#突发事件:比特派钱包服务器崩了! 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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Channel
@tp111
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
54,349subscribers
+4,405 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001427381992 |
|---|---|
| Type | Channel |
| Username | @tp111 |
| Description | #迪拜 #柬埔寨 #东南亚 #泰国 #缅甸 #金三角 东南亚头条大事件,专注于海外华人最新动态咨询,揭露事实! 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~避免我们的评论区火药味变得更重。本频道鼓励尊重友好的交流方式,进一步发表有意义的评论内容。 投稿联系方式: @Y9527F 让你看尽海外华人大小事 |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 13 October 2026 |
| On Telegram | t.me/tp111 |
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 76% 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 |
|---|---|---|
| 13 Oct 2026, 18:47 | 54,349 | +3,709 |
| 9 Oct 2026, 23:37 | 50,640 | -563 |
| 5 Oct 2026, 18:00 | 51,203 | -807 |
| 30 Sept 2026, 03:21 | 52,010 | +2,792 |
| 18 Sept 2026, 02:19 | 49,218 | -945 |
| 15 Sept 2026, 21:01 | 50,163 | -1,044 |
| 14 Sept 2026, 05:17 | 51,207 | -3,327 |
| 12 Sept 2026, 14:57 | 54,534 | +4,091 |
| 10 Sept 2026, 16:16 | 50,443 | -1,261 |
| 7 Sept 2026, 11:59 | 51,704 | -1,095 |
| 4 Sept 2026, 15:58 | 52,799 | +9,526 |
| 3 Sept 2026, 00:35 | 43,273 | -502 |
| 1 Sept 2026, 20:05 | 43,775 | -783 |
| 31 Aug 2026, 20:28 | 44,558 | -700 |
| 30 Aug 2026, 18:47 | 45,258 | -640 |
| 29 Aug 2026, 15:57 | 45,898 | -422 |
| 28 Aug 2026, 18:12 | 46,320 | -467 |
| 27 Aug 2026, 20:13 | 46,787 | -90 |
| 26 Aug 2026, 23:08 | 46,877 | -320 |
| 26 Aug 2026, 01:04 | 47,197 | first reading |
1,356 posts held, back to 8 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 135 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 512 of 586 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 October 2026 |
|---|---|
| Posts held | 1,356 (8 August 2026 – 14 October 2026) |
| Views total | 2,413,050 |
| Reactions total | 2,244 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 20:58 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 14 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.
Measured directly from 255 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.
3,939 reactions across 855 posts, in 25 distinct kinds. The most used accounts for 32.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,266 | 32.1% | |
| 👍 | 876 | 22.2% | |
| 🤣 | 622 | 15.8% | |
| 😢 | 257 | 6.52% | |
| 😁 | 159 | 4.04% | |
| 😭 | 159 | 4.04% | |
| 👏 | 129 | 3.27% | |
| 🔥 | 117 | 2.97% | |
| 🥰 | 82 | 2.08% | |
| 👀 | 46 | 1.17% | |
| 🤡 | 45 | 1.14% | |
| 👌 | 36 | 0.914% | |
| 💩 | 33 | 0.838% | |
| 🙏 | 18 | 0.457% | |
| 🤮 | 17 | 0.432% | |
| 🤬 | 16 | 0.406% | |
| 👎 | 14 | 0.355% | |
| 🍌 | 13 | 0.33% | |
| 😱 | 13 | 0.33% | |
| 😡 | 12 | 0.305% | |
| 5 further kinds | 9 | 0.228% |
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 860 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 3,939 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 25 August 2026 to 14 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tp111. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 25 August 2026 to 14 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#突发事件:比特派钱包服务器崩了! 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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#群友回复:本来不打算投稿,也不想把事情闹大,但刚刚看到有人投稿曝光马来西亚的黑公司,我觉得,有些事情,既然已经发生了,就不应该一直沉默。总要有人站出来,把自己经历过的事情说出来 马来西亚现在的环境已经够紧张了,我真的不明白,为什么还有一些公司敢这样操作,一步一步消耗别人对这里的信任,破坏原本就不稳定的平衡。 今天要说的是一家位于马来西亚某别墅区、做日本盘的公司 1. 当初承诺不收护照,入职后却以办理签证为由收走护照。 当初谈的时候,明明说好不收护照。结果人过去几天后,公司就以办理签证为由,要求我们交出护照,还说办完就会归还,结果呢?护照一交就是两三个月。 这期间我们不是没有问过,也不是没有催过,而是反复询问了很多次。每次得到的答复几乎一模一样:放心,公司会处理,别担心,问一次是这个答案,问十次还是这个答案。没有明确的时间,没有实际的进展,更没有人给出一个能够兑现的承诺。 公司内部涉及所谓的保护费、资源费等各种费用,整体…
