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Channel

东南亚大事件🦋华人大事件 @dnydsjq0

@dnydsjq0

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

22,600subscribers

-2,802 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001224486500
TypeChannel
Username@dnydsjq0
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/dnydsjq0

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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

22,60025,40224,0017 August 2026 — 25,402 subscribers8 August 2026 — 25,348 subscribers9 August 2026 — 25,090 subscribers10 August 2026 — 24,985 subscribers11 August 2026 — 24,938 subscribers12 August 2026 — 24,873 subscribers14 August 2026 — 24,583 subscribers15 August 2026 — 24,532 subscribers17 August 2026 — 24,236 subscribers18 August 2026 — 24,066 subscribers19 August 2026 — 23,993 subscribers20 August 2026 — 23,954 subscribers21 August 2026 — 23,922 subscribers22 August 2026 — 23,855 subscribers24 August 2026 — 23,712 subscribers25 August 2026 — 23,632 subscribers26 August 2026 — 23,591 subscribers27 August 2026 — 23,561 subscribers28 August 2026 — 23,527 subscribers29 August 2026 — 23,496 subscribers30 August 2026 — 23,450 subscribers31 August 2026 — 23,211 subscribers1 September 2026 — 23,121 subscribers2 September 2026 — 23,096 subscribers3 September 2026 — 23,060 subscribers5 September 2026 — 22,992 subscribers8 September 2026 — 22,896 subscribers11 September 2026 — 22,822 subscribers13 September 2026 — 22,750 subscribers14 September 2026 — 22,701 subscribers16 September 2026 — 22,633 subscribers18 September 2026 — 22,600 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net -2,802. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 22,180–25,822 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 19:1722,600-33
16 Sept 2026, 12:3822,633-68
14 Sept 2026, 19:5622,701-49
13 Sept 2026, 08:5622,750-72
11 Sept 2026, 11:4222,822-74
8 Sept 2026, 18:2122,896-96
5 Sept 2026, 09:0022,992-68
3 Sept 2026, 10:4723,060-36
2 Sept 2026, 08:2423,096-25
1 Sept 2026, 10:3623,121-90
31 Aug 2026, 12:5723,211-239
30 Aug 2026, 09:3423,450-46
29 Aug 2026, 11:1423,496-31
28 Aug 2026, 12:4423,527-34
27 Aug 2026, 14:0323,561-30
26 Aug 2026, 12:1123,591-41
25 Aug 2026, 10:3423,632-80
24 Aug 2026, 08:4723,712-143
22 Aug 2026, 19:2323,855-67
21 Aug 2026, 09:0723,922first reading

Engagement

540 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.28%
avg views ÷ 22,600 subscribers
Avg views / post
741
265 posts measured
Reaction rate
27.5%
reactions ÷ views · ER floor
Posts in window
265
of 540 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 259 of 265 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held540 (7 August 20263 September 2026)
Views total196,348
Reactions total53,181
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:10 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

Video runtime
44m 19s
Average length
17s

Measured directly from 160 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

105,834 reactions across 517 posts, in 5 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21,31620.1%
🤩21,23620.1%
👍21,16120.0%
🥰21,07119.9%
🎉21,05019.9%

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 517 of the 540 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 105,834 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 540 most recent posts we hold, published 7 August 2026 to 3 September 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

3 Sept 2026, 10:30 UTC158 views201 reactionsread 3 September 2026
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#最新消息:老挝特内的桐秦水岸D栋目前已经带走一车人了,目测大概有7/8个,在里面的治安局和便衣还没出来,应该还有下一波📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53522

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3 Sept 2026, 10:29 UTC328 views201 reactionsread 3 September 2026
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#网友反馈:今天下午七星海也开始大检查啊 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53522

🤩53👍4935🥰33🎉31

3 Sept 2026, 10:28 UTC443 views202 reactionsread 3 September 2026
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#网友投稿:老挝金三角特内桐琴和万国公寓都有警察,据说是来检查办公的, 没有查护照 现在桐琴已经进入D栋检查,治安局和中国成龙一起的,物业老板都过来了,万国公寓已经上楼检查,楼下电梯口还有几个治安局在守着 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53522

🎉44🥰4241👍38🤩37

3 Sept 2026, 09:09 UTC654 views203 reactionsread 3 September 2026
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🥰4443👍43🎉37🤩36

3 Sept 2026, 08:57 UTC549 views203 reactionsread 3 September 2026
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#纯干货海外华人必看被盗U风险规避 你的USDT为什么会被盗?以下这些情况都可能导致资产损失: 🔑 助记词 / 私钥泄露 🎣 钓鱼网站 / 假钱包 📝 恶意授权 / Approve ✍️ 恶意签名 / Permit 🦠 木马 / 病毒 / 剪贴板劫持 📱 手机 / 电脑被控 📲 交易所账号被盗 📞 SIM卡 / 短信劫持 📋 地址投毒 / 地址替换 💻 假交易 / 假TXID 🏦 假投资 / 假平台诈骗 🌉 跨链桥 / DeFi漏洞 🧩 恶意DApp / 假空投 ☁️ 云端备份 / 助记词截图泄露 总结: ⚠️ 安全提醒: ❌ 不泄露助记词 ❌ 不随便授权 ❌ 不点陌生链接 ❌ 不相信所谓“客服” ✅ 转账前仔细核对地址 ✅ 大额资金做好分散与安全备份 🔐 保护好私钥,才是真正的资产安全📣 订阅本频道东南亚大事件投稿澄

