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Channel
东南亚悬赏通缉令【曝光】🦁
@DNY11l
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
76,545subscribers
-1,509 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001611769466 |
|---|---|
| Type | Channel |
| Usernames | @DNY11l @xg844 @xo244 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/DNY11l |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 09:26 | 76,545 | -143 |
| 14 Aug 2026, 11:45 | 76,688 | -26 |
| 14 Aug 2026, 05:35 | 76,714 | -32 |
| 14 Aug 2026, 01:07 | 76,746 | -249 |
| 13 Aug 2026, 00:53 | 76,995 | -41 |
| 12 Aug 2026, 20:13 | 77,036 | no change |
| 12 Aug 2026, 16:43 | 77,036 | -133 |
| 11 Aug 2026, 22:27 | 77,169 | no change |
| 11 Aug 2026, 22:24 | 77,169 | -32 |
| 11 Aug 2026, 16:42 | 77,201 | -98 |
| 10 Aug 2026, 19:51 | 77,299 | no change |
| 10 Aug 2026, 19:15 | 77,299 | no change |
| 10 Aug 2026, 19:13 | 77,299 | -156 |
| 9 Aug 2026, 22:11 | 77,455 | -40 |
| 9 Aug 2026, 21:18 | 77,495 | -58 |
| 9 Aug 2026, 18:11 | 77,553 | -206 |
| 9 Aug 2026, 00:52 | 77,759 | -13 |
| 8 Aug 2026, 18:22 | 77,772 | +1 |
| 8 Aug 2026, 17:42 | 77,771 | -222 |
| 7 Aug 2026, 23:27 | 77,993 | first reading |
Engagement
131 posts held, back to 7 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 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.14%
- avg views ÷ 76,545 subscribers
- Avg views / post
- 3,170
- 131 posts measured
- Reaction rate
- 0.382%
- reactions ÷ views · ER floor
- Posts in window
- 131
- of 131 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 107 of 131 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 131 (7 August 2026 – 15 August 2026) |
| Views total | 414,961 |
| Reactions total | 1,287 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 09:16 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
- 37m 20s
- Average length
- 56s
Measured directly from 40 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
1,287 reactions across 107 posts, in 2 distinct kinds. The most used accounts for 50.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 653 | 50.7% | |
| 🔥 | 634 | 49.3% |
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 107 of the 131 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 1,287reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 131 most recent posts we hold, published 7 August 2026 to 15 August 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
🇹🇭 泰国总理阿努廷开飞机 F-16战机护航 昨天,泰国总理阿努廷驾驶一架小型私人飞机飞往呵叻府第1航空团。期间,泰国空军出动3架F-16战机为其护航,进行模拟要员保护演习。 演习中,两架F-16伴飞在阿努廷专机两侧,另一架在其上方护航。第1航空团第103飞行中队还向阿努廷赠送了一枚印有米老鼠图案及“F-16 Fighting Mickey”字样的专属臂章。 国王、总理都会开飞机~~ 这一点柬埔寨是没法比啊 🔥关注频道:@XG844 💬 投稿爆料:@XB369
2️⃣0️⃣2️⃣8️⃣🔠🔠🔠🔣🔠🔠🔠 2028体育真人盘 ❗️巨额出款无忧❗️❗️ 东南亚最大线上博彩平台👍👍👍👍 ✅查看: 2028体育大额无忧已在上押1000000USDT押金 #亚洲顶级真人视讯博彩盘口!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 2028大会员再创新高: ①震撼来袭:2025年9月29 泰国一盘总存35万在麻将2中赢得615万 ❗️ ②2025年9月20 泰国一盘总在PG麻将2中 5天狂赢570万 点击查看 ③2025年9月8日西港一盘总PG麻将4000一拉爆奖230万 点击查看 雪中送炭不如锦上添花: 单笔出款100万 额外奖励8888 单笔出款300万 额外奖励28888 单笔出款500万 额外奖励58888 单笔出款800万 额外奖励88888 单笔出款1000万 额外奖励128888 2028体育PG电子单注最高可拉2万一注 欢迎各位盘总前来爆庄 #PG电子…
