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Channel

东南亚 反诈中心

@vlp108

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

46,398subscribers

-13,360 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002191386887
TypeChannel
Username@vlp108
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/vlp108

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 38% 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 the other topics.

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 in near-verbatim form on 3 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
@vlp108/33320 · this entry10 Aug 2026, 11:50 UTC@vlp180/3473014 Aug 2026, 09:13 UTC1.004 days
@vlp108/33328 · this entry10 Aug 2026, 13:03 UTC@vlp180/3473214 Aug 2026, 10:26 UTC1.004 days
@vlp180/3470412 Aug 2026, 08:43 UTC@vlp108/33354 · this entry12 Aug 2026, 12:47 UTC1.004.1 hours
@vlp180/3480018 Aug 2026, 13:00 UTC@vlp108/33430 · this entry18 Aug 2026, 13:00 UTC1.00under a minute
@vlp180/3481219 Aug 2026, 12:40 UTC@vlp108/33446 · this entry20 Aug 2026, 13:01 UTC1.0024 hours
@vlp180/3494427 Aug 2026, 10:56 UTC@vlp108/33527 · this entry27 Aug 2026, 11:12 UTC1.0017 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@vlp18016 (8/8 hand-verifiable sample passed)1.0024 hours@vlp180 (11–5)
@vlp10614 (8/8 hand-verifiable sample passed)1.0045 minutesthis entry (8–6)
@vlp19910 (8/8 hand-verifiable sample passed)0.9869 minutesthis entry (8–2)

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. 19 of the 19 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 1,227 comparable posts for this entry, running 5 August 2026 to 12 November 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).

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 November 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.

Growth

24,07974,06149,07046,3987 August 202613 November 2026
64 measurements spanning 98 days, net -13,360. 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 16,582–81,558 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
13 Nov 2026, 18:0946,398-383
11 Nov 2026, 03:4746,781-64
9 Nov 2026, 13:2146,845-236
8 Nov 2026, 08:0847,081-218
7 Nov 2026, 04:2847,299-181
6 Nov 2026, 06:5647,480-359
5 Nov 2026, 04:1847,839-135
4 Nov 2026, 05:2047,974-91
3 Nov 2026, 06:4948,065+955
2 Nov 2026, 03:1047,110-163
31 Oct 2026, 23:5547,273-406
30 Oct 2026, 22:5947,679-826
29 Oct 2026, 20:3548,505-332
28 Oct 2026, 21:1948,837-460
27 Oct 2026, 21:5849,297-449
26 Oct 2026, 21:0849,746-475
25 Oct 2026, 18:2750,221-317
24 Oct 2026, 17:3150,538-758
23 Oct 2026, 15:3151,296-810
22 Oct 2026, 17:5152,106first reading

Engagement

1,416 posts held, back to 5 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 218 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.08%
avg views ÷ 46,398 subscribers
Avg views / post
964
625 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
625
of 1,416 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 286 of 625 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 13 November 2026
Posts held1,416 (5 August 2026 – 13 November 2026)
Views total602,191
Reactions total5,368
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:50 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

Video runtime
4h 11m
Average length
1m 06s

Measured directly from 230 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

13,109 reactions across 655 posts, in 12 distinct kinds. The most used accounts for 11.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉1,50711.5%
🤩1,48311.3%
🔥1,48211.3%
❤‍🔥1,46711.2%
🥰1,45711.1%
😍1,45511.1%
❤1,44411.0%
💯1,40910.7%
👍1,38910.6%
😁70.053%
👏50.038%
⚡40.031%

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 657 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 13,109 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 15 September 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 625 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 06:59 UTC969 viewsread 13 November 2026
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马达加斯加马任加市QNET诈骗案持续发酵,新增4人被捕,累计16人遭拘留调查 马达加斯加马任加市(Mahajanga)一起涉及QNET Infinity的涉嫌诈骗案件持续发酵。当地警方近日在Tsaramandroso Ambony地区展开后续调查行动,再逮捕4名男性嫌疑人。目前,该案累计已有16人被拘留调查。 据调查,涉案人员涉嫌利用虚假就业机会及高薪承诺诱骗求职者加入组织,向受害者声称每月最高可获得120万阿里亚里(马达加斯加货币)的工资,但要求每人提前缴纳325万阿里亚里的费用,并鼓励参与者继续招募亲友加入。 目前,已有7名受害者向国家宪兵队刑事调查部门报案。受害者表示,他们每人支付了325万阿里亚里,但缴费超过3个月后,仍未获得承诺的工作及报酬。 警方随后对案件展开调查,并于11月8日逮捕4名男性嫌疑人。新增被捕人员已被移交司法程序,并被下令羁押。 截至目前,该案累计已有16人被拘留调查。案件仍在进一步调查中,相…

