西港ob3有宪兵警察正在检查索山别墅中,所有路口都封了,中国人禁止出入
👍2

Channel
@TGshibao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
61,428subscribers
-10,097 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001354211987 |
|---|---|
| Type | Channel |
| Username | @TGshibao |
| Created | Between 1 March 2018 and 31 July 2021 — 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 | 57 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/TGshibao |
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 84% 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, 14:55 | 61,428 | -105 |
| 6 Nov 2026, 11:46 | 61,533 | -169 |
| 5 Nov 2026, 10:26 | 61,702 | -190 |
| 4 Nov 2026, 08:19 | 61,892 | -62 |
| 3 Nov 2026, 08:47 | 61,954 | -123 |
| 2 Nov 2026, 11:55 | 62,077 | -40 |
| 1 Nov 2026, 10:28 | 62,117 | -177 |
| 31 Oct 2026, 08:54 | 62,294 | -180 |
| 30 Oct 2026, 05:58 | 62,474 | -79 |
| 29 Oct 2026, 09:16 | 62,553 | -154 |
| 28 Oct 2026, 10:39 | 62,707 | -141 |
| 27 Oct 2026, 07:06 | 62,848 | -80 |
| 26 Oct 2026, 09:18 | 62,928 | -120 |
| 25 Oct 2026, 11:54 | 63,048 | -51 |
| 24 Oct 2026, 13:54 | 63,099 | -230 |
| 23 Oct 2026, 11:59 | 63,329 | -161 |
| 22 Oct 2026, 11:34 | 63,490 | -188 |
| 21 Oct 2026, 06:46 | 63,678 | -229 |
| 20 Oct 2026, 04:48 | 63,907 | -144 |
| 19 Oct 2026, 08:17 | 64,051 | first reading |
1,045 posts held, back to 10 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 171 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 405 of 430 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 1,045 (10 August 2026 – 7 November 2026) |
| Views total | 29,899 |
| Reactions total | 1,260 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 08:47 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 236 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.
1,835 reactions across 683 posts, in 3 distinct kinds. The most used accounts for 97.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,785 | 97.3% | |
| ❤ | 49 | 2.67% | |
| 🥰 | 1 | 0.054% |
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 687 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 1,835 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 31 August 2026 to 7 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: 1 of 431 posts held from the last 30 days (0.232%) 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).
西港ob3有宪兵警察正在检查索山别墅中,所有路口都封了,中国人禁止出入
👍2
今日凌晨三点,马来西亚吉隆坡双威·伟乐城写字楼下的巴比伦KTV遭到突袭,现场装车带走了不少小姐姐和顾客。在马来的各位同胞要小心了。
👍2
马来西亚新山一KTV,清晨时又被突击检查了,带走了很多妹妹。
👍6❤1
