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Telegram profile photo for 🅥 亚太新闻

Channel

🅥 亚太新闻

@JJZX01

2 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

107,233subscribers

+3,894 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001061179517
TypeChannel
Usernames@JJZX01 @sss4d
Description东南亚【聚焦新闻】 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、商业服务、资源对接...让您看尽东南亚大小事。 ◈投稿小编: @agivip ◈安危新闻: @JJZX03 ◈发财内部群 : @JJZX06 ◈曝光频道: @JJZX02 聚划算能量TRX会员自动兑换机器人: @jhstrxbot
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live21 October 2026
Measurements held90
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/JJZX01

Topic

International news — 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 10 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@JJZX01/29009 · this entry6 Aug 2026, 14:13 UTC@JJZX04/300946 Aug 2026, 16:21 UTC1.002.1 hours
@JJZX04/301717 Aug 2026, 12:10 UTC@JJZX01/29080 · this entry7 Aug 2026, 12:10 UTC1.00under a minute
@JJZX01/29089 · this entry7 Aug 2026, 14:35 UTC@JJZX04/301987 Aug 2026, 14:37 UTC1.003 minutes
@JJZX01/29079 · this entry7 Aug 2026, 12:09 UTC@JJZX04/302007 Aug 2026, 14:38 UTC1.002.5 hours
@JJZX01/29070 · this entry7 Aug 2026, 12:07 UTC@JJZX04/302017 Aug 2026, 14:38 UTC1.002.5 hours
@JJZX01/29090 · this entry7 Aug 2026, 14:35 UTC@JJZX04/302147 Aug 2026, 14:58 UTC1.0023 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@JJZX049 (8/8 hand-verifiable sample passed)0.9913 minutesthis entry (8–1)
@JJZX039 (8/8 hand-verifiable sample passed)0.9974 minutesthis entry (8–1)
@JJZX057 (7/7 hand-verifiable sample passed)1.0012 hoursthis entry (5–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 4 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 45 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 5, the earliest publisher we hold is @JJZX05. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

65,167107,23386,2006 August 202621 October 2026
90 measurements spanning 76 days, net +3,894. 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 58,857–113,543 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 90
Measured (UTC)SubscribersChange
21 Oct 2026, 05:09107,233+7,369
20 Oct 2026, 19:2899,864+9,199
20 Oct 2026, 05:5890,665+942
19 Oct 2026, 20:2789,723-58
19 Oct 2026, 06:4089,781-51
18 Oct 2026, 20:0689,832-38
18 Oct 2026, 07:5689,870-987
17 Oct 2026, 17:2990,857-116
17 Oct 2026, 10:1490,973-216
16 Oct 2026, 19:2791,189-440
16 Oct 2026, 10:2891,629-73
15 Oct 2026, 21:1091,702-15
15 Oct 2026, 13:4691,717-57
14 Oct 2026, 18:2691,774no change
14 Oct 2026, 16:4091,774-52
13 Oct 2026, 10:3891,826-10
13 Oct 2026, 07:5691,836-57
9 Oct 2026, 10:5591,893-22
9 Oct 2026, 00:2091,915+26,748
5 Oct 2026, 04:2065,167first reading

Engagement

1,682 posts held, back to 6 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 155 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.59%
avg views ÷ 107,233 subscribers
Avg views / post
1,710
599 posts measured
Reaction rate
0.142%
reactions ÷ views · ER floor
Posts in window
599
of 1,682 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 45 of 599 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 21 October 2026
Posts held1,682 (6 August 2026 – 21 October 2026)
Views total1,024,147
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 06:04 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

Photos
≈22,100
Videos
≈5,300
Links
≈17,000

Lifetime counters from Telegram’s own channel header, read 21 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.

Video runtime
1h 41m
Average length
21s

Measured directly from 291 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

58 reactions across 58 posts, in 7 distinct kinds. The most used accounts for 19.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉1119.0%
🥰1119.0%
👏1017.2%
🔥915.5%
🤩712.1%
👍610.3%
😁46.90%

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 58 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 58 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 4 September 2026 to 21 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

21 Oct 2026, 05:20 UTC≈3,260 viewsread 21 October 2026
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#网友爆料:柬埔寨七星海盘总老魏 各种装逼人设忽悠人上班不发工资,主业国内资金盘、通道、预谋绑架勒索等,并声称关系通天,不怕曝光和报警: 一、人物介绍: 柬埔寨黑盘总老魏(魏闯);老魏第一助理阿伟(梁俊伟),负责所有业务对接;助理2地虎(韩宪江),阿伟小弟;骨干业务员老九(肖友福)。 二、事情经过: 我和朋友两人在国内通过旧同事介绍后,和地虎联系。他声称在西港铂莱需要招聘保镖及内保,2500$/月,工作满三年后,每人另外给200万人民币补贴(多次强调,包括上岗后也多次强调。我们猜到是老板画的饼,提高我们工作的积极性,但我们认为可以顺利拿到基本工资就满足,所以都无所谓)。工作内容是负责保护老板安全。我们在柬埔寨从事安保工作多年,并明确表示不会做违法犯罪事情后,将简历发送给地虎。请示老板后,同意聘用。 7月2号,我们抵达金边机场,地虎先安排车接我们到七星海临时租住的“邻家小院”住下,后通知我们有半个月的考核期,期间没有工…

