Telegram RegisterThe public register of Telegram
Telegram profile photo for 东南亚大事件|大事件曝光

Channel

东南亚大事件|大事件曝光

@dnydsjcom

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

50,075subscribers

-27,848 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-1002143092907
TypeChannel
Username@dnydsjcom
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/dnydsjcom

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 50% 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
@dnydsjcom/2413 · this entry6 Aug 2026, 07:28 UTC@zh_Porn91/33866 Aug 2026, 07:28 UTC1.00under a minute
@dnydsjcom/2414 · this entry6 Aug 2026, 07:29 UTC@zh_Porn91/33876 Aug 2026, 07:29 UTC1.00under a minute
@dnydsjcom/2417 · this entry6 Aug 2026, 07:29 UTC@zh_Porn91/33906 Aug 2026, 07:29 UTC1.00under a minute
@dnydsjcom/2423 · this entry6 Aug 2026, 07:30 UTC@zh_Porn91/33966 Aug 2026, 07:30 UTC1.00under a minute
@dnydsjcom/2431 · this entry7 Aug 2026, 22:26 UTC@zh_Porn91/34007 Aug 2026, 22:26 UTC1.00under a minute
@dnydsjcom/2433 · this entry7 Aug 2026, 22:29 UTC@zh_Porn91/34047 Aug 2026, 22:29 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@zh_Porn9113 (8/8 hand-verifiable sample passed)1.00under a minute@zh_Porn91 (11–2)
@dongnanyabocaixinwen7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (7–0)
@DNYBCBG6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)
@dongnanyavip6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)
@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. 17 of the 17 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 19 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.

Views per post sit far below this size band

13.2 average views per post against 58,817 subscribers — an engagement rate of 0.022%. Across the 1,284 registered channels in the same cohort — 31,624–99,923 subscribers, posting mainly in Chinese — the middle half sit between 1.01% and 5.67%, with a median of 2.58%.

What this was computed from
Window30 days (28 August 2026 – 27 September 2026)
Posts measured436 of 436 published in the window (436 exact, 0 rounded by Telegram)
Views totalled5,745
Mature posts only0.069% over 14 posts read at least 24h after publication
Subscribers58,817 measured 17 September 2026
Cohortb31623:zho · 1,284 channels · p10 0.301% · p25 1.01% · p50 2.58% · p75 5.67% · p90 11.4%
Position in cohort0.468th percentile · 1/111 the cohort median
Uncertainty±0.049% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_source · err_low, last confirmed 27 September 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

50,07577,92363,9997 August 2026 — 77,923 subscribers7 August 2026 — 77,923 subscribers8 August 2026 — 77,619 subscribers9 August 2026 — 77,367 subscribers10 August 2026 — 76,821 subscribers11 August 2026 — 76,307 subscribers12 August 2026 — 76,023 subscribers13 August 2026 — 75,656 subscribers14 August 2026 — 75,298 subscribers16 August 2026 — 74,600 subscribers17 August 2026 — 74,096 subscribers18 August 2026 — 73,937 subscribers19 August 2026 — 73,721 subscribers20 August 2026 — 73,609 subscribers21 August 2026 — 73,551 subscribers22 August 2026 — 73,231 subscribers24 August 2026 — 72,930 subscribers25 August 2026 — 72,792 subscribers26 August 2026 — 72,665 subscribers27 August 2026 — 72,613 subscribers28 August 2026 — 72,523 subscribers29 August 2026 — 72,139 subscribers30 August 2026 — 71,704 subscribers31 August 2026 — 71,612 subscribers1 September 2026 — 71,435 subscribers2 September 2026 — 71,224 subscribers4 September 2026 — 70,997 subscribers6 September 2026 — 70,798 subscribers10 September 2026 — 67,785 subscribers12 September 2026 — 65,302 subscribers14 September 2026 — 63,290 subscribers15 September 2026 — 61,521 subscribers17 September 2026 — 58,817 subscribers27 September 2026 — 50,075 subscribers7 August 202627 September 2026
34 measurements spanning 51 days, net -27,848. 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 45,898–82,100 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
27 Sept 2026, 11:3750,075-8,742
17 Sept 2026, 18:1858,817-2,704
15 Sept 2026, 19:2261,521-1,769
14 Sept 2026, 00:5963,290-2,012
12 Sept 2026, 05:2265,302-2,483
10 Sept 2026, 01:4167,785-3,013
6 Sept 2026, 22:1770,798-199
4 Sept 2026, 08:3670,997-227
2 Sept 2026, 17:3471,224-211
1 Sept 2026, 13:4671,435-177
31 Aug 2026, 15:3571,612-92
30 Aug 2026, 17:3471,704-435
29 Aug 2026, 14:3572,139-384
28 Aug 2026, 12:5272,523-90
27 Aug 2026, 13:2572,613-52
26 Aug 2026, 10:4672,665-127
25 Aug 2026, 07:4272,792-138
24 Aug 2026, 06:0472,930-301
22 Aug 2026, 13:3373,231-320
21 Aug 2026, 03:1773,551first reading

