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Telegram profile photo for Telegram-新闻曝光社

Channel

Telegram-新闻曝光社

@u321x

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

59,053subscribers

-42,836 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001114348699
TypeChannel
Username@u321x
Description要点资讯,时事新闻,曝光爆料,生活分享,华人求助。 东南亚 缅甸 大件事,华人吃瓜,爆料,悬赏 👌投稿爆料: @TRXoooo1 👌新闻曝光社: @u321x TRX能量飞机会员源头供应商/兑换群 : @TRXooooo1 自动兑换机器人: @jhstrxbot
CreatedBetween 1 February 2017 and 31 October 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/u321x

Topic

Gambling & betting — 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 98% 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 2 other registered channels. 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
@u321x/25676 · this entry6 Aug 2026, 14:24 UTC@ai585/269716 Aug 2026, 14:25 UTC1.0072 seconds
@u321x/25679 · this entry6 Aug 2026, 14:24 UTC@ai585/269726 Aug 2026, 14:25 UTC1.0072 seconds
@ai585/269886 Aug 2026, 15:59 UTC@u321x/25690 · this entry6 Aug 2026, 15:59 UTC1.00under a minute
@u321x/25753 · this entry7 Aug 2026, 12:19 UTC@ai585/270417 Aug 2026, 12:20 UTC1.0072 seconds
@u321x/25764 · this entry7 Aug 2026, 14:44 UTC@ai585/270497 Aug 2026, 14:45 UTC1.0072 seconds
@u321x/25774 · this entry7 Aug 2026, 14:44 UTC@ai585/270527 Aug 2026, 14:45 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ai5858 (8/8 hand-verifiable sample passed)0.9972 secondsthis entry (8–0)
@q0kiss5 (5/5 hand-verifiable sample passed)1.0072 seconds@q0kiss (3–2)

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. 3 of the 3 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 34 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 3, the earliest publisher we hold is @q0kiss. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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 2 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

52,659101,88977,2746 August 2026 — 101,889 subscribers7 August 2026 — 101,881 subscribers8 August 2026 — 101,665 subscribers9 August 2026 — 101,506 subscribers10 August 2026 — 101,216 subscribers11 August 2026 — 100,959 subscribers12 August 2026 — 100,713 subscribers13 August 2026 — 100,611 subscribers14 August 2026 — 100,173 subscribers15 August 2026 — 97,351 subscribers17 August 2026 — 93,418 subscribers18 August 2026 — 93,054 subscribers19 August 2026 — 89,028 subscribers20 August 2026 — 75,062 subscribers21 August 2026 — 74,006 subscribers23 August 2026 — 73,165 subscribers24 August 2026 — 66,659 subscribers25 August 2026 — 62,372 subscribers26 August 2026 — 54,175 subscribers27 August 2026 — 53,744 subscribers28 August 2026 — 53,163 subscribers29 August 2026 — 52,784 subscribers30 August 2026 — 52,659 subscribers1 September 2026 — 71,958 subscribers2 September 2026 — 71,736 subscribers3 September 2026 — 71,621 subscribers5 September 2026 — 71,145 subscribers8 September 2026 — 70,224 subscribers11 September 2026 — 69,648 subscribers13 September 2026 — 64,010 subscribers14 September 2026 — 63,817 subscribers16 September 2026 — 64,560 subscribers19 September 2026 — 61,466 subscribers25 September 2026 — 59,053 subscribers59,0536 August 202625 September 2026
34 measurements spanning 50 days, net -42,836. 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 45,275–109,274 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 19:1959,053-2,413
19 Sept 2026, 03:1961,466-3,094
16 Sept 2026, 19:5664,560+743
14 Sept 2026, 21:1863,817-193
13 Sept 2026, 06:1864,010-5,638
11 Sept 2026, 09:2269,648-576
8 Sept 2026, 14:5870,224-921
5 Sept 2026, 06:5771,145-476
3 Sept 2026, 09:1471,621-115
2 Sept 2026, 05:0671,736-222
1 Sept 2026, 03:1371,958+19,299
30 Aug 2026, 23:4452,659-125
29 Aug 2026, 20:1352,784-379
28 Aug 2026, 18:4253,163-581
27 Aug 2026, 19:5353,744-431
26 Aug 2026, 22:5854,175-8,197
25 Aug 2026, 23:4262,372-4,287
24 Aug 2026, 20:3866,659-6,506
23 Aug 2026, 09:1273,165-841
21 Aug 2026, 19:0574,006first reading

