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Channel

东南亚大事件

@qiyiguopaolu

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

22,743subscribers

+5,022 since we began measuring on 19 August 2026

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

Register entry

Telegram ID-1002215267375
TypeChannel
Username@qiyiguopaolu
Description#曝光 #东南亚 #灰产 在飞机上混不知道那些人是好是坏 多关注曝光频道、防止被欺骗财产 📝 免费投稿: @qqqqxxxx Hello @Telegram My channel has not violated the rules and policy of using Telegram
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live28 September 2026
Measurements held24
Confirmed unchanged1 time, most recently 28 September 2026
On Telegramt.me/qiyiguopaolu

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

Growth

16,60622,74319,674.519 August 2026 — 17,721 subscribers19 August 2026 — 17,721 subscribers20 August 2026 — 17,674 subscribers21 August 2026 — 17,549 subscribers22 August 2026 — 17,334 subscribers24 August 2026 — 19,464 subscribers25 August 2026 — 19,153 subscribers26 August 2026 — 18,912 subscribers27 August 2026 — 18,469 subscribers28 August 2026 — 18,310 subscribers28 August 2026 — 18,175 subscribers29 August 2026 — 17,866 subscribers30 August 2026 — 17,485 subscribers31 August 2026 — 17,168 subscribers1 September 2026 — 16,920 subscribers2 September 2026 — 16,606 subscribers4 September 2026 — 18,636 subscribers6 September 2026 — 20,182 subscribers10 September 2026 — 18,938 subscribers12 September 2026 — 17,532 subscribers14 September 2026 — 17,072 subscribers15 September 2026 — 17,290 subscribers17 September 2026 — 21,783 subscribers28 September 2026 — 22,743 subscribers19 August 202628 September 2026
24 measurements spanning 39 days, net +5,022. 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 15,685–23,664 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
28 Sept 2026, 09:4022,743+960
17 Sept 2026, 18:4021,783+4,493
15 Sept 2026, 13:3817,290+218
14 Sept 2026, 00:4117,072-460
12 Sept 2026, 10:1917,532-1,406
10 Sept 2026, 04:2018,938-1,244
6 Sept 2026, 21:4020,182+1,546
4 Sept 2026, 06:1718,636+2,030
2 Sept 2026, 21:4716,606-314
1 Sept 2026, 19:4316,920-248
31 Aug 2026, 19:2417,168-317
30 Aug 2026, 19:2417,485-381
29 Aug 2026, 21:3517,866-309
28 Aug 2026, 23:1818,175-135
28 Aug 2026, 02:1518,310-159
27 Aug 2026, 00:5418,469-443
26 Aug 2026, 03:0718,912-241
25 Aug 2026, 05:2319,153-311
24 Aug 2026, 03:1519,464+2,130
22 Aug 2026, 12:0817,334first reading

Engagement

368 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 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.91%
avg views ÷ 22,743 subscribers
Avg views / post
663
75 posts measured
Reaction rate
22.3%
reactions ÷ views · ER floor
Posts in window
75
of 368 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 74 of 75 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 October 2026
Posts held368 (19 August 2026 – 3 October 2026)
Views total49,693
Reactions total11,080
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 13:50 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
≈19,300
Videos
≈4,710
Links
≈147

Lifetime counters from Telegram’s own channel header, read 3 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 03m
Average length
37s

Measured directly from 101 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

45,674 reactions across 311 posts, in 5 distinct kinds. The most used accounts for 20.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁9,22920.2%
🔥9,22620.2%
❤9,16920.1%
🎉9,06019.8%
👍8,99019.7%

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 311 of the 368 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 45,674 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 368 most recent posts we hold, published 19 August 2026 to 3 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

