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Channel

日本AV焦点新闻

@riben001

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

9,887subscribers

-16,449 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002322138573
TypeChannel
Username@riben001
Description日本AV焦点新闻 致力于成为最值得信赖的选择 我们通过电视、广播和互联网,以多种语言向全世界提供准确公正的新闻和丰富优质的内容。我们以尊重自由和民主的社论促进人与人之间的相互理解。 将拓宽你的视野 我们专业的评论和分析将为您带来日本视角的全新见解,让您对时事和不同的世界观有更深入的理解。我们为您提供全新的视角,以熟悉和意想不到的方式探索事物的本质。 📩 投稿与合作:请联系 @XLJ05 #东京 #横滨 #大阪 #名古屋 #札幌
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/riben001

Topic

Other / unclassifiable — 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 74% 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 word for word on 1 other registered channel. 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
@HKDSJ0/84047 Aug 2026, 10:30 UTC@riben001/16436 · this entry7 Aug 2026, 10:30 UTC1.00under a minute
@HKDSJ0/84067 Aug 2026, 10:43 UTC@riben001/16438 · this entry7 Aug 2026, 10:43 UTC1.00under a minute
@HKDSJ0/84087 Aug 2026, 11:14 UTC@riben001/16439 · this entry7 Aug 2026, 11:14 UTC1.00under a minute
@HKDSJ0/84097 Aug 2026, 11:50 UTC@riben001/16440 · this entry7 Aug 2026, 11:50 UTC1.00under a minute
@HKDSJ0/84127 Aug 2026, 13:10 UTC@riben001/16442 · this entry7 Aug 2026, 13:10 UTC1.00under a minute
@HKDSJ0/84187 Aug 2026, 14:39 UTC@riben001/16448 · this entry7 Aug 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@HKDSJ06 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 7 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 2, the earliest publisher we hold is @riben001 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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

9,88726,33618,111.57 August 2026 — 26,336 subscribers8 August 2026 — 26,336 subscribers10 August 2026 — 26,278 subscribers10 August 2026 — 26,248 subscribers11 August 2026 — 26,246 subscribers12 August 2026 — 26,212 subscribers14 August 2026 — 26,150 subscribers15 August 2026 — 26,144 subscribers17 August 2026 — 26,104 subscribers18 August 2026 — 26,049 subscribers19 August 2026 — 26,016 subscribers20 August 2026 — 26,013 subscribers21 August 2026 — 26,000 subscribers22 August 2026 — 25,976 subscribers24 August 2026 — 25,952 subscribers25 August 2026 — 25,889 subscribers26 August 2026 — 25,876 subscribers27 August 2026 — 25,875 subscribers28 August 2026 — 25,856 subscribers29 August 2026 — 25,833 subscribers30 August 2026 — 25,824 subscribers31 August 2026 — 25,765 subscribers1 September 2026 — 25,706 subscribers2 September 2026 — 25,686 subscribers4 September 2026 — 25,682 subscribers6 September 2026 — 25,673 subscribers9 September 2026 — 25,653 subscribers12 September 2026 — 25,641 subscribers13 September 2026 — 25,624 subscribers15 September 2026 — 25,621 subscribers17 September 2026 — 25,606 subscribers27 September 2026 — 25,493 subscribers4 October 2026 — 25,399 subscribers9 October 2026 — 18,954 subscribers13 October 2026 — 14,746 subscribers14 October 2026 — 14,350 subscribers15 October 2026 — 13,967 subscribers16 October 2026 — 13,845 subscribers17 October 2026 — 13,291 subscribers18 October 2026 — 13,254 subscribers19 October 2026 — 12,983 subscribers20 October 2026 — 12,702 subscribers21 October 2026 — 11,650 subscribers23 October 2026 — 11,598 subscribers24 October 2026 — 11,503 subscribers25 October 2026 — 11,339 subscribers26 October 2026 — 11,287 subscribers27 October 2026 — 11,215 subscribers28 October 2026 — 11,172 subscribers29 October 2026 — 10,995 subscribers30 October 2026 — 10,695 subscribers31 October 2026 — 10,549 subscribers1 November 2026 — 10,382 subscribers2 November 2026 — 10,361 subscribers3 November 2026 — 10,124 subscribers4 November 2026 — 9,887 subscribers7 August 20264 November 2026
56 measurements spanning 89 days, net -16,449. 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 7,420–28,803 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
4 Nov 2026, 16:099,887-237
3 Nov 2026, 13:0910,124-237
2 Nov 2026, 11:4710,361-21
1 Nov 2026, 11:4610,382-167
31 Oct 2026, 11:2110,549-146
30 Oct 2026, 12:1710,695-300
29 Oct 2026, 10:1910,995-177
28 Oct 2026, 06:3711,172-43
27 Oct 2026, 06:1911,215-72
26 Oct 2026, 05:1511,287-52
25 Oct 2026, 07:1411,339-164
24 Oct 2026, 04:4811,503-95
23 Oct 2026, 02:2811,598-52
21 Oct 2026, 22:5711,650-1,052
20 Oct 2026, 20:0712,702-281
19 Oct 2026, 15:4612,983-271
18 Oct 2026, 18:3813,254-37
17 Oct 2026, 15:4113,291-554
16 Oct 2026, 12:0513,845-122
15 Oct 2026, 14:1713,967first reading

