Channel
@DNY0811
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
22,769subscribers
-344 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001919152410 |
|---|---|
| Type | Channel |
| Username | @DNY0811 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/DNY0811 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:08 | 22,769 | -88 |
| 13 Aug 2026, 09:18 | 22,857 | -247 |
| 12 Aug 2026, 06:28 | 23,104 | -9 |
| 11 Aug 2026, 08:19 | 23,113 | first reading |
32 posts held, back to 11 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 8 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 32 (11 August 2026 – 14 August 2026) |
| Views total | 60,044 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 17:08 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.
Measured directly from 12 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.
泰国再查扣陈志1.15亿资产 8月13日，泰国反洗钱办公室（AMLO）透露，交易委员会已决定追加查扣柬埔寨太子集团创始人陈志431项资产，涵盖现金、黄金、地产及数字资产等，价值约1.15亿泰铢。 此前泰国已依法查扣其3.45亿泰铢资产并由法院审理中。至此，泰方已累计查扣陈志相关资产约4.6亿泰铢。 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#网友投稿：今晚金三角特内“闽福酒店”被治安局冲了，缴了几瓶老挝茶还有一些电脑，没抓到人，看样子没啥大事，日常检查Du品 PS：特内不要喝老挝茶！！！至少不要在酒店喝 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
🇻🇳胡志明市：多处地点开展护照检查 综合网友们的反馈： 9郡“bs7 ”警察很多，大家注意‼️ 9郡“美食街” 警察在查护照 签证‼️ 2郡 Chung cư Vista Verde 检查‼️ 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#马来西亚资讯：“中国神棍党”横行沙巴东西海岸！12人落网，涉案金额至少60万令吉 马来西亚沙巴近日破获一起涉嫌以“驱邪改运”“算命治病”为幌子的诈骗案，一个被称为“中国神棍党”的团伙涉嫌在亚庇、兵南邦及山打根等地活动，至少涉及5至6宗案件，累计损失金额超过60万令吉。 据了解，嫌犯通常以草药治病、驱邪改运等借口接近受害者，再将其介绍给所谓的“算命大师”。随后以施咒、祭拜等名义，诱骗受害者交出现金及金饰。 在得手后，嫌犯会趁机将贵重财物调包成杂物，并要求受害者暂时不要打开袋子，以争取时间逃离现场。 警方目前已逮捕12人，包括10名女性和2名男性，其中至少7人为中国籍女子。警方同时起获5辆汽车、13部手机、7本护照，以及总额约2万令吉的多国现金。 落网嫌犯目前已被依法延扣，警方将进一步调查，并根据诈骗相关法律展开提控。 PS：神棍 竟搞这些歪门邪道的东西~~~ 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https…
#网友投稿：公司园区搬到斯里兰卡后，一切东西都从简了，塑胶凳、简易桌，一个月下来业绩不降反而还升了。 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#最新消息：刚刚金边某“娱乐场所”被警方光顾，被人举报怀疑这里藏有未成年人性行为！ PS：又一鸡窝沦陷了~~~~ 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#网友投稿：金三角特区“金水湾”，大约7点多的时候有个打野团队被治安局端了，抓了好几个狗推，现在人已经带到治安局了。 PS：金水湾确实在抓人！早上部落也有网友反馈说打野被抓了，据说抓了超过10人以上！ 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#网友投稿：探秘此地需几许银两？风情万种，尤物如商品般待价而沽，真叫人迷恋沉醉。 PS：道德在哪里，底线在哪里，地址在哪里😂 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
频道适合看内容，群组更适合继续交流。 SOSO 可以直接找热门群组，也能按关键词搜同类圈子。 先打开看看当前推荐。
#柬埔寨资讯：班迭棉吉省波贝市检查行动 查获17名外国人 8月12日，班迭棉吉省联合工作组在波贝市开展外国人员居住情况检查行动，共检查8处建筑设施，发现17名外国人。 此次行动由班迭棉吉省省长吴瑞直接指挥，相关部门联合开展。检查中发现的17名外国人均持有效证件，具备合法居留资格，其中包括9名女性及泰国籍人员。据了解，检查地点主要涉及住宅楼、出租房及教育机构等场所。除一处发现泰国籍人员在当地赌场工作外，其余地点未发现外国人员居住，也未发现任何可疑物品。 班迭棉吉省政府表示，相关部门将继续加强对外国人员及重点区域的检查管理，维护当地社会治安秩序。 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道，马来西亚耗资千亿美元打造的柔佛州“森林城市”（Forest City）因仅有一半不到的计划人口入住，原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性，吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点，逮捕335人（含309名中国籍），查获逾1500部手机及300余台电脑等作案工具。 专家指出，与柬埔寨或缅甸强迫劳动式园区不同，该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作，显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡～～强者从不抱怨环境 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
#网友反馈：老挝万象三江盛大门口这条街有很多当地的警察，现场各种拦车，连电瓶车都拦下来检查，大家注意安全，没有证件的，不要出来了。 😍订阅木牌/波贝新闻/东南亚大事件 ↓ 😍 https://t.me/+4_FyaVblneRmNDdl 😍投稿澄清爆料：@Seven_07r
Showing the 12 most recent of 32 posts we hold for @DNY0811. 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 — 708,723 of 1,345,403entries 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.
Named by 15 registered channels — 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.
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.
@DNY0811 named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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.
“木牌/波贝/东南亚大事件” (@DNY0811), 22,769 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/DNY0811.
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.