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Channel

柬埔寨新闻大事件

@dny19131

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

59,806subscribers

+1,960 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-1001766525231
TypeChannel
Username@dny19131
Description频道每日分享要点资讯,时事新闻,社会热点,安危事件,曝光爆料,生活分享,华人求助,让您一个频道看尽世间百态! 频道只负责曝光悬赏,真假自行甄别。 商务合作: @larencc #东南亚 #柬埔寨 #菲律宾 #金三角 #缅甸 #新加坡 #迪拜 #泰国 #老挝 #越南 #马来
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/dny19131

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 53% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 12 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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
@dny19131/19103 · this entry6 Sept 2026, 06:52 UTC@dnyzw188/168926 Sept 2026, 06:53 UTC1.00under a minute
@dnyzw188/169226 Sept 2026, 13:05 UTC@dny19131/19133 · this entry6 Sept 2026, 13:06 UTC1.00under a minute
@dny19131/19405 · this entry10 Sept 2026, 13:40 UTC@dnyzw188/1719410 Sept 2026, 13:40 UTC1.00under a minute
@dny19131/19634 · this entry13 Sept 2026, 16:12 UTC@dnyzw188/1742313 Sept 2026, 16:12 UTC1.00under a minute
@dnyzw188/1811323 Sept 2026, 14:18 UTC@dny19131/20329 · this entry23 Sept 2026, 14:18 UTC1.00under a minute
@dnyzw188/210121 Nov 2026, 08:20 UTC@dny19131/23226 · this entry1 Nov 2026, 08:20 UTC1.00under 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
@dnyzw1881,333 (7/8 hand-verifiable sample passed)1.00under a minute@dnyzw188 (686–647)
@dnyzx19079 (7/8 hand-verifiable sample passed)1.003.6 hours@dnyzx190 (68–11)
@xinwenzix67 (8/8 hand-verifiable sample passed)1.002.0 hours@xinwenzix (61–6)
@dnyxw18957 (7/8 hand-verifiable sample passed)1.0050 minutesthis entry (41–16)
@dnyzx19251 (7/8 hand-verifiable sample passed)1.001.6 hours@dnyzx192 (31–20)
@qiusu66417 (8/8 hand-verifiable sample passed)0.9028 minutesthis entry (10–7)
@xinwenriji17 (8/8 hand-verifiable sample passed)0.90under a minute@xinwenriji (17–0)
@dnyzx8814 (8/8 hand-verifiable sample passed)0.9723 minutes@dnyzx88 (10–4)
@ershouflb9 (8/8 hand-verifiable sample passed)0.8973 minutesthis entry (8–1)
@sucaidny9 (8/8 hand-verifiable sample passed)0.9044 minutesthis entry (9–0)
@ZFJCG5 (5/5 hand-verifiable sample passed)0.892.2 hours@ZFJCG (5–0)
@chiguabgt5 (5/5 hand-verifiable sample passed)0.9145 minutes@chiguabgt (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. 907 of the 907 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 1,992 comparable posts for this entry, running 7 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @dnyzw188. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

48,66960,18954,42959,8067 August 202614 November 2026
66 measurements spanning 99 days, net +1,960. 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 46,941–61,917 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
14 Nov 2026, 21:0159,806-187
11 Nov 2026, 21:5559,993-82
10 Nov 2026, 01:0960,075-114
8 Nov 2026, 18:4060,189+4,293
7 Nov 2026, 09:5655,896-93
6 Nov 2026, 07:1555,989-78
5 Nov 2026, 08:4956,067-50
4 Nov 2026, 11:4756,117-117
3 Nov 2026, 10:4556,234-437
2 Nov 2026, 08:5956,671-154
1 Nov 2026, 09:1156,825-275
31 Oct 2026, 05:4857,100-232
30 Oct 2026, 04:3857,332-345
29 Oct 2026, 08:0757,677-382
28 Oct 2026, 07:0958,059-295
27 Oct 2026, 06:5958,354-371
26 Oct 2026, 06:1158,725-200
25 Oct 2026, 09:1658,925-122
24 Oct 2026, 12:1859,047-205
23 Oct 2026, 11:3959,252first reading

Engagement

2,231 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 201 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.49%
avg views ÷ 59,806 subscribers
Avg views / post
890
767 posts measured
Reaction rate
0.552%
reactions ÷ views · ER floor
Posts in window
767
of 2,231 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 7 of 767 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 14 November 2026
Posts held2,231 (7 August 2026 – 14 November 2026)
Views total682,387
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 23:47 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
≈19,000
Videos
≈2,960
Links
≈11,000

Lifetime counters from Telegram’s own channel header, read 14 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
2h 15m
Average length
42s

Measured directly from 196 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

7 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7100.0%

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 7 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 7 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 4 October 2026 to 14 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: 0 of 767 posts held from the last 30 days (0%) 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).

