#最新消息:波贝今日突袭的大楼,被捕600余人直到现在还在装车,人太多了,工作量太大🤣 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445

Channel
soso东南亚-大事件Top🔥
@f77o7
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
15,222subscribers
-1,299 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002242175086 |
|---|---|
| Type | Channel |
| Usernames | @f77o7 @jpzbg101 |
| Created | Between 1 May 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 73 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/f77o7 |
Topic
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 82% 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 |
|---|---|---|
| 14 Oct 2026, 21:19 | 15,222 | -36 |
| 14 Oct 2026, 20:20 | 15,258 | -795 |
| 13 Oct 2026, 12:58 | 16,053 | -14 |
| 13 Oct 2026, 09:39 | 16,067 | -2,077 |
| 9 Oct 2026, 13:40 | 18,144 | -40 |
| 9 Oct 2026, 05:01 | 18,184 | -2,522 |
| 5 Oct 2026, 05:17 | 20,706 | -222 |
| 4 Oct 2026, 19:37 | 20,928 | -4,993 |
| 28 Sept 2026, 13:59 | 25,921 | -1,368 |
| 27 Sept 2026, 00:41 | 27,289 | -4,075 |
| 19 Sept 2026, 16:59 | 31,364 | -290 |
| 17 Sept 2026, 21:41 | 31,654 | -243 |
| 17 Sept 2026, 03:42 | 31,897 | -285 |
| 15 Sept 2026, 17:00 | 32,182 | -47 |
| 15 Sept 2026, 04:38 | 32,229 | -242 |
| 14 Sept 2026, 02:59 | 32,471 | -48 |
| 13 Sept 2026, 12:40 | 32,519 | -156 |
| 12 Sept 2026, 11:20 | 32,675 | -80 |
| 11 Sept 2026, 14:41 | 32,755 | -94 |
| 10 Sept 2026, 09:18 | 32,849 | first reading |
Engagement
1,044 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 91 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.36%
- avg views ÷ 15,222 subscribers
- Avg views / post
- 359
- 391 posts measured
- Reaction rate
- 0.382%
- reactions ÷ views · ER floor
- Posts in window
- 391
- of 1,044 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. It is computed over the 158 of 391 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 October 2026 |
|---|---|
| Posts held | 1,044 (7 August 2026 – 4 October 2026) |
| Views total | 140,547 |
| Reactions total | 206 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 18:04 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
- 4h 24m
- Average length
- 42s
Measured directly from 381 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.
Reaction mix
208 reactions across 160 posts, in 9 distinct kinds. The most used accounts for 14.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 31 | 14.9% | |
| ⚡ | 29 | 13.9% | |
| 🥰 | 29 | 13.9% | |
| 🔥 | 27 | 13.0% | |
| 🤩 | 25 | 12.0% | |
| 👏 | 22 | 10.6% | |
| 😁 | 22 | 10.6% | |
| 🎉 | 21 | 10.1% | |
| ❤ | 2 | 0.962% |
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 160 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 208 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 9 August 2026 to 4 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.
