Channel
@rdzx0
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
109,541subscribers
+22,427 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001814604306 |
|---|---|
| Type | Channel |
| Usernames | @rd888 @rdzx0 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 56 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/rdzx0 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 16 Sept 2026, 22:00 | 109,541 | -265 |
| 15 Sept 2026, 07:21 | 109,806 | -73 |
| 14 Sept 2026, 20:42 | 109,879 | -169 |
| 13 Sept 2026, 19:21 | 110,048 | -141 |
| 13 Sept 2026, 07:58 | 110,189 | -284 |
| 11 Sept 2026, 22:37 | 110,473 | -106 |
| 11 Sept 2026, 12:41 | 110,579 | -181 |
| 9 Sept 2026, 13:37 | 110,760 | -83 |
| 8 Sept 2026, 21:40 | 110,843 | -223 |
| 6 Sept 2026, 05:15 | 111,066 | -47 |
| 5 Sept 2026, 12:19 | 111,113 | -101 |
| 3 Sept 2026, 20:17 | 111,214 | -5 |
| 3 Sept 2026, 11:42 | 111,219 | -144 |
| 2 Sept 2026, 13:28 | 111,363 | -77 |
| 2 Sept 2026, 02:23 | 111,440 | -140 |
| 1 Sept 2026, 15:12 | 111,580 | -271 |
| 1 Sept 2026, 01:27 | 111,851 | no change |
| 31 Aug 2026, 15:53 | 111,851 | -100 |
| 31 Aug 2026, 03:34 | 111,951 | -114 |
| 30 Aug 2026, 16:12 | 112,065 | first reading |
439 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 74 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 146 of 355 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 439 (10 August 2026 – 16 September 2026) |
| Views total | 447,824 |
| Reactions total | 238 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Sept 2026, 20:13 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 33 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.
241 reactions across 146 posts, in 15 distinct kinds. The most used accounts for 12.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 31 | 12.9% | |
| 👏 | 26 | 10.8% | |
| 👎 | 25 | 10.4% | |
| ❤🔥 | 24 | 9.96% | |
| 🔥 | 23 | 9.54% | |
| ❤ | 21 | 8.71% | |
| 🍌 | 18 | 7.47% | |
| 💔 | 17 | 7.05% | |
| 👌 | 15 | 6.22% | |
| ⚡ | 9 | 3.73% | |
| 🤩 | 9 | 3.73% | |
| 🎉 | 7 | 2.90% | |
| 🥰 | 7 | 2.90% | |
| 😁 | 6 | 2.49% | |
| 😭 | 3 | 1.24% |
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 149 of the 439 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 241 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 439 most recent posts we hold, published 10 August 2026 to 16 September 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.
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#柬埔寨组织偷渡犯罪主谋 #外号东方龙 贩卖我公司多名人员，毫无道德底线请及时联系我处理问题后续全脸曝光包括你全家 诈骗中人物是柬埔寨组织偷渡犯罪集团头目，多年盘踞在东南亚组织偷渡犯罪，涉及偷渡人员上千人，从事电信诈骗贩卖人口等重大犯罪，这个人多次将电信诈骗集团安排的中国偷渡人员在偷渡路上进行贩卖，其行为十恶不赦罪大恶极，因为偷渡导致多名中国偷渡人员中途失联目前了无音讯涉及多起人员在偷渡过程中被转卖残害事件，特此对此人进行全网曝光，希望广大网友认识这个人及时避雷以免遭受迫害，同时也会将这个人在东南亚犯下的滔天罪行材料递交到柬埔寨当局以及中国公安部门将其绳之于法、、、、、全家户籍档案和相关涉及偷渡客户谈话资料后续发布曝光！
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#菲律宾政坛大瓜 前“金主管家”自曝：#POGO与毒枭为萨拉阵营输送巨额资金 一名自称曾长期为菲律宾副总统 萨拉·杜特尔特处理金钱与情报事务的男子近日现身，指控萨拉阵营曾接受来自 POGO经营者及毒品集团 的资金支持。相关爆料来自《Politiko Nightly》节目的独家报道。 前“金主管家”浮出水面 爆料人 拉米尔·拉古诺伊·马德里亚加 声称，他曾是萨拉阵营的“金主管家”。在其经公证的宣誓书中，详细描述了其自2016年以来与杜特尔特家族的“秘密合作”。 马德里亚加称，他在 2016年“猎双打击行动”高峰期首次接触杜特尔特家族。当时他自称是情报人员，曾在国家安全委员会（NSC）、总统安保组（PSG）及菲律宾武装部队情报局（ISAFP）任职。 爆料：2018年起开始为萨拉打造总统竞选基础 他声称，至2018年，他受指示为萨拉·杜特尔特准备 2022年总统选举布局，并按要求成立了名为 “Inday Sara Dut…
