Channel
@dnybgcom
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,918subscribers
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002685068383 |
|---|---|
| Type | Channel |
| Username | @dnybgcom |
| Description | #东南亚曝光: 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。 |
| First recorded | 26 September 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 1 |
| On Telegram | t.me/dnybgcom |
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 22:22 | 1,918 | first reading |
7 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 1 page of Telegram’s post history, 20 posts per page.
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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 7 (26 September 2026 – 26 September 2026) |
| Views total | 28 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 22:22 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.
Lifetime counters from Telegram’s own channel header, read 26 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.
Measured directly from 1 video 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.
7 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 100.0% |
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 6 of the 7 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 26 September 2026 to 26 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.
#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 —————————— ———————…
#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 ➡️
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❤2
#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 ➡️
❤1
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❤1
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❤1
Showing the 7 most recent of 7 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.
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.
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.
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.
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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚曝光💥大事件新闻💥” (@dnybgcom), 1,918 subscribers as measured 26 September 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.