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Channel

东南亚新币曝光|新闻大事件

@dongnanya_xinbibaoguang

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

85,300subscribers

-4,921 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-1001279404963
TypeChannel
Username@dongnanya_xinbibaoguang
Description🔴投稿/曝光: @Xinbi_baoguang 东南亚新币曝光 @dongnanya_xinbibaoguang 菲律宾新币曝光 @feilvbin_xinbibaoguang 柬埔寨新币曝光 @jianpuzhai_xinbibaoguang 泰国新币曝光 @taiguo_xinbibaoguang 缅甸老挝新币曝光 @miandian_laowo_xinbibaoguang 迪拜新币曝光 @dubai_xinbibaoguang
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/dongnanya_xinbibaoguang

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 75% 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 2 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
@Banma_xinwen/1076777 Aug 2026, 11:10 UTC@dongnanya_xinbibaoguang/34415 · this entry7 Aug 2026, 11:10 UTC1.00under a minute
@Banma_xinwen/1076787 Aug 2026, 13:15 UTC@dongnanya_xinbibaoguang/34416 · this entry7 Aug 2026, 13:15 UTC1.00under a minute
@Banma_xinwen/1076847 Aug 2026, 13:18 UTC@dongnanya_xinbibaoguang/34422 · this entry7 Aug 2026, 13:18 UTC1.00under a minute
@Banma_xinwen/1076857 Aug 2026, 13:21 UTC@dongnanya_xinbibaoguang/34423 · this entry7 Aug 2026, 13:21 UTC1.00under a minute
@Banma_xinwen/1076907 Aug 2026, 14:41 UTC@dongnanya_xinbibaoguang/34426 · this entry7 Aug 2026, 14:41 UTC1.00under a minute
@dongnanya_xinbibaoguang/34415 · this entry7 Aug 2026, 11:10 UTC@fw99244/151277 Aug 2026, 11:11 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Banma_xinwen6 (5/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)
@fw992446 (5/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 7 August 2026 to 8 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 3, the earliest publisher we hold is @Banma_xinwen. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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 2 other registered channels, 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

85,30090,22187,760.57 August 2026 — 90,221 subscribers7 August 2026 — 90,221 subscribers8 August 2026 — 90,055 subscribers9 August 2026 — 89,823 subscribers10 August 2026 — 89,589 subscribers11 August 2026 — 89,406 subscribers12 August 2026 — 89,202 subscribers14 August 2026 — 89,068 subscribers15 August 2026 — 88,859 subscribers17 August 2026 — 88,630 subscribers18 August 2026 — 88,512 subscribers19 August 2026 — 88,329 subscribers20 August 2026 — 88,169 subscribers21 August 2026 — 88,102 subscribers22 August 2026 — 88,921 subscribers24 August 2026 — 88,553 subscribers25 August 2026 — 88,383 subscribers26 August 2026 — 88,269 subscribers27 August 2026 — 88,136 subscribers28 August 2026 — 88,055 subscribers29 August 2026 — 87,974 subscribers30 August 2026 — 87,886 subscribers31 August 2026 — 87,767 subscribers1 September 2026 — 87,667 subscribers2 September 2026 — 87,573 subscribers3 September 2026 — 87,396 subscribers4 September 2026 — 87,219 subscribers7 September 2026 — 86,900 subscribers10 September 2026 — 86,018 subscribers12 September 2026 — 85,742 subscribers14 September 2026 — 85,588 subscribers16 September 2026 — 85,454 subscribers18 September 2026 — 85,300 subscribers7 August 202618 September 2026
33 measurements spanning 41 days, net -4,921. 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 84,562–90,959 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 05:4085,300-154
16 Sept 2026, 00:4085,454-134
14 Sept 2026, 05:0085,588-154
12 Sept 2026, 12:2185,742-276
10 Sept 2026, 09:2186,018-882
7 Sept 2026, 03:5986,900-319
4 Sept 2026, 12:1787,219-177
3 Sept 2026, 02:3787,396-177
2 Sept 2026, 03:2387,573-94
1 Sept 2026, 06:4687,667-100
31 Aug 2026, 07:0587,767-119
30 Aug 2026, 06:4387,886-88
29 Aug 2026, 08:5487,974-81
28 Aug 2026, 10:1688,055-81
27 Aug 2026, 08:4388,136-133
26 Aug 2026, 05:3288,269-114
25 Aug 2026, 05:4388,383-170
24 Aug 2026, 07:1288,553-368
22 Aug 2026, 15:0488,921+819
21 Aug 2026, 04:5688,102first reading

Engagement

1,181 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 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.57%
avg views ÷ 85,300 subscribers
Avg views / post
3,050
638 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
638
of 1,181 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 274 of 638 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 27 September 2026
Posts held1,181 (7 August 2026 – 27 September 2026)
Views total1,943,746
Reactions total324
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 00:20 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
≈31,000
Videos
≈3,010
Links
≈1,370