Recent posts
#网友吐槽:不理解为什么那么多人喜欢曝光这、曝光那 现在还有多少个商家留在柬埔寨,还有多少个赌场能正常营业的,赌场、酒店、商铺倒下一个又一个,出国都是做大事的人,做大事不拘小节、不计较,实在没办法就回国,或许你真的不适合吃这碗饭,非要出来找点存在感,选择曝光人家,曝光的时候还把那些无辜的人也带上。 把你出生入死的战友、你一起做事的朋友也带上,你这种人比黑心老板还黑,你曝光了,把别人搞趴下了,你就好过了吗?真出事了,你也算同伙,甚至把你身边的朋友都牵连抓进去坐牢,一个供一个,你也别想能跑掉。 那些喜欢曝光的人,如果大型酒店都倒下了,你住的地方也未必能躲过,没油水捞了,宪兵也迟早会搞你。人生有多少个十年,做灰产的也不知道那天会出事,去恨一个人只会让自己不开心一辈子,为何不选择换一个地方重新开始,学会放下才是做人的最高境界,做小姐的、贩毒的、做医生的等等,那怕你是开嘟嘟车的,都离不开这条灰产链,没有灰产靠本地人光顾生意? 各位…
美国逮捕科技公司老板,涉3亿美元英伟达AI服务器 美国检方日前逮捕38岁的加州科技公司老板Greg Lui(又名Yiu Kong Lui),指控其涉嫌通过马来西亚、新加坡等第三国,将价值超过3亿美元、搭载英伟达高端GPU的服务器违规转运至中国。 检方称,Lui通过虚假文件掩盖服务器最终目的地,并利用货运公司先将设备运往马来西亚、新加坡,再转运至中国。涉案GPU包括Nvidia A100和H100。2024年,其公司据称从两家马来西亚运输公司收到超过1.76亿美元款项。 Lui目前面临违反出口管制、走私及洗钱共谋等3项联邦指控。美国司法部表示,如全部罪名成立,最高刑期可达50年。不过,起诉书中的指控尚待法院审理,被告在定罪前依法推定无罪。 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#网友投稿:在东南亚如何跟对领导? 在东南亚跟对领导,比进对公司有时更重要。这不仅仅是找个对你好的人,更是选择一个能带你成长、值得你追随的领路人。 一个值得跟的领导,通常具备两个核心特质: 有能力:他自己有往上走的能力,手里有在往上走的项目。跟着他,你能接触到核心业务,看到更大的世界。 有良心:他往上走的时候,愿意带下属一起走,会把机会、资源和功劳分给团队,而不是只顾自己吃肉,不管下面人有没有汤喝。 什么样的领导不能深交? 看人下菜碟:对上级毕恭毕敬,但对平级、业务员、本地保洁阿姨等态度傲慢。这种欺软怕硬的人,迟早会用同样的方式对待你。 当众批评下属:好的领导会关起门来教你,而不是办公室让你丢脸来树立自己的威信。 目前东南亚的形势下,跟对人太重要了,一能让你安稳工作,二是能给你机会在东南亚赚钱。希望各位兄弟都能遇到一个好领导,安安稳稳的赚钱回家! 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#国内资讯:一条“快递滞留”短信骗走1万多元,银川女子开启屏幕共享后钱被转走 10月3日,央视新闻公布宁夏银川一起“快递滞留”短信诈骗案例。案件实际发生在4月21日,银川市民王女士收到陌生短信,称她有包裹滞留在快递柜,并附上取件码和客服电话。 王女士近期并没有网购,但还是拨打了短信里的电话。对方冒充抖音客服,称她开通了年度会员,如果不取消,每年会自动扣费3000多元。 王女士担心账户被扣款,按照对方要求下载陌生软件,并开启屏幕共享和远程控制。骗子又以核验账户为由,套取她的银行卡信息、支付密码和短信验证码,随后将银行卡内1万余元转走。 钱到账后,对方立即将王女士拉黑。王女士发现被骗后报警。 警方提醒,收到“快递异常”“包裹滞留”等短信,不要直接拨打短信里的客服电话,应通过快递公司官方App、小程序或官方客服核实。 凡是以取消会员、退款理赔、账户核验等理由,要求下载陌生软件、开启屏幕共享或远程控制,并索要银行卡密码、短信…
#网友回复:出来那么多年了,也去过很多国家跟很多人相处,后面对比下来只有我们国人好像一盘散沙一样,处处内烘。 我也不知清楚你发这片文章的意义是什么,我想无论你是做正规生意也好怎么样也罢,不都是需要国人去帮衬吗?还是你在这边帮柬埔寨的妹妹舔逼人家养着你? 我觉得你能说出这种话你都不配是人养出来的,人家打野把你家谁强奸了还是妨碍你了?你这种人在以前的时代一定是一个汉奸,出门在外少管闲事,把你舔逼的本分工作做好就可以了,别真的跟个傻逼一样胡言乱语! 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#网友投稿:总说自己还年轻,总觉得来日方长,总是因为一点小事热泪盈眶。 在东南亚漂了这么多年,经历过大起大落,也幻想过有一天能走上所谓的巅峰。 见过凌晨的街头,也熬过无数个睡不着的夜晚;赚过钱,也输过钱,换过城市,也换过身边的人。 可日子一天天过去,才发现,所谓的大起大落,不过是人生反复给你上课。 你以为自己变了很多,回头看看,还是那个你。 只是少了当年的冲动,多了一身疲惫;少了对未来的幻想,多了一点对现实的认命。 年轻是真的,老去也是真的。 东南亚的故事还在继续,只是那个曾经满怀期待出发的人,已经慢慢学会了接受自己的普通。 