曼德勒省当达镇一民兵在TikTok长期挑衅PDF,隔着屏幕(以为喷子没人能摸门)。TTA-PDF直接上门活捉,关进囚室还标榜人权待遇,甚至允许他继续刷TikTok。眼神都清澈了😂 进去之前先把网速调好,信号不好影响发挥。 #TikTok #曼德勒 #翻车现场 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses

Channel
东南亚【日记】
@dnyvv9
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
158,364subscribers
-113,176 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001414282434 |
|---|---|
| Type | Channel |
| Username | @dnyvv9 |
| Description | #东南亚 #大事件 东南亚大事件日记,不信谣,不传谣,理性吃瓜! 为全球华人分享东南亚文化。 📬投稿/商务广告: @dnysusubot 🗣东南亚华人/吃瓜群: @dnyses |
| Created | Between 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/dnyvv9 |
Topic
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 18 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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 |
|---|---|---|
| 9 Oct 2026, 00:57 | 158,364 | +4,726 |
| 4 Oct 2026, 17:19 | 153,638 | -1,781 |
| 26 Sept 2026, 20:18 | 155,419 | -14,020 |
| 17 Sept 2026, 11:01 | 169,439 | -2,888 |
| 15 Sept 2026, 07:00 | 172,327 | -4,401 |
| 13 Sept 2026, 13:20 | 176,728 | -4,743 |
| 11 Sept 2026, 19:58 | 181,471 | -6,168 |
| 9 Sept 2026, 05:18 | 187,639 | -15,769 |
| 5 Sept 2026, 21:21 | 203,408 | -4,312 |
| 3 Sept 2026, 16:16 | 207,720 | -2,859 |
| 2 Sept 2026, 11:03 | 210,579 | -2,785 |
| 1 Sept 2026, 07:28 | 213,364 | -2,240 |
| 31 Aug 2026, 08:09 | 215,604 | -1,296 |
| 30 Aug 2026, 05:44 | 216,900 | -3,303 |
| 29 Aug 2026, 04:57 | 220,203 | -3,409 |
| 28 Aug 2026, 06:58 | 223,612 | -2,549 |
| 27 Aug 2026, 07:35 | 226,161 | -1,618 |
| 26 Aug 2026, 08:32 | 227,779 | -3,776 |
| 25 Aug 2026, 05:05 | 231,555 | -3,559 |
| 24 Aug 2026, 04:04 | 235,114 | first reading |
Engagement
1,191 posts held, back to 18 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 109 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.389%
- avg views ÷ 158,364 subscribers
- Avg views / post
- 615
- 657 posts measured
- Reaction rate
- 3.96%
- reactions ÷ views · ER floor
- Posts in window
- 657
- of 1,191 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 640 of 657 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 October 2026 |
|---|---|
| Posts held | 1,191 (18 August 2026 – 11 October 2026) |
| Views total | 404,272 |
| Reactions total | 15,835 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Oct 2026, 16:57 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
- ≈18,600
- Videos
- ≈5,360
- Links
- ≈6,240
Lifetime counters from Telegram’s own channel header, read 11 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
- 4h 00m
- Average length
- 41s
Measured directly from 354 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
24,575 reactions across 977 posts, in 18 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 6,155 | 25.0% | |
| ❤ | 6,072 | 24.7% | |
| 🏆 | 3,002 | 12.2% | |
| 🙏 | 2,995 | 12.2% | |
| 🤡 | 2,885 | 11.7% | |
| 🐳 | 2,799 | 11.4% | |
| ⚡ | 101 | 0.411% | |
| 😁 | 98 | 0.399% | |
