Channel
@c4747
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
47,823subscribers
-47,391 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002235570235 |
|---|---|
| Type | Channel |
| Usernames | @c4747 @uu996 @yaee2 |
| Created | 26 June 2024 — measured — Telegram's own channel record (MTProto) |
| First recorded | 19 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/c4747 |
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 67% 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 |
|---|---|---|
| 12 Oct 2026, 20:55 | 47,823 | -2,051 |
| 9 Oct 2026, 03:39 | 49,874 | -196 |
| 8 Oct 2026, 16:17 | 50,070 | -586 |
| 8 Oct 2026, 08:58 | 50,656 | -2,347 |
| 5 Oct 2026, 05:20 | 53,003 | -922 |
| 4 Oct 2026, 03:00 | 53,925 | no change |
| 3 Oct 2026, 23:59 | 53,925 | -8,061 |
| 25 Sept 2026, 10:39 | 61,986 | -65 |
| 25 Sept 2026, 05:15 | 62,051 | -5,576 |
| 19 Sept 2026, 00:21 | 67,627 | -792 |
| 17 Sept 2026, 07:55 | 68,419 | -282 |
| 16 Sept 2026, 13:58 | 68,701 | -846 |
| 15 Sept 2026, 10:18 | 69,547 | -560 |
| 14 Sept 2026, 15:18 | 70,107 | -11,524 |
| 13 Sept 2026, 15:57 | 81,631 | -1,737 |
| 13 Sept 2026, 03:40 | 83,368 | -618 |
| 11 Sept 2026, 23:57 | 83,986 | -5,654 |
| 11 Sept 2026, 04:39 | 89,640 | -497 |
| 9 Sept 2026, 17:17 | 90,137 | -327 |
| 8 Sept 2026, 09:36 | 90,464 | first reading |
933 posts held, back to 19 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 108 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 47 of 382 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 | 933 (19 August 2026 – 4 October 2026) |
| Views total | 292,244 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 03:38 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 317 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.
84 reactions across 82 posts, in 5 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 21 | 25.0% | |
| 🥰 | 17 | 20.2% | |
| 😁 | 16 | 19.0% | |
| ❤ | 15 | 17.9% | |
| 👏 | 15 | 17.9% |
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 94 of the 933 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 933 most recent posts we hold, published 19 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.
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➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
瓦片也难无翻身日 #pg #麻将胡了 菩萨都救不了你 #pg小子 关注大事件频道➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
#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➡️ @uu996 投稿：@xw235
#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。 关注大事件频道➡️ @uu996 投稿：@xw235
#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…
#网友爆料：缅甸猛拉，一家公司在山上，公司在皇家国际四楼，四楼全部是做排列五和七星彩资金盘。 本人去学习了半个月之后，开始接别人的线，还说新人给三个月，业绩也是慢慢一点一点有了。 在后来接了一波新客户准备开了，结果跟我说我的这条线不做了，他妈的不想要，那让我去学习那么久干什么？我自己的新客户有五十多个，全部拿给别人去开了。我就想问问，那你们说不做了是不是为什么我的客户还有线会拿给别人呢？什么意思嘛？ 本来去学习了那么久，好不容易看到了希望，就这样被你们搞到心情都没有了。 你们不要可以说的，他妈的，早知道我就不去学习了，有了新客户才给我说。他们都是打着推广的名号做诈骗。 关注大事件频道➡️ @uu996 投稿：@xw235
Showing the 12 most recent of 933 posts we hold for @c4747. 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 19 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 2 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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件” (@c4747), 47,823 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/c4747.
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.