Engagement

1,253 posts held, back to 7 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 88 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
37.6%
avg views ÷ 9,887 subscribers
Avg views / post
3,710
163 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
163
of 1,253 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 5 November 2026
Posts held1,253 (7 August 2026 – 5 November 2026)
Views total605,219
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 21:06 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
≈15,000
Videos
≈4,550
Links
≈16

Lifetime counters from Telegram’s own channel header, read 5 November 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
3h 23m
Average length
1m 07s

Measured directly from 183 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

5 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5100.0%

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 6 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 5 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 16 August 2026 to 5 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 163 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).

5 Nov 2026, 14:53 UTC≈2,220 viewsread 5 November 2026
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#菲律宾新闻 菲国家调查局(NBI)雷霆出击:4人涉嫌敲诈勒索菲华商人200万比索现金及财物被捕 菲律宾国家调查局(NBI)近日成功破获一起针对菲华商人的恶性敲诈勒索案。执法人员在行动中抓获了4名涉案嫌疑人,他们涉嫌通过暴力威胁及非法搜查,强行勒索一名菲华商人及其家属高达200万比索(约合人民币25万元)的现金、珠宝及各类电子设备。 据NBI透露,这起案件的受害者是一名在当地经商的菲华商人。此前,该犯罪团伙(其中包括多名涉案人员)闯入受害者住所或相关场所进行搜掠,不仅抢走价值约200万比索的现金、首饰、电脑和高档电子产品,甚至扣押了受害者的护照等重要证件,随后以此为筹码进一步勒索巨额赎金。 面对不法分子的嚣张气焰,受害者家属果断选择向执法部门求助,第一时间前往马尼拉向NBI总部报案。 接到报案后,NBI迅速成立专案组,经过周密部署与情报追踪,于近日在拉古纳省圣巴勃罗市(San Pablo City)及马尼拉等地展开了一系…

5 Nov 2026, 14:52 UTC≈2,680 viewsread 5 November 2026
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#群友反馈:今晚吉隆坡过12点大检查,各单位注意了!

5 Nov 2026, 14:41 UTC≈1,960 viewsread 5 November 2026
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中国驻加拿大使馆发布防骗提醒:多位在加中国公民反映,遭遇以恋爱为名骗钱、以私密视频相威胁的恐吓诈骗行为 中国驻加拿大使馆11月4日发文:近期,我馆接到多位在加中国公民反映,遭遇不法分子利用社交媒体、婚恋交友平台,以网络恋爱等方式实施诈骗。驻加拿大使馆提醒在加中国公民: 一、认清常见套路。不法分子可能在诱导“裸聊”或索取私密影像后,以向亲友、学校或单位散布相威胁,索要钱款;谎称入侵设备、掌握私密视频,附上住址、旧密码等信息实施恐吓;以恋爱交友获取信任后,借急病、周转、见面等理由索财,或诱导参与虚假投资。 二、守好隐私和钱袋。不向陌生网友提供私密影像,不轻信视频通话或“阅后即焚”的安全性,不点击不明链接、不安装陌生软件。妥善保护姓名、住址、工作单位、银行账户等个人信息,不因感情承诺、利益诱惑或威胁恐吓转账。 三、遇事及时止损。如遭遇敲诈,不付款、不继续提供影像,保存证据后举报、拉黑相关账号,并向当地警方报案同时向加拿大反诈骗中心报…

