🎈🎈🎈🎈🎈🎈🎈🎈🎈🎈 寻实力盘口三方四方各大平台,招平台定额时效卡,可以保司法指定金额时效,从业黑灰18年专攻支转卡代付 😮💨中介可以来谈合作 请抓稳上车,暴富就在此刻 专业的事情交给专业的团队 😀😀联系: @Tdaod 😖😳😳😩😖😫

Channel
东南亚【日记】
@dnyvv9
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
185,961subscribers
-85,579 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 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 40 |
| Confirmed unchanged | 1 time, most recently 27 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 13:41 | 185,961 | -437 |
| 26 Oct 2026, 16:37 | 186,398 | -963 |
| 25 Oct 2026, 15:46 | 187,361 | -292 |
| 24 Oct 2026, 19:10 | 187,653 | -584 |
| 23 Oct 2026, 19:16 | 188,237 | -579 |
| 22 Oct 2026, 19:06 | 188,816 | -637 |
| 21 Oct 2026, 16:19 | 189,453 | +152 |
| 20 Oct 2026, 13:56 | 189,301 | +2,043 |
| 19 Oct 2026, 15:15 | 187,258 | +3,778 |
| 18 Oct 2026, 15:56 | 183,480 | +2,386 |
| 17 Oct 2026, 16:57 | 181,094 | +1,497 |
| 16 Oct 2026, 16:19 | 179,597 | +1,770 |
| 15 Oct 2026, 15:37 | 177,827 | +1,902 |
| 14 Oct 2026, 15:55 | 175,925 | -1,277 |
| 13 Oct 2026, 05:57 | 177,202 | +18,838 |
| 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 | first reading |
Engagement
1,537 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 141 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.357%
- avg views ÷ 185,961 subscribers
- Avg views / post
- 663
- 656 posts measured
- Reaction rate
- 3.55%
- reactions ÷ views · ER floor
- Posts in window
- 656
- of 1,537 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 623 of 656 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 1,537 (18 August 2026 – 27 October 2026) |
| Views total | 435,238 |
| Reactions total | 15,009 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 19:37 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
- ≈19,500
- Videos
- ≈5,730
- Links
- ≈6,250
Lifetime counters from Telegram’s own channel header, read 27 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 18m
- Average length
- 38s
Measured directly from 406 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
23,385 reactions across 958 posts, in 19 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5,847 | 25.0% | |
| 🔥 | 5,799 | 24.8% | |
| 🙏 | 2,842 | 12.2% | |
| 🏆 | 2,815 | 12.0% | |
| 🤡 | 2,762 | 11.8% | |
| 🐳 | 2,672 | 11.4% | |
| 🎉 | 100 | 0.428% | |
| 🤩 | 99 | 0.423% | |
| 👍 | 89 | 0.381% | |
| ⚡ | 87 | 0.372% | |
| 😁 | 86 | 0.368% | |
| 🥰 | 70 | 0.299% | |
| 👏 | 68 | 0.291% | |
| 😍 | 19 | 0.081% | |
| ❤🔥 | 17 | 0.073% | |
| 💯 | 10 | 0.043% | |
| 💩 | 1 | 0.004% | |
| 😢 | 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 960 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 23,385 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 12 September 2026 to 27 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
