#菲律宾新闻 菲律宾执法部门宣布:115名涉非法博彩(#POGO)中国公民将被遣返 11月6日,菲律宾移民局启动大规模遣返行动,超过100名中国公民被押送至马尼拉机场,安排搭乘中国南方航空CZ5308航班返回厦门。 据菲律宾媒体报道,这批人员主要来自近期两次针对网络诈骗及非法博彩窝点的突袭行动。10月2日,执法部门在三宝颜锡布格省查处一处涉嫌诈骗的窝点;10月12日,警方又在奎松市库包区展开突击搜查。
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Channel
@ttdsj8
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
26,301subscribers
+26,296 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1004465220482 |
|---|---|
| Type | Channel |
| Username | @ttdsj8 |
| Description | 合作/投稿 认准: @zmjs97 |
| Created | Between 1 June 2026 and 12 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 38 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/ttdsj8 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 08:05 | 26,301 | -261 |
| 6 Nov 2026, 09:49 | 26,562 | -450 |
| 5 Nov 2026, 10:49 | 27,012 | -2,037 |
| 4 Nov 2026, 07:00 | 29,049 | -799 |
| 3 Nov 2026, 08:15 | 29,848 | -255 |
| 2 Nov 2026, 09:26 | 30,103 | -598 |
| 1 Nov 2026, 09:00 | 30,701 | -222 |
| 31 Oct 2026, 11:14 | 30,923 | -7,675 |
| 30 Oct 2026, 12:15 | 38,598 | -233 |
| 29 Oct 2026, 15:17 | 38,831 | -130 |
| 28 Oct 2026, 18:20 | 38,961 | -161 |
| 27 Oct 2026, 21:47 | 39,122 | -158 |
| 26 Oct 2026, 20:17 | 39,280 | -24 |
| 25 Oct 2026, 21:56 | 39,304 | -524 |
| 24 Oct 2026, 19:45 | 39,828 | -24 |
| 23 Oct 2026, 21:00 | 39,852 | -148 |
| 23 Oct 2026, 00:26 | 40,000 | -73 |
| 21 Oct 2026, 22:40 | 40,073 | -16 |
| 20 Oct 2026, 18:11 | 40,089 | -20 |
| 19 Oct 2026, 15:28 | 40,109 | first reading |
1,320 posts held, back to 12 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 130 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 555 of 607 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 1,320 (12 August 2026 – 8 November 2026) |
| Views total | 787,210 |
| Reactions total | 12,491 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 01:43 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.
Lifetime counters from Telegram’s own channel header, read 8 November 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.
Measured directly from 203 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.
21,933 reactions across 930 posts, in 9 distinct kinds. The most used accounts for 11.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 2,509 | 11.4% | |
| ❤ | 2,503 | 11.4% | |
| 🎉 | 2,466 | 11.2% | |
| 🥰 | 2,462 | 11.2% | |
| ❤🔥 | 2,437 | 11.1% | |
| 😍 | 2,417 | 11.0% | |
| 🔥 | 2,395 | 10.9% | |
| 👍 | 2,380 | 10.9% | |
| 🤩 | 2,364 | 10.8% |
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 930 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 21,933 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 20 September 2026 to 8 November 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.