21 Oct 2026, 05:00 UTC≈3,150 viewsread 21 October 2026
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21 Oct 2026, 04:50 UTC≈3,200 viewsread 21 October 2026
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#西港快讯:今天清晨6点左右,西港星汇小区发生坠楼事件。事件发生后,警察已到场处置。目前,坠楼人员身份及坠楼原因不明。 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩亿级域名|78.COM 🤝🎰🎰🎰🎰🎰🤝💯🎰🎰投注域名:929.ceo 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰投注域名:6633.seo 东南亚【聚焦新闻】😊🇭🇹⚡️⚡️⚡️⚡️⚡️⚡️😐🦑 😍◈投稿小编: @agivip 😍生活素材: @FFxx_06

21 Oct 2026, 04:50 UTC≈3,230 viewsread 21 October 2026
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#币圈新闻:Hyperliquid平台曝出洗钱服务 超2000万美元非法资金流入 10月20日,链上调查员ZachXBT公布调查结果,发现一个名为FreedomXMR(FXMR)的洗钱服务,超过87%的流入资金与非法活动直接相关。 该服务于2026年8月出现在加密货币交易平台Hyperliquid Core上。调查人员追踪单笔超过1万美元的历史资金流入,发现超过2000万美元与勒索软件、黑客攻击、恶意软件及网络诈骗有关。 涉及的案件包括9月发生的DCENT钱包、Fetch.ai、Axelar攻击事件,以及10月发生的Gamdom攻击事件。 资金追踪还发现,FXMR运营者通过库币交易所(KuCoin)获取门罗币(XMR)流动性,相关地址累计向交易所存入资金超过3000笔。 FXMR交易代码早在7月27日就以518.28枚HYPE代币拍下,当时价值约2.8万美元。 Hyperliquid Core此前也出现过类似洗钱服…

21 Oct 2026, 04:49 UTC≈3,230 viewsread 21 October 2026
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#巴基斯坦新闻:伊斯兰堡突袭涉嫌金融诈骗窝点,约200名中国籍人员被捕 据巴基斯坦媒体《The Pakistan Connect》10月20日报道,巴基斯坦国家网络犯罪调查局(NCCIA)在首都伊斯兰堡展开大规模打击网络金融诈骗行动,报道称约200名中国籍人员被捕。 I-9工业区遭突袭,执法人员随后扩大搜查范围 报道称,此次行动首先针对位于伊斯兰堡 I-9 工业区的一处涉嫌非法活动的呼叫中心展开。执法人员随后根据调查线索,在首都其他区域继续开展突击搜查,行动涉及多个地点。 据报道,执法人员在行动中查获笔记本电脑、服务器及电脑硬盘等电子设备,相关设备将有助于调查人员进一步核查涉嫌网络金融诈骗活动的具体情况。 涉嫌通过网络手段实施诈骗,人员具体分工仍待调查 根据目前公开的报道,执法部门怀疑相关人员与涉嫌数字金融诈骗的活动存在关联,调查人员正进一步核实相关人员的身份、具体分工以及可能涉及的违法行为。 不过,截至目前,公开…

21 Oct 2026, 04:49 UTC≈3,260 viewsread 21 October 2026
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#网友爆料:西港名玺水汇二楼会所,后场总管理的女朋友是会所工作的越南女孩子,号码922。 具体的事情是这样:现在大环境都不好,因为这个管理的原因,导致会所的女孩子都相续地离开。迟到罚款、刷不上卡罚款、请假罚款,然后这个大管理让所有的业务向客户推他的女朋友,号码是922,让业务跟客户说,不让客户选择其他女孩子。 目前,公司越南女孩子走了很多。昨天听大家讨论,接下来有10个中国人是一家的,也因为这件事会离开。 现在大环境这么不好,还故意做这个事情,导致公司女孩子全部流失。望名玺的老板清楚了解一下,会所的工作人员为什么都会离开。 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀…