下载了反诈App,结果连浏览境外财经网站都怕被监控。上海老哥去看了眼美股,(心想:这下完了,警察蜀黍要查我海外关系了),直接接到警方电话被盘问;山东老哥更惨,(每天醒来都在想今天会不会又被打扰),连刷几天彭博社电话就没停过。这哪是防诈,分明是全量监控,连通话记录都要拿,隐私直接裸奔。 建议下次访问境外网站前,先给App充个会员开通免打扰模式。 #反诈App #隐私争议 #监控 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥6🤡6❤4🏆2🐳1🙏1
美女示范如何吃蛋蛋,还能让他不痛且很喜欢?这操作太骚了,(怕不是把男生的命根子当成了零食),简直是降维打击。 只要手法够骚,蛋蛋也能爱上被吃。 #吃蛋蛋 #骚操作 #整活 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
金边警察局副局长兼局长春纳林中将阁下,遵照萨尔特上将的指示,召开了一场大型走流程大会,总结了10月的犯罪形势,然后开始画饼部署11月的工作。14个区局督察齐聚一堂,听着冗长发言,(这饼画得又大又圆,咬一口全是空气)。 开会的意义在于:10月没破的案,11月继续破,12月继续开。 #柬埔寨 #警察 #开会 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥7🙏5❤4🏆4🤡3
15岁小鬼为抢手枪和项链,把31岁安保打成重伤。这哪是预谋,分明是内卷到走火入魔了。(这届小孩连犯罪都追求极致性价比),还把作案技能归功於受害者的“倾囊相授”,这波属于是教徒弟饿死师父了。 师傅教防盗防抢防背刺,结果自己成了最稳的出货。 #未成年人犯罪 #安保危机 #离谱 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤13🔥6🏆5🙏5🤡3🐳2
农村搞`美容`简直是`印钞机`,看着那些`流水线`般的`服务`,我只想(这钱赚得太容易,怕不是靠`割韭菜`割到了`沃土`)。 只要手法够野,钱包就追不上我;只要脸皮够厚,生意就追不上我。 #农村创业 #暴利 #美容 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🙏7❤5🔥4🏆2🐳2🤡2
斯里兰卡给这些从柬埔寨8号园区转移过来的诈骗团伙提个醒:别以为换个BPO公司马甲、注册张港口城牌照就能继续为所欲为!(这哪里是洗白,这叫换个地方继续搞诈骗),只要涉嫌绑架和人口贩运,就必须依法追责!想靠合法外衣当保护伞?门都没有! 换个地儿继续作案,直接给诈骗圈整了个“跨国版此地无银三百两”。 #电诈 #跨国追逃 #8号园区 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥6🙏5❤3🐳3🤡2🏆1
高危职业,非专业人士请勿模仿,一直都是要命的事儿~~敬礼:徽剑 非专业人士请勿模仿,专业人士请勿活着。 #高危职业 #命硬 #硬核 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
❤5🔥5🤡3🙏3🏆2🐳2
又是这套心灵鸡汤,听着就像精神麻|醉剂。打工人的铠甲就是满身班味,爱情给的温柔全是套话。(先让我睡个好觉再谈爱,我已经累成狗了)。半夜盯着天花板想缘分,(这叫思念打乱生活?这叫神经衰弱)。谋生和谋爱听起来很(岁月静好),其实(一边熬夜一边emo)。 先把班味洗掉,再谈爱,不然爱也是带薪难过。 #职场 #情感 #毒鸡汤 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥10❤3🐳3🤡3🏆1🙏1
房地产大佬大卫·李秋,以前疯狂给离岸博彩摇旗呐喊,现在却开始打脸了。10月25日,他直接开炮面向菲律宾本地居民的网络博彩,(真当韭菜不割了?)。他指出,政府虽然能收税收,但如果这钱来自普通民众不断增加的赌博支出,最后买单的就是一个个菲律宾家庭。本来用来搞教育、看医生、还房贷的钱,一旦大量流入博彩平台,家庭经济压力直接爆表。 以前抽水现在关闸,这波属于自己先卡自己Bug了。 #菲律宾 #博彩 #房地产 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🙏6❤4🏆4🐳4🔥3🤡2
风油精?牙膏?筷子?这都....🤣 这脑子怕不是被风油精糊住了,拿筷子都只会去刷牙。 #迷惑行为 #离谱 #脑回路 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
🔥12❤7🙏5🐳4🤡2🏆1
来到贡布省波哥山脚下打野两个月,之前是西港大批失业游民。上班不禁足但极少出门,这鬼地方没任何娱乐,除了吃饭睡觉就是玩手机。(每天睁眼就是刷手机,这哪是打野,这是在坐牢啊) 整个十月份天天刷到不是西港就是金边打野被查被抓的新闻,这危险天天搁眼前晃。同样是打野,为啥不走出去换个窝点?(我真不想跑,但跑路了连饭都吃不上) 目前还在柬埔寨打野的公司,除去边境上那些黑公司多如牛毛,其他地方的黑公司屈指可数。(这不就是被困在盐矿里,跳出去也是跳进火坑) 只要手机还能刷到被抓的新闻,就说明这破网还没断,这年头连跑路都得看网速。 #柬埔寨 #打野 #波哥山 ✈️投稿/商务广告:@dnysusubot 🧪东南亚华人/吃瓜群:@dnyses
Showing the 12 most recent of 1,537 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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚【日记】” (@dnyvv9), 185,961 subscribers as measured 27 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.