| 🎉 | 97 | 0.395% | |
| 👍 | 97 | 0.395% | |
| 🤩 | 97 | 0.395% | |
| 🥰 | 81 | 0.33% | |
| 👏 | 78 | 0.317% | |
| 😍 | 7 | 0.028% | |
| ❤🔥 | 5 | 0.02% | |
| 💯 | 4 | 0.016% | |
| 💩 | 1 | 0.004% | |
| 😢 | 1 | 0.004% |
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 979 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 24,575 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 27 August 2026 to 11 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
真的爱了 ,这个 嘴上喊爱,手却很诚实。 #上头 #口嫌体正直 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
老街的阿健,开公司专搞诈骗,人进去就跑路,工资装死,讨薪的拉黑,嘴还比刀利:没钱你开啥公司。(怨气值拉满) 警告完要放正脸照,(大招已蓄力)。 有本事开公司,没本事发工资,这波(格局)直接封神。 #讨薪 #跑路 #老赖 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
汇旺前董事长李雄惹出客户维权大瓜,如今恐遭遣返回柬埔寨受审。(跑得了和尚跑不了庙),崩盘的大雷终现炸锅。 以前收割别人,现在被人收割。 #遣返 #维权 #汇旺 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
活久见,手机丢了还惦记没表白的女生。别人找兄弟、找朋友,你找初恋;别人忙着跑路,你忙着等女神翻寻人启事。在MJ碰过一面,就把重逢剧本写到(连人家记不记得你都没核验),表白环节先锁死。别人出国搞钱,你出国修炼爱情,钱没赚到,舔狗境界先要飞升。 亚太都乱成那了,你的喜欢硬得像磐石,胆子软得像刚拆的快递。 #单相思 #寻人启事 #舔狗 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤6🔥6🏆3🐳2🤡2🙏1
柬埔寨警卫局和邓丕兵被扒出关系匪浅。切莫妮身为警卫局警员,又是邓的信任人员,陪吃陪逛娱乐场所,还跟着拜会洪森;习近平访柬时她又在机场执勤。局长严梁称通过弟弟认识邓,但(灵魂出窍)不知道弟弟和邓的商业关系,更(原地失忆)不清楚邓的具体业务。 机场站得稳,园区去得勤,唯独弟弟的事,集体失忆。 #柬埔寨 #警卫局 #吃瓜 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤9🐳6🔥5🏆4🙏4🤡1
选美小姐这套礼服满是心机,剪裁简直离谱。让人忍不住质疑她到底有没有穿内裤?(怕是真空上阵),在走光边缘试探,属实擦边到极致。 上面心机耍得狠,下面底线没站稳。 #吃瓜 #选美 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥11❤4🐳3🤡2🙏2🏆1
这通缉犯在柬埔寨被清盘后,直接跑路到马来古晋继续搞钱?谁要敢收留,直接(连坐)!赶紧报警让他领盒饭,别给这漏网的老六任何苟活的机会。 柬埔寨的尽头是古晋,古晋的尽头是大牢。 #通缉犯 #防骗指南 #古晋 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🙏8🔥6❤5🏆4🤡4🐳3
卧底再会,邓丕兵直言园区免扫全靠撒币。同行赚10留8,他偏倒贴8买平安,(这不是做生意,是给阎王交保命钱)。更狂的是自称在警方网监暗伏耳目,啥时抄园(门儿清),直接透视。 留2块吃饭,8块买命,只要肯撒币,地狱都得给他留VIP包厢。 #缅北 #保护伞 #卧底 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤11🔥8🙏6🏆4🐳2🤡1
斯里兰卡端掉非法呼叫中心,5次突击捞人408个,中国籍占快七成。招聘写着高薪数据录入,点进去全是钓鱼链接和虚假投资,护照上交,人锁楼,(到嘴的锅自己背)。东南亚这边清场,诈骗团伙就换服搬家,兰卡压力直接拉满。 PS:最近兰卡安静得反常,(安静=没人漏网)。 招聘说是录入员,上岗发现是输入法都救不了的罪人。 #诈骗 #高薪陷阱 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤8🙏5🤡3🔥2🏆1🐳1
这则素材指名道姓对具体个人作出严重且未经证实的指控(含犯罪盘口、诈骗、跑路等),我无法核实真伪,不便把它加工成段子传播。若你掌握真实受骗证据,建议通过官方渠道(如警方、反诈中心)举报,而非在社交平台公开点名。 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤5🔥5🙏4🐳3🏆2🤡1
中老联合扫电诈,国庆又从国内空降便衣刑侦。万象新城公寓才住不到一周,公司就连夜跑路——总监的商会朋友递话:警局早布下暗子,周边酒店四处打探,连电诈公司内部都有人反水,要以点围圈大面积收网。 公司嘴上硬刚:百人体量、按时发底薪包吃住,(画饼)没人会断自己财路。可偏偏(心虚)得很——一个半月换一家酒店,搬家速度比房东催租还快。所谓"自愿留下",一半是(回不去),一半是(舍不得)。 以前换酒店叫扩张,现在换酒店叫逃命;暗子不在别处,就藏在“不可能有人出卖”的自信里。 #电诈 #以点围圈 #万象抓捕 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥9🏆6🤡6🐳3❤2🙏2
Showing the 12 most recent of 1,191 posts we hold for @dnyvv9. 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
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.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚【日记】” (@dnyvv9), 158,364 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/dnyvv9.
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.