Engagement

1,073 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.49%
avg views ÷ 59,053 subscribers
Avg views / post
878
599 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
599
of 1,073 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held1,073 (6 August 2026 – 27 September 2026)
Views total525,820
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 15:21 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
≈20,200
Videos
≈4,370
Links
≈12,600

Lifetime counters from Telegram’s own channel header, read 27 September 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 42m
Average length
29s

Measured directly from 216 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 2 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 1 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 27 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

27 Sept 2026, 13:41 UTC771 viewsread 27 September 2026
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#网友吐槽 我在西港上班时,遇见了一个非常恶心的客人。 在我明确拒绝他,告诉他我们不合适以后,他还是一直骚扰我,还找他的朋友给我发消息骚扰我,甚至连我的朋友也被他骚扰。他的飞机我拉黑了好几个,他还不停换号码联系我。 前段时间蓝色海湾检查,他问我可不可以来我家待一会,我当时答应了。结果他来了以后,直接躺在我床上,让我感觉非常不舒服,后来还想扒我衣服。我当时直接发疯喊他,他才没有继续动。 之后我离开房间,去了朋友房间,一个晚上加一个上午都没有回自己的房间。直到他看到我一直不回去,才离开。 他说想和我谈恋爱,但我已经明确拒绝了,还告诉他不可能,他却还到处跟别人说我和他在谈恋爱。 我拒绝他的原因,是因为他非常爱画饼,什么都不愿意付出,还总想着占便宜。 期间他一直给我闺蜜发消息,我闺蜜也被骚扰得很烦,只能把他的消息静音。后来他还骂我闺蜜白眼狼,说什么找我闺蜜上班,是他赚钱,还给她订外卖。 但他说的赚钱,本来就是公司安排工作应…

27 Sept 2026, 13:41 UTC764 viewsread 27 September 2026
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#马来西亚新闻 森林城市335人诈骗窝点刚被端,住宅内又发现大批疑似诈骗设备 9月27日,新加坡亚洲新闻台发布对马来西亚柔佛州森林城市的最新调查。7月警方刚在当地端掉大型诈骗窝点、抓获335人,近期又有出租公寓被发现藏有大批疑似用于诈骗活动的设备。 当地一名房东发现,出租公寓每月电费突然超过1000令吉,觉得情况不正常,随后让房产中介上门查看。中介进入房屋后发现大量技术设备,怀疑租客在屋内从事诈骗活动,随后将租客赶走,并向警方报告。 记者近期走访森林城市时,还发现当地仍有网络赌博店营业。赌客可通过Touch ’n Go电子钱包购买游戏额度,再使用店内平板电脑下注,最低约20令吉即可参与。 森林城市7月曾遭警方大规模扫荡。7月15日,柔佛警方突查27套公寓和5栋别墅,捣毁两个网络诈骗团伙,共抓获335人,其中309人为中国籍。 警方当时查获313台电脑、1557部手机、17台笔记本电脑等大量设备,涉案窝点主要从事虚假虚拟…

27 Sept 2026, 13:41 UTC766 viewsread 27 September 2026
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#国内新闻 微信严查头像昵称:今年已处置9万多个账号,严重违规直接封号 9月24日,“微信珊瑚安全”公布账号资料专项治理情况。今年以来,微信已处置相关违规账号92079个,其中2463个账号被关闭。 这次重点整治冒充官方、伪装身份和违规引流等问题。有人用“服务中心”等名称冒充官方机构,有人把账号包装成新闻媒体,还有人在没有认证的情况下使用财经、医疗、司法、教育等专业身份。 微信已对相关账号采取清空资料、禁言、封号等措施。近期部分冒充“村干部”直播带货的账号,已被永久封禁。 头像、昵称和简介如果存在冒充官方、身份伪装,或夹带色情、赌博等违规引流内容,严重的可直接封号。 #本期广告 🙂‍↕️😜😘🔤🔤😀🤩💎😆🤩🔤🤩🤩🤩【000体育】官方网址:000.com ⚡️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】客服: @TRXoooo1 官方大群:@TR…