21 Oct 2026, 04:20 UTC≈3,280 viewsread 21 October 2026
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20 Oct 2026, 15:48 UTC≈3,240 viewsread 21 October 2026
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#网友投稿 图中:#袁泽华 外号(阿华)#覃宇婷 (思思)#肖祥尤 (星星)#陈献军 (小亿)#卢章言 (阿六),几人是老乡及亲戚关系曾在特区越南菲律宾做国内诈骗后来辗转到柬埔寨公司上班,由于今年大环境原因导致前公司亏损解散转职成绑匪。阿华是几人之间的领头人,星星负责出谋划策,思思专门负责利用女性优势来进行把男性约到酒店进绑架,犯案几起后来到了金边绑到一个未成年🔞在囚禁期间逼迫其吸毒溜冰但后来由于量过大导致吸毒过量死亡,还有榨干被绑架人的价值进行撕票总犯人命三个人以上,又辗转到马来各地专职成为专业找公司上班,套取公司位置信息地址以及偷拍各种照片还有公司高层人员照片来要挟公司进行勒索,各种威胁,如不成功便计划进行绑架,以上几人信息请各大公司看到自行避雷。目前确定人员已经流窜至吉隆坡在吉隆坡的中国同胞要小心这5个人,绑匪已经流串到吉隆坡了,距离上次给完赎金到现在已经5天了,还是没有我朋友被放的消息,目前生死不明!!!希望广大同胞有看…

20 Oct 2026, 14:54 UTC≈3,310 viewsread 21 October 2026
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#币圈新闻:币安AI代理钱包推出.ai短地址,转账不用再记长串地址 币安宣布,为AI代理设计的钱包功能推出 .ai短地址,用于收款和地址标识,减少复制长串 0x地址的麻烦。 钱包可授权连接 Claude、ChatGPT、Copilot等AI工具,并将代理使用的资金与主钱包隔离。 目标是让用户通过对话下达交易指令,例如:“今天英伟达股票代币再跌5%,就用1000美元稳定币在链上买入。”具体能否执行,仍取决于接入工具、代币支持及授权范围。 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩亿级域…

20 Oct 2026, 14:54 UTC≈3,310 viewsread 21 October 2026
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#国内新闻:全国三季度抓获1.2万余名涉偷渡等犯罪嫌疑人 10月20日,国家移民管理局通报,2026年第三季度,全国共侦办妨害国(边)境管理犯罪案件4432起,打掉重大犯罪团伙100个,挂牌督办重特大案件66起。此次打击重点包括组织中国公民偷渡出境从事电信网络诈骗,以及组织外国人偷渡入境非法务工等犯罪活动。 国家移民管理局同时开展新一轮“捕蛇”追逃行动,集中追捕偷渡犯罪团伙头目和骨干,并对边境地区、非法移民中介等重点区域和行业展开整治,加强跨境执法合作。 此外,第三季度全国口岸边境共破获毒品案件110起,抓获犯罪嫌疑人123人,缴获毒品1.88吨,其中万克以上毒品案件21起;查缴枪支402支、子弹1.3万余发。 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstr…

20 Oct 2026, 14:52 UTC≈3,270 viewsread 21 October 2026
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#马来西亚新闻:吉打州49人涉网络诈骗案开庭 8名本地男子认罪 各罚款5000令吉 10月20日,马来西亚吉打州居林推事庭审理一起网络诈骗案件,共有49名被告出庭,包括8名马来西亚男子及41名印度、巴基斯坦籍人员。 8名本地男子当庭承认参与网络诈骗活动,法庭判处每人罚款5000令吉。另外41名外籍被告,包括7名女性,均不认罪。法庭将案件定于11月24日再次过堂。 根据控状,相关人员于10月9日晚上8时,在居林太子城一处地点共同参与网络诈骗活动。 警方此前捣毁该诈骗集团,发现涉案人员涉嫌冒充印度警察实施网络诈骗。此外,3名本地被告还面临容留17名非法移民的指控,三人均不认罪,获准各以8000令吉保释。有关移民案件定于2027年1月18日再次过堂。 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【…

20 Oct 2026, 14:52 UTC≈3,280 viewsread 21 October 2026
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#网友提醒:胡志明2郡 “Feliz En Vista (Altaz)公寓” ,今晚会有警方开展例行检查,在这里的注意了 #🅥广告赞助商 #大额无忧 #黑款包赔 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩亿级域名|78.COM 🤝🎰🎰🎰🎰🎰🤝💯🎰🎰投注域名:929.ceo 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰投注域名:6633.seo 东南亚【聚焦新闻】😊🇭🇹⚡️⚡️⚡️⚡️⚡️⚡️😐🦑 😍◈投稿小编: @agivip 😍生活素材: @FFxx_06

Showing the 12 most recent of 1,682 posts we hold for @JJZX01. 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.

Forward network

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.

Mentions

Named by 19 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.

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 21 October 2026 — this entry's latest reading, not the date you are reading this.

“🅥 亚太新闻” (@JJZX01), 107,233 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/JJZX01.

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.