Engagement

522 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.026%
avg views ÷ 50,075 subscribers
Avg views / post
13.2
436 posts measured
Reaction rate
37.8%
reactions ÷ views · ER floor
Posts in window
436
of 522 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 362 of 436 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 held522 (6 August 2026 – 27 September 2026)
Views total5,745
Reactions total1,784
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:05 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

Video runtime
1h 01m
Average length
37s

Measured directly from 98 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

1,900 reactions across 405 posts, in 10 distinct kinds. The most used accounts for 52.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,00652.9%
💯36719.3%
🔥31816.7%
👍1085.68%
⚡201.05%
🥰191.00%
🎉180.947%
😁180.947%
🤩170.895%
👏90.474%

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 415 of the 522 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 1,900 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 522 most recent posts we hold, published 6 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, 00:15 UTC10 viewsread 27 September 2026

#频道互推 #相似推荐 ------------------------------ 📢 缅甸缅北东南亚新闻曝光 📢 越南🫰胡志明市·河内·旅游攻略[新闻资讯] 📢 泰国华人柬埔寨新闻曝光 📢 泰国越南马来西亚新闻曝光 📢 柬埔寨新闻《柬埔寨曝光》 📢 东南亚新闻吃瓜 📢 西港日记 柬埔寨快讯 📢 东南亚风云大小事 📢 菲律宾快报 📢 东南亚金三角大事件 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

26 Sept 2026, 22:35 UTC8 viewsread 27 September 2026
Photo

SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸,直接输入关键词。 也可以从发现页继续浏览同类入口。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1002143092907_6555259108_soso_e838124c

26 Sept 2026, 20:43 UTC15 viewsread 27 September 2026
Photo

#大事件曝光 #东南亚曝光 #网友曝光 #傅钰博 千万网红,抖音,老白不喝酒,(白小贱),真名 傅钰博,联合东南亚诈骗集团,开设线上赌场,炸粉丝钱。 在国内,被抓陕西省渭南市潼关县公安冲到杭州,抓回陕西省。本人找关系,花了100万的钱,花钱把他救出来,结果他在警察局门口说,给把他放出来的,闹事,迫于压力,我将100万退还了80万,其中20万是律师费用,签合同,所以并没有退。然后各种侮辱我。后来,在泰国,被我抓到,我打了他,出了气。他说他不会报警,不会找我麻烦,和我的事情从此结束了解。结果我走了以后,他马上报警,并且给钱,让警察找我,属实是小人行为。现在,我代表CNC武装负责人,宣布对此事负责。我只希望,他的所有犯罪能够得到该有的惩罚。他得到他该有的惩罚时,我也会主动回国,为我犯的错买单。当别人钻了法律的漏洞时,只能用最原始的方式,让他得到惩罚 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————…

26 Sept 2026, 19:35 UTC16 views3 reactionsread 27 September 2026
Photo

#东南亚曝光 #曝光黑平台 #90体育:承诺 20 点返点 拉完人即翻脸拖欠 主动邀约做代理,明确承诺下级亏损按20 个点结算返佣!按要求拉人完成推广后,到结算期却迟迟不打款;多次沟通全是借口推诿、反复扯皮,当初承诺形同虚设 —— 摆明是利用返点为诱饵骗流量、拉人头,到手就赖账! 以高额返点为噱头、结算期拖延 / 失联、规则说变就变 —— 全是杀猪盘常用套路!别信口头承诺,保留聊天 / 结算记录,已被拖欠的联合维权!扩散警惕,别再上当! 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

❤3

26 Sept 2026, 19:18 UTC9 views2 reactionsread 27 September 2026
Forwarded from @dnybocai88Photo

😀😀😀😀😀😀😀😀😀😀😀😀😀 😀【7T.COM】全球公认最稳! 😀😀😀😀😀😀😀😀😀😀 😀380亿U出款见证,持续为用户提供稳定可靠体验 😀😀😀😀😀😀😀😀😀😀 😀行业领先出款效率,58秒见证极速服务体验。 😀😀😀😀😀😀😀😀😀😀😀😀 持续稳定增长,都是各位老板的信任见证。 😀😀😀😀😀😀😀😀😀😀😀 实力积累,赢得行业各老板的认可。 😀😀😀😀😀😀😀😀😀😀 每月千万美金投入,致力打造行业品牌标杆。 😀😀😀😀:【7T.COM】 😀😀😀😀:【官方飞投】 😀😀😀😀:【@uuu7t】 😀😀😀😀😀😀😀😀😀😀😀

❤2

26 Sept 2026, 19:17 UTC14 views5 reactionsread 27 September 2026
Video

#巴基斯坦:NCCIA已查22处非法呼叫中心,180多人被捕 9月26日,NCCIA Karachi Additional Director Tariq Nawaz接受SAMAA TV采访时表示,近期针对卡拉奇非法呼叫中心持续展开打击 目前已对22处非法呼叫中心采取行动,连同负责人在内共抓获180多名本地及外国籍人员; NCCIA称,针对市内其他涉嫌非法经营的呼叫中心,新一轮突击行动也将很快展开。目前180余名被捕人员的具体国籍构成、涉华人数、各案件地点及涉嫌诈骗模式尚未完整披露,暂不猜测。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

