美国搭建特殊石油头寸 防范委内瑞拉项目权益被稀释 据外媒消息,美国针对委内瑞拉石油项目搭建特殊权益架构,以此保障自身股权不会因后续融资被稀释。美方通过便士认股权证持有当地能源企业 NABEP35% 权益,无需当下大额出资,企业后续募资扩产时,美方占股比例可得到保护,还可提前享有分红权益。 该企业手握委内瑞拉 17 处油田百年开发权,蕴藏约 650 亿桶石油储量,这笔能源交易也引发国际社会广泛讨论。 #美国新闻

Channel
东南亚|吃瓜爆料|华人社区|社会新闻
@dny88899999
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
24,651subscribers
-4,664 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002668644844 |
|---|---|
| Type | Channel |
| Username | @dny88899999 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/dny88899999 |
Topic
International 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 |
|---|---|---|
| 17 Sept 2026, 07:40 | 24,651 | -1,026 |
| 15 Sept 2026, 07:41 | 25,677 | -939 |
| 13 Sept 2026, 14:21 | 26,616 | -739 |
| 11 Sept 2026, 17:01 | 27,355 | -1,904 |
| 9 Sept 2026, 01:38 | 29,259 | -2 |
| 5 Sept 2026, 15:19 | 29,261 | -3 |
| 3 Sept 2026, 17:16 | 29,264 | -1 |
| 2 Sept 2026, 07:44 | 29,265 | -1 |
| 30 Aug 2026, 03:33 | 29,266 | -2 |
| 28 Aug 2026, 05:52 | 29,268 | -1 |
| 27 Aug 2026, 03:18 | 29,269 | -12 |
| 26 Aug 2026, 03:28 | 29,281 | -1 |
| 25 Aug 2026, 07:02 | 29,282 | -1 |
| 24 Aug 2026, 09:56 | 29,283 | -1 |
| 22 Aug 2026, 19:19 | 29,284 | -3 |
| 21 Aug 2026, 11:28 | 29,287 | -2 |
| 20 Aug 2026, 11:47 | 29,289 | -2 |
| 19 Aug 2026, 11:36 | 29,291 | -4 |
| 18 Aug 2026, 14:47 | 29,295 | -6 |
| 17 Aug 2026, 12:53 | 29,301 | first reading |
Engagement
76 posts held, back to 16 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 38 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.27%
- avg views ÷ 24,651 subscribers
- Avg views / post
- 560
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 76 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.
| Window | Rolling 30 days · latest post in window 6 September 2026 |
|---|---|
| Posts held | 76 (16 August 2026 – 6 September 2026) |
| Views total | 11,209 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 01:45 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
- 31m 35s
- Average length
- 53s
Measured directly from 36 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.
Recent posts
伊朗哈尔克岛海域响起爆炸声 美军击中伊朗油轮 伊朗核心石油出口枢纽哈尔克岛附近海域传来爆炸声响,一艘伊朗油轮遭到美军导弹击中央广网。哈尔克岛承担伊朗绝大部分原油出口任务,战略地位关键。 美方称此次行动为报复伊朗革命卫队此前攻击美军舰艇,被击中油轮船员完成疏散,暂无人员死亡报告。 #伊朗新闻
萨格勒布数万人集会 抗议克罗地亚废弃物清理拖延 路透社消息,克罗地亚首都萨格勒布市中心广场爆发大规模示威,数万名民众参与名为 “为利卡行走” 的集会,抗议政府拖延清理利卡地区非法堆放的有害废弃物。 当地堆放 3.4 万至 3.7 万吨废弃物,不少从意大利输入,包含医疗、工业垃圾,环保组织警示土壤水源遭到污染,威胁民众饮水安全。 #克罗地亚