Telegram’s own ‘edited’ marker: 0 of 607 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#菲律宾新闻 菲律宾执法部门宣布:115名涉非法博彩(#POGO)中国公民将被遣返 11月6日,菲律宾移民局启动大规模遣返行动,超过100名中国公民被押送至马尼拉机场,安排搭乘中国南方航空CZ5308航班返回厦门。 据菲律宾媒体报道,这批人员主要来自近期两次针对网络诈骗及非法博彩窝点的突袭行动。10月2日,执法部门在三宝颜锡布格省查处一处涉嫌诈骗的窝点;10月12日,警方又在奎松市库包区展开突击搜查。
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#巴基斯坦资讯:卡拉奇捣毁大型诈骗呼叫中心,273人被捕,查获339台笔记本电脑 11月5日,巴基斯坦卡拉奇消息:当地国家网络犯罪调查局(NCCIA)于11月4日突袭一家名为 Voxtron Solutions 的大型呼叫中心,现场共逮捕273人,其中包括女性及未成年人。执法人员在行动中查获 339台笔记本电脑、152部手机及4台台式电脑。 据调查,该呼叫中心涉嫌冒充外国银行及金融机构工作人员,以降低贷款利率、减免债务、核实欠款等理由联系境外客户,诱骗受害者提供银行卡资料及个人敏感信息,随后通过商户账户进行未经授权的金融交易,并将资金转移。 案件方面,9名主要嫌疑人已被法院批准羁押两天,以配合进一步调查。部分女性及未成年涉案人员获准缴纳保释金后保释。 NCCIA官员还透露,卡拉奇目前可能存在约300至350家类似的可疑呼叫中心,相关部门将继续调查其运营情况及背后的诈骗网络。 目前,案件仍在进一步调查中,执法部门正对查获…
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#金边 #金街 金边金街人气回暖?生意仍冷清 11月3日,记者走访金边金街发现,街区人流较此前有所增加,多数餐饮、美容、服装及奶茶店正常营业,还有新店正在装修。部分商户表示,进入10月后,街上的中国面孔比前几个月多了。 今年5月,警方突袭金街一处非法赌场,带走100多人,此后多家娱乐场所关闭,街区生意明显下滑。 不过,记者回访3家餐厅发现,营业额仍处于较低水平。商户反映,虽然街上的人开始多了,但进店消费的顾客并未明显增加。
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#柬埔寨新闻 长城赌场附近发生枪击案,警方一小时内逮捕3名涉案中国籍男子,1名中国籍女子受重伤 【西哈努克省讯】 柬埔寨西哈努克省(西港)发生一起枪击事件,一名中国籍嫌疑人使用手枪向一名中国籍女子开枪,子弹由腹部穿透至后背,导致该女子受重伤。 这起事件发生于 2026 年 11 月 4 日深夜 10 时 50 分,案发地点位于西哈努克市第 4 分区第 3 村的“1月7日路”(靠近长城赌场)。 接报后,国家警察副总监兼西哈努克省警署署长苏罗塔(Sar Ratha)中将亲自指挥,由负责轻拿刑事犯罪的省警察局副署长诺帕尼亚(Nop Panya)准将率领专业警力赶赴现场展开调查。 案发仅约 1 小时后,警方成功拦截并逮捕了 1 名中国籍男性犯罪嫌疑人。随后,警方顺藤摸瓜深入侦查,再行抓获了另外 2 名中国籍同伙。目前,3 名涉案嫌疑人均已被押解至西哈努克省警察局接受进一步审讯及依法处置。 由于伤者伤势过重,该名受重伤的中国籍女…
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#小菲曝光 #LALAMOVE #骑手 #小偷 翻译:看看有没有人认识这个骑手!! 帮忙扩散一下!下午 3:48 在 Greenhills 取走了手机/货品,结果到现在人还没送达!打电话联系不上,留的号码也是关机!APP 里的订单也消失了!哥们儿不管你是谁,你这良心真是被狗吃了!一点都不讲正道!!这钱挣得多不容易,你都做了些什么!!那是我自己的钱,因为买家要货到付款(COD),所以我先垫付了,结果你直接给偷走了!你这骑手可真够硬气的!祝你今晚饭吃得香啊!!轻轻松松就套走一台 iPhone 是吧!!真是毫不费力!!现在的某些人真是太可怕了!!那 5500 披索是我最后的积蓄了,我拿去压货本想着能再赚回来,结果你干了什么!!你可真牛逼!!这种人简直让人气炸,一点都不堂堂正正! 名字叫 MELVIN JR AYSON!! Lalamove 平台对于你们这种骑手难道就不采取任何行动吗?一群垃圾!你们就这么放任不管??要是你们管不了自…
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中国人主导 #越南 #酒店电诈窝点!警方查获113人 11月4日,越南公安部公布 #清化省 跨国电诈案最新进展。警方此前突袭当地一家酒店,现场发现113名外国人及大批疑似诈骗设备。 调查发现,该团伙由中国籍人员主导,联合越南及其他国家人员,通过网络和通信设备对境外受害者实施诈骗,初步涉案金额约500亿越南盾,折合约194万美元。 截至11月4日,警方已对94人立案并采取羁押措施,其中包括90名外国人和4名越南人。