⚡3❤2

26 Sept 2026, 18:05 UTC12 views1 reactionsread 27 September 2026
Forwarded from @dnybocai8Photo

😀😀😀😀😀 😀😀😀😀😀 😀近亿域名价值 锚定品牌根基 😀百年雄心大计 建立长久信誉 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀新用户累计首周包赔突破1000万U 😀重磅福利投入,打造行业领先用户保障体系 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀 NO钱包5000万U担保加持,雄厚实力护航,官网权威验证(NO.COM) 😀😀😀😀😀😀😀😀😀😀 😀 全球玩家信赖选择 平台实力持续领航 😀😀😀😀😀😀😀😀😀😀😀 😀 知名免费能量赞助商 @hu520 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀【9G.COM】 😀😀😀😀【@uu9g_bot】 😀😀😀😀😀😀😀😀😀😀😀

❤1

26 Sept 2026, 11:50 UTC14 views1 reactionsread 26 September 2026
Video

#泰国新闻 当局无力应对年年洪灾,民众只剩祈祷 曼谷因暴雨持续,多地年年反复发生内涝,但相关负责人未能采取有效防范措施,民众的不满与失望情绪不断高涨。 目前,包括拉差达披色路、明武里、Lat Krabang 及东部路段在内的超过15个地点发生内涝,车辆通行几乎瘫痪,交通仍十分困难。 “如果当局已无力防范年年遭遇的洪灾,那留给民众的就只剩祈祷了。”民众的这类批评声音,再次凸显了城市管理和排水系统的薄弱。 菩萨 : 我要是有这个能力保佑你们,我就不用被泡在水里了。 投稿曝光澄清➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

🔥1

26 Sept 2026, 11:50 UTC10 views1 reactionsread 26 September 2026
Photo

#币圈资讯 比特币第三季度暂涨逾四成,涨幅位居历年同期前列 截至2026年9月26日,比特币第三季度累计上涨约43.4%。按2011年以来的季度数据比较,这一阶段性涨幅暂列同期第三,低于2012年的82.6%和2017年的74.1%。 若将统计范围限定为2013年以来,今年第三季度迄今的涨幅则排名第二,仅次于2017年。 第三季度将于9月30日结束,最终涨幅和排名仍取决于季度收盘价格。 投稿曝光澄清➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

🔥1

26 Sept 2026, 11:50 UTC3 views1 reactionsread 26 September 2026
Forwarded from @dnybocai88Photo

🕐🕑😁😀🤩😨🤔🥳🙄🤯 🥺😢😠😱😰😮🤢🤝👍 👋👀☀️❤️‍🔥👋💝⭐💵💶 🥴新会员豪礼-全网福利最多 💨首周亏损包赔100%放心赢 💨首存100送30 / 500送78 💨首投二三存再赠送 8888 💨注册满3/7/15天再送5888 💨每月逢“8”现金大反馈自动派发 💨🥝更多福利点击查看🥝 🤎🏅❤️✔️❌🎼💬🚽 🥴老用户福利: 💨老会员回归三大礼等你来拿 💨电子狂欢每日首存赠送10% 👩🏻‍💼存款后联系在线客服申请 🌈飞投一键登入 无需注册🌈 —————————————— 🕺人民币 玩家专属注册通道 🐾 USDT 玩家专属注册通道 —————————————— 🤩客服:@HQKF1 🤩频道:@HQYL88 🤩招商:@HQZS88 🤩官网:8592.COM 😘无需下载,无需绑卡,轻松畅玩! 😘提现秒到,资金雄厚,安全可靠! 😘官方数据实时同步:公平 公正 透明 😘支持 🤪 和 🕺充提 无需实名认证

🔥1

26 Sept 2026, 11:49 UTC9 views1 reactionsread 26 September 2026
Photo

北京时间(9月26日)中午 12 点,Bybit 恢复提现! 投稿曝光澄清➡️@dnybaoguangbot —————————————————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

🔥1

26 Sept 2026, 11:49 UTC5 views1 reactionsread 26 September 2026
Forwarded from @dnybocai88Photo

😀😀😀😀😀😀😀😀😀😀😀😀😀 😀【7T.COM】全球公认最稳! 😀😀😀😀😀😀😀😀😀😀 😀380亿U出款见证,持续为用户提供稳定可靠体验 😀😀😀😀😀😀😀😀😀😀 😀行业领先出款效率,58秒见证极速服务体验。 😀😀😀😀😀😀😀😀😀😀😀😀 持续稳定增长,都是各位老板的信任见证。 😀😀😀😀😀😀😀😀😀😀😀 实力积累,赢得行业各老板的认可。 😀😀😀😀😀😀😀😀😀😀 每月千万美金投入,致力打造行业品牌标杆。 😀😀😀😀:【7T.COM】 😀😀😀😀:【官方飞投】 😀😀😀😀:【@uuu7t】 😀😀😀😀😀😀😀😀😀😀😀

🔥1

Showing the 12 most recent of 522 posts we hold for @dnydsjcom. 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 3 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 27 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” (@dnydsjcom), 50,075 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/dnydsjcom.

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.