3 Oct 2026, 13:12 UTC3 views149 reactionsread 3 October 2026
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#泰国资讯:警方抓捕“张女士”,涉嫌在中国敲诈勒索3.5亿泰铢 10月3日,泰国移民局局长纳帕辛·普尔萨瓦特中将兼移民局犯罪调查中心主任,以及移民局调查部门负责人萨拉武特·孔亚中将下令,要求相关调查人员根据中国方面提供的请求信息,对有关外国人员展开调查。 随后,泰国移民局调查部门控制了一名46岁的中国籍女子“张女士”(化名)。据查,她是中国辽宁省大连市中山区公安机关发布的通缉对象,涉嫌犯有敲诈勒索罪。 萨拉武特中将随后依法撤销其在泰国的居留许可,并将其移交移民局调查部门第三组羁押,按照相关程序处理,之后将其遣返回中国接受调查和司法处理。 纳帕辛中将表示,根据中国方面提供的调查资料,自2022年4月左右至今,一名被称为“反假冒商品专家”的“王先生”(化名),与张女士及其他同伙声称,Dyesoo有限公司及其他公司的产品涉嫌添加非法药物。 随后,该团伙涉嫌以在海外网络平台发布损害受害者声誉的信息或新闻进行威胁,包括在抖音(D…

🔥39🎉36❤30👍22😁22

3 Oct 2026, 13:04 UTC≈2,200 views144 reactionsread 3 October 2026
Video

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👍50🎉32❤21😁21🔥20

3 Oct 2026, 12:31 UTC≈1,110 views147 reactionsread 3 October 2026
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#泰国资讯:警方救出两名日本大学生 疑遭高薪工作诱骗进入缅甸诈骗窝点 警方10月2日公布,两名20岁和21岁的日本籍大学生疑遭高薪工作诱骗,经泰缅边境偷渡进入缅甸帕亚通苏后,被送入诈骗窝点。 两人原被承诺获得高薪工作,并由招募者承担机票、住宿及餐饮费用,抵达泰国后被安排前往北碧府,再徒步越境进入缅甸。 9月10日,两人被带到诈骗窝点,并被一名会说日语的中国籍男子控制,要求专门拨打电话诈骗日本民众,两人期间偷偷联系日本驻缅甸使领馆及家人并发送位置,泰国警方接获求助后,于9月30日将两人安全接回泰国。 目前警方正追查负责接送、住宿、越境转运及招募的相关人员,并加强桑卡拉武里边境自然通道的巡查。 东南亚大事件🔔 @qiyiguopaolu

❤36👍30🎉29😁28🔥24

3 Oct 2026, 11:51 UTC4 views163 reactionsread 3 October 2026
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缅甸克钦邦潘瓦地区火药仓库爆炸,已致多人伤亡 据当地居民消息,10月2日下午2时许,缅甸克钦邦其培县其培镇潘瓦地区拉圭村一处火药仓库发生爆炸,造成多人伤亡。 据称,该仓库位于拉圭村学校附近,由一名中国商人所有,仓库存放的火药主要用于道路建设工程。 由于当地此前担心遭到空袭,附近学校已经提前停课,因此此次爆炸暂未造成学生伤亡。 有当地居民称,事发现场目前发现约7具遗体,其中包括一名中国籍商人,但相关身份信息及具体伤亡人数尚未得到官方确认。 截至目前,克钦独立军(KIA)方面尚未就此次爆炸事件发布正式声明,具体事故原因及人员伤亡情况仍有待进一步核实。 东南亚大事件🔔 @qiyiguopaolu