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#网友分享 A girl shared how she found it hard to socialize and she felt lonely, so she hired a male duck to hug her and tell her that he cares. Here is the story: "I'm an introverted girl, I had one boyfriend who cheated on me 8 months ago and since then found it incredibly difficult to socialize. Not that many people made an effort. I'm simple, I dont have social media, I have a few friends but they don't really spe…
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#东南亚头条 菲律宾帕西格市一家银行曝出内部盗窃案 一名34岁高级柜员涉嫌利用职务便利， 伪造客户签名并多次擅自提款，涉案金额达439万9838比索。 案件起因竟是一笔4.6万比索的利息未到账。客户查询流水后发现，原本约500万比索的账户余额只剩60万比索左右，资金缺口超过439万比索。 银行随后展开内部调查，该柜员被指承认取走客户资金，并涉嫌伪造预留签名。 目前涉案女子已被警方抓获，面临伪造商业文件实施加重盗窃等相关指控，案件仍在进一步调查。
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#群友投稿：本人自2020年起，就在BOB体育开通代理线，后平台先后更名为半岛体育、星空体育。因发展会员被抓。 在被关押期间，我接触并认识了十几名同样从事BOB体育代理业务的同行。通过大家之间的信息交流，我们发现，此次涉及的代理人员数量较多，而且其中存在一个重大问题，在此不方便曝光。但关于平台代理体系，我们目前已经掌握了不少具体情况，包括BOB CEO炎总的个人信息。 本人此次联系的目的非常明确：希望原BOB体育CEO就代理佣金及相关问题进行一次沟通，并给出明确的解决方案。 我们目前掌握的相关人员、业务及其他信息已经比较完整，也希望公司能够慎重处理。双方如果能够把事情说清楚、解决好，对彼此都是最好的结果。 如果长期得不到任何回应，我们也只能再进行一次更详细个人信息的曝光，先从你的家人开始。或者汕尾陆河你的老家走一趟。 希望贵公司CEO炎总不要再拖延，也不要让我们反复寻找基层人员沟通。
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#网友投稿 猛料.大盘总.外号.（老岩.实名黄**）贵州省黎平县.尚重镇.育洞村人.24年以前在瓦邦开了一个大资金盘叫（SK）这个平台.杀了大几个亿。25年跑到柬埔寨开了个盘有180多号人.开盘叫（CF ）创研金服.做了两个太阳多.后台管理胖子.财务欧阳.欧阳的叔叔是厨师。每个组长有.（啊鲍.小刀.（杨耀是湖南人来黎平生活、他老婆和老岩老婆现在是闺蜜）.（二麻是老岩堂舅子）十七.杨红.托尼.老高.（叉倒水是老岩堂弟）啊郑.小帅.杨忠.）这些都是组长代号。打手叫胖虎.湖南人.大主管老吴.老吴是湖南人.之前孟波洲际酒店老板实际他姓王.柬埔寨在木牌OP园区.在这个园区的时候出现10多个跳楼断手脚的.说回家给医药费到现在也没有处理.。现在老岩搬家到老挝前两个月被警察抓了一次.现在又开始开工了老挝公司有80号人左右.小孟拉公司是他堂弟在管.他堂弟叫（叉倒水.）小孟拉公司开盘两个多月了，小孟拉公司还有（朝老二）一起管理.也是股东.公司全部…
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#东南亚头条 #柬埔寨 金边5人撬空屋偷家具，被居民拍下 9月15日晚上10点半左右，金边堆谷区斯登棉芷高架桥附近，约5名男子撬开一栋无人居住的房屋，把桌子、柜子、椅子等家具往外搬，被附近居民当场发现并拍下照片报警。 警方赶到时，几人已经跑掉，现场留下桌椅、柜子、一幅画以及螺丝刀、剪刀等物品。警方已暂扣相关物品，并寻找屋主报案，同时追查这伙人的下落。
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#东南亚头条 #UK669诈骗园区 数千人求助 称遭强迫劳动与暴力对待 位于克伦邦Sansha Park（UK669）的数千名被困人员近日发出求助，称约6000人被困园区内，多数非自愿进入。 该园区分A、B、C、D四个区，由KNA负责安保，据内部人员透露，部分公司强迫劳动，并频繁施暴惩罚，手段包括背负重物、长时间站立、站在体重秤上等，休息时间也不例外。 上月，一名中国人在园区内死亡。数日前，一名工人与管理层冲突后引发殴打，多名经理被刺伤。内部人员称，约90%的人系被骗、被拐或经人口贩卖进入。想离开者被索要巨额赎金，有人付款后仍未获释。 目前，被困人员呼吁政府、警方及国际组织尽快介入救援 局势持续恶化，已出现死亡、殴打及刺伤事件。
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#网友吐槽 我没发过头条，我人已经离开了柬埔寨，看着每天的新闻，每天的头条，我天天都会刷到，中国人可谓在柬埔寨是最没话语权，走着走没事就挨罚，酒店抓错也给遣返回国，总之一句话你没钱，就弄你，那些绑架真正有大事的你们不敢管，只能整这些小人物，好整钱，大人物都有局长以上保护，现在你们身为一国老百姓快吃吐了，当官的在家高希霸高尔夫要多奢侈有多奢侈，为什么百姓会这么穷？因为中国人有钱刚想消费就会被你罚没钱，原本想吃点好的，半路就被你们设卡要钱，真有事犯错误可以，总没事找事，人性的贪婪太可怕，无底洞，你们只敢欺负中国人，欺负别的国家骑摩托多要钱咋的了，不得让你回家吗？今天抓明天罚，钱都去哪了，为啥不给贫穷百姓分一分，你们国家人以后不出国吗？以后到别的国家一提柬埔寨往脸上吐口水，柬埔寨不都是坏人也有很多善良的人，我只说戒毒警和宪兵警察法院检察院狱警！以后你们有钱让你们子女去外读书一说家里是柬埔寨当官的直接吐口水，还是一句话有钱让你们百姓富…
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#柬埔寨资讯：波贝市清查11处外籍人员住所 排查104人并破获1处网诈窝点 今天，波贝市行政统一指挥部对辖区内3个分区共11处地点展开联合行政检查。行动共排查104名外籍人员（含31名女性），涉及泰、印尼、孟加拉等10国国籍（其中中国籍1人）。经核查，89人证件健全，15人无合法身份证件。 此外，执法人员在行动中还成功破获了1处涉嫌在线诈骗的犯罪窝点。
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Showing the 12 most recent of 439 posts we hold for @rdzx0. 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 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.
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 18 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 63 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚热点资讯” (@rdzx0), 109,541 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/rdzx0.
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.