viewsread 29 August 2026
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#柬埔寨资讯:洪森总统指示严厉打击网络诈骗 洪森总统指示执法部门继续以坚定、强硬的态度打击网络诈骗犯罪,绝不姑息、绝不松懈。有关部门必须持续加强执法力度,依法严惩从事网络诈骗、组织诈骗团伙以及为相关犯罪活动提供便利的人员。 洪森总统强调,打击网络诈骗关系到人民群众的财产安全和社会秩序,执法部门必须保持高压态势,持续开展行动,切实维护人民群众的合法权益和国家良好形象。 对网络诈骗犯罪,要做到发现一起、查处一起,绝不手软、绝不姑息。 频道广告赞助商 ——————————————— 🤑😀🤩🎰💯💯🎰🤓🤓 【929.com】6月初注册玩家存5000u出110万u 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰 U存U取 首存送18888U 返水1.3%起 😀😀😀😀😀😀😀😀😀 7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀 9G.COM 全球布局 实力保障 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 煮酒论英雄 广告论实力 资金储备5亿U —————————

29 Aug 2026, 01:07 UTC29 viewsread 29 August 2026
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#网友投稿:今晚西港热闹了,一场大战一触即发! 世界洪门联盟总会主席(洪门官方不认可)-全国工商联中非商会理事会员、华人楷模年度人物-辉创集团董事局主席-白兆辉/白会长 Vs(约战地点:西港德瓦度假村) 柬埔寨大将军的女婿,河北廊坊公安关注对象,一匹来自内蒙草原,驰骋于高棉大地的骏马,东南亚四面佛(郜塔拉) 柬埔寨乱不乱中国人说了算。 高速路口看热闹的兄弟有么? 频道广告赞助商 ——————————————— 🤑😀🤩🎰💯💯🎰🤓🤓 【929.com】6月初注册玩家存5000u出110万u 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰 U存U取 首存送18888U 返水1.3%起 😀😀😀😀😀😀😀😀😀 7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀 9G.COM 全球布局 实力保障 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 煮酒论英雄 广告论实力 资金储备5亿U ——————————————— ➡️投稿爆料/赞助 @nansu

28 Aug 2026, 20:00 UTC944 viewsread 29 August 2026
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玩好游戏 · 娱乐平台风向标 ✅致力于构建公开、公正、透明的娱乐生态环境,依托全网数据监测与用户真实反馈,为广大用户提供平台信誉查询、风险预警、黑台曝光等一站式信息服务。 ✅以真实评价为基础,以数据分析为支撑,打造权威信誉榜单与风险预警体系。 ✅汇聚全网真实优惠,整合全平台靠谱优惠,拒绝虚假噱头,优惠一目了然。 选平台:先查信誉,风险可见。 避风险:先看曝光,远离损失。 找优惠:拒绝虚假,真实靠谱。 玩好游戏:保驾护航 让选择更安心。 官方频道 @yx123

28 Aug 2026, 16:00 UTC≈1,050 viewsread 29 August 2026
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28 Aug 2026, 15:32 UTC≈1,070 viewsread 29 August 2026
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#网友反馈:准备去吉隆坡的朋友注意,马来西亚海关已取消香烟免税额度,私自携带香烟入境被抽查到,会面临高额罚款,还可能被没收烟草。 不少人抱着侥幸心理带烟过关,一旦被海关查验,不仅要补缴税费,还会产生额外处罚,严重的还会影响入境记录。电子烟同样严禁携带,千万别触碰红线。出行提前做好功课,避免通关时遭遇不必要的麻烦。 频道广告赞助商 ——————————————— 🤑😀🤩🎰💯💯🎰🤓🤓 【929.com】6月初注册玩家存5000u出110万u 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰 U存U取 首存送18888U 返水1.3%起 😀😀😀😀😀😀😀😀😀 7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀 9G.COM 全球布局 实力保障 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 煮酒论英雄 广告论实力 资金储备5亿U ——————————————— ➡️投稿爆料/赞助 @nansu

28 Aug 2026, 14:00 UTC≈1,150 viewsread 29 August 2026
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Showing the 12 most recent of 221 posts we hold for @dny888. 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 — 367,315 of 1,625,954entries 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 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 29 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚新闻大事件” (@dny888), 44,144 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/dny888.

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.