#印尼资讯 金融监管机构要求银行严查39,923个涉网络赌博账户 11月6日,印尼金融服务管理局(OJK)公布最新监管数据,要求全国商业银行加强对涉嫌参与网络赌博活动的银行账户进行审查,并对相关账户采取冻结等措施,涉及账户总数达到39,923个。 根据OJK公布的数据,截至最新统计,涉网络赌博账户数量已从10月初的38,796个增加至39,923个,新增1,127个。 OJK要求银行对相关账户实施强化尽职调查(EDD),同时扩大调查范围,进一步核查与涉嫌参与网络赌博人员使用相同人口身份识别号码(NIK)关联的其他银行账户,并根据调查结果采取冻结或关闭账户等措施。 此外,印尼金融交易报告和分析中心(PPATK)此前公布的数据显示,2026年上半年,印尼网络赌博相关资金交易总额估计达到86.8万亿印尼盾。 印尼监管部门表示,将继续加强金融机构监管,从银行账户及资金流动渠道入手,切断非法网络赌博活动的资金链条。
👍6❤1
比亚迪在柬埔寨启用海外首个闪充站 9分钟可充电至97% 比亚迪(BYD)在金边6A国道站举行闪充网络首发仪式,海狮6 EV闪充版现场展示了9分钟内将电量从10%充至97%的技术。柬埔寨由此成为中国本土外首个部署该技术的国家。 首批18座闪充站将于2026年底前在金边、暹粒及西港省等地建成,并计划于2027至2028年实现全国覆盖。此前比亚迪已投资3200万美元在西港建厂,以此积极响应柬政府2030年3万辆电动汽车的发展目标。
👍8❤1
太子园区昔日景象:亲眼目睹大批人员四处逃跑 ! 11月5日,记者前往柬埔寨干拉省金泽园区周边实地探访,走访附近商户及居民,了解园区过去的情况,以及警方开展打击电诈行动后当地发生的变化。 据当地居民介绍,该园区位于干拉省森宝布市Prek Sbov村,周边居民习惯将相关园区称为“ Prince ”,并称其分为1至5区。不过,根据 Cyber Scam Monitor资料,一处被称为 Jinze Property(金泽物业)的园区,在2026年2月20日看起来已经空置。 一名在附近经营小卖部的居民告诉柬单网记者,这一带位置较为偏僻,平时人流量不多。过去园区内人员较多,店铺尚有一定客源,但警方开展打击电诈行动后,园区周边逐渐冷清,生意也明显受到影响。 回忆起当时的情况,该居民称,警方大约从2025年12月底开始展开大规模行动。期间,他曾亲眼目睹大批人员从园区方向跑出,沿着道路四处奔跑,场面令他印象深刻。 此前,这里还曾发生一起…
👍4❤1
#缅甸资讯:掸邦“孟瑙”捣毁电诈网赌窝点,抓获17名中国籍嫌疑人! 缅媒报道:11月6日上午,由执法力量组成的联合工作组开展专项突击清查行动,在掸邦南部孟瑙镇万利村一带,成功端掉一处藏匿于此的网赌电诈窝点,当场抓获17名中国籍涉案人员。 行动现场查获大批作案工具,包括电脑20台、各类手机50部、星链(Starlink)卫星互联网设备5台、发电机1台,同时查封涉案临时建筑。 目前,相关部门正对嫌疑人展开审讯调查,将依法追究责任。
👍4
#马来西亚资讯:古晋发生持刀入室抢劫案!4名蒙面匪深夜闯民宅,绑架华裔一家三口,掠走约10万令吉财物! 116日报道,马来西亚砂拉越州古晋发生一起骇人听闻的入室抢劫案!4名蒙面男子趁凌晨时分潜入住宅,持刀威胁屋主一家三口,并将他们捆绑控制,随后大肆搜刮屋内财物,抢走现金、金饰、手表等贵重物品,总损失估计约10万令吉。 据了解,案件发生于10月31日凌晨约4时38分,地点位于古晋查纳路(Jalan Chanara)TT3住宅区。 根据警方调查,4名嫌犯事先潜入住宅范围,随后利用工具强行破门进入屋内。进入住宅后,匪徒先在一楼搜寻财物,之后进入厨房拿取菜刀,再前往二楼卧室。 当时,屋主夫妇及孩子正在家中休息,突然遭到持刀匪徒威胁。4名嫌犯随后将一家三口捆绑,控制现场后开始翻找屋内财物。 经过一番搜掠,匪徒抢走现金、金饰、手表及其他贵重物品,财物损失估计约10万令吉。 所幸,受害者一家三口在事件中没有受到身体伤害。匪徒得手后…
👍6
我们在菲律宾Tagaytay(大雅台)开设的度假村,尚未正式营业,前后装修了半年之久,眼看就要完工了,没想到竟遭遇一场噩梦。 20至30名蒙面歹徒持枪闯入实施抢劫。晚上10:57分入室,直到凌晨3:30分才离开。劫匪自称是警察,并声称只要钱,不伤害性命。最初索要1000万披索赎金,经过一番商谈,最终确定为200万披索,另外还索要了70克黄金。 事发当日天亮后,我们紧急赶往马尼拉Pasay的NBI总部OTCD部门报警。由于始终联系不上中国驻菲使馆,只好联系中国外交部。外交部提交资料信息后约10分钟,使馆才打来电话询问情况,但也只是简单问询,并叮嘱我们注意安全。 最后,我们把所有希望都寄托在NBI-OTCD部门和Tagaytay地区警方身上。 然而,得知我们返回马尼拉报警后,当地竟然还发短信质问,说案件发生在他们辖区,却没有向他们报警,甚至称我们越权报警。对此,我们只能感到可笑。 NBI-OTCD在当晚便成立调查组,仅用3…
👍3❤1
#印尼资讯:移民局突袭丹格朗两地,11名外国人被扣留,其中8人为中国籍 11月6日报道,印尼苏加诺哈达机场特别移民局联合相关执法部门,11月4日在万丹省丹格朗(Tangerang)的Cengkareng及Kosambi地区展开联合执法行动,重点检查当地企业办公场所及公寓,核查外国人的居留许可及实际活动是否合法。 此次行动共调动77名执法人员,共扣留11名外国人,其中包括8名中国籍人员、2名巴基斯坦籍人员及1名尼日利亚籍人员。 初步调查显示,5名中国籍人员涉嫌滥用居留许可,2名巴基斯坦籍人员涉嫌未按规定申报居住地址,其余4人仍在接受进一步调查。 目前,11名外国人均已被移民部门带走审查。有关部门将根据调查结果,依法决定是否采取进一步移民行政措施,包括遣返等处理。
👍7
最近老挝万象好多酒店都发了通知,有公安部和出入境的警察在检查公寓和酒店,在万象的注意了!!!
👍5
#最新消息:金三角特区抓人不止动用了4辆大巴车,另外一批已经在木棉赌场门口集合了,车上密密麻麻的人。
👍5
Showing the 12 most recent of 1,045 posts we hold for @TGshibao. 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“东南亚-TG新闻(曝光)” (@TGshibao), 61,428 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/TGshibao.
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.