14 Nov 2026, 14:38 UTC≈1,500 viewsread 14 November 2026
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缅甸土瓦东部坡莱矿区限制居民进入,近百名中国公民在当地活动 据当地居民消息,缅甸土瓦东部兴达村附近的坡莱矿区近期出现近百名中国公民居住及作业的情况。当地居民称,该矿区目前禁止普通居民进入,现场由克伦民族联盟(KNU)武装人员负责安保。 据称,这批中国公民持有中缅双重身份证件,从土瓦方向乘车抵达当地,并在矿区附近新建建筑物。当地居民怀疑,相关建筑可能用于筹备诈骗活动及赌场,但目前尚无独立证据证实这一说法。 此外,土瓦东部及甘保地区也有中国公民从事矿产开采和交易活动。当地消息称,部分矿产经泰国转运至中国。 目前,关于坡莱矿区内中国公民的具体身份、实际经营项目,以及是否涉及网络诈骗或赌场活动,仍有待进一步核实。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 14:20 UTC≈1,430 viewsread 14 November 2026
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#马来西亚新闻 【国足对阵马来西亚首发公布 张玉宁王钰栋先发】 北京时间11月14日,2026CFA中国之队·肇庆国际足球邀请赛,中国男足对阵马来西亚男足。赛前双方首发出炉,张玉宁、王钰栋先发,李昊镇守国门。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 14:10 UTC2 viewsread 14 November 2026
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#ai #白丝 #护士 群友们,有这样的护士招呼你,想不想生病?🙈 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 13:56 UTC≈1,430 viewsread 14 November 2026
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随着比特币市值跌至1.39万亿美元,比特币在全球最大资产中滑落至第14位。 未来是否会有更多下行空间? 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 13:36 UTC≈1,480 viewsread 14 November 2026
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#网友投稿:随着汇旺、新币担保巨头的崩塌,灰产人到底该何去何从? 2021年从SHIB币社区小赚一把,在当年用赚得的钱投入创建一家通道公司。经历这几年,看到整个担保行业的发展起伏: 通道公司的初创期,有汇旺线下实体的背书,上押了3个公群。前几年也洗到了不少车队,也消失了不少车队;再然后就看到了汇旺、好旺、土豆被西方打压之后的退出。 今年年初,土豆退出后,泼天的流量都到了新币,新币瞬间占领行业,独揽90%的市场份额。当一个行业被垄断,一定会有另一股势力去黑化。9月8日的下午16点,新币被西方制裁后,嘎然而止…… 就此,我通道公司的近十万押金遥遥无期……是的,一次跟风,也相信这颗大树不会倒下,但现实又一次打脸…… 我和亨通、强盛、金届、淡然、胡有志、宏鑫、林家铺子、万利亨通一样,钱包被冻,公群押金又被新币跑路。 据不完全统计,新币公群押金2.5个亿,但实际媒体透露是5000多万,也就是新币当初有近2亿U的假押群。 新币…