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FBI:“断电行动”取得显著成效 美国联邦调查局发起的代号为“断电行动 OPERATION BLACKOUT”的全球性打诈行动,对全球诈骗中心的大力打击持续取得显著成效。 🔺查扣了约170亿美元的资产与加密货币 🔺逮捕了数百名涉嫌诈骗人员 🔺解救了数千名遭贩运的劳工 🔺在一万多名美国人蒙受财产损失之前向其发出预警 🔺避免了约6.7亿美元的损失 🔺20多个国家目前正协同参与这场打击行动。 联邦调查局称,决不罢休,直至这些犯罪分子受到法律制裁,美国人民及其资产免遭诈骗分子侵害。 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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#突发事件:🇰🇭金边市 Kok Roka 分区刚刚发生枪击事件,造成有人受伤。目前,嫌疑人仍在逃,警方正在追捕。 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
500多人掉进“高收益投资”陷阱,1.6亿养老钱被骗走 10月14日,央视披露一起针对老年人的集资诈骗案。北京一家公司把马术俱乐部、果园、林地、和牛、红酒等项目包装成“稳赚不赔”的投资生意,吸引500多人参与,募集资金超过1.6亿元,其中约九成为老年人。 2018年至2021年,冯某伙同他人,利用自己实际控制的多家公司,对外推出十多个投资项目,承诺年化收益12%至36%。 为了让老人相信项目真实,公司不仅开宣讲会、发传单,还组织投资人坐大巴去外地考察马场、果园等项目。考察过程中,有人出面讲解项目规划,公司还摆出所谓担保、产权证等材料,让投资人以为项目有官方背景、资金有保障。 冯某还公开展示自己的身份证、房本和家庭住址,反复强调自己不会骗人。很多老人因此放下戒心,把几十万元甚至上百万元养老钱投进项目。 这些合同大多是一年或两年期。合同快到期时,业务员又会劝投资人把钱转进下一个项目,重新签合同继续投资。冯某还多次录视频、开…
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#紧急呼吁:为缅甸 Koe Maa Nee 园区的印度受害者伸张正义! 缅甸 Koe Maa Nee 园区据称仍有大量印度人被困并遭受剥削,相关情况亟需引起关注。 一名印度幸存者表示,为了获得释放,他被迫支付了 9,000 美元。由于家庭经济状况困难,他不得不向家人和朋友借钱。他还声称,自己在园区内遭受了严重的虐待和折磨。 如今,他要求园区管理方退还这笔钱,但据称管理方拒绝退款,并表示无法处理此事。 他已准备好公开 WhatsApp 聊天记录、照片、视频及其他相关证据,希望揭露涉嫌虐待和经济剥削的行为,并为自己及其他可能仍被困的人争取正义。 这不仅仅是 9,000 美元的问题,更关乎人的尊严、责任与无数家庭所承受的痛苦。 沉默不应成为涉嫌施害者的保护伞,获救的受害者不应被抛弃! 呼吁印度政府、媒体及人权组织关注此案,展开公正、严肃、独立的调查,追究相关责任,并帮助受害者获得应有的公正与支持。请转发,让更多人关注此事…
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#群友投稿:马来西亚现在很多黑公司都不帮员工弄签证,还有一些离职的时候打着有保护的名义进行多要赔付 如果遇到这样的情况,大家可以直接打报警电话【999】,打过去马放人 ,提醒大家来马来西亚人要慎重 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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柬埔寨高官回应半岛电视台报道:绝不否认诈骗存在 正坚决清剿电诈窝点 针对半岛电视台关于国公省“长湾”涉诈报道,柬埔寨打击网络诈骗委员会常务副主席蔡西那烈表示,柬政府从未否认网络诈骗的存在,但一直采取最高度负责的法律手段予以坚决打击。 蔡西那烈强调,媒体报道中的涉诈画面均发生于大清剿行动之前,这恰恰证明了柬方随后清剿行动的成功。柬政府正全面摧毁诈骗窝点、追捕幕后头目,并深化国际合作,坚决防止网络犯罪卷土重来。 也就是,以后绝不可能有了~~ 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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币安将在11月10日关闭矿池及相关服务 加密货币交易所币安发布公告宣布,将在 2026 年 11 月 10 日 15:00 (UTC+8) 停止币安矿池及其相关服务。受影响的项目包括币安矿池宝、云算力、交易加速以及矿池 API、Telegram 算力提醒以及邮件通知等功能。 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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#网友投稿:今天下午15:00左右,凯旋对面来了很多警察,不是在DP公寓,而是在DP隔壁的巷子里。 我当时就在隔壁楼上,亲眼看到一辆亮着警灯的警车先在凯旋楼下停了一会儿,随后一群警察乘坐普通皮卡车开进了巷子。 我下楼时碰到我们这栋楼的保安,他一直说“Police、Police”,我听完就赶紧打车离开了。这些都是我亲眼看到的,保真。 其实这附近住着不少有合法证件、正常居住的普通人。但最近这种情况越来越让人担心,就算自己证件齐全、没做什么违法的事,也不太敢随便待在家里,毕竟谁也不想无缘无故惹上麻烦,更没有那么多钱去应付。 不过,这次警察是直接冲着那条巷子去的,感觉可能是有明确目标,至于具体查什么,目前还不清楚。 发出来就是想提醒附近的同胞,特别是正常生活、没有涉及任何违法活动的人,最近多留意周围情况,保护好自己,尽量避免受到无端牵连。 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
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🇻🇳 越南拟修法推进酒吧酒店等场所全面禁烟及严控售烟 据越南媒体昨天报道,《越南烟草危害防控法》修订草案目前正接受审查,预计年底提交国会审议。 草案提出,酒吧、卡拉OK、舞厅、酒店及客运站等原本允许设独立吸烟区的室内场所,以及轮船和火车等交通工具,将分阶段逐步过渡至全面禁烟。此外,草案还拟禁止销售点展示卷烟产品,严禁电商与自动售货机售烟,并禁止在学校及医院外100米范围内设售烟点。电子烟、水烟及尼古丁袋等亦被列入全链条禁止范围。该新规预计于2027年7月1日起生效。 🔔订阅东南亚大事件:@tp111 ☎️ 投稿澄清爆料:@Y9527F
Showing the 12 most recent of 1,356 posts we hold for @tp111. 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 2 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.
@tp111 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 23 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 41 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 13 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚头条大事件” (@tp111), 54,349 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/tp111.
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.