5 Nov 2026, 14:41 UTC≈2,580 viewsread 5 November 2026
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判决案例:男子在东南亚园区负责养号引流 被警察抓回去获刑六个月 2025年11月,丁某出境加入境外电信诈骗窝点。在2025年11月至2026年4月期间,他辗转多个窝点担任业务员,负责养号、引流,通过社交软件使用投资话术,诈骗境内及境外人员。案发后,丁某被公安机关从境外带回,检察机关以诈骗罪对其提起公诉。 法院审理认定,丁某以非法占有为目的参与境外诈骗团伙,在共同犯罪中系从犯,具有坦白、自愿认罪认罚情节,依法予以减轻处罚,以诈骗罪判处其有期徒刑六个月,并处罚金。

5 Nov 2026, 14:41 UTC≈3,860 viewsread 5 November 2026
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#菲律宾资讯:移民局警告,部分外国人涉嫌利用免签政策进入菲律宾,从事网络诈骗活动 11月5日,菲律宾当地媒体 DZRH 报道,菲律宾移民局(BI)副发言人梅尔文·马布拉克(Melvin Mabulac)表示,近期警方在多个诈骗窝点的突击行动中,发现部分涉案外国人可能利用菲律宾免签政策,以普通游客身份入境。 马布拉克在接受 DZRH 电台采访时指出,近期被查获的部分外国嫌疑人来自东南亚免签国家,因此无需申请签证便可进入菲律宾。 他表示,目前执法部门尚无法准确确认这些人员在菲律宾停留了多长时间,部分人可能刚刚入境,也有人可能已经在当地停留较长时间。 马布拉克坦言,外国人员获准入境后,如何持续掌握其实际活动情况,仍然是移民部门面临的一项挑战。 针对这一问题,移民局正在推动移民管理系统现代化,包括升级机场电子通关系统(E-gates),并强调需要加强公众、当地社区及执法部门之间的合作,以便及时发现人口贩运及其他涉及外国人的非法活…

5 Nov 2026, 13:25 UTC≈1,700 viewsread 5 November 2026
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#菲律宾资讯:警方启动“斩断诈骗链”专项行动,全面清查马尼拉诈骗窝点 11月5日,菲律宾国家首都区警察办公室(NCRPO)正式启动名为“Operation: Break the Chain(斩断诈骗链)”的专项执法行动,全面打击马尼拉大都会地区涉嫌从事电信诈骗及网络诈骗活动的犯罪窝点。 据报道,此次行动覆盖马尼拉大都会5个警区,警方已要求各警区对涉嫌被用作诈骗窝点的住宅、商业场所及其他经营单位展开全面排查。 此次行动不仅针对诈骗窝点的实际经营者,还将重点追查幕后出资人、人员招募者、房产所有者以及涉嫌协助诈骗集团转移资金的相关人员。 警方还将联合政府有关部门,调查可疑资金交易、企业注册信息及相关商业活动,查明是否有本地人员为跨国诈骗集团提供场地、资金或其他便利。 此次专项行动是在11月3日巴赛市(Pasay City)一处国际包裹诈骗窝点遭警方捣毁后启动的。 菲律宾警方表示,后续将持续扩大调查范围,深入追查诈骗集团背后的…

5 Nov 2026, 13:20 UTC≈2,900 viewsread 5 November 2026
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#柬埔寨新闻 #木牌 木牌3处电诈窝点被查,19人落网 此前文章: 11月4日,柴桢省警方在巴域市突袭3处涉嫌网络诈骗的窝点,查获19名外国人,包括3名中国男子和16名越南人,其中5人为女性。 警方在现场查获100多部手机、电脑、平板及车辆等物品。检查嫌疑人手机内的Telegram记录后,发现涉嫌网络诈骗的线索,并确认3处窝点属于同一团伙。 目前,3处涉案场所已被查封,嫌犯及物证已移交省警署反科技犯罪局依法处理。

