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Channel

东南亚大事件|大事件曝光

@dongnanyavip

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

81,681subscribers

-5,858 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-1002299502184
TypeChannel
Username@dongnanyavip
Description#东南亚大事件: 新闻、头条、曝光、爆料、悬赏、☎️商务: @dnyouwen 聚焦东南亚华人圈的最新新闻事件,深度揭秘灰产内幕,记录真实故事,不间断追踪区域内外的动态变化。
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/dongnanyavip

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 85% 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 5 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
@DNYBCBG/81956 Aug 2026, 10:37 UTC@dongnanyavip/8683 · this entry6 Aug 2026, 10:37 UTC1.00under a minute
@DNYBCBG/81987 Aug 2026, 22:25 UTC@dongnanyavip/8686 · this entry7 Aug 2026, 22:25 UTC1.00under a minute
@DNYBCBG/82007 Aug 2026, 22:26 UTC@dongnanyavip/8688 · this entry7 Aug 2026, 22:26 UTC1.00under a minute
@DNYBCBG/82027 Aug 2026, 22:29 UTC@dongnanyavip/8690 · this entry7 Aug 2026, 22:29 UTC1.00under a minute
@DNYBCBG/82047 Aug 2026, 22:30 UTC@dongnanyavip/8692 · this entry7 Aug 2026, 22:30 UTC1.00under a minute
@DNYBCBG/82097 Aug 2026, 22:54 UTC@dongnanyavip/8697 · this entry7 Aug 2026, 22:54 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DNYBCBG6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)
@dongnanyabocaixinwen6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (5–1)
@dnydsjcom6 (6/6 hand-verifiable sample passed)1.00under a minute@dnydsjcom (6–0)
@zh_Porn916 (6/6 hand-verifiable sample passed)1.00under a minute@zh_Porn91 (5–1)
@Laosijibaikezixun6 (6/6 hand-verifiable sample passed)1.00under a minute@Laosijibaikezixun (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. 18 of the 18 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 6 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 6, the earliest publisher we hold is @zh_Porn91. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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 5 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

81,68187,53984,6107 August 2026 — 87,539 subscribers7 August 2026 — 87,539 subscribers8 August 2026 — 87,327 subscribers9 August 2026 — 87,105 subscribers10 August 2026 — 86,924 subscribers11 August 2026 — 86,324 subscribers12 August 2026 — 86,058 subscribers14 August 2026 — 85,754 subscribers15 August 2026 — 85,534 subscribers17 August 2026 — 85,113 subscribers18 August 2026 — 84,729 subscribers19 August 2026 — 84,485 subscribers20 August 2026 — 84,361 subscribers21 August 2026 — 84,338 subscribers22 August 2026 — 84,244 subscribers24 August 2026 — 84,187 subscribers25 August 2026 — 84,082 subscribers26 August 2026 — 83,950 subscribers27 August 2026 — 83,904 subscribers28 August 2026 — 83,875 subscribers29 August 2026 — 83,761 subscribers30 August 2026 — 83,531 subscribers31 August 2026 — 83,424 subscribers1 September 2026 — 83,348 subscribers2 September 2026 — 83,011 subscribers3 September 2026 — 82,879 subscribers5 September 2026 — 82,812 subscribers8 September 2026 — 82,580 subscribers11 September 2026 — 82,419 subscribers12 September 2026 — 82,225 subscribers14 September 2026 — 82,070 subscribers16 September 2026 — 81,911 subscribers19 September 2026 — 81,681 subscribers7 August 202619 September 2026
33 measurements spanning 42 days, net -5,858. 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 80,802–88,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 01:5981,681-230
16 Sept 2026, 13:2081,911-159
14 Sept 2026, 15:3982,070-155
12 Sept 2026, 23:4182,225-194
11 Sept 2026, 03:0182,419-161
8 Sept 2026, 04:3782,580-232
5 Sept 2026, 00:5882,812-67
3 Sept 2026, 06:5882,879-132
2 Sept 2026, 04:3383,011-337
1 Sept 2026, 03:4783,348-76
31 Aug 2026, 04:5583,424-107
30 Aug 2026, 08:1883,531-230
29 Aug 2026, 05:5583,761-114
28 Aug 2026, 03:0483,875-29
27 Aug 2026, 03:4483,904-46
26 Aug 2026, 05:2983,950-132
25 Aug 2026, 08:0384,082-105
24 Aug 2026, 11:0584,187-57
22 Aug 2026, 21:4784,244-94
21 Aug 2026, 09:5884,338first reading

Engagement

411 posts held, back to 6 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.032%
avg views ÷ 81,681 subscribers
Avg views / post
25.8
362 posts measured
Reaction rate
40.0%
reactions ÷ views · ER floor
Posts in window
362
of 411 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 343 of 362 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 24 September 2026
Posts held411 (6 August 2026 – 24 September 2026)
Views total9,351
Reactions total3,487
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 13:33 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
≈7,160
Videos
≈1,460
Links
≈4,150

Lifetime counters from Telegram’s own channel header, read 24 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 00m
Average length
43s

Measured directly from 85 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

3,653 reactions across 376 posts, in 6 distinct kinds. The most used accounts for 59.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,17359.5%
💯78121.4%
🔥57115.6%
👍1173.20%
🤮60.164%
👎50.137%