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#网友反馈:西港太子寰宇警察又来检查了,在那边的注意了。 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#网友投稿:我是金三角特外东鹏医院被抓145人其中之一。 别的团队有人管,有人问。我们这一组因为没有业绩,没人管,没人问,在老挝监狱是我今生最痛苦的几天。 从一开始充值就没谈拢,直到送回国。最后全部押送回山东烟台,花了五千块,我给自己取保了。 5月份来的东南亚,8月份回的国,事实已经证明了,现在这个行业已经不行了。出来一趟东南亚钱没赚到,好老板也没找到,最后被抓还要饿肚子! 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#小姐姐投稿:不单单是狗推现在0收入,我们这些做扶手的也一样没业绩。 以前还能靠着一点提成和业绩勉强撑着,现在是真的越来越难了。每天坐着上班,时间一天一天过去,业绩却一点都没有。 吃饭、日常开销一样都不会少,可收入却越来越少。 说真的,现在已经不是赚不赚钱的问题了,而是连下个月怎么生活,都不知道了。 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#网友投稿:越南胡志明市福门村,警方突击检查一处本地人出租屋,逮捕3名中国人和1名越南人,涉嫌网络诈骗。 PS:不是抓诈骗的 ,情报有误 👀关注大事件频道➡️@f77o7 投稿 :@XIAO8445
#巴基斯坦资讯:拉合尔|NCCIA突袭两处非法呼叫中心,超过30人被扣押 10月4日,巴基斯坦国家网络犯罪调查局(NCCIA)拉合尔分区展开行动,对拉合尔 Johar Town 和 Faisal Town 多处涉嫌运营非法呼叫中心的地点进行突袭,现场拘留超过30名涉案人员。 据调查人员介绍,这些呼叫中心疑似通过拨号软件联系境外人员,并以“手机升级”“网络套餐”及其他电信服务为名实施诈骗,主要目标为海外公民。 行动期间,NCCIA人员查获大量电脑、笔记本电脑及手机等电子设备。初步检查发现,部分设备内安装有拨号软件,并存有疑似与诈骗活动有关的数据,相关电子证据目前正在进一步取证和分析。 此外,执法人员还扣押了数辆车辆。NCCIA拉合尔区官员表示,其中部分车辆涉嫌使用犯罪所得购买,目前正进一步调查车辆来源及相关人员的具体关系。 目前,案件已根据《防止电子犯罪法》(PECA)及《巴基斯坦刑法》相关条款立案调查。执法部门正在进一…
Showing the 12 most recent of 1,044 posts we hold for @f77o7. 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 1 registered channel — 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.
@N19955 · 2,68821 posts2028体育 官方频道
@PGGF01 · 2,80921 posts122体育福利中心 - 电子百家乐
@QSTY288 · 2,74421 postsY3国际 u台 福利中心 - 电子百家乐
@Y3111111 · 2,02221 posts8K国际官方频道
@PG8K001 · 53016 posts8K国际福利中心 - 电子百家乐
@GJ8K1 · 2,99614 posts182体育福利中心 - 电子百家乐
@lz5288 · 2,62814 posts赌王之王
@PG151 · 2,12712 posts赌王之王( 122018.com)
@pg88816 · 2,48112 posts东南亚狗推(吃瓜)
@MB_149 · 130,0714 posts种瓜吃瓜|瓜农日记🍉
@chigua18881 · 2,0102 posts78.COM-官方频道@DF78
@tg78com · 27,7902 posts东南亚大事件
@bx666 · 463,6331 post每日吃瓜-搞笑段子
@sosochiguadty · 46,0461 postSpam Info Bot
@SpamBot · 35,499,2841 post头条事件
@toutiaoshijian · 69,2951 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@f77o7 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 5 posts, 2 September 2026 – 8 September 2026
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“soso东南亚-大事件Top🔥” (@f77o7), 15,222 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/f77o7.
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.