# ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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Channel
@db2023dbg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
71,050subscribers
-67,887 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001890924813 |
|---|---|
| Type | Channel |
| Username | @db2023dbg |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/db2023dbg |
National news — 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 13 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 01:57 | 71,050 | -489 |
| 23 Oct 2026, 23:46 | 71,539 | -346 |
| 22 Oct 2026, 23:37 | 71,885 | -558 |
| 21 Oct 2026, 18:46 | 72,443 | -638 |
| 20 Oct 2026, 11:45 | 73,081 | -681 |
| 19 Oct 2026, 12:19 | 73,762 | -375 |
| 18 Oct 2026, 14:29 | 74,137 | -248 |
| 17 Oct 2026, 17:57 | 74,385 | -253 |
| 16 Oct 2026, 17:04 | 74,638 | -188 |
| 15 Oct 2026, 16:40 | 74,826 | -106 |
| 14 Oct 2026, 18:39 | 74,932 | -135 |
| 13 Oct 2026, 10:51 | 75,067 | -241 |
| 9 Oct 2026, 05:41 | 75,308 | -592 |
| 4 Oct 2026, 18:00 | 75,900 | -586 |
| 26 Sept 2026, 19:15 | 76,486 | -760 |
| 19 Sept 2026, 17:15 | 77,246 | -131 |
| 17 Sept 2026, 04:20 | 77,377 | +19,904 |
| 15 Sept 2026, 06:21 | 57,473 | -458 |
| 13 Sept 2026, 15:40 | 57,931 | -7,745 |
| 11 Sept 2026, 20:01 | 65,676 | first reading |
1,739 posts held, back to 12 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 144 pages 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 595 of 660 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 1,739 (12 August 2026 – 24 October 2026) |
| Views total | 1,613,016 |
| Reactions total | 14,011 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 19:43 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.
Measured directly from 379 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.
21,117 reactions across 894 posts, in 8 distinct kinds. The most used accounts for 20.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 4,316 | 20.4% | |
| 🎉 | 4,308 | 20.4% | |
| 👍 | 4,248 | 20.1% | |
| 😁 | 4,170 | 19.7% | |
| ❤ | 4,067 | 19.3% | |
| 🥰 | 4 | 0.019% | |
| 👏 | 2 | 0.009% | |
| 🤩 | 2 | 0.009% |
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 894 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 21,117 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 11 September 2026 to 24 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.
# ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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#群友爆料:今晚菲律宾帝景大楼被NBI端了,直接破门而入。最少抓了几十个狗推。 ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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#曝光这些所谓的国内救援团队 现在国内的那些救援团队以妙瓦迪救援的名义专门骗那些家属钱,基本上一单都能搞几十万人民币。 他们的套路就是先通过发布寻人或者曝光联系到所在的公司,公司赔付十万,报给家属就是20万起步。 然后收了家属的钱后又不想给公司赔付,就搞2个账号自导自演p图转账,公司那边没收到钱自然就不会放人。 结果这些骗子救援团队就拿着假的聊天记录和p图记录通过曝光试图让公司放人,如果公司放人了,那么家属给他们的几十万赔付就全部被骗子救援团队黑吃了。 后面这些骗子救援团队就会和家属说人是他们联系公司赔付就出来的,建议群里的警察叔叔们真的🉐严查这些所谓的救援团队。 这种骗家属的钱简直是灭绝人性。 ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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西港几个中国人犯案被抓 西港警方今天披露,近期抓获了一批违法犯罪嫌疑人,其中包括多名中国人。 据披露,这些中国人涉嫌犯罪行为包括:盗窃摩托车、非法持有武器、入室盗窃、购买手机不付款、盗窃未遂等等... ... 这些罪名活不下去了…… ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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#温馨提示:明天金边领导会下来西港,很多国家的人也会过来协助技术查一些地方。这几天大家需要更加注意安全🙏 ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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🇺🇸 美国FBI启动“断电行动” 主动打击国际网络诈骗窝点 为严厉打击全球高科技网络诈骗,美国联邦调查局(FBI)于昨天宣布启动“断电行动”(Operation Blackout),改变以往被动应对模式,转向主动出击发起主动打击。 FBI局长表示,该大型行动旨在查明并销毁所有企图诈骗美国公民的跨国犯罪网络。此前,“断电行动”已铲除20多个大型诈骗园区,依法没收相关资产超170亿美元,并成功保护逾1.1万名美国公民免受诈骗,挽回约6.75亿美元的经济损失。此举标志着美方执法部门打击跨国网络犯罪的战略重大转变。 ———————————— 东南亚新闻 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。
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Showing the 12 most recent of 1,739 posts we hold for @db2023dbg. 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚柬埔寨菲律宾华人新闻骗子曝光” (@db2023dbg), 71,050 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/db2023dbg.
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.