27 Sept 2026, 13:41 UTC84 viewsread 27 September 2026
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#网友分享 上个月在芭提雅,我和公司同事去酒吧街放松,喝了几桶鸡尾酒,又去了几家酒吧。后来我们去吃东西,碰到4个长得很漂亮的“女孩”,我一开始以为她们是鸡,就邀请她们一起坐下来吃东西。 聊着聊着,我旁边那个女孩突然抓着我的手往她裤子里放,我一摸直接懵了,居然是个人妖。她中文最好,长得也确实漂亮,有假胸和假屁股,还是泰国模特,Instagram上有不少粉丝。 后来她们问我们要不要一起回酒店。我和朋友商量了一下,想着来都来了,最后还是跟着去了。到了酒店以后,我们两个人和4个人妖玩了一晚上。该说不说,外表和皮肤确实跟女人没太大区别,当时喝了酒也比较上头,最后该发生的基本都发生了。 但结束以后就有点后悔了,身上还沾了一些不明的黄色液体,当时也没太在意。 真正让我慌的是,一个月过去了,我和朋友下面周围都长出了很多红疹。现在也不知道到底是什么原因,我还在安慰自己,可能只是东南亚天气太湿热导致的。 只能说那晚确实刺激,现在回想起来是…

27 Sept 2026, 13:41 UTC84 viewsread 27 September 2026
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#泰国新闻 中国公司老板涉骗2000多万潜逃泰国 芭提雅豪华公寓落网 9月27日,泰国警方在春武里府芭提雅一处豪华公寓抓获65岁的中国籍陈姓男子。陈某是中国警方通缉的诈骗嫌疑人,长期担任两家贸易公司的负责人和实际控制人。 2023年3月至2024年1月,陈某通过自己控制的公司与一名大客户签订食糖买卖合同,但公司实际上没有相应供货能力,也没有合同约定的货物。 受害方先后支付超过2000万元人民币货款,折合约1亿泰铢,最终一直没有收到货。相关资金后来被用于偿还陈某此前的债务和个人开支。 2025年8月,中国警方接到报案后立案追查。陈某后来逃往泰国藏匿,泰国中央调查局特警和移民局调查人员锁定其行踪,在芭提雅纳库鲁路一处公寓将其抓获。 泰方已撤销陈某在泰停留许可,并将其交由移民部门拘留,准备送回中国接受调查和司法处理。 #本期广告 🙂‍↕️😜😘🔤🔤😀🤩💎😆🤩🔤🤩🤩🤩【000体育】官方网址:000.com ⚡️兑换TX…

27 Sept 2026, 13:41 UTC78 viewsread 27 September 2026
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#马来西亚新闻 7个月拦截1.0166亿通诈骗和伪装来电,境外号码“变身本地号”也被堵 今年2月至8月,马来西亚一共拦截了1.0166亿通诈骗或号码伪装来电,其中不少电话人在境外拨打,来电显示却被伪装成马来西亚本地号码。 9月27日,马来西亚公布这组最新反诈数据。当地今年启用“跨运营商号码伪装拦截网关”,在不同电信网络之间识别异常来电,发现号码伪装后直接阻断。 这类电话通过技术手段把境外号码“变成”本地号码,让接听者误以为是马来西亚本地电话,从而降低警惕。 副通讯部长张念群表示,短短7个月就拦截超过1亿通相关电话,这套系统已成为马来西亚封堵诈骗和伪装来电的重要手段。 #本期广告 🙂‍↕️😜😘🔤🔤😀🤩💎😆🤩🔤🤩🤩🤩【000体育】官方网址:000.com ⚡️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】客服: @TRXoooo1 官方大群:@TR…