Lifetime counters from Telegram’s own channel header, read 28 September 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 55m
Average length
33s

Measured directly from 208 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

381 reactions across 327 posts, in 12 distinct kinds. The most used accounts for 16.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6316.5%
👍5715.0%
👏4712.3%
🎉4010.5%
🔥389.97%
🤩379.71%
😁348.92%
🥰348.92%
⚡287.35%
👀10.262%
💯10.262%
🫡10.262%

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 332 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 381 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 14 August 2026 to 27 September 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

27 Sept 2026, 21:18 UTC578 viewsread 28 September 2026
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#网友曝光 此人叶志强,长期混迹西港各大赌场,偶尔做点换汇,近日跑了3500美元。目前这个局势有多难,大家都清楚。就算是正常做人的基本底线,也不该做出这种事。 出于朋友之间的信任,才把事情交给你处理,没想到你却利用这份信任来骗我。西港就这么大,我这边也已经在联系你的朋友。这3500美元请尽快归还,把事情解决。 如果你对此事不当回事,那就走着瞧。总之,在西港如果让我再碰见你,后果你自己考虑清楚。 另外,你过去做过的一些见不得光的事情,包括涉及人口买卖等情况,真的以为能够一直瞒得住吗? 这是最后一次忠告:请尽快出面把3500美元的事情解决。若你继续逃避,我会把相关情况、证据以及你过去涉及的事情,一五一十地交给公安机关处理。 此人身高1.75米,光头,经常对身边熟人下手,目前已经逃到金边。

27 Sept 2026, 21:08 UTC≈3,880 viewsread 28 September 2026
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#网友曝光 银河园区压薪劝退 我们在缅东妙瓦底一号码头里面17号码头“银河园区”四楼香烟办公室干活,公司主管叫“大江”,代理叫“表哥”。 封闭式公司就算了,还压着工资三万泰铢不发。员工外出管控特别严,劝大家别来这种地方。 我们当牛做马加班就算了,中秋节连月饼都不给吃一块,实在太抠了。省小钱,耗大事,一点格局没有,抠B老板。饭菜也是和猪食一样,他们自己倒是天天吃好伙食。 代理表哥的小三叫“思婷”,是腊戌12号人,天天收拾打扮等着干B。被包养的小三妹妹叫“满满”,和她男朋友也是两个大奇葩,不分场合。之前有一次上班时间,两个人直接跑到楼梯间就干起来了。 公司里上班的全是关系户,靠干B上班的公司。大江一接手管理,公司就变成这种B样子,霉B,迟早倒闭。 上班的全部是小三的亲戚关系户,不看能力只看关系。快倒了,希望缅军赶紧来把这个傻逼公司端了。

27 Sept 2026, 20:56 UTC≈4,750 viewsread 28 September 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_99311876

27 Sept 2026, 20:56 UTC≈3,940 viewsread 28 September 2026
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#网友曝光 此人叫姜舟,湖北黄冈人,曾多次在网上购买练功卷包装自己,并以此为噱头骗人。 你的所有事情在我这里已经全部穿帮了,希望你好自为之,不要给脸不要脸。 这次曝光警告你一下,如若还有下次,会曝光你的更多信息。

27 Sept 2026, 20:22 UTC≈3,530 viewsread 28 September 2026
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#马来西亚资讯:55名失踪马来西亚人家属再赴外交部听取尼泊尔搜救进展 2026年9月27日上午9时,55名在尼泊尔冰川洪水事件中失踪的马来西亚人家属抵达布城外交部,参加闭门会议。会议预计由国家灾难管理机构、特别马来西亚灾难援助与救援队、皇家警察、化学局、国民登记局及社会福利局代表出席,向家属说明搜救行动及罹难者身份核实进展。 这是继8月30日首次官方接触后的第二次会议,当时进行了DNA样本采集。11人组成的救援队已于9月14日从尼泊尔返回,尼方仍在继续搜救与身份识别工作。 8月26日发生的洪水与泥石流据报已造成逾1450人罹难,数千人失踪。

27 Sept 2026, 20:19 UTC≈1,630 viewsread 28 September 2026
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#台湾资讯:冒充大陆公安诈骗逾50人,“天金诈骗集团”20人遭起诉 台湾彰化地方检察署9月27日公布“天金诈骗集团”案件进展。该集团涉嫌冒充中国大陆公安人员,以涉及洗钱等理由实施诈骗,受害者超过50人。检方已分6波起诉20人,并对集团核心成员林姓女子求刑25年。 检方指出,该集团由廖姓男子、林姓女子为核心,设立“天成机房”及“金云曜机房”,专门从事假冒大陆公安的电信诈骗。为躲避警方查缉,集团多次更换机房地点,先后转移至台中梧栖、乌日及北屯等地,并与其他诈骗集团合作,招募车手及收簿人员转移、洗白赃款。 其中,一名在新加坡留学的学生接到诈骗电话后,被骗称银行账户涉及洗钱,随后遭要求前往越南“配合调查”。诈骗人员进一步控制其手机,并制作学生遭捆绑的视频,再以视频向身处中国大陆的台商父亲勒索财物。该名家长最终在中国大陆交出4公斤黄金,价值超过1600万元新台币。诈骗集团随后派遣车手前往大陆取走黄金,并通过相关管道将赃款洗白。 彰…