14 Nov 2026, 13:22 UTC≈1,480 viewsread 14 November 2026
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#菲律宾新闻 【哥打巴托两家族冲突后军方部署兵力】 2026年11月12日,菲律宾哥打巴托省阿莱奥桑镇帕甘甘村两个摩洛家族武装交火,一方枪手烧毁12座房屋及简易棚屋。当地官员11月14日称,双方各有3名持突击步枪和榴弹发射器的武装人员受伤,均与摩洛伊斯兰解放阵线有关联。阿莱奥桑镇和平与秩序委员会主席、镇长卡巴亚谴责此事,呼吁两个家族和平解决积怨,军方第33步兵营已部署兵力防止冲突重演。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 13:07 UTC≈1,250 viewsread 14 November 2026
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#马来资讯:万津男子涉嫌勒死母亲,延扣7天,尿检对冰du呈阳性。 11月13日,马来西亚雪兰莪州瓜拉冷岳县万津发生一起命案,一名20多岁男子涉嫌勒死50多岁的母亲,警方接报后将其逮捕。 警方初步调查认为,死者颈部受到压迫,疑遭勒颈致死。 11月14日,警方证实,嫌疑人已被延扣7天,至11月20日,以协助调查。其尿液筛查结果对甲基苯丙胺(冰du)呈阳性。 目前,警方仍在调查作案动机,案件援引马来西亚《刑事法典》第302条(谋杀)调查。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 12:54 UTC≈1,030 viewsread 14 November 2026
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#泰国新闻 【泰官员查缅边境20座矿场 拟11月16-18日赴华磋商】 2026年11月14日11时40分,泰国内政部副部长杰萨前往清莱府湄法銮县特泰镇帕亚普莱村,检查缅甸边境矿场情况,并听取学者汇报。民众网络数据显示,当地已有20家获缅甸政府许可的矿场,包括12家金矿、6家锰矿和2家铅矿,另有锡矿与锑矿开采。杰萨表示,总理已就此事与中国领导人沟通,他将于11月16日至18日随总理代表团赴华,与相关方讨论该问题,并协调受影响流域国家共同参与。政府将并行推进谈判、寻求合作与施压措施,同时加紧保障民众用水及农业用水。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 12:33 UTC≈1,020 viewsread 14 November 2026
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#网友爆料:缅甸掸邦“孟哈”假日酒店往前一个村里,里面的人生不如死,都是被骗上去这个地方的。 有干军包的、股转的,当地保护伞是傣族兵,外号“少爷”。公司里面物业叫外号“阿峰”。 一天除了骂骂咧咧,你能干嘛?以为穿上本地服装就是本地人了吗?还有你那小三,外号“四姐”(本地人),说是当阳万海很有实力呢!你也就仗着你这个小三,在那山里面作威作福了。心情不好,连本地保安都打,真不怕哪天回来佤邦地区被绑了吗? 办公室所有人的照片,以及老板的照片,暂时就不发了。劝你早点把他们都放了,要不然下一步就是查你祖宗十八代。狗屁都不是的玩意儿,混东南亚那么多年,没听说物业管业绩的! 劝你早点放了他们。你也可以连夜转移,已经帮你上报老缅了。你那个窝呆不久,看看少爷保得住你么! 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 12:19 UTC≈1,200 viewsread 14 November 2026
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#网友投稿:河内福安民房打野差点被一锅端,罚款2000万越南盾。 是祸躲不过。 本周星期三晚上,我在河内市郊外福安地区租的一套打野民房差点点就被越南公安一锅端掉。 起因是民房的房东听到旁边邻居向她告状,说房子最近来了几个陌生的外国人住在里面。这个民房是用我的真实护照信息租的,搬进去的几个人是我手底下打野团队的新成员。 房东打电话要我过去一趟,让这几个新住进来的外国人带上护照签证去社区登记身份信息。 房东打完电话后,我赶紧通知在民房里面的所有员工暂停打野马上搬走,去另外一个民房。新来的几个员工都是偷渡到越南,怎么可能让他们去社区登记,那不是告诉社区公安来抓偷渡打野电诈犯。 确定几个员工已搬走后,我就去民房打算跟房东碰个面谈谈。到民房后不仅见到了房东,还见到了几个本地公安,真踏马刺激惊悚,幸好我提前让员工搬走了。 公安和房东见到我后,就让房东问我住在里面的外国人去哪里了。我假装无辜,说不知道,也只认识其中的一个外国人,可…

14 Nov 2026, 12:06 UTC≈1,130 viewsread 14 November 2026
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#越南资讯:银行员工借过桥贷名目行骗,揽款超二十亿越盾被捕起诉。 据越南资讯,同奈公安调查机关对商业银行员工阮文勋提起刑事指控并将其逮捕羁押,罪名是诈骗侵占财产。 阮文勋受自身债务压力驱使,利用银行职员身份博取信任,对外谎称有客户需要资金做贷款过桥,承诺短期还本付息。 他还出示亲属的信贷材料与合同,伪造项目真实性,陆续向多名受害人借款。 涉案总额逾20亿越南盾,折合人民币约54万元。现阶段案件还在持续侦办当中。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🔔 订阅频道:@xinwenzix ➡️ 投稿爆料:@larencc 😅

14 Nov 2026, 12:02 UTC≈1,140 viewsread 14 November 2026
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Showing the 12 most recent of 2,231 posts we hold for @dny19131. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 46 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨新闻大事件” (@dny19131), 59,806 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/dny19131.

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.