阿龙闯荡记/东南亚新闻 pinned a video

Channel
阿龙闯荡记/东南亚新闻
@alcdj8
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
50,822subscribers
-3,161 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 | -1001734539392 |
|---|---|
| Type | Channel |
| Username | @alcdj8 |
| Description | 文学小说,五年东南亚各国经商见闻。 免费爆料: @alongge158 |
| 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 | 26 October 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/alcdj8 |
Topic
National news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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 |
|---|---|---|
| 26 Oct 2026, 06:54 | 50,822 | -109 |
| 25 Oct 2026, 03:25 | 50,931 | -118 |
| 24 Oct 2026, 02:27 | 51,049 | -96 |
| 23 Oct 2026, 05:19 | 51,145 | -151 |
| 22 Oct 2026, 02:39 | 51,296 | -138 |
| 20 Oct 2026, 18:39 | 51,434 | -81 |
| 19 Oct 2026, 21:27 | 51,515 | -83 |
| 18 Oct 2026, 23:20 | 51,598 | -66 |
| 17 Oct 2026, 20:11 | 51,664 | -69 |
| 16 Oct 2026, 16:54 | 51,733 | -90 |
| 15 Oct 2026, 17:39 | 51,823 | -93 |
| 14 Oct 2026, 17:46 | 51,916 | +888 |
| 13 Oct 2026, 08:04 | 51,028 | +647 |
| 9 Oct 2026, 02:16 | 50,381 | -469 |
| 4 Oct 2026, 19:00 | 50,850 | +160 |
| 26 Sept 2026, 22:14 | 50,690 | -472 |
| 19 Sept 2026, 17:40 | 51,162 | +234 |
| 17 Sept 2026, 05:55 | 50,928 | -290 |
| 15 Sept 2026, 07:58 | 51,218 | -77 |
| 13 Sept 2026, 16:19 | 51,295 | first reading |
Engagement
1,815 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 164 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.19%
- avg views ÷ 50,822 subscribers
- Avg views / post
- 1,620
- 683 posts measured
- Reaction rate
- 3.37%
- reactions ÷ views · ER floor
- Posts in window
- 754
- of 1,815 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 647 of 683 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 1,815 (7 August 2026 – 26 October 2026) |
| Views total | 1,108,236 |
| Reactions total | 36,056 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 22:22 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
- ≈48,500
- Videos
- ≈8,290
- Links
- ≈24,500
Lifetime counters from Telegram’s own channel header, read 26 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
- 5h 39m
- Average length
- 1m 21s
Measured directly from 253 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
47,550 reactions across 855 posts, in 9 distinct kinds. The most used accounts for 20.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9,596 | 20.2% | |
| 🎉 | 9,543 | 20.1% | |
| ❤ | 9,521 | 20.0% | |
| 😁 | 9,441 | 19.9% | |
| 🔥 | 9,371 | 19.7% | |
| 🥰 | 28 | 0.059% | |
| 👏 | 20 | 0.042% | |
| ⚡ | 18 | 0.038% | |
| 🤩 | 12 | 0.025% |
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 855 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 47,550 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 13 September 2026 to 26 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
#付费广告 2028国际 #电子大水 ❗️巨额出款无忧❗️❗️ 东南亚最大线上博彩平台👍👍👍👍 #东南亚顶级高爆电子台!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 平台支持USDT存取款,不限iP提款无上限,PG电子单注最高可拉2万一注 #PG电子单注最高爆奖可赢4000万+超级大奖! 2028娱乐发财网址: 2028a.vip 😍再创新高: 3.10日PG麻将胡了2万一拉 进关爆出1933万 💥 😍巨奖来袭: 3.9日PG麻将胡了2万一拉 爆出巨奖3400万💥 😍天选之子: 3.05日PG麻将胡了2万一拉喜提爆分1428万💥 😍电子大水: 3.01日PG麻将糊了 2万一拉进关爆分1031万💥 😍更多高光爆奖时刻请查看: 2028官方频道 重要的事说三遍:出款绝不卡款 绝不卡款 绝不卡款❗️❗️ U存U提 每日提款不限额度!随便提 欢迎各位盘总🔴主管🔴精英狗推🔴血战狗庄❗️❗️ 福利频道: @PG2098 客
