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Channel
东南亚大事件📬
@SEATrending
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
9,074subscribers
+763 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002313487311 |
|---|---|
| Type | Channel |
| Username | @SEATrending |
| Description | 关注【东南亚大事件】,每天为您精选东南亚最新新闻、商业动态、科技发展与政策变化。无论您身在何处,都能快速了解区域局势,把握投资与合作机遇。 📬 广告联系方式: @dnydsjgl |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/SEATrending |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 20:24 | 9,074 | +32 |
| 21 Aug 2026, 02:58 | 9,042 | +77 |
| 18 Aug 2026, 11:38 | 8,965 | +86 |
| 15 Aug 2026, 05:52 | 8,879 | +332 |
| 11 Aug 2026, 20:02 | 8,547 | +204 |
| 8 Aug 2026, 13:45 | 8,343 | +32 |
| 8 Aug 2026, 00:01 | 8,311 | first reading |
Engagement
434 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 23 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.021%
- avg views ÷ 9,074 subscribers
- Avg views / post
- 1.9
- 277 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 434
- of 434 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.
| Window | Rolling 30 days · latest post in window 26 August 2026 |
|---|---|
| Posts held | 434 (7 August 2026 – 26 August 2026) |
| Views total | 519 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 08:24 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
- ≈24,500
- Videos
- ≈18,600
- Links
- ≈37,200
Lifetime counters from Telegram’s own channel header, read 26 August 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
- 10m 05s
- Average length
- 11s
Measured directly from 57 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.
Recent posts
✈️ 全球TG号码资源 · 稳定直登/协议号供应 🥱多国家长期号段|适合注册 / 养号 / 项目需求 ━━━━━━━━━━━━━━ 😐 热门国家号段资源 🇻🇳 越南 +84 |8-10个月|💰0.9 🇵🇰 巴基斯坦 +92|10个月|💰0.75 🇱🇰 斯里兰卡 +94|半年|💰1.38 🇲🇱 马里 +223|7个月|💰0.95 🇲🇿 莫桑比克 +258|长期|💰0.5 🇰🇭 柬埔寨 +855|3个月|💰0.55 🇧🇩 孟加拉 +880|10个月|💰0.80 🇮🇩 印尼 +62|10个月|💰1.30 🇸🇾 叙利亚 +963|6个月|💰1.40 🇧🇾 白俄罗斯 +375|半年|💰1.40 🇵🇪 秘鲁 +51|4个月|💰1.20 ━━━━━━━━━━━━━━ 👍 欧美热门号段 🇬🇧 英国 +44 |💰0.85 🇺🇸 美国 +1 |半年|💰0.75 🇨🇦 加拿大 +1 |半年|💰0.75 🇺🇦 乌克兰 +380 |💰0.75 ━━━━…
东南亚大事件📬 pinned a GIF
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东南亚大事件📬 pinned a photo
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#网友投稿:金三角特外的快捷酒店,据说里面应该有狗推办公。 这几天晚上明显人和车多了很多很多。我刚在隔壁吃饭的时候看到很多警察已经堵在电梯门口了 关注大事件频道➡️ @Svip 投稿:@dny555555
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#韩国新闻 在韩失联中国女留学生确认遇害,涉案中国籍男讲师被捕 韩国警方8月26日公布最新调查进展,此前在韩国失联的25岁中国女留学生已确认遇害。涉嫌杀人的30多岁中国籍男子已被捕,该男子还是女生就读研究生院的讲师。 女生今年6月从韩国大邱加图立大学研究生毕业,8月14日再次入境韩国参加学位授予活动并领取毕业证。家属介绍,她已经在国内找到工作,原计划8月23日从仁川飞回长春,随后前往新单位报到。 警方调取监控后发现,8月20日下午2时左右,女生与嫌疑男子一同进入韩国庆尚北道庆山市河阳邑的男子住处,此后再未离开。 女生进入住处后,嫌疑男子换上女生的衣服并戴帽遮住面部,独自前往东大邱站,途中还携带女生手机并将手机关机。随后,他在东大邱站附近换回男装,又返回自己的住处。 8月21日,嫌疑男子主动向警方报案,自称是女生的男友,称女生前往大邱后失去联系。警方追查女生行踪时发现异常,随后将调查方向转向该男子。 8月25日晚7时3…
东南亚大事件📬 pinned a GIF
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东南亚大事件📬 pinned a photo
Showing the 12 most recent of 434 posts we hold for @SEATrending. 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.
Citation-graph rank
Citation-graph rank — 408,526 of 1,603,893entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@SEATrending named 2 handles 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.
Evidenced gone
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.
named in 11 posts, 8 August 2026 – 24 August 2026 · confirmed gone 12 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 8 posts, 8 August 2026 – 24 August 2026
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件📬” (@SEATrending), 9,074 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/SEATrending.
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.