#频道互推 #相似推荐 ------------------------------ 📢 Ⓜ麻豆国产剧情看片 📢 AI短剧动漫&真人 📢 东南亚吃瓜悬赏令 📢 东南亚悬赏曝光 📢 【柬埔寨】新闻吃瓜 📢 东南亚中文吃瓜事件【大曝光】 📢 缅甸缅北吃瓜新闻曝光 📢 东南亚华人曝光 📢 东南亚吃瓜.新闻.曝光【南洋瓜讯局】 📢 东南亚曝光日记 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

Channel
东南亚曝光💥大事件曝光💥
@dnybgcom
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
22,881subscribers
+20,963 since we began measuring on 26 September 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002685068383 |
|---|---|
| Type | Channel |
| Username | @dnybgcom |
| Description | #东南亚大事件 #大事件曝光#新闻头条☎️东南亚大事件商务: @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。 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 September 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/dnybgcom |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 16:15 | 22,881 | +20,963 |
| 26 Sept 2026, 22:22 | 1,918 | first reading |
Engagement
42 posts held, back to 26 September 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 5 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.027%
- avg views ÷ 22,881 subscribers
- Avg views / post
- 6.1
- 42 posts measured
- Reaction rate
- 25.6%
- reactions ÷ views · ER floor
- Posts in window
- 42
- of 42 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 29 of 42 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 October 2026 |
|---|---|
| Posts held | 42 (26 September 2026 – 6 October 2026) |
| Views total | 257 |
| Reactions total | 43 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 14:04 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
- ≈2,610
- Videos
- ≈627
- Links
- ≈1,820
Lifetime counters from Telegram’s own channel header, read 6 October 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
- 3m 40s
- Average length
- 24s
Measured directly from 9 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
43 reactions across 27 posts, in 3 distinct kinds. The most used accounts for 39.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 17 | 39.5% | |
| 👍 | 16 | 37.2% | |
| ❤ | 10 | 23.3% |
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 29 of the 42 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 26 September 2026 to 6 October 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
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#柬埔寨新闻 波贝30层大楼突查587人,官方改口:查的是网络博彩,不是电诈窝点 10月5日,柬埔寨内政部对波贝587人案重新说明:10月4日突查的30层大楼涉及的是网络游戏博彩,并非此前所说的网络诈骗窝点。 10月4日,柬埔寨国家警察联合班迭棉吉省有关部门突查波贝市一栋30层建筑,共控制587人,其中105名女性。被控制人员以印度尼西亚籍为主,共518人,其余包括泰国籍和柬埔寨籍人员。 内政部副发言人杜速卡表示,早期媒体对案件性质的表述出现混淆,这次行动查的是网络游戏博彩,不属于网络诈骗科技犯罪。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️
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波贝当局继续做行政检查,查了3个点,发现外籍人员22人,但都和网络诈骗无关。 #柬埔寨新闻 10月5日,波贝市当局会同相关部门,在波贝分区和中央市场分区共检查3处住所,发现外籍人员22人在住,但均未涉及网络诈骗。 行动由班迭棉吉省省长温拉特里直接下令,省初级法院检察官代表协调。 波贝市报告称:副市长本西拉带队,在波贝分区查了1处,发现外籍人员16人,其中女性2人,全部为印尼籍,证件齐全,与网络诈骗无关。 在中央市场分区查了2处,发现外籍人员6人,其中女性3人,全部为中国籍,证件齐全,与网络诈骗无关。 PS:真没有了~~🤣 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️
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👍1
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👍1🔥1
Showing the 12 most recent of 42 posts we hold for @dnybgcom. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 5 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@dnydsjcom · 67,48223 posts东南亚大事件|大事件曝光
@dongnanyavip · 80,82923 posts小宝的能量基地
@hu520 · 1,3953 posts8T娱乐城 官方-频道
@www8tcom · 36,2913 posts环球娱乐-官方频道
@hqyl88 · 7,5432 posts成年人影库|高清资源每日更新
@cnryk · 1,4721 post全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 8,6341 postG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,3411 post东南亚大事件|华人新闻|热点爆料
@SEAUPD · 11,2751 postSOSO搜搜
@sosoo · 484,9551 postSOSO搜搜
@sososo · 567,6491 post涩涩备用群💋(防丢失)
@SSBYQ · 3791 post成人小说|情色小说|小说精选
@SYXS88 · 2,2271 postG7环球|官方福利俱乐部
@wwwG7com · 4,2831 post足球圈—G7.COM独家冠名
@zhuqiu7 · 2,4311 post
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚曝光💥大事件曝光💥” (@dnybgcom), 22,881 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/dnybgcom.
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.