柬埔寨又一家银行进入清算 10月1日,吴哥资本专业银行(Angkor Capital Specialized Bank)进入清算程序。根据清算通知,该银行债权人须在10月29日前提交债权申报,逾期可能影响后续清偿权益。 这是近期柬埔寨金融业又一起银行清算个案。相关债权人需按清算程序准备证明文件,并在规定期限内完成申报。 ✅ 东南亚有话说 @db933 ✅ 商务合作 @yy261
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Channel
@db933
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
200,549subscribers
+32,581 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001452261851 |
|---|---|
| Type | Channel |
| Usernames | @baoguangtai001 @baoguangtai110 @baoguangtai9 @db933 @xinw9 |
| Description | #东南亚 #全网 #曝光 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #马来西亚 #新闻资讯 #海外华人 #热点新闻 🌏东南亚有话说频道专注于海外华人最新动态 热点新闻、生活故事、突发事件与华人投稿 本频道拒绝任何政治敏感内容,不刻意引导任何立场,请理性阅读。 ↗️全网最大吃瓜 @cg6669 ↗️东南亚有话说导航 @xinw10 🌟商务合作 @yy261 🌟投稿曝光 @bx658 |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 167 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/db933 |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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 |
|---|---|---|
| 9 Oct 2026, 00:57 | 200,549 | -79 |
| 8 Oct 2026, 13:57 | 200,628 | -39 |
| 8 Oct 2026, 12:36 | 200,667 | +187,171 |
| 7 Oct 2026, 09:35 | 13,496 | -186,863 |
| 6 Oct 2026, 01:18 | 200,359 | -887 |
| 4 Oct 2026, 15:15 | 201,246 | -635 |
| 4 Oct 2026, 05:42 | 201,881 | -46 |
| 4 Oct 2026, 03:19 | 201,927 | +187,585 |
| 2 Oct 2026, 10:54 | 14,342 | -188,679 |
| 30 Sept 2026, 17:21 | 203,021 | +1,070 |
| 26 Sept 2026, 12:59 | 201,951 | -685 |
| 25 Sept 2026, 13:41 | 202,636 | -39 |
| 25 Sept 2026, 11:37 | 202,675 | +2,918 |
| 19 Sept 2026, 09:54 | 199,757 | +2,945 |
| 18 Sept 2026, 15:17 | 196,812 | -200 |
| 18 Sept 2026, 05:40 | 197,012 | -580 |
| 17 Sept 2026, 11:39 | 197,592 | -584 |
| 17 Sept 2026, 07:19 | 198,176 | -601 |
| 16 Sept 2026, 20:36 | 198,777 | +150 |
| 16 Sept 2026, 04:20 | 198,627 | first reading |
1,181 posts held, back to 7 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 129 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 480 of 484 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 1,181 (7 August 2026 – 1 October 2026) |
| Views total | 4,211,091 |
| Reactions total | 75,025 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 08:48 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 9 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.
Measured directly from 294 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.
145,420 reactions across 994 posts, in 12 distinct kinds. The most used accounts for 16.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 23,826 | 16.4% | |
| 👍 | 23,429 | 16.1% | |
| 🎉 | 23,386 | 16.1% | |
| ❤ | 22,122 | 15.2% | |
| 😁 | 17,398 | 12.0% | |
| 🥰 | 7,667 | 5.27% | |
| 🤩 | 7,554 | 5.19% | |
| 💯 | 5,814 | 4.00% | |
| ❤🔥 | 5,754 | 3.96% | |
| 😍 | 5,594 | 3.85% | |
| ⚡ | 1,441 | 0.991% | |
| 👏 | 1,435 | 0.987% |
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 995 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 145,420 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 15 August 2026 to 1 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @db933. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 15 August 2026 to 1 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
柬埔寨又一家银行进入清算 10月1日,吴哥资本专业银行(Angkor Capital Specialized Bank)进入清算程序。根据清算通知,该银行债权人须在10月29日前提交债权申报,逾期可能影响后续清偿权益。 这是近期柬埔寨金融业又一起银行清算个案。相关债权人需按清算程序准备证明文件,并在规定期限内完成申报。 ✅ 东南亚有话说 @db933 ✅ 商务合作 @yy261
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西港警方突袭涉诈别墅 逮捕26名中国人等共34人 9月29日下午,西港警方对海豚一栋涉嫌网络诈骗的别墅展开突击搜查,现场带走34名涉案人员(33男1女)。 经查,涉案人员来自4个国家,包括中国籍26人、韩国籍5人(含唯一1名女性)、柬埔寨籍2人及马来西亚籍1人。警方在现场查获一批涉嫌用于网络诈骗的作案工具。 目前,案件正由警方进一步深入调查处理。 说好没官宣的,来了又~~
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#最新消息:西港太子寰宇楼下被扔下来的手机,现在宪兵已经过来搜寻了,看来今天被抓的这波人跑不了了
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#太子寰宇最新状况:目前还在查哦,看样子快结束了。#大丰收 ✅ 东南亚有话说 @db933 ✅ 商务合作 @yy261
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#太子寰宇公寓最新状况:现在楼上都是警察,6楼抓了几十号人了。
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#网友反馈:西港大世界公寓酒店今天也来检查了,住酒店公寓的今天赶紧出门喝咖啡吧,有同胞从天和跑到太子以为安全了,没想到进去了出不来了!! ✅ 东南亚有话说 @db933 ✅ 商务合作 @yy261
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👌😍👌😀😀😀😀⚡⚡⚡⚡ 集团自营 7TPAY-菲律宾支付 ⚡⚡⚡⚡⚡⚡⚡⚡ 7天支付-7Tpay😘😘专注,稳定,汇率低 😘😘😘承接1类客户类型:信誉直盘(彩票、棋牌、体育、综合盘 )只接受正规BC资金,发现涉诈资金!一律冻结🥰 ☺☺☺ 原生钱包 Gcash 🌸😘 ☺☺☺ 原生钱包 PayMaya 🌸😘 😀😀😌😁😁😍😝😁😁😁😁 PHP 😀😀😌😁😁😍😝😁😁😁😁 PHP 🥲 一路畅通 飞一般的速度 💖 商务合作:@yy645 😀 🀄🀄🀄🀄💸💸💸💸 😚😚😚😚😚😚😚😚😚😚😚
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#网友投稿 西港太子寰宇检查 目前已经抓这么多 据说是抓打野的。
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Showing the 12 most recent of 1,181 posts we hold for @db933. 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.
@db933 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Named by 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@db933 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 11 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 22 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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚(有话说)|曝光日记” (@db933), 200,549 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/db933.
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.