👍35🔥35😁35❤31🎉27

3 Oct 2026, 10:54 UTC4 views138 reactionsread 3 October 2026
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#柬埔寨资讯:茶胶省警方捣毁网络诈骗及洗钱窝点,23岁女子被捕 10月1日,柬埔寨茶胶省警方开展打击网络诈骗(Online Scams)及洗钱犯罪行动,在安哥博里县一处住宅内抓获1名涉嫌从事网络诈骗活动的女子。 据茶胶省警察局消息,警方网络犯罪办公室在安哥博里县安哥博里乡图尔桑卡村展开行动,现场发现并逮捕一名23岁女子,名为Hut Laiheang(音译:洪·莱亨)。 警方初步调查显示,该女子自2023年起涉嫌参与一个有组织犯罪网络。在警方持续打击集中式诈骗园区后,该犯罪网络改变运作方式,由集中办公转为“分散化”操作。 据调查,该网络的中国籍老板及柬埔寨籍管理人员要求员工将相关工作带回各自住宅或租住房间继续进行,以逃避执法部门追查。 警方表示,调查过程中发现的证据显示,被捕女子涉嫌参与的活动并非单纯代收、转账等一般性工作,而是涉及网络诈骗及洗钱等犯罪行为。 警方指称,其涉嫌利用网络赌博平台及相关图片作为诱…

🔥33😁29👍27🎉25❤24

3 Oct 2026, 09:34 UTC≈1,160 views140 reactionsread 3 October 2026
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#台湾新闻 329.9亿洗钱案宣判 “九州博弈集团”总裁重判11年8个月 10月2日,台湾台中地方法院一审宣判“九州博弈集团”洗钱案,集团总裁陈政谷被判11年8个月,并处罚金9000万元新台币、褫夺公权5年。 同案徐培菁被判7年、罚金1200万元新台币;前电视台记者史镇康被判5年、罚金1000万元新台币。全案仍可上诉。 九州集团长期经营多个网络博彩平台,并利用旗下第三方支付系统处理赌资及非法资金。检方调查期间认定,2017年至2023年5月,相关平台处理赌资约438亿元新台币,同时还涉及替诈骗集团处理非法所得。 检警从2023年5月开始持续追查,先后发动10波搜索,查扣不动产、名车、存款及现金等大批资产,2024年8月完成侦查并起诉。 法院此次认定相关不法所得约329.9亿元新台币,并依法宣告没收。包括个人及公司法人在内,共有45名被告被判刑或处罚,罚金合计约5.79亿元新台币。 案件还牵出台中市刑事警察…

😁35❤28🔥27👍26🎉24

3 Oct 2026, 09:12 UTC5 views140 reactionsread 3 October 2026
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🇵🇭 三宝颜锡布格省扫诈行动:抓获近200名外籍人员(含182名中国籍) 菲律宾陆军10月2日通报:当日凌晨,菲律宾国家调查局、移民局联合陆军部队,根据前期摸排掌握的线索,在三宝颜锡布格省阿利西亚镇、西亚伊镇同步发起联合突击,精准清查两处非法网络诈骗窝点。 本次清查行动共查获外籍人员近200名,其中182人为中国籍人员,其余为越南、马来西亚等国籍人员。 执法人员现场查扣手机、电脑等各类涉案电子设备约2000台,所有取证设备已移交法医部门开展数据核验取证工作。 经执法部门初步核查,两处窝点涉嫌从事虚假加密货币、网络投资理财诈骗活动,具备典型的非法离岸博彩(POGO)违规运营特征。 目前当局正在逐一核验所有涉案人员的入境、居留身份信息,同时开展溯源调查,初步研判部分人员疑似遭遇人口贩卖、被胁迫参与诈骗作业。 所有涉案人员将依法被追究违反菲律宾《移民法》《反人口贩卖法》的相关指控。 东南亚大事件🔔 @qiyi…

😁36👍30❤26🔥25🎉23

2 Oct 2026, 15:11 UTC≈1,180 views163 reactionsread 3 October 2026
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#马来西亚资讯:警方破获跨境赌博诈骗资金案 13人被捕 10月2日,马来西亚霹雳州警方公布一起跨境网络赌博诈骗资金案。警方在行动中逮捕13名嫌疑人,包括5名马来西亚人和8名缅甸人,年龄介于20岁至44岁。 警方表示,涉案团伙涉嫌为针对中国人的网络赌博诈骗团伙转移资金。为开设支付宝账户,团伙以每人500令吉的报酬招募马来西亚人提供护照资料,并通过手机完成人脸验证。 调查显示,自今年7月中旬起,该团伙控制约60个支付宝账户,用于接收和转移涉嫌诈骗所得的资金,并按经手金额抽取2%的佣金。警方估计,团伙每天可从中获利约2000令吉。 9月28日,警方在霹雳州安顺展开两次突击行动,逮捕全部13名嫌疑人,并查获65部手机、71张手机卡、8本马来西亚护照、一台笔记本电脑, 东南亚大事件🔔 @qiyiguopaolu

