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Channel
东南亚曝光吃瓜 新闻
@DNYXS88
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
45,476subscribers
-1,888 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001634706681 |
|---|---|
| Type | Channel |
| Username | @DNYXS88 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚曝光吃瓜娱乐频道专注于东南亚华人最新动态资讯,生活故事分享,让你看尽海外华人大小事。 曝光澄清免费 删帖悬赏付费 本频道只负责发布,自行甄别⭐️🌟✨ 曝光投稿商务合作 @yangyang0029 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/DNYXS88 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 23:37 | 45,476 | -299 |
| 13 Aug 2026, 14:17 | 45,775 | -237 |
| 12 Aug 2026, 17:23 | 46,012 | -73 |
| 11 Aug 2026, 18:43 | 46,085 | -279 |
| 10 Aug 2026, 19:21 | 46,364 | -283 |
| 9 Aug 2026, 20:55 | 46,647 | -268 |
| 8 Aug 2026, 18:23 | 46,915 | -327 |
| 7 Aug 2026, 18:33 | 47,242 | -122 |
| 7 Aug 2026, 09:17 | 47,364 | first reading |
Engagement
129 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
- 0.676%
- avg views ÷ 45,476 subscribers
- Avg views / post
- 308
- 129 posts measured
- Reaction rate
- 9.62%
- reactions ÷ views · ER floor
- Posts in window
- 129
- of 129 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 90 of 129 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 129 (7 August 2026 – 15 August 2026) |
| Views total | 39,684 |
| Reactions total | 2,381 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 02:55 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
- ≈9,960
- Videos
- ≈1,270
- Links
- ≈75
Lifetime counters from Telegram’s own channel header, read 16 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
- 0s
- Average length
- 0s
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
2,381 reactions across 90 posts, in 8 distinct kinds. The most used accounts for 20.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 496 | 20.8% | |
| ❤ | 475 | 19.9% | |
| 😁 | 475 | 19.9% | |
| 🔥 | 469 | 19.7% | |
| 🎉 | 463 | 19.4% | |
| 🍌 | 1 | 0.042% | |
| 💔 | 1 | 0.042% | |
| 🥰 | 1 | 0.042% |
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 90 of the 129 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 2,381reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 129 most recent posts we hold, published 7 August 2026 to 15 August 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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❤9🎉5🔥5😁3👍2
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❤7👍5😁5🎉4🔥3
✅2026年的6月20日,通过王总进入这家名为“君悦汇”的公司,位于亚洲大厦六楼。 入职期间,公司没有发过一次工资。期间多次询问财务,给出的回答一直都是“今天、明天、大后天”;管理人员也是回复“过段时间”。 我们全部都是贴钱上班,吃喝拉撒、住宿、签证费用,全部都是自己承担。一直祈求公司可怜一下,发一点生活费,但公司一分钱都不发。从业以来,从未见过如此恶心的黑心公司。公司老板好像叫什么严总,目前由王总负责管理。 希望广大网友帮忙曝光、抵制这种黑心公司。这家公司一点人性都没有,二十个DJ全部没有拿到一分钱工资。日本人都没这么惨过,贴钱打黑工,真的是令人无法接受。
🔥9🎉8👍5❤4😁4
✅西港警方查获逾5公斤毒品及化学品,6名外籍嫌犯或面临终身监禁 西港警方宣布,近日成功侦破一起重大涉外毒品案,在西港某酒店及武术训练俱乐部抓获6名外籍男子(1名中国籍、5名越南籍),当场查获冰毒等各类毒品、疑似毒品及制毒化学物质超5公斤,另缴获电子秤、卷烟机等一批作案工具。 西港检察官审查后,以非法贩运毒品、合谋贩毒及非法吸毒等罪名正式起诉6名嫌犯,并于8月12日移交法院审理。 根据柬埔寨《毒品管制法》,若贩毒罪名成立,涉案人员最高可被判处终身监禁。 被抓后没少挨揍~~脸都花了~~
✅金三角特区内的物业已经陆续开始发出通知。 物业会不定时抽查,发现电诈会直接上报治安局(抽查估计会包括证件问题)。 PS:特区内的小伙伴还好吗,被逮住就要天天吃稀饭白馒头了
Showing the 12 most recent of 129 posts we hold for @DNYXS88. 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 — 1,408,447 of 1,481,217entries 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.
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.
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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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚曝光吃瓜 新闻” (@DNYXS88), 45,476 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/DNYXS88.
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.