👉🏻灰产吃瓜 @Sviprr 👉🏻吃瓜曝光 @Xocow 👉🏻东南亚大新闻 @Bc716 😮吃瓜群众 @Ton5c 😮色色吃瓜 @Eysiy 😮吃瓜搞笑 @cg776 😘欧美 @Uowey 😘欧美2 @xigot 😘欧美3 @Ofutt 😘日本无码 @Daacy 😘日本Fac @Rav266 😘日本中文字幕 @Eycco 😘 国产无码 @Vojoj 😳表情包 https://t.me/pu229/7 😚色频解除教程 https://t.me/pu229…
❤1

Channel
@Ag811
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
78,950subscribers
+40,070 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002667663432 |
|---|---|
| Type | Channel |
| Usernames | @Ag811 @sviprr |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 67 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/Ag811 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 06:42 | 78,950 | -4 |
| 26 Sept 2026, 06:41 | 78,954 | -1,874 |
| 19 Sept 2026, 11:58 | 80,828 | +1,157 |
| 17 Sept 2026, 13:40 | 79,671 | +9,216 |
| 16 Sept 2026, 23:01 | 70,455 | +25,337 |
| 15 Sept 2026, 15:58 | 45,118 | +9,368 |
| 15 Sept 2026, 01:19 | 35,750 | +18,001 |
| 13 Sept 2026, 23:57 | 17,749 | -657 |
| 13 Sept 2026, 09:15 | 18,406 | -865 |
| 12 Sept 2026, 04:17 | 19,271 | -216 |
| 11 Sept 2026, 10:20 | 19,487 | -722 |
| 9 Sept 2026, 23:02 | 20,209 | -736 |
| 8 Sept 2026, 17:15 | 20,945 | -889 |
| 6 Sept 2026, 18:17 | 21,834 | -431 |
| 5 Sept 2026, 08:58 | 22,265 | -688 |
| 4 Sept 2026, 04:20 | 22,953 | -431 |
| 3 Sept 2026, 09:33 | 23,384 | -137 |
| 2 Sept 2026, 17:35 | 23,521 | -602 |
| 2 Sept 2026, 04:19 | 24,123 | -209 |
| 1 Sept 2026, 14:55 | 24,332 | first reading |
849 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 80 pages of 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. It is computed over the 235 of 439 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 849 (7 August 2026 – 26 September 2026) |
| Views total | 998,949 |
| Reactions total | 273 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:05 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 140 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.
429 reactions across 387 posts, in 9 distinct kinds. The most used accounts for 14.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 62 | 14.5% | |
| 🔥 | 57 | 13.3% | |
| 🎉 | 52 | 12.1% | |
| 👍 | 51 | 11.9% | |
| 👏 | 51 | 11.9% | |
| 🤩 | 50 | 11.7% | |
| 🥰 | 50 | 11.7% | |
| ⚡ | 46 | 10.7% | |
| ❤ | 10 | 2.33% |
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 388 of the 849 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 429 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 849 most recent posts we hold, published 7 August 2026 to 26 September 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.
