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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 April 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

1,206 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.53%
avg views ÷ 85,300 subscribers
Avg views / post
3,010
637 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
637
of 1,206 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 277 of 637 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 28 September 2026
Posts held1,206 (7 August 2026 – 28 September 2026)
Views total1,916,627
Reactions total326
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 00:30 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
≈31,100
Videos
≈3,030
Links
≈1,380

Lifetime counters from Telegram’s own channel header, read 29 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 52m
Average length
32s

Measured directly from 209 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

389 reactions across 335 posts, in 12 distinct kinds. The most used accounts for 16.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6316.2%
👍5915.2%
👏4912.6%
🎉4110.5%
🤩389.77%
🔥379.51%
😁359.00%
🥰359.00%
⚡297.46%
👀10.257%
💯10.257%
🫡10.257%

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 340 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 389 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 15 August 2026 to 28 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

28 Sept 2026, 20:06 UTC≈4,300 viewsread 29 September 2026
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28 Sept 2026, 16:01 UTC135 views1 reactionsread 29 September 2026
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#全网曝光 #柬埔寨 #避坑 #避雷 #白眼狼 #黑龙江 #兔子(真名苏晓慧) #大圣 或者猴子(真名张语林) #啊强(于海伟) 黑龙江省五大连池人士 联系我,把事情最小化处理,等我找到人了,那就不那么简单处理了,还有正在找人调你们全家户籍信息,等后续带曝光

👏1

28 Sept 2026, 15:35 UTC136 viewsread 29 September 2026
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#跑路狗 #赌徒 #婉宁 #烤红薯 这个女的是个赌徒,婉宁、烤红薯都是她名字,身高一米五,瘦瘦小小的,广西人。 她之前在MJ上班,专门骗男人钱去赌博。拿码被扣了,就叫我帮忙借钱。周末她要出来陪男人,不去陪那个男人就不给钱。我也知道她情况,将军山上园区那个男的会给她钱,所以就去借给她。我当时发高烧,照样帮她去借。 借完钱,说好要还的,结果直接跑路了。说去外面赚钱,有男人给她钱。现在一个月了,消息一条都没有。 看到消息尽快联系我。不联系我就天天曝光你,让所有人都知道你什么嘴脸。

28 Sept 2026, 15:32 UTC≈3,160 views1 reactionsread 29 September 2026
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#小姐姐投稿:先搞钱,再谈爱 别人谈恋爱讲究的是感觉,我谈恋爱讲究的是现实。 在搞对象和搞钱之间,我认真研究了一下,最后决定:对象可以慢慢搞,钱还是得先搞。 毕竟爱情不会主动给我发工资,月底房租也不会因为我深情就打个折。 看电视剧《插翅难逃》这类港片,多少有点学到张世豪那股劲儿。人家想的是怎么搞大事,我想的是怎么把自己的日子过明白。 人可以有野心,但不能光有野心,银行卡余额才是最诚实的观众。 尤其是干狗推这一行,天天面对的不是诗和远方,而是业绩、客户、工资和月底的生活费。别人晚上失眠是因为对象不回消息,我失眠是因为客户不回消息。一个是情感问题,一个是收入问题,怎么选其实已经很明显了。 当然,我也不是不相信爱情,只是现在的我比较现实。年轻的时候可以为爱情冲动,到了这个年纪,至少得先让自己有点底气。 没钱的时候,连说一句“我养你”都像是在给自己挖坑,最后可能不是养对象,是对象养成了前任。 所以现在的我想得很简单:先…

⚡1

28 Sept 2026, 15:31 UTC≈2,890 viewsread 29 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

28 Sept 2026, 15:31 UTC≈2,820 views1 reactionsread 29 September 2026
Video

#缅甸资讯:KIA被指为中国商人提供安保 一段关于克钦独立军(KIA)为依靠中缅边境资源产业、前往当地的中国商人提供安保的视频正在流传。 一名浪散(Lansel)当地居民表示,在缅军无法触及的地区,KIA一直为中国商人提供安保,当地有不少事情在随意发生,KIA与中国人的商业合作也越来越多。 当地居民还表示,以中缅边境为基地的克钦KIA正与中国人合作,垄断和吞并资源经济。