#菲律宾 #直播博彩 100多名主播即将入驻!菲律宾Bloomberry押注直播博彩,多名网红艺人加入 菲律宾博彩巨头Bloomberry旗下OnlyFun.PH宣布,计划在今年第四季度引入超过100名主播,为新推出的FollowBet直播博彩平台扩大阵容。 新主播大部分来自Viva旗下视频平台VMX,包括Angeli Khang、Robb Guinto等艺人,后续还有多名网红及艺人陆续加入。 FollowBet将直播、聊天和线上博彩结合,用户可以一边观看主播直播,一边参与投注,投注结果与主播挂钩。#平台规定玩家必须年满21岁,并完成实名认证,同时持有菲律宾娱乐博彩公司(PAGCOR)运营牌照。
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#中柬友谊 #基建狂魔 #柬埔寨 中柬友谊大桥明年1月5日正式通车! 柬埔寨东北部交通迎来大升级!中柬友谊大桥(桔井湄公河大桥)将于2024年1月5日举行正式通车仪式。这座全长1761米、宽13.5米的宏伟桥梁,横跨湄公河,连接桔井省切波里县与普雷克普拉索县。 回顾过去,两岸居民过河全靠渡船,不仅耗时费钱,夜间就医或突发情况更是难上加难。如今,大桥彻底改变了这一现状:出行时间大幅缩短,安全性显著提升,学生上学、居民看病不再受班次限制,真正实现了“说走就走”。 该桥于2023年1月由洪森前首相和王文天大使共同奠基,今年4月起已试运行。它的建成不仅完善了国内交通网,更将强力推动东北部农产品流通及旅游业发展,为当地民众带来实实在在的红利。
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#行业新闻 WhatsApp来电设局 69岁男子被骗走144万 电话诈骗案层出不穷,古晋警方再接获一宗冒充布城检察官的电话诈骗案,一名69岁本地男子误信骗子指其涉及洗黑钱案件,按照对方指示转账,最终痛失144万3355令吉。 古晋警区主任艾力森助理总监昨晚证实此案发生,古晋警方商业罪案调查组在接获有关报案后马上展开调查。 据悉,事主于今年8月25日在住家接获一通来自陌生号码的WhatsApp来电,对方自称是来自布城的检察官。 骗子声称事主涉及洗黑钱活动,并指其面对逮捕令及银行户头冻结令,随后指示事主开设一个Alliance Bank银行户头,并登记骗子所提供的电话号码。 事主不疑有诈,按照对方指示将141万令吉汇入有关银行户头,声称有关款项是为了配合进一步调查。 电话诈骗案层出不穷,古晋警方再接获一宗冒充布城检察官的电话诈骗案,一名69岁本地男子误信骗子指其涉及洗黑钱案件,按照对方指示转账,最终痛失144万3355…
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#网友爆料 #邱秀梅 那个传闻已经回国的“温馨(丘小姐)”,其实根本没走! 她目前正躲在吉隆坡某豪华公寓里,明修栈道暗度陈仓!对外放烟雾弹谎称已经回国,私底下却在疯狂、密集地联系以前的好友,正张罗着要“投资搞新项目”! 🚫 吉隆坡那家店,温馨没有投资一分钱!明面上她只是作为“运营合作”加入,背地里却把合伙人坑惨了! 💨受害者名单曝光,米米也是被骗的! 大家误以为的合伙人“米米”,其实也是彻头彻尾的受害者,被温馨的包装和谎言骗得团团转! 📱 做假账,瞒天过海转移资产! 温馨在担任运营期间,利用职务之便将吉隆坡店款大做假账!店里的血汗钱早已被她悄悄洗走! 🤑 资产秒变比特币,50枚起步已转移! 她早就留好了退路!转移走的店铺资产已经被她悄悄换成了加密货币——比特币(BTC),最少50枚起步!现在直接卷款隐匿! 🚨【友情提示】🚨 和这位“丘小姐”交朋友、谈合作,真的需要十二万分的谨慎! 她现在正拿着洗干净的钱,物色下一…
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#马来西亚资讯:马六甲移民局展开联合执法,31名外籍人员被捕 11月6日消息,马来西亚马六甲州移民局于11月5日展开联合执法行动,突击检查马六甲市 Taman Melaka Raya 和 Taman Kota Laksamana 两处地点,重点清查餐饮场所及建筑工地外籍员工住宿区。 此次行动分别以 Ops Kutip 和 Ops Selera 名义展开,执法人员共检查84名外籍人员,最终逮捕31人。行动期间,部分外籍人员试图逃跑,还有人躲藏在建筑物较高楼层内。执法人员随后利用无人机协助搜寻,最终将相关人员找出并控制。 行动结束后,31名被捕人员全部被押送至 Machap Umboo 移民拘留中心,接受进一步调查及处理。 马六甲移民局将继续加强执法力度,严查非法居留及非法务工等移民违法行为,并提醒雇主遵守外籍员工聘用及准证相关规定。
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Showing the 12 most recent of 1,320 posts we hold for @ttdsj8. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 6 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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“新闻头条大事件” (@ttdsj8), 26,301 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/ttdsj8.
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.