❤37🎉34👍33😁32🔥27

1 Oct 2026, 15:59 UTC≈1,080 views138 reactionsread 2 October 2026
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#老挝资讯:移交78名泰国人,76人涉诈骗等案件,8人因涉案被当场逮捕 10月1日上午10时,老挝博胶省会晒移民部门通过第四泰老友谊大桥,向泰国移交78名泰国人。 据悉,其中76人此前在老挝涉及呼叫中心诈骗、非法务工或非法入境等问题,另有2人涉嫌非法入境。泰国警方接收人员后,立即进行身份核查和案件筛查,暂未发现其中有人属于人口贩运受害者。 警方查询刑事数据库时发现,8人已被泰国法院签发逮捕令,包括4男4女。他们涉嫌网络诈骗、充当“马仔”账户持有人、参与跨国犯罪组织及洗钱等案件。 这8人随后被当场扣押,并移交相关辖区警方进一步追诉。其余人员完成登记后获准返回原籍。 东南亚大事件🔔 @qiyiguopaolu

🎉33🔥31😁28❤24👍22

1 Oct 2026, 15:58 UTC≈1,120 views147 reactionsread 2 October 2026
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🔥35👍32❤30🎉27😁23

1 Oct 2026, 14:11 UTC7 views147 reactionsread 2 October 2026
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#柬埔寨曝光 #安溪 #林艺渊 #骗招拐卖 东南亚外号阿麟,真实姓名林艺渊,籍贯福建省安溪县虎丘镇罗岩村人。这人以前在老皇乐园区千亿集团做代理,还兼集团人事总监负责人,专门负责骗招诈骗人员。目前人已经在国内。 他专门用各种形式骗招、组织人员偷渡,把人骗进公司。人要离职,就得交高额赔付。他还趁着职位便利,贪污公司资金去赌博。后来公司发现了,他就教唆别人替他顶罪,再把替他顶罪的人卖掉,涉嫌拐卖人口这些违法犯罪行为。 这种人一点人性都没有。连自己老乡也骗,骗了很多人组织偷渡出来,赚人头费,涉案金额巨大。 东南亚大事件🔔 @qiyiguopaolu

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1 Oct 2026, 13:04 UTC8 views140 reactionsread 2 October 2026
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#老挝资讯:公安部专案组向泰国警方移交25名涉嫌网络犯罪及网络赌博的泰国籍人员 9月30日,在老挝万象首都泰国廊开第一友谊大桥口岸,老挝公安部专案组将25名涉嫌从事网络犯罪和网络赌博的泰国籍人员移交给泰国警方,其中包括11名女性,由泰方依法继续进行调查和处理。 据了解,这25名涉案人员此前于2026年9月16日,在老挝公安部专案组对网络犯罪及网络赌博团伙开展清查行动期间被查获。 此次行动地点包括Eastin酒店、Inthad酒店、Minta酒店以及La Sen酒店。 移交仪式上,老挝方面由第一老泰友谊大桥国际口岸出入境警察检查站的SAYKHAM SOMSII中尉代表签署移交文件;泰国方面则由廊开府出入境警察部门副负责人THIYACHAPHAT RANGSIPHRAMANAKUL中校代表签署接收文件。两国相关部门人员共同参加了此次移交活动。 此次移交25名泰国籍涉案人员,是依据老挝人民民主共和国2014年12月…

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Showing the 12 most recent of 368 posts we hold for @qiyiguopaolu. 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

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Cite this entry

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“东南亚大事件” (@qiyiguopaolu), 22,743 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/qiyiguopaolu.

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