5 Nov 2026, 10:54 UTC≈1,950 viewsread 5 November 2026
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#菲律宾新闻 菲律宾旅游部提议延长对中国游客为期一年的免签政策 【马尼拉讯】 菲律宾旅游部(DOT)正推动延长对中国公民的免签入境政策,理由是自今年 1 月推出该政策以来,入境菲律宾的中国游客人数明显增加。 该免签计划于 1 月 16 日正式实施,允许以商务或旅游为目的前往菲律宾的中国公民免签停留最长 14 天。该项安排有效期为一年,将在到期前进行相应评估。 菲律宾旅游部长迪塔·昂加拉-马泰(Dita Angara-Mathay)周四在帕拉尼亚克市举行的第 40 届亚太工商总会(CACCI)大会间隙接受采访时表示:“自实施该政策以来,我们已迎来近 50 万名中国游客。因此我们建议尽早宣布延长政策,因为我们希望在中国的节假日期间吸引更多游客流。” 马泰部长透露,旅游部已与外交部(DFA)进行沟通,并根据数据起草了一份立场文件,以证明“免签安排与游客入境人数之间存在直接的正相关关系”。 在 10 月举行的一场简报会上,总…

5 Nov 2026, 10:42 UTC≈1,750 viewsread 5 November 2026
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昨晚西港枪击案发生后, 苏诺塔坐镇现场指挥, 连夜破案,3名凶徒悉数被抓。 警察一如惯常,微笑着和凶徒们合影, 脸上洋溢着破案的喜悦~~ 遭枪击的中国女子, 状态似乎不错, 在急救室里面还可以玩手机 经此一役,如大难不死 也算在西港立了棍儿 毕竟,在西港遭枪打而不死 还是一位女子 怎么着 也得分得点江湖地位~~

5 Nov 2026, 10:42 UTC≈2,740 viewsread 5 November 2026
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中国驻文莱使馆紧急提醒:近期电信诈骗频发,有中国公民因网络私下交易遭受重大损失 11月4日发布,近日,中国驻文莱大使馆发布安全提醒称,近期在文莱中国公民遭遇电信网络诈骗的案件频发,部分人员因轻信陌生人,通过网络进行私下交易,最终蒙受重大经济损失。 针对近期发生的诈骗案件,使馆提醒在文中国公民提高警惕,谨防各类电信网络诈骗。 使馆指出,不法分子诈骗手段不断翻新,尤其需要警惕冒充中国驻外使领馆、国内政府部门及执法人员的诈骗行为。诈骗分子通常以当事人涉嫌案件、护照或证件存在问题等理由,通过电话、微信等方式索要个人信息、银行账户、短信验证码,甚至要求缴纳所谓的保证金。 此外,日常购物及换汇应通过正规机构或合法平台办理,切勿轻信陌生人的私下交易,不点击来历不明的邮件及网页链接。涉及大额转账汇款时,务必通过多个可靠渠道核实信息。 使馆特别提醒,如不幸遭遇诈骗,应立即向文莱当地警方报案。 如果被骗资金通过中国境内银行账户或支付软件转…

5 Nov 2026, 09:47 UTC≈3,240 viewsread 5 November 2026
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#越南新闻 揭开一群外国人在隐蔽别墅内从事非法活动的秘密 #抓捕现场 前文 岘港市警方发现,有一群外籍人士藏身于奠盘东坊(Dien Ban Dong Ward)的一栋隐蔽别墅内,通过网络实施诈骗。他们采用多种手段诱骗受害者存入资金,并承诺受害者可借此获得佣金。

5 Nov 2026, 09:47 UTC≈2,370 viewsread 5 November 2026
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#泰国新闻 泰老联合执法:打击顿蓬县跨国电诈窝点 32人被立案批捕 网络安全警察分局(ACSC)展开名为“苏克里普折颈”的专项行动,抓获 17 名跨国电信诈骗犯罪团伙嫌疑人。此前,老挝警方在老挝波乔省顿蓬县(Ton Pheung)展开搜查抓捕行动后,向泰方通报并开展了跨国警务合作。 根据调查查获的数据显示,该诈骗团伙分工明确,备有诈骗剧本、伪造的政府公文,并假冒移动电信运营商客服人员;之后将受害人转接给假冒的普吉府市警局警察,以此恐吓受害人进行转账。 专案组侦查人员目前已收集充分证据,依法对共计 32 名涉案嫌疑人批准逮捕令,现已成功抓获 17 人,目前正在进一步深挖扩线,追查其他关联犯罪网络。

Showing the 12 most recent of 1,253 posts we hold for @riben001. 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 1 registered channel — 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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“日本AV焦点新闻” (@riben001), 9,887 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/riben001.

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.