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Channel

东南亚资讯|聚焦

@rdsjo

3 usernames

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

17,516subscribers

+1,882 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001438376016
TypeChannel
Usernames@aabyw @ezkex @rdsjo
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 September 2026
Measurements held81
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/rdsjo

Growth

14,86617,54416,20517,5166 August 20266 September 2026
81 measurements spanning 32 days, net +1,882. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 14,464–17,946 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 81
Measured (UTC)SubscribersChange
6 Sept 2026, 16:2017,516no change
5 Sept 2026, 12:0217,516-28
4 Sept 2026, 18:4117,544+9
4 Sept 2026, 03:2117,535+13
3 Sept 2026, 16:1717,522+34
3 Sept 2026, 01:3517,488+24
2 Sept 2026, 15:4517,464+27
2 Sept 2026, 08:3617,437+14
2 Sept 2026, 01:5617,423+28
1 Sept 2026, 12:2517,395+4
1 Sept 2026, 09:2517,391+9
1 Sept 2026, 02:3817,382+56
31 Aug 2026, 13:0717,326+11
31 Aug 2026, 06:5717,315-43
30 Aug 2026, 12:0517,358+3
30 Aug 2026, 04:0317,355-1
30 Aug 2026, 01:3717,356-12
29 Aug 2026, 10:3517,368+206
29 Aug 2026, 04:5717,162no change
29 Aug 2026, 04:1317,162first reading

Engagement

574 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.81%
avg views ÷ 17,516 subscribers
Avg views / post
843
524 posts measured
Reaction rate
0.166%
reactions ÷ views · ER floor
Posts in window
524
of 574 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 118 of 524 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held574 (5 August 20263 September 2026)
Views total441,866
Reactions total169
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:18 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
41m 02s
Average length
22s

Measured directly from 114 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

172 reactions across 114 posts, in 12 distinct kinds. The most used accounts for 43.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7443.0%
6135.5%
🔥95.23%
💩52.91%
😁52.91%
👏42.33%
🤩42.33%
😱31.74%
🙏21.16%
🤔21.16%
🥰21.16%
🤯10.581%

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 123 of the 574 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 173 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 574 most recent posts we hold, published 5 August 2026 to 3 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.

Recent posts

3 Sept 2026, 09:13 UTC155 viewsread 3 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8564309278

3 Sept 2026, 09:13 UTC258 viewsread 3 September 2026
Video

#吃瓜 谁的女朋友在路边跳舞了? 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 08:58 UTC832 viewsread 3 September 2026
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#群友反馈:今天下午七星海也开始大检查啊 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 08:43 UTC863 viewsread 3 September 2026
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#群友反馈:蓝湾现在进入了很多宪兵队开始检查了 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 08:42 UTC857 viewsread 3 September 2026
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#网友投稿:老挝金三角特内桐琴和万国公寓都有警察,据说是来检查办公的, 没有查护照 现在桐琴已经进入D栋检查,治安局和中国成龙一起的,物业老板都过来了,万国公寓已经上楼检查,楼下电梯口还有几个治安局在守着 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 08:14 UTC842 viewsread 3 September 2026
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#网友反馈:我被柬埔寨无良律师坑了2.8万$ 差点命丧监狱 此人是个柬埔寨无良律师,坑蒙拐骗,丧尽天良。律师事务所在海豚警察局附近。 2023年12月底,经本地房东介绍接了我的案子,以帮我保释为名骗取我2.8W美金。我本身只是吸D,因为其拿钱不办事。害我错过黄金时间,最后多花了几倍的代价才得以出来,差点命丧监狱。 本人今年初出狱后联系房东、律师全都置之不理。此人常以警局、监狱、移民局捞人为名,行诈骗之实。本人对被骗之钱已不抱希望,曝光只为揭发其丑恶嘴脸并提醒广大同胞切勿踩雷。 图1:律师,本地房东 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 07:50 UTC856 viewsread 3 September 2026
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#纯干货海外华人必看被盗U风险规避 你的USDT为什么会被盗?以下这些情况都可能导致资产损失: 🔑 助记词 / 私钥泄露 🎣 钓鱼网站 / 假钱包 📝 恶意授权 / Approve ✍️ 恶意签名 / Permit 🦠 木马 / 病毒 / 剪贴板劫持 📱 手机 / 电脑被控 📲 交易所账号被盗 📞 SIM卡 / 短信劫持 📋 地址投毒 / 地址替换 💻 假交易 / 假TXID 🏦 假投资 / 假平台诈骗 🌉 跨链桥 / DeFi漏洞 🧩 恶意DApp / 假空投 ☁️ 云端备份 / 助记词截图泄露 总结: ⚠️ 安全提醒: ❌ 不泄露助记词 ❌ 不随便授权 ❌ 不点陌生链接 ❌ 不相信所谓“客服” ✅ 转账前仔细核对地址 ✅ 大额资金做好分散与安全备份 🔐 保护好私钥,才是真正的资产安全 即时新闻 🌐 一手掌握 ☑️

3 Sept 2026, 07:22 UTC826 viewsread 3 September 2026
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🇲🇲 缅甸诈骗大王获刑43年 缅甸一桩涉案金额达数百亿缅币的特大金融诈骗案日前宣判。诈骗头目“尼尼绥博士”因打着外汇及股票投资旗号、承诺15%月收益疯狂吸金,被法院以经济犯罪判处43年监禁,名下资产全部收归国有。 该案波及仰光、曼德勒等多地民众,受害者涵盖普通百姓、难民乃至出资投资的寺院僧侣。因罪犯资产已被国家没收,成千上万受害者的积蓄与香火钱恐面临无法追回的绝境。 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

3 Sept 2026, 07:02 UTC811 viewsread 3 September 2026
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#柬埔寨资讯:遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日,根据柬埔寨内政部领导的指示,移民总局近日在德乔国际机场开展执法行动,通过专机将122名中国公民遣返回国,其中包括3名女性。 据移民总局消息人士透露,这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

2 Sept 2026, 14:36 UTC681 viewsread 2 September 2026
Video

#吃瓜 狗子:摆好了造型,那我就不客气了~ 即时新闻 🌐 一手掌握 ☑️ 🔜 关注资讯频道 💢 @ezkex 投稿 📥 @tantg

2 Sept 2026, 14:16 UTC727 viewsread 2 September 2026
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#网友投稿:讲讲我被绑架的经历(真实故事)不要和陌生人说话! 在柬埔寨待了有快4年,自认为也算是富有生活经验的一名老狗推,但是后来想想,其实大部分时间在园区渡过,哪有什么经验。 某天晚上,我在金边一家本地酒吧喝酒,我是一个人去的。坐了一会儿以后,有个男的过来跟我聊天,他也是中国人,就问我来柬埔寨多久了,做什么的,住在哪里这些。我当时觉得也没什么(毕竟这边大家都是一些虚假信息和身份,无关紧要),再说也就是聊天还能怎么样。 后来他还说自己在这边做生意,认识很多人,怎么怎么的,也是因为现在的局势不好,天天一个人在金边,喝点小酒。再后来就要和我加个联系方式,出于礼貌,也不好意思拒绝,就加了一个。 过了几天,他又找我,说晚上一起喝酒。我本来是不太想去的,也不太敢去,但是他说还是上次那个酒吧,这我听了就感觉也没什么,我就去了。 这次聊的就多了,有没有女朋友,在这边有没有什么朋友,什么时候回国,我当时也都说了,半真半假。 就这样一

Showing the 12 most recent of 574 posts we hold for @rdsjo. 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 74 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚资讯|聚焦” (@rdsjo), 17,516 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/rdsjo.

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.