13 Nov 2026, 06:59 UTC953 viewsread 13 November 2026
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#突发事件:微软邮箱 Outlook崩溃了 ‼️👀 技术故障通知——全球 Microsoft 365 服务中断 目前,Microsoft 正在经历全球性服务中断,影响 Outlook 和 Microsoft Teams 的正常运行。因此,部分用户可能会遇到无法正常访问 Outlook 和 Microsoft Teams 服务的情况。 我们正在持续监控该问题,并将在获取更多信息后及时向大家通报最新进展。🙏 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 06:44 UTC979 viewsread 13 November 2026
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#开心一笑:现在的警察手段真是越来越多,花式都整上了,大锤80,小锤40🤣 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 06:18 UTC981 viewsread 13 November 2026
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到底哪一方占理? 住户:我们不想被牵连进去,赶紧来把他们开工的抓了! 公司:在这个环境里,我们只是想尽可能的多赚钱,有错吗?而且我们有“关系”会通知~ ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 06:06 UTC978 viewsread 13 November 2026
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#网友投稿:今日柬埔寨工作到这,一直紧绷着打野,抽根烟放松下,难得的休闲时间。 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 05:45 UTC971 viewsread 13 November 2026
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美国新任驻柬大使拜访洪森 11月13日上午,柬埔寨参议院主席洪森在金边参议院团结宫,会见美国新任驻柬埔寨大使克里斯托弗·约翰·安德森(Christopher Jon Anderson)。 据报道,双方举行了礼节性会见并进行工作交流。这是安德森以美国新任驻柬大使身份开展的外交活动之一。 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 05:21 UTC959 viewsread 13 November 2026
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#网友投稿:昨晚,西港一名中国人从酒店没穿衣服出来,上头了,直接躺在了地上,坐着怪异的举动。 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 04:56 UTC948 views0 reactionsread 13 November 2026
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#网传吃瓜:B站樱花妹被骗去吗缅甸,看主页状态确实5个月没更新了。或许和昨天网友提供的专业绑架扶手事件有关。 哪个盘口干的,太猖狂了吧 ? ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 04:47 UTC946 viewsread 13 November 2026
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#马来西亚新闻:纳闽移民局展开夜间突击,12名菲律宾籍人员被捕,其中包括6名儿童 马来西亚纳闽移民局于11月11日晚上11时至12日凌晨1时30分展开夜间执法行动,突击检查当地多个地点,共检查84人,并拘留12名菲律宾籍人员,其中包括1名男子、5名女性及6名儿童。 据悉,此次行动由纳闽移民局执法人员展开,执法范围涉及多个地点,包括居民聚居区。行动期间,当局共检查84人,涉及马来西亚、菲律宾及印尼籍人员,最终有12名菲律宾籍人员因涉嫌违反马来西亚移民法令而被拘留。 根据初步调查,涉案人员涉嫌违反《1959/63年移民法令》第6(1)(c)条。被拘留人员随后被带往相关执法机构,以协助进一步调查及处理。纳闽移民局表示,当局将继续加强执法行动,严厉打击非法居留及违反移民条例的行为,并提醒外籍人士务必遵守马来西亚移民法律法规。 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

13 Nov 2026, 04:20 UTC949 viewsread 13 November 2026
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#泰国新闻:曼谷两名中国男子涉嫌设局诈骗同胞女游客!假借换汇、代购手机,受害者损失逾40万泰铢 据泰国媒体《Daily News》报道,11月11日晚,一名28岁的中国籍女游客前往曼谷汇权警察局报案,称自己在泰国旅游期间,遭到多名中国籍男子以交友、陪同游玩、货币兑换及代购手机等方式设局诈骗,累计损失超过40万泰铢。 据受害者陈述,她于10月26日抵达泰国旅游,期间通过中国社交平台“小红书”认识了一名中国籍男子。双方熟络后,对方邀请她在曼谷丁丹区一家餐厅见面,并介绍其他同伙与其认识。随后,这伙人带她前往曼谷娜娜广场一带游玩。 期间,对方以身上没有泰铢现金为由,提出进行人民币与泰铢兑换交易,声称可以将人民币转入受害者的中国银行账户,再由她交付等值泰铢现金。受害者信以为真,先后向对方交付现金。 随后,涉案人员又以类似方式要求继续换汇,并声称已经向她的银行账户转入人民币。受害者在未确认资金真实来源的情况下,再次交付大笔泰铢。 …

13 Nov 2026, 03:56 UTC939 viewsread 13 November 2026
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#网友投稿:尊敬的斯里兰卡驻华大使馆: 我是一名曾被黑中介以高薪工作为诱饵骗至斯里兰卡的中国公民。本人现已成功逃出该诈骗窝点,并安全返回国内。被骗至班达拉奈克国际机场(CMB)附近约3至5公里处的满月园酒店(Full Moon Garden Hotel,地址:754 Colombo Road, Katunayake 11410, Sri Lanka)后,我亲眼目睹并亲身经历了该酒店内以“约炮交友”为名、实际针对中国国内同胞实施电信诈骗的犯罪网络。 该酒店在谷歌地图及谷歌搜索中均可直接查到,搜索方法非常简单:打开Google或Google Maps,直接输入英文关键词“Full Moon Garden Hotel”或“Full Moon Garden Hotel Katunayake”,或中文“满月园酒店”,即可精准定位到该酒店。酒店完整地址为:754 Colombo Road, Katunayake 11410, Sri L…

13 Nov 2026, 03:40 UTC924 viewsread 13 November 2026
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柬埔寨遣返36名涉嫌网络诈骗及非法居留越南籍人员 11月12日,柬埔寨移民总局在干丹省考姆桑国际边境口岸,将36名越南籍人员遣返回国。这批人员涉嫌非法居留、非法工作及涉及违反信托罪行,其中部分人员此前已服刑。 此次遣返行动由移民总局根据内政部高层指示执行。柬埔寨当局表示,将继续加强打击网络诈骗及非法外籍人员活动,依法调查和处理涉案人员,并持续开展清查、拘捕及遣返行动。 ☑️ 东南亚 反诈中心 频道 💥 @vlp108 ☎️ 投稿 爆料 : @qieguo

Showing the 12 most recent of 1,416 posts we hold for @vlp108. 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 recorded as deleted after publishing

We recorded 28 posts on @vlp108 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
11 October 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
0

Mentions

Named by 2 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚 反诈中心” (@vlp108), 46,398 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/vlp108.

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.