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 379 of the 411 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 3,653 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 411 most recent posts we hold, published 6 August 2026 to 24 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

24 Sept 2026, 11:52 UTC17 views3 reactionsread 24 September 2026
Photo

花旗降澳門9月賭收預測至180億澳門元 「賭枱調查結果近年最差之一」 澳門9月首20日博彩毛收入約為122億澳門元,日均收入約6.1億澳門元。期內,貴賓廳投注額按月下跌約15%至18%,中場博彩收入則按月減少約13%至16%。 澳門博彩業惟市況或較預期更疲弱。花旗將月內博彩毛收入預測,由190億澳門元下調至180億澳門元,按最新估算,澳門第三季博彩毛收入料按年下跌4%。花旗形容,9月澳門賭枱調查結果是近年最差之一。 花旗發表報告指,據其觀察,澳門賭場投注氣氛普遍較三個月前世界盃揭幕時冷清,但現階段仍無法確定市況疲弱的原因,亦難以判斷是玩家消費意欲下降,還是調查時機不利所致。 投稿曝光➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

❤2🔥1

24 Sept 2026, 11:44 UTC18 views3 reactionsread 24 September 2026
Photo

英国官员视察干拉省“#金财”园区 强调英柬合作打击网诈 英国国务大臣汉森勋爵视察了干拉省已关闭的“金财”前网诈园区。英国驻柬埔寨大使馆发文表示,英方将继续同柬埔寨及国际伙伴紧密合作,共同向网诈网络及其利益相关者施加压力。 文章指出,该园区的关闭是英国实施制裁与柬政府联合执法取得的成果。双方正深入推进合作,着力查处幕后组织者、切断非法资金链,并加强受害者保护。 投稿曝光➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

❤2🔥1

24 Sept 2026, 11:44 UTC11 views3 reactionsread 24 September 2026
Photo

打击 #网络诈骗 国际会议圆满闭幕 会议通过《#金边宣言》 为期两天的“2026年打击网络诈骗国际会议”(ICCOS-2026)今天圆满闭幕,会议正式通过《金边宣言》。 该宣言呼吁国家、区域及全球层面共同采取行动,重点推进11项核心议题:包括深化国际合作、切断犯罪链条、追缴犯罪所得、拥抱技术创新、完善法律法规、提升能力建设、加强公私合作、保护人贩受害者、落实免受惩罚原则、预防诈骗与人口贩运,以及彻底铲除大型诈骗窝点与相关基础设施。 会议闭幕了那些喊开工的会开工吗? 投稿曝光➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

❤2🔥1

24 Sept 2026, 11:43 UTC6 views3 reactionsread 24 September 2026
Forwarded from @dnybocai88Photo

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❤2🔥1

24 Sept 2026, 11:40 UTC13 views3 reactionsread 24 September 2026
Photo

小易支付清算人发公告 受柬埔寨国家银行指定,负责“#小易支付”(CoolCash Cambodia)清算工作的Morison Kak MKA Audit-Accounting公司发布公告,通知该公司所有汇款人和债权人,须自2026年9月28日起的30天内,提交个人及债权申诉等相关资料。 相关人员须本人或委托律师,前往位于金边市万景岗一分区的小易支付总部提交证据并进行清算申报。逾期未申报者将失去索赔权利。 投稿曝光➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

❤2🔥1

24 Sept 2026, 11:40 UTC6 views3 reactionsread 24 September 2026
Forwarded from @dnybocai8Photo

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❤2🔥1

24 Sept 2026, 08:46 UTC34 views14 reactionsread 24 September 2026
Photo

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❤7🔥7

24 Sept 2026, 08:42 UTC9 views13 reactionsread 24 September 2026
Forwarded from @TByulecomVideo

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❤7🔥6

23 Sept 2026, 22:20 UTC15 viewsread 24 September 2026
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刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。 🔗 本频道专属邀请链接 https://t.me/sososo?start=autopromo_-1002299502184_7622194705_channels_57fd90d3

23 Sept 2026, 18:43 UTC25 views3 reactionsread 24 September 2026
Photo

#大事件曝光 #大發娛樂 #黑款20万 网友曝光大发娱乐4888提现难题!一位玩家通过其USDT无风控通道充值3万余元,正常玩百家乐时赢钱,申请提现却被拒。客服要求下载ABPay绑定后,申请提现20.2万元再遭拒,理由是“部分注单系统稽查”,审核时间含糊。更令人气愤的是,客服一边拒绝提现,一边催促继续充值、增加活跃度。该玩家期间又赢得约4万元,但账户面临更严苛限制:需投注120万元以上才能提现,甚至显示“已被禁止领取”。累计有效投注81.6万元,充值3万多,流水超80万,现在20多万难以提现,却被要求继续充值。相关充值、投注、提款取消及客服对话截图均已保存。若大发娱乐认定违规,请公开违规注单及规则,否则应正常支付奖金。 ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️ 曝光爆料投稿➡️@dnybaoguangbot 东南亚负责人➡️ @dnyouwen

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23 Sept 2026, 18:41 UTC8 views3 reactionsread 24 September 2026
Forwarded from @dnybocai88Photo

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Showing the 12 most recent of 411 posts we hold for @dongnanyavip. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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.

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

“东南亚大事件|大事件曝光” (@dongnanyavip), 81,681 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dongnanyavip.

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.