🎉46👍4341🥰38🤩35

3 Sept 2026, 08:56 UTC664 views205 reactionsread 3 September 2026
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#网友投稿:金三角特区孟赛物业今天半夜被突袭是因为有人举报 地址在鑫城对面【图1】,原唐人国际4幢老板,大金主,大表哥,原名:李志勤,2024年,大表哥”曾出资购买唐人国际2栋,并参与建设老缅新村对面的明丰大厦、众合公寓。 重点来了:金三角特区正在实行相关禁令和清理行动,但据爆料,其旗下部分业务仍未完全停止,目前仍有泰国精聊、缅甸精聊、商城刷单等项目运作。 办公地点据称在新城红楼对面1号楼酒店公寓12楼、16楼部分房间,以及特区外也存在其他办公据点。 PS:听说是因为纠纷,然后就被举报了, 地址位置都标记出来了!下午的事情!📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———

🤩56🎉42👍3934🥰34

3 Sept 2026, 08:55 UTC722 views204 reactionsread 3 September 2026
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#西港大检查:目前已有宪兵警察进入江西酒店,现场已进行管控 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53522

👍4742🤩41🥰39🎉35

3 Sept 2026, 08:55 UTC794 views201 reactionsread 3 September 2026
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🇲🇲 缅甸诈骗大王获刑43年 缅甸一桩涉案金额达数百亿缅币的特大金融诈骗案日前宣判。诈骗头目“尼尼绥博士”因打着外汇及股票投资旗号、承诺15%月收益疯狂吸金,被法院以经济犯罪判处43年监禁,名下资产全部收归国有。 该案波及仰光、曼德勒等多地民众,受害者涵盖普通百姓、难民乃至出资投资的寺院僧侣。因罪犯资产已被国家没收,成千上万受害者的积蓄与香火钱恐面临无法追回的绝境。 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推

🎉45🤩42🥰42👍3933

3 Sept 2026, 08:54 UTC600 views204 reactionsread 3 September 2026
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#柬埔寨资讯:遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日,根据柬埔寨内政部领导的指示,移民总局近日在德乔国际机场开展执法行动,通过专机将122名中国公民遣返回国,其中包括3名女性。 据移民总局消息人士透露,这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53

👍49🤩43🎉41🥰4130

3 Sept 2026, 08:54 UTC588 views201 reactionsread 3 September 2026
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柬埔寨称扫诈见效 小团伙涌现 9月2日,柬埔寨当局称已拆除国内多处大规模诈骗园区,但小规模、分散的诈骗团伙在城市地区出现,显示行业在调整作案方式。 本周,金边一处疑似网络诈骗窝点遭突袭,逮捕18名孟加拉国人;西港周二在3栋公寓突击行动中逮捕10名中国人并缴获120余台电子设备,其中4人被怀疑参与网络诈骗;国公省七星海周末的行动中拘留34名嫌疑人并缴获数百台电子设备。 反诈骗委员会称,过去一年已清查600多个与诈骗相关地点,拘留近3万名来自39个国籍的嫌疑人;自2025年7月以来已冻结超过3亿美元诈骗资金并立案调查440多起。 反诈骗委员会负责人蔡西那烈表示,诈骗集团正转向客栈、公寓、车辆和咖啡馆等更小、更分散的作案地点。 哈佛大学访问学者、东南亚跨国犯罪专家雅各布·西姆斯指出,关闭实体园区并不等同于彻底瓦解支持产业的网络,现有证据更倾向于“扰乱与适应”而非全面摧毁。 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5

👍51🤩42🎉4036🥰32

2 Sept 2026, 16:14 UTC221 views204 reactionsread 2 September 2026
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48👍42🤩42🥰40🎉32

2 Sept 2026, 15:19 UTC431 views204 reactionsread 2 September 2026
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#网友反馈:西港OB4路口有警察设卡检查证件查车 📣 订阅本频道东南亚大事件投稿澄清爆料广告 :@y5352 🔗本频道关注链接: https://t.me/dnydsjq0 #东南亚大事件 #华人大事件 #柬埔阿寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #头条 #大事件曝光———————————————————— #付费广告 代开会员❤️精养飞机号❤️群频道上粉点赞浏览❤️老群❤️老频道❤️关键词排名❤️ 苹果id ❤️TK inS fb 推特上粉评论点赞❤️ 代开快连| Gpt代开+888出租 联系人: @y5352 @y53522

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Showing the 12 most recent of 540 posts we hold for @dnydsjq0. 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

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件🦋华人大事件 @dnydsjq0” (@dnydsjq0), 22,600 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dnydsjq0.

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.