👉🏻灰产吃瓜 @Sviprr 👉🏻吃瓜曝光 @Xocow 👉🏻东南亚大新闻 @Bc716 😮吃瓜群众 @Ton5c 😮色色吃瓜 @Eysiy 😮吃瓜搞笑 @cg776 😘欧美 @Uowey 😘欧美2 @xigot 😘欧美3 @Ofutt 😘日本无码 @Daacy 😘日本Fac @Rav266 😘日本中文字幕 @Eycco 😘 国产无码 @Vojoj 😳表情包 https://t.me/pu229/7 😚色频解除教程 https://t.me/pu229…
❤1
菲律宾帕赛市跨国恋爱诈骗案,中方男子被骗13万比索,警方诱捕2人 9月26日,菲律宾帕赛市警方侦破一起跨国恋爱诈骗案件。一名30岁中国籍男子与23岁菲籍女子交往期间,被对方以见家长、确立关系等名义多次索取财物,累计损失约13万比索。女方随后要求男子准备20万比索现金展示财力,并于当日凌晨追加索要1万比索。男子察觉异常后报警。警方制定诱捕计划,由男子交付标记现金,于上午10时20分成功抓获该女子。同行的29岁男子因试图通风报信、协助嫌疑人逃脱而被捕。目前,该女子面临诈骗指控,同伙则因妨碍司法公正接受调查。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
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#菲律宾资讯:内格罗斯西部查获893万比索走私香烟,4人被捕 菲律宾内格罗斯西部省警方9月25日开展行动,查获价值约893万比索的走私香烟,逮捕4名男子。 在伊萨贝拉镇Barangay 3,警方拦截一辆货车,在150袋红洋葱下发现走私香烟,当场逮捕3人,分别为32岁Rey、32岁Virgil及46岁Gery。 共查获155箱New Berlin Red香烟和19箱Modern Red香烟,上述产品均未按菲律宾法律要求附健康警示图片。 案件正在进一步调查,涉案人员将依法处理。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
#东南亚大事件:持港澳通行证入境香港后,持护照搭乘国际航班前往第三国是否受出境限制的问题存在讨论。 相关争议主要源于将航空公司查验证件与香港出境检查相混淆。持港澳通行证合法入境香港后,从香港机场搭乘国际航班前往第三国时,航空公司依据目的地要求查验护照、签证及机票;香港出境手续则需使用与入境记录一致的旅行证件,即港澳通行证。 简述:港澳通行证用于记录香港入出境;护照用于国际航班及目的地入境手续。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
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台湾新北学生冲突致伤案,国中生持剪刀刺伤高中生颈部,涉嫌杀人未遂遭收容 9月24日下午,新北市瑞芳区一名14岁徐姓国中生与17岁黄姓高中生,先在校车内因音量发生争执,续于饮料店因排队问题引发冲突。徐姓学生持面线摊剪刀刺伤黄姓学生颈部,致其大量出血且一度生命体征消失。 现场女店员与女学生立即按压止血并报警,伤者获救,目前仍于加护病房观察。徐姓学生事后未逃逸,主动配合调查,过程态度冷静。全案以杀人未遂移送,少年法庭裁定收容管教。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
越南女子疑被困西港宁波酒店 据消息称,一名越南籍女子疑似被中国籍人员控制于西港“宁波酒店”,并可能被转卖至缅甸。该女子已向有关部门发出求助,要求尽快介入营救。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
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#泰国资讯:前议员枪杀行政主席,1100万债务纠纷引发命案。 8月10日上午,泰国暖武里府行政组织办公区发生枪击事件。71岁前国会议员差隆·里奥朗(Chalong Riewrang)因追讨1100万泰铢欠款未果,在停车场近距离向行政主席通猜·延巴色(Thongchai Yenprasert)车内连开4枪,致其死亡,司机受伤。 作案经过 监控显示,差隆事先埋伏在受害者车辆附近。通猜准备上车时,差隆敲窗要求交谈,通猜摇下车窗后,差隆开枪射击,共开4至5枪,通猜中四枪,司机手臂受伤。 作案后直播认罪 作案后,差隆致电一档直播节目,向主持人讲述开枪经过,称开了4至5枪。主持人安抚并报警,差隆随后向警方自首。 4项重罪指控 警方对差隆提出4项指控:蓄意杀人、谋杀未遂、无正当理由在公共场所携带枪支、无正当理由在公共场所开枪。 记者会争议 差隆被捕后获准在警局召开记者会,期间未戴手铐、吸烟、大笑,引发争议。泰国总理阿努廷批…
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🇲🇾马来西亚62岁女子被骗逾18.7万美元,诈骗者谎称可协助申请新加坡永久居民身份 一名62岁马来西亚女子遭诈骗集团欺骗,以办理新加坡永久居民身份为由,先后被骗取762,700令吉(约18.7万美元)。 柔佛州新山南区警区主任阿兹鲁·希沙姆·莫哈末·沙菲于9月23日发表声明证实此案。据《海峡时报》报道,受害者于2025年12月在Facebook看到声称提供移民协助的广告,随后拨打广告中的新加坡电话号码。 她随后联系自称可协助办理手续的人员。对方最初称申请费用仅需300新元(约236美元),但随后以多种理由要求支付更多款项。 警方表示,受害者于5月5日至8月31日期间通过123次转账,将个人积蓄汇入嫌疑人提供的多个银行账户,累计金额达762,700令吉。 因对方持续索要款项,受害者产生怀疑并意识到受骗,随后向警方报案。 警方调查相关银行账户后确认交易涉及欺诈。目前,当局已逮捕一名嫌疑人,但未公布其身份详情,亦未透露是否…