27 Sept 2026, 20:18 UTC≈4,420 viewsread 28 September 2026
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#国内资讯:微信严查头像昵称,今年已处置9万多个账号 9月24日,“微信珊瑚安全”公布账号资料专项治理情况。今年以来,微信已处置相关违规账号92079个,其中2463个账号被关闭。 此次重点整治冒充官方、伪装身份和违规引流等问题。部分账号使用“服务中心”等名称冒充官方机构,有的将账号包装成新闻媒体,还有人在未认证的情况下使用财经、医疗、司法、教育等专业身份。 微信已对相关账号采取清空资料、禁言、封号等措施。近期,部分冒充“村干部”直播带货的账号已被永久封禁。头像、昵称和简介如果存在冒充官方、身份伪装,或夹带色情、赌博等违规引流内容,情节严重的可直接封号。

27 Sept 2026, 20:16 UTC≈2,410 viewsread 28 September 2026
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#老挝资讯:累计检出26693名HIV感染者,6335人死亡 老挝艾滋病及性传播疾病防治中心9月26日发布数据显示,1990年至2026年8月,老挝累计有26693人检出HIV感染,相关死亡6335人。期间共有1835988人接受HIV检测,感染者占受检人群约1.45%。 官方特别说明,这一比例仅针对接受检测的人群,并非老挝全国总人口的感染率。 当地防治部门表示,目前仍有不少民众缺乏主动检测意识,部分人出现明显症状后才就医,容易错过最佳治疗时机。部门呼吁进一步扩大检测覆盖范围,并推动感染者尽早接受规范的抗逆转录病毒治疗。 PS:干老挝妹的逼记得包铁😂

27 Sept 2026, 20:15 UTC≈3,760 viewsread 28 September 2026
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人在东南亚待久了,才会越来越明白一件事 成年人的世界,没有那么多浪漫,更多的是现实。刚来的时候,总觉得换一个地方生活,无非就是换个环境、换群人,重新开始。真正待下来以后才发现,异国他乡不是旅游。旅游的时候,看的是风景、酒店、美食和夜生活;真正留下来生活以后,看见的却是生意、人情、压力、收入,还有每天必须解决的各种问题。 在国内的时候,很多事情有人情、有关系、有熟悉的环境。到了东南亚,一切都要重新适应。语言要适应,环境要适应,做事的方式要适应,人与人之间的相处方式也要适应。有时候一个人坐在异国的街头,看着来来往往的人,会突然觉得:原来成年人的安全感,从来不是别人给的,是自己一点一点挣出来的。所以现在的我,谈恋爱也好,交朋友也好,做事情也好,都会比以前现实一些。不是变得冷漠了,而是经历得多了以后,终于明白:感情可以有,但不能没有分寸;梦想可以有,但不能没有行动;野心可以有,但银行卡里最好也得有点东西。 人在外面闯荡,最怕的不是…

27 Sept 2026, 20:02 UTC≈3,020 viewsread 28 September 2026
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27 Sept 2026, 15:12 UTC≈3,030 viewsread 28 September 2026
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27 Sept 2026, 15:00 UTC82 viewsread 28 September 2026
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#巴基斯坦资讯:卡拉奇突袭两处诈骗呼叫中心,73人被带走调查 9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局突袭卡拉奇Tariq Road、PECHS Block 6两处涉嫌从事诈骗活动的呼叫中心。 据报道,两处呼叫中心均藏身住宅别墅内,现场共有73人被带走调查,包括客服人员、主管、运营负责人及IT工作人员等。 执法人员查获一套正在运行的CRM系统,其中存有客户资料及运营数据,同时扣押多台电子设备和其他数字证据,相关数据已送交技术部门进行取证分析。 初步调查显示,这些呼叫中心涉嫌冒用Zain Communications名义,以新信用卡、低利率金融服务等虚假金融服务为诱饵,主要针对美国公民实施诈骗。 目前案件已登记FIR 92/2026和93/2026。一名运营人员已被捕,另有两名涉案人员被列为在逃。NCCIA仍在进一步追查涉案人员、资金及背后运营网络。

Showing the 12 most recent of 1,181 posts we hold for @dongnanya_xinbibaoguang. 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 6 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚新币曝光|新闻大事件” (@dongnanya_xinbibaoguang), 85,300 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dongnanya_xinbibaoguang.

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.