🎉1

28 Sept 2026, 15:12 UTC≈2,430 viewsread 29 September 2026
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科技的确能改变生活……😂 为了防止用户不看广告“白嫖”,爱奇艺利用AI智能技术开发出一套能够监测用户是否睁眼、盯着屏幕观看广告的系统。 如果系统发现用户在播放广告时闭眼,或者没有盯着屏幕,那么广告就会暂停播放,直到用户重新睁眼并盯着屏幕,才会继续播放完整广告。

28 Sept 2026, 15:12 UTC≈2,740 viewsread 29 September 2026
Video

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28 Sept 2026, 15:01 UTC≈5,430 viewsread 29 September 2026
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#网友反馈:缅甸很多地方直接断网了?目前只能使用星链上网。

28 Sept 2026, 15:00 UTC≈2,750 viewsread 29 September 2026
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#网友投稿:走了很久,却不知道要去哪 那时候二十几岁的年纪,跑来了东南亚。 那时候总觉得,年轻嘛,怕什么。一个行李箱,兜里没多少钱,心里却装着一个特别简单的念头:挣够10万就回家。 那时候的回家,是一个很具体的目标。好像只要钱挣够了,任务完成了,就可以拍拍身上的灰,买张机票,重新回到熟悉的城市,见想见的人,过原来的生活。 可后来才发现,有些地方待久了,“回家”这两个字,会慢慢从生活里消失。 不是发生了什么惊天动地的事情,只是日子一天又一天地过。衣服没舍得买几件,鞋子也不知道穿了多久,裤子来来回回就那么几条。这里的太阳好像永远不会累,一年到头都热得亮。 可偏偏有那么一些时候,我会连续两三个星期看不见真正的太阳。不是因为阴天,是因为我根本没有抬头。 每天醒来想的是今天做什么,晚上想的是明天怎么过。身边的人一个接一个发财。今天听说这个赚了多少,明天又听说那个翻了多少。 大家坐在一起,总爱说一句:“再等等,给好运一点时间…

28 Sept 2026, 12:05 UTC≈2,800 views1 reactionsread 28 September 2026
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#意大利资讯:AI冒充高管克隆声音,银行被骗9500万欧元 据消息人士披露,诈骗分子利用AI技术冒充高管,从意大利最大银行Intesa Sanpaolo旗下的私人银行Fideuram盗走9500万欧元(约1.08亿美元)。 今年2月,诈骗团伙伪造集团CEO的即时通讯信息,并利用AI深度克隆知名律师声音拨打电话,诱导时任Fideuram董事长保罗·莫莱西尼安排向中国内地及香港等地的海外账户转账。 银行随后发现异常并报警,经多国执法合作成功追回约5300万欧元,但仍有约3600万欧元经多国账户清洗并兑换为加密货币后下落不明。 高管团队未被调查,莫莱西尼已于3月辞职。米兰检方目前已对一名涉案的外籍嫌疑人展开调查。

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28 Sept 2026, 12:02 UTC≈2,500 views1 reactionsread 28 September 2026
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Bitget CEO:黑客转出资产约3.88亿美元,保护基金将补足至3亿美元以上 9月28日消息,Bitget CEO Gracy Chen 在直播中表示,攻击者利用第三方安全产品漏洞窃取内网凭证权限,向钱包系统伪造提现指令,绕过风控校验。私钥未泄露,冷钱包未受影响。目前漏洞已修复,事件已得到完全控制。 经确认,被转出资产约3.88亿美元,攻击者地址及链上追踪数据已公开发布。Gracy Chen 表示,本次损失将全部由用户保护基金承担,Bitget 将在基金动用后一周内将保护基金补足至至少3亿美元。 目前,Bitget 已启动资产追回相关计划,并将向行业相关方同步已确认的漏洞和攻击信息。

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Showing the 12 most recent of 1,206 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.