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#群友寻原特区永恒公司朱大海老板旗下分公司老板火火,别名眼镜、四眼。 我想你应该知道我是谁,你也知道我为什么这样做。出来东南亚混,就是一个诚信。但是,你似乎没有。 跟你在一起这几年,给你做了很多,你也欠我很多。之前你所说的百分之二十,我估计你也做不到,毕竟三四百万你也拿不出来。 你只需要把欠我的还给我,我只要我该拿的。从永恒到七星海,再到特外,你画的饼太大了,我也吃不下。 之前相信你,给你机会让你拖。之前的老刘,你欠人家钱拖了半年。人家家里出事,需要钱,你都要拖两个月。虽然你现在给了,但是你觉得你做的是人事吗? 现在给你发消息就拉黑,这些我也不想说什么了。你自己做了什么,你也清楚。那些事情我也知道,你的真名这些,我也不想现在说出来,包括你的住址、你的照片。比如你跟你现在的女朋友在特区某公寓进出的照片,这些我都拿到了。 之前特外抓到的那些人,那些事情我也不想说得很清楚,自己考虑好。 我只要我的30万,其余的什么分成,…
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#泰国资讯:沙缴府稻田查获SIM BOX设备!两台设备最多可插64张SIM卡 026年10月26日,泰国媒体报道称,沙缴府警方在亚兰县塔康分区(Tha Kham)农凯村第8村组的一处稻田内,查获一批可疑通讯设备,共计9类物品。 据报道,คลองลึก警察局(Khlong Luek Police Station)警方组织调查人员及巡逻警力开展检查,现场查获2台SIM BOX(GSM网关),每台可插入32张SIM卡,合计最多可容纳64张SIM卡。此外,警方还查获2台华为网络路由器(含SIM卡)、1台锂离子备用电池、1台电源逆变器、2条网线、2个路由器适配器及1个灰色塑料箱。 SIM BOX是一种能够通过多张SIM卡连接移动通信网络的设备,可能被用于批量通话及其他通信活动。在某些案件中,此类设备也曾被用于电信诈骗团伙隐藏或转换来电号码,因此受到执法部门关注。 警方已将全部查获物品移交คลองลึก警察局调查人员,后续将进一步检…
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与西港电诈园区洗钱有关,一名中国男子被引渡美国 美国司法部近日披露一起涉及柬埔寨西港电诈园区的跨国诈骗洗钱案。犯罪团伙诈骗174名美国人,涉案金额超过3690万美元,部分赃款最终流向西港等地的诈骗园区。 据美国司法部10月23日通报,44岁中国籍男子赵征(Zheng Zhao,音译)因涉嫌参与该诈骗网络的洗钱活动,近日从荷兰被引渡至美国,并已在加利福尼亚州联邦法院出庭。 美国检方指控,该团伙通过社交媒体、短信和交友软件接近美国受害者,骗取信任后,诱导他们在虚假的加密货币投资平台上投入资金。 那么,这些从美国人手中骗来的钱,是如何流入柬埔寨电诈园区的? 根据美国司法部披露的资金流向,受害者的钱首先进入犯罪团伙控制的美国银行账户,随后被转入巴哈马的德尔泰克银行(Deltec Bank),兑换成稳定币USDT。这些USDT随后被转入由柬埔寨方面控制的数字钱包,再分发给西港等地诈骗园区的负责人。 美国司法部2025年6月9日公…
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泰国普吉岛芭东海滩强降雨致严重内涝 泰国著名旅游地普吉岛芭东海滩区域自昨晚起彻夜强降雨,主要道路出现严重内涝。芭东市区主干道、商业区及游客通行区域多处积水,交通出行困难。 当地官员提醒居民和游客注意水灾及交通不便,如需紧急援助请联系当地有关部门。 PS:大鳄又要出没了
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#AI小短剧:被骗缅北九年,凭金融瑜伽逃出杀猪盘?
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#网友分享:狠攒几十万,走新西兰配偶签,三年拿澳新双绿卡。 你这几年应该狠狠攒钱,攒个几十万。然后自己申请新西兰语言学校(费用控制在5万以内)。 到了新西兰后,用一年时间走无情道,找个新西兰公民同居。同居满半年,申请配偶工签,这个时候就可以合法跑网约车了。等满1年,申请配偶绿卡。 绿卡下来后,再让配偶跟你一起去澳洲居住。累计新西兰同居时间一共满3年,可以申请澳洲PR。 到了这个时候,你已经有了澳新两国绿卡。可以跟配偶在澳新开公司(比如保洁、按摩、旅行社),然后卖工签、卖配偶。 如果期间配偶怀孕了,可以去美国生孩子,给孩子再加一个美国身份。自己仍然是中国籍,之后可以回国,把澳币5:1、新币4:1换成人民币。 所以,这几年除了攒钱,还要把英语学好、把身材练好。 对象选择上,根据自身条件和存款决定:建模好、有大几十万存款的,可以尝试找白人;条件一般,就选毛利或毛利。
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#ios无感盗U:重要的事说三遍! 千万不要拿你有钱包的iPhone看色网! 千万不要拿你有钱包的iPhone看色网! 千万不要拿你有钱包的iPhone看色网! 如果您是加密货币持有者,请务必执行以下最高级别防范措施: 1. 绝对不要从非 App Store 渠道下载钱包: 无论是通过浏览器直接安装的证书(描述文件)、TestFlight 还是不明链接,都极大概率是魔改的假钱包。 2. 严防“恶意授权”: 不要使用存储有大额资产的钱包去参与任何来路不明的流动性挖矿、空投或扫码支付。定期使用区块链工具(如各链的区块链浏览器或 Revoke.cash)检查并取消可疑的智能合约授权。 3. 隔离私钥与助记词: 绝对不要将助记词复制到剪贴板,不要截屏保存,也不要存放在微信收藏、备忘录、iCloud 或任何联网的云盘中。建议使用纯物理方式(纸笔抄写)妥善保管。 4. 及时更新 iOS 系统: 不要盲目停留在旧版本。及时升级到苹果…
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#柬埔寨资讯:金边警察局召开10月份工作总结会议,部署11月治安工作 10月26日上午,柬埔寨金边市警察局召开2026年10月份犯罪形势及社会治安维护工作总结会议,回顾当月执法行动成果,并部署2026年11月的重点工作。 会议由金边市警察局局长兼副国家警察总监春纳林(Chhun Narith)中将主持。出席人员包括警察局副局长、副参谋长、33个专业部门负责人、14个区警察局督察及相关官员。 会议在国家警察总监萨尔特上将的工作指导精神下举行,重点围绕当月犯罪形势、维护社会治安秩序的行动成果,以及下一阶段的工作方向进行总结和部署。
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阿龙闯荡记/东南亚新闻 pinned a photo
Showing the 12 most recent of 1,815 posts we hold for @alcdj8. 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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“阿龙闯荡记/东南亚新闻” (@alcdj8), 50,822 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/alcdj8.
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.