#国际新闻:阿根廷与美国签署贸易协议 互免数百项关税! 阿根廷和美国签署贸易与投资协议,同意取消彼此数百种商品的关税。 这是阿根廷总统哈米莱推动开放这个历史上奉行保护主义的南美经济体的重要一步。阿根廷外交部星期四(2月5日)在声明中说,美国同意取消对阿根廷商品征收的逾1600项对等关税,而米莱政府将终止对美国商品征收的逾220项关税。 根据两国政府发布的声明,阿根廷外长基尔诺(Pablo Quirno)与美国贸易代表格里尔(Jamieson Greer)在华盛顿签署了协议。 彭博社报道,这项协议被视为米莱的一次胜利。作为美国总统特朗普在拉美地区最亲近的盟友之一, 米莱在加强与华盛顿的关系的同时致力于拆除贸易壁垒,推动对这个深陷困境的经济体进行全面改革。
#国际新闻:疑似开展间谍活动 亚洲黑客团伙渗透逾37国内部网络! 美国网络安全公司派拓网络称,一个获国家支持的亚洲黑客组织在过去一年,大规模入侵超过37个国家的政府机构和关键基础设施系统,疑似从事间谍活动。 总部位于加利福尼亚州的派拓网络公司(Palo Alto Networks)日前发布报告指出,这个黑客小组已渗透70个机构的内部网络,包括五个国家的执法和边境管制机构、三个国家的财政部、某国国会,以及某国一名高级民选官员。 派拓网络拒绝披露这个黑客组织来自哪个国家,但指部分黑客袭击节点与中国政府关注的重大事件重合。 报告说,网袭规模异常庞大,黑客组织显然是配合地缘政治事件,如外交使团活动、贸易谈判、政治动荡及军事行动等,系统性地窃取敏感信息。他们利用这些渠道监视电子邮件、金融交易和涉及军警行动的通信内容。黑客还窃取了外交事务相关的情报,在某些系统中潜伏数月未被察觉。 派拓网络威胁情报部门Unit 42国家安全项目主管…
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#国际新闻:美军官哈佛进修“太像哈佛” 五角大楼终止与哈佛合作! 特朗普政府对哈佛大学的施压再升级,美国战争部长赫格塞斯下令终止与哈佛合作的所有专业军事课程,原因是五角大楼派到哈佛进修的许多军官都变得“太像哈佛”,无法提升美军的作战能力。 赫格塞斯星期五(2月6日)在社媒X贴文宣布,停止派送现役军官参与哈佛大学与战争部合作的所有研究生专业军事教育、奖学金和证书课程,已就读课程者则不受影响。 赫格塞斯在社媒视频中说:“长久以来,战争部派送最杰出和聪慧的军官到哈佛,希望大学方面能更好地理解及体会我们的战士格局。然而现实是,太多军官回来后都变得太像哈佛,满脑子都是全球主义和各种激进思想,并不能提升我们的作战能力。” 赫格塞斯还在贴文中指“哈佛是觉醒主义者,但战争部不是”。 他也透露,五角大楼接下来将评估与其他所有常春藤院校合作的军事培训与教育课程,相对于其他公立大学和战争部自身的课程,是否符合成本效益。 赫格塞斯持有哈佛大…
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#国际新闻:汽车业生产疲软 德国工业产出连续第四年萎缩! 德国联邦统计局公布的数据显示,受汽车行业生产疲软等因素影响,2025年德国工业产出较前一年下降1.1%,为连续第四年下滑。 新华社引述统计局星期五(2月6日)公布的数据说,2025年德国建筑业产出下降1.7%,剔除建筑业和能源业后的其他工业部门产出下降1.3%。其中,汽车行业和机械设备制造业等关键领域产出降幅较为明显,分别下降1.7%和2.6%。 受劳动力和能源成本高企以及外部需求疲软等制约,德国工业产出连续多年萎缩,2023年和2024年分别下降1.5%和4.5%。在国防、基础设施建设等领域国内需求支撑下,德国工业生产在2025年第四季度出现局部改善迹象。不过,德国工商总会星期五指出,结构性问题仍持续制约工业发展,整体经济层面尚未出现能够带动工业品需求全面增长的复苏势头。 工业在德国经济中占据重要地位,工业产出持续走弱被普遍认为是近年来德国经济增长乏力的重要原因…
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#国际新闻:泽连斯基:美方希望今夏之前结束乌克兰战争! 乌克兰总统泽连斯基说,美国方面希望在今夏之前结束俄乌冲突。 据乌克兰政府星期六(2月7日)发布的消息,泽连斯基之前一天向记者发表讲话说,美国可能按照这个时间表向俄乌施压。他说:“美国首次提议乌克兰和俄罗斯双方谈判团队在一周内于美国会面,地点可能在迈阿密。” 法新社引述他说:“他们说希望在6月前完成所有工作。” 泽连斯基曾多次表示不满,认为乌克兰面临压力做出与俄罗斯相比不成比例的妥协。 他强调,他不会容忍华盛顿和莫斯科在基辅背后达成协议,尤其是在涉及乌克兰主权的情况下。 泽连斯基还说,双方在乌克兰扎波罗热(Zaporizhzhia)核电站的控制权问题上也未能达成“共识”。该核电站自2022年以来一直被莫斯科占领。 新华社引述泽连斯基说,俄军星期六使用400多架无人机和近40枚导弹对乌克兰发动新一轮空袭,救援和修复工作正在进行。他说,乌方急需防空导弹。 泽连斯…
#吉隆坡吃瓜 网友投稿:吉隆坡装修纠纷 屋主手握证据公开爆料 吉隆坡装修从业者YEO WEI CHUNG遭屋主投诉。屋主付定金后,厕所门、天花板工程烂尾,材料也未送达,对方无法出具正式报价单。屋主讨要剩余900令吉定金被拒,还遭到匿名发帖抹黑。 据悉该装修人员也活跃于北马大山脚、居林、双溪大年等地,多名屋主受害。爆料人会公开报警记录与全部证据,提醒大众避雷,欢迎其他受害者联系。
Showing the 12 most recent of 76 posts we hold for @dny88899999. 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
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚|吃瓜爆料|华人社区|社会新闻” (@dny88899999), 24,651 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dny88899999.
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.