27 Sept 2026, 13:41 UTC768 viewsread 27 September 2026
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#国内新闻 4000多万条个人信息被倒卖 山东枣庄端掉黑产链抓获28人 9月26日,公安部网安局公布一起侵犯公民个人信息案。山东枣庄警方打掉2个犯罪团伙,抓获28人,查获被非法获取、倒卖的公民个人信息4000余万条,涉案金额600余万元。 这起案件最早在2026年5月进入警方视线。滕州公安网安部门发现,马某某长期通过非法渠道大量购买公民个人信息,再批量用于贷款业务电话推销。 警方继续追查发现,背后不只是个人买卖信息,而是一条已经形成规模的黑产链,涉及个人信息获取、整理、转卖和变现多个环节。 查清团伙成员和链条后,警方分赴多地抓捕,28名涉案人员全部落网,2个犯罪团伙被打掉。 #本期广告 🙂‍↕️😜😘🔤🔤😀🤩💎😆🤩🔤🤩🤩🤩【000体育】官方网址:000.com ⚡️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】客服: @TRXoooo1 官方大群…

27 Sept 2026, 13:41 UTC771 viewsread 27 September 2026
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#网友分享 2026年中秋、国庆计划去柬埔寨的朋友注意,入境政策有几个关键变化:入境手续全面电子化,中国护照可享临时免签,电子烟严禁携带。 入境前必须填写 e-Arrival 电子入境卡,不管是免签还是已经办好签证都要填写。可通过 arrival.gov.kh 免费提交,需在抵达前7天内办理,内容包括入境、健康和海关申报。提交后生成的二维码记得截图保存或打印,过关时需要使用。e-Arrival 不等于签证,即使免签也不能省略。 中国大陆、港澳护照可享临时免签,有效期为2026年6月15日至10月15日,单次最多停留14天,支持多次入境。停留超过14天,或不在免签有效期内,需要正常办理签证。 也可以提前办理电子旅游签,费用约30美元,审批时间约3个工作日,有效期3个月,可停留1个月。护照剩余有效期需超过6个月,并准备电子证件照。并不是所有陆路口岸都支持电子签,出发前最好先确认入境口岸。 电子烟管控非常严格,电子烟、水烟及相…

27 Sept 2026, 13:41 UTC767 viewsread 27 September 2026
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#台湾新闻 假冒大陆公安狂骗50多人 “天金诈骗集团”20人被起诉,女首脑被求刑25年 9月27日,台湾彰化地方检察署公布“天金诈骗集团”案件进展,20人已分6波被起诉。集团核心人物林姓女子被检方求刑25年,案件查扣现金超过1000万新台币。 该集团以廖姓男子、林姓女子为核心,设立“天成机房”“金云曜机房”,专门冒充中国大陆公安人员实施诈骗,受害者超过50人。 为了躲避查缉,诈骗机房不断换地方,先后转移至台中梧栖、乌日、北屯等地,还与其他诈骗集团合作,招募车手和收簿人员转移赃款。 其中一名在新加坡留学的学生接到诈骗电话后,被骗称账户涉及洗钱,还被要求前往越南“配合调查”。诈骗人员随后控制其手机,制作学生遭捆绑的视频,再拿视频向其身处中国大陆的台商父亲索要财物。 家长最终在中国大陆交出4公斤黄金,价值超过1600万新台币。集团随后派车手前往中国大陆取走黄金,再将赃款洗白。 案件从2025年10月7日开始追查。2025年…

27 Sept 2026, 13:10 UTC777 viewsread 27 September 2026
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27 Sept 2026, 13:00 UTC753 viewsread 27 September 2026
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Showing the 12 most recent of 1,073 posts we hold for @u321x. 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.

Posts edited after publishing

@u321x edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 September 2026
Most recent edit
9 September 2026

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 21 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Telegram-新闻曝光社” (@u321x), 59,053 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/u321x.

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.