#群友分享:律师分享干货,回流狗推家属必知! 今年不少从境外回来的涉诈人员被集中收押,很多家属拿到拘留通知书,整个人都懵了,不知道该干啥、从哪下手。越慌,越容易做错事。 第一,这类案子大多骗的是境外人,受害者信息、被骗金额,很难查彻底。 不像本地诈骗,能快速找到受害人、核实金额。境外回流案里,受害人分散在国外,资金流向也乱,很多时候没法把每一笔被骗金额都核实清楚,这也是这类案子的特殊之处。 第二,客观证据不好固定,当事人的口供、同案的指认,就特别关键。 境外取证本来就难,很多电子记录、作案痕迹容易缺失。这时候,当事人怎么说、同案犯怎么指认,直接影响案子走向。 比如:有没有进过诈骗园区、待了多久、具体干的啥活、赚了多少钱。这些细节说不清楚,很容易影响量刑。 第三,不用硬找被害人谅解,也不是非要退赃退赔。 很多家属以为,只要退钱、拿到谅解,就能轻判,其实不然。 尤其是家人只做引流、养号、打杂这些辅助工作的,根本对应…
#国内新闻 北京电诈资金转移出现新套路,570余人卷入“现金+黄金”线下交付 8月14日,北京市公安局召开“反诈·向您报告”专题新闻发布会,披露今年以来北京电诈资金线下转运的新变化。 警方介绍,诈骗团伙转移资金的方式已经从过去直接使用银行卡转账,逐渐转向让受害人取出现金,或购买黄金、储值卡和其他贵重物品,再通过快递、货运、网约车以及“工具人”在线下接走。 今年以来,北京相关案件已涉及570余名受害人,年龄最小18岁、最大89岁。其中,20岁至50岁以及60岁以上人群占比达到83%。 房山区一名张先生通过手机广告下载一款交友软件,认识一名“女网友”。为了与对方线下见面,他按照要求前往指定地点,交出4.7万元现金,最终发现自己落入诈骗圈套。 朝阳区吴女士遭遇虚假网络投资诈骗后,先后前往西城区一家黄金销售门店购买近2公斤黄金,并将黄金交给取金人员。 石景山区许女士则在婚恋网站认识一名冒充现役军人的诈骗分子,对方以投资为由诱…
🫤😐🫥😶🤥🫠🤫🫡🫢 😑 N9 国际认证 | 信誉平台 支持5倍验资 【验资:@N9KF】 担保域名:N9.TOP 点击查看 ⚡️⚡️⚡️⚡️ 💝 新会员好礼 注册就送28.8U 新人首存/二存/三存最高赠送8️⃣8️⃣8️⃣8️⃣U 💝 老会员好礼 电子狂欢每日存款赠送10% 充值笔笔送3%无上限 夜间充值最高可优惠8888U ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 香港六合彩 4️⃣8️⃣.8️⃣ 倍 加拿大28全网返水最高 ⚡️注册网址:N9.PRO 😇🧐🧐😗🧐😙😄 ⚡️ 官方客服: @N9KF ⚡️ 官方飞投: @N9N9 ⚡️ 彩票客服: @N9CP ⚡️ 彩票飞投: @N9N9N9 ⚡️ 福利频道: @N9pd888 ⚡️ 注册网址: N9.COM【USDT】 ⚡️ 注册网址: N9.C…
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👍12🔥10
生而为人,皆苦!柬埔寨一嘟嘟车司机在自己的吊床上死去,今天被人发现时已初成巨人观。 🔥关注频道:@XG844 💬 投稿爆料:@XB369
🔥5👍1
🫤😐🫥😶🤥🫠🤫🫡🫢 😑 N9 国际认证 | 信誉平台 支持5倍验资 【验资:@N9KF】 担保域名:N9.TOP 点击查看 ⚡️⚡️⚡️⚡️ 💝 新会员好礼 注册就送28.8U 新人首存/二存/三存最高赠送8️⃣8️⃣8️⃣8️⃣U 💝 老会员好礼 电子狂欢每日存款赠送10% 充值笔笔送3%无上限 夜间充值最高可优惠8888U ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 香港六合彩 4️⃣8️⃣.8️⃣ 倍 加拿大28全网返水最高 ⚡️注册网址:N9.PRO 😇🧐🧐😗🧐😙😄 ⚡️ 官方客服: @N9KF ⚡️ 官方飞投: @N9N9 ⚡️ 彩票客服: @N9CP ⚡️ 彩票飞投: @N9N9N9 ⚡️ 福利频道: @N9pd888 ⚡️ 注册网址: N9.COM【USDT】 ⚡️ 注册网址: N9.C…
🔥13👍5
#网友投稿:金三角特区内的物业已经陆续开始发出通知。 物业会不定时抽查,发现电诈会直接上报治安局(抽查估计会包括证件问题)。 PS:特区内的小伙伴还好吗,被逮住就要天天吃稀饭白馒头了 🔥关注频道:@XG844 💬 投稿爆料:@XB369
👍16🔥8
#群友投稿:金边《城际酒店》黑心商家,还是华住会旗下的,专门逮着中国人坑。避雷,真的避雷!只要是中国人,都离这个酒店远一点。 在这个酒店里住了10天,枕套上有污渍,要赔90美金,完全就是漫天要价。 第一天的时候,朋友来找我玩,他抽烟的时候把烟灰缸打翻了,弄到了被子上还有床单上。我叫来了前台工作人员,赔了30美金,很合理。毕竟弄脏了,清洗也麻烦。 然后住了两天以后,玻璃自爆了。自爆的时候,我立马叫来了工作人员保护现场,担心最后赖到我身上。结果还是要赔钱。 一开始,玻璃门要赔500美金,最后谈下来赔了300美金。 最可恨的是,我叫打扫房间的人来打扫卫生,他看到枕头套上有一点点污渍,都没有渗透到枕芯里面。可能就是在房间里吃东西的时候,不小心抹了一滴油上去,而且颜色很淡,不仔细看根本都看不到。 结果那个打扫房间的人立马叫前台过来,跟我说枕套上面有污渍,要我赔90美金。 一天的房费才80美金,一个枕套他敢要90美金,是想钱想…
🔥7👍5
洪森表态:网上侮辱女性将被依法起诉 柬埔寨参议院主席洪森8月14日表示,柬埔寨一些社交媒体用户(包括网络卖家)在网上频繁使用诽谤、侮辱和谩骂等不当言论。相关内容不仅出现在夫妻、情侣等私人纠纷中,也可能涉及对领导人和国家机构的不尊重言辞,进一步拉低社会价值观。 洪森强调,相关部门应加强治理。他要求妇女事务部今后对“网络辱骂女性”的案件主动提起诉讼。洪森指出,即便案件起因是个人矛盾,也不能放任不管,应通过法律途径处理。 🔥关注频道:@XG844 💬 投稿爆料:@XB369
👍7🔥6
Showing the 12 most recent of 131 posts we hold for @DNY11l. 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
Citation-graph rank — 622,159 of 1,478,351entries 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.
Mentions
Named by 3 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚悬赏通缉令【曝光】🦁” (@DNY11l), 76,545 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/DNY11l.
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.