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#泰国新闻 【泰国防灾部门警告9月26至27日强降雨】 2026年9月26日,泰国防减灾厅厅长表示,泰国北部下游、中部及东部部分地区仍受洪灾影响。气象厅预警9月25日至27日将出现强降雨至特强降雨,高风险区域可能引发突发洪水及山洪。防减灾厅已要求各省及区中心密切监测水情,及时发布预警,并重点关注低洼及河道沿岸社区。下游地区需关注上游来水,督促民众将物品移至高处并加固防洪设施。各地已准备船只及机械设备,全天候提供救援服务。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
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#越南资讯:张美兰狱中致函求情,愿交出726项房产抵债免死。 9月25日消息,越南女首富张美兰在狱中致函政府财产管理委员会,称其726项黄金地段房地产被严重低估,实际价值可达97亿美元甚至更高。她请求参与资产处置,以偿还侵吞款项换取免死。 📌 核心诉求 张美兰在信中表示,凭借30年房地产经验和对法律的理解,可将多数资产培育成具备持续收益能力的资产,从而帮助政府收回成本。若按最新土地价格标准重新评估,726项资产价值可能提升3至5倍;另有440项资产被评估公司忽略,若重新估价,政府至少可再收回77亿美元。 📌 背景 张美兰因策划越南史上最大金融诈骗案,2024年4月被判死刑。她通过控制西贡商业银行,侵吞约125亿美元,造成损失高达270亿美元。越南检方曾表示,若她能拿出110亿美元,可避免注射死刑。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Sviprr
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10月1日起,举报资金盘、传销、违规直销有奖,最高奖励100万。 自10月1日起,群众举报资金盘、传销、违规直销违法线索可申领奖励。线索经查证属实,最高奖励100万元。 资金盘、传销、违规直销定义 资金盘:无实体经营,依靠发展新成员缴纳费用,以新入资金支付前期参与者回报,资金链断裂后平台停止运营。民族资产解冻、虚拟币理财、高息项目多属此类。 传销:以发展人员为核心,通过拉人入伙、收取入门费,按层级获取提成,非通过产品销售盈利,属违法行为。 违规直销:直销须持有国家许可牌照,超出许可范围、按人头计酬、夸大收益或变相传销的,均属违规。 举报奖励条件 实行实名举报,需提供完整证据,线索为执法机关尚未掌握,经核查立案后方可申领。奖励分阶段发放:线索初步核实后发基础奖励;立案侦查后追加;案件审结后结合涉案规模与危害程度核算,最高100万元。 不予奖励情形:匿名举报;团伙内部骨干人员举报;公安、市场监管部门已办理的案件线索。 …
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#网友补充:部分翻译软件可能存在监控电脑行为,针对大额客户实施劫持。 部分翻译软件会监控用户电脑。当检测到客户准备转账大额资金时,可能通过发送病毒劫持客户的通信账号。 📵 双向信息截流 向客户发送的信息可能被拦截,客户无法接收;客户发送的信息,用户同样无法收到。第三方由此介入通信,诱导客户将资金转至指定地址。 🎭 账号劫持失败后的冒充行为 若无法劫持账号,可能冒充用户身份与客户私聊,促使客户拉黑原账号。部分情况下,直接屏蔽客户后,再以新身份添加。 🧠 需求分析与针对性应对 通过电脑监控获取客户需求与弱点,实施针对性引导。用户后续联系客户时,对方可能表示已与其他方建立联系。 ⚠️ 注意事项 获取优质客户难度较高,建议用户避免随意打开不明文件,并谨慎使用不明翻译软件。 若客户突然拉黑或态度转变,应通过模特致电确认情况,以避免前期沟通投入被第三方利用。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件…
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Showing the 12 most recent of 849 posts we hold for @Ag811. 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.
Named by 4 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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件(吃瓜曝光)” (@Ag811), 78,950 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Ag811.
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.