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Channel
东南亚大事件(曝光 新闻群
@dny68i
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
105,759subscribers
+7,611 since we began measuring on 2 September 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002681346117 |
|---|---|
| Type | Channel |
| Username | @dny68i |
| Description | 东南亚大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 本频道工作人员不会主动私聊任何飞机用户! #东南亚 #柬埔寨 #西港 #菲律宾 #缅甸 #泰国 投稿爆料: @dny68ifa 广告招租: @dny68ifa |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 2 September 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/dny68i |
Topic
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 14:00 | 105,759 | +3,169 |
| 23 Oct 2026, 15:17 | 102,590 | +4,667 |
| 22 Oct 2026, 12:09 | 97,923 | +757 |
| 21 Oct 2026, 08:20 | 97,166 | -22 |
| 20 Oct 2026, 07:56 | 97,188 | -42 |
| 19 Oct 2026, 09:09 | 97,230 | -107 |
| 18 Oct 2026, 08:44 | 97,337 | +36 |
| 17 Oct 2026, 07:59 | 97,301 | -37 |
| 16 Oct 2026, 04:35 | 97,338 | -40 |
| 15 Oct 2026, 01:36 | 97,378 | -31 |
| 13 Oct 2026, 22:07 | 97,409 | -119 |
| 10 Oct 2026, 15:01 | 97,528 | -149 |
| 6 Oct 2026, 11:37 | 97,677 | -129 |
| 1 Oct 2026, 09:59 | 97,806 | -463 |
| 18 Sept 2026, 06:56 | 98,269 | +194 |
| 15 Sept 2026, 23:17 | 98,075 | +9 |
| 14 Sept 2026, 07:16 | 98,066 | -1 |
| 12 Sept 2026, 16:41 | 98,067 | -9 |
| 10 Sept 2026, 15:36 | 98,076 | -30 |
| 7 Sept 2026, 15:39 | 98,106 | first reading |
Engagement
1,528 posts held, back to 2 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 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.016%
- avg views ÷ 105,759 subscribers
- Avg views / post
- 16.9
- 607 posts measured
- Reaction rate
- 3.70%
- reactions ÷ views · ER floor
- Posts in window
- 949
- of 1,528 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 5 of 607 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 | 1,528 (2 September 2026 – 24 October 2026) |
| Views total | 10,228 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 03:25 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
- ≈20,400
- Videos
- ≈4,510
- Links
- ≈9,770
Lifetime counters from Telegram’s own channel header, read 25 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.
- Video runtime
- 1h 03m
- Average length
- 14s
Measured directly from 272 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
5 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 60.0% | |
| 💩 | 1 | 20.0% | |
| 🤬 | 1 | 20.0% |
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 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 5 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 23 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.
Recent posts
东南亚大事件(曝光 新闻群 pinned a photo
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东南亚大事件(曝光 新闻群 pinned a photo
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#网友曝光:小勐拉 #股票盘口骨干 #黄霞 从精聊骗子到卖人吸毒赌博,一路黑到底的贵州女通缉犯 黄霞,贵州人,曾用名宁宁、小霞、笑笑,这畜生现在是小勐拉“山林人家”股票盘口的核心骨干,同时还是警方通缉的在逃人员。诈骗轨迹简直是一部黑心进化史,干的缺德事一件比一件狠。 一开始在木姐干国内精聊诈骗,期间沉迷赌博,输得精光,被男友甩了。转战老街赌场,继续赌,欠了一屁股“水钱”,直接被卖进园区做小姐,彻底堕落。 老街打起来后,这王八蛋谎称自己是破产老板,逃到小勐拉,继续靠借钱骗钱过日子。还用卖肉的手段色诱台湾人进园区参与电诈,做人没底线到家。 更恶心的是,一年里编造外婆去世两次,利用同情心到处借钱赌博,水果店、理发店的人钱都敢借,走人就不还。骗钱、吸毒、赌博、卖人,全套玩得溜,害了多少人。 这种人渣早晚得栽,警方通缉等着呢。东南亚混的兄弟们看见黄霞这名字,直接躲远点,别再让她继续祸害人。早日抓回去,让她为这些畜生事付出代价!…
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东南亚大事件(曝光 新闻群 pinned a photo
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东南亚大事件(曝光 新闻群 pinned a GIF
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Showing the 12 most recent of 1,528 posts we hold for @dny68i. 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.
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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@WWW6ACOM · 8,17452 posts122体育红单推荐,五大联赛
@tytd16 · 7,11948 posts122体育-官方频道
@tz228 · 6,64643 posts6G全球丨官方爆奖俱乐部
@ceo6g · 2,04537 postsN9.COM|官方频道
@N9_com1 · 13,16235 postsN9.COM 福利频道导航
@n9pd888 · 7,20735 posts2028体育-官方频道
@TY2028_8 · 11,69134 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 4,62932 posts8K国际官方福利频道
@a8K_99 · 6,04831 posts🔥金贝娱乐场-jinbei.com-【官方招商】🔥
@jbzhaoshang · 4,59921 posts6U.com|客服中心
@PG6U_com · 66620 posts6U.com|保证金查验教程
@WWW_6Ucom · 21420 posts【8K国际】足球、篮球,赛事推荐
@GF8KGJ · 6,74018 posts2G官方频道
@GF2Gcom · 24416 postsY3国际 五大联赛 推单频道
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@www9u · 4,42916 posts🅨𝟛国际官方频道
@Y3duchang0 · 13,84616 posts🔥开元棋牌-33.vip-🔥官方招商
@kyqp33vip · 84013 posts𝟏𝟖𝟐体育官方频道
@S182TY · 10,61413 posts182体育 体育赛事 推单频道
@td182TY · 6,17513 posts豪博娱乐福利频道
@HBYL00 · 59012 posts🔥西港娱乐城-xigang.com-🔥官方招商
@XGzhaoshang · 5,19112 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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件(曝光 新闻群” (@dny68i), 105,759 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/dny68i.
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.