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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

25,493subscribers

-843 since we began measuring on 7 August 2026

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

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 live27 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 27 September 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 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 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

25,49326,33625,914.57 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 subscribers7 August 202627 September 2026
32 measurements spanning 50 days, net -843. 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 25,367–26,462 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
27 Sept 2026, 02:1925,493-113
17 Sept 2026, 12:4125,606-15
15 Sept 2026, 11:1625,621-3
13 Sept 2026, 21:4125,624-17
12 Sept 2026, 06:1625,641-12
9 Sept 2026, 23:1525,653-20
6 Sept 2026, 19:1925,673-9
4 Sept 2026, 08:0025,682-4
2 Sept 2026, 21:5625,686-20
1 Sept 2026, 17:4625,706-59
31 Aug 2026, 14:2525,765-59
30 Aug 2026, 11:5525,824-9
29 Aug 2026, 12:4425,833-23
28 Aug 2026, 10:2725,856-19
27 Aug 2026, 07:5425,875-1
26 Aug 2026, 11:2625,876-13
25 Aug 2026, 14:5325,889-63
24 Aug 2026, 14:4525,952-24
22 Aug 2026, 23:3525,976-24
21 Aug 2026, 12:3926,000first reading

Engagement

923 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.81%
avg views ÷ 25,493 subscribers
Avg views / post
2,500
223 posts measured
Reaction rate
25.0%
reactions ÷ views · ER floor
Posts in window
223
of 923 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 1 of 223 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 1 October 2026
Posts held923 (7 August 2026 – 1 October 2026)
Views total557,427
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 04:41 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
≈14,000
Videos
≈4,300
Links
≈13

Lifetime counters from Telegram’s own channel header, read 1 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
2h 48m
Average length
57s

Measured directly from 179 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

6 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6100.0%

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 7 of the 923 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 923 most recent posts we hold, published 7 August 2026 to 1 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

1 Oct 2026, 04:25 UTC≈6,970 viewsread 1 October 2026
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#网友投稿 这下真回不去了 九月二十号在国内帮我公司到客户那边取现的一个人当场被警察钓鱼抓了。这是我们第二次安排不同的人去这个国内客户那边取现,这个客户应该是发现了自己被杀猪盘骗了再报警,联合警察设计假装配合在拿现金给取现手的时候抓的人。 目前在国内为诈骗公司做取现手的被抓本来不是什么大事到处都有,但这个客户全程是我在国外远程遥控安排人对接取现的。当时取现手被抓的时候我根本不知道,途中我还一直在和取现手保持联系,和我联系的这个取现手的手机在我不知的情况下已经变成了警察在用,事情揭发后我才知道后面和我联系的取现手一直都是警察假扮的。 警察就是想把我和我的公司信息钓出来再一网打尽,我当时还以为取现手安全拿到了钱,在我安排接下来让取现手把钱再怎么交接的时候出了个插曲。取现手说要和我打个语音电话确认下不然不放心把钱再做交接,我怎么说都没用取现手就是要打语音,我当时也是急了没想太多就打过去问什么情况。没想到对方开门见山回答我说是警察,…

1 Oct 2026, 04:25 UTC≈2,670 viewsread 1 October 2026
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#群友投稿:我们生下来就是来吃苦的吗? 来到东南亚以后,越来越多人开始问自己:我吃不了学习的苦,也吃不了生活的苦,可我为什么一定要吃苦?从小到大,父母总告诉我们:“年轻人就应该吃苦。”“吃得苦中苦,方为人上人。”可后来才发现,吃苦和成功之间,好像从来没有画上等号。 工地上的老哥不辛苦吗?一天十几个小时干活,一干就是几十年,省吃俭用、起早贪黑,最后真的就过上了自己想要的生活吗?跑外卖的呢?一天十几个小时在路上,风吹日晒,忙到凌晨,换来的也不过是一笔勉强够生活的钱。 再看看东南亚这些每天坐在电脑前的狗推,白天黑夜颠倒,业绩压在头上,主管盯着、客户骂着、工资还不知道什么时候能拿到。每天工作十几个小时,到最后才发现,自己拼命活着,好像只是为了继续活下去。 所以,父辈口中的“吃苦”,到底有什么意义?如果吃苦只是为了让自己不断忍耐,那我们为什么不能换一种活法? 人生不是一定要证明自己有多能吃苦。 梅花也许经历寒冬才会开放,但人不是…

1 Oct 2026, 04:17 UTC≈3,940 viewsread 1 October 2026
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#舔狗日记 从柬埔寨到越南,我在这里遇到想结婚的女人 因为柬埔寨这两年一直在严打网络诈骗和相关违法活动,我们公司最后决定搬离柬埔寨,把业务转到了越南。 我是做博彩行业的,原本只是把这次搬迁当成一次工作上的调整,没想到来到越南以后,我的人生却发生了最大的变化。 刚到越南的时候,我什么都不熟悉。语言不通,生活习惯也不一样,每天除了工作就是回住处,日子过得很简单。 后来有一次,我去公司附近的一家咖啡店喝咖啡,认识了在那里工作的一个越南女孩。 她没有什么特别的背景,就是一个普通的咖啡店员工。 第一次认识她的时候,她只是很自然地跟我聊天,笑起来很好看,也没有因为我是外国人就刻意讨好我。 后来我经常去那家咖啡店。 从一开始的“喝杯咖啡”,慢慢变成了“想见她”。 我们开始聊天、吃饭、一起出去走走。她会关心我工作累不累,也会在我心情不好的时候陪我聊天。 让我真正感动的是,她从来没有因为我是外国人就不停向我要钱,也没有把我当成…

30 Sept 2026, 15:37 UTC≈6,040 viewsread 1 October 2026
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#网友提醒 我在马来西亚这么多年,自己也碰到过不少专门针对中国人的骗局。准备来马来西亚的话,这几种常见套路一定要留个心眼。 第一,刚落地机场时,不要轻易相信主动上来搭话的人,尤其是突然很着急地跟你说钱包丢了、让你帮忙转账之类的。有些人会装成游客,专门找刚落地的中国人下手。 第二,逛商场时,如果遇到戴着名表、看起来很像成功人士的人,说自己在云顶输了几十万、上百万,没钱回家,想找你借钱,还递名片说自己是什么总经理、CEO,承诺第二天让公司双倍还给你,这种话不要轻信。我自己就碰到过很多次,这种看起来很假的话术,确实还是会有人上当。 第三,要小心主动搭讪的陌生人。有人可能会提醒你“鞋带开了”之类的,故意转移你的注意力,等你反应过来,东西可能已经不见了。还有一种套路,会让你帮忙拍照,对方看起来像中东人,说自己从迪拜过来,还给你看全家福和身上的美金,再问你人民币长什么样。一旦你相信,把钱包拿出来,转眼人和钱可能都没了。 出去旅游,消…

30 Sept 2026, 15:37 UTC≈4,830 viewsread 1 October 2026
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飞行员打架,迪拜飞以色列航班迫降 据以色列媒体今天报道,今天早些时候,在一架从阿联酋迪拜飞往以色列特拉维夫的客机上,两名飞行员在飞行途中发生激烈肢体冲突,客机随后在沙特阿拉伯境内机场紧急降落。 据一些媒体推测,一名飞行员企图使飞机坠毁,因为飞机一度快速俯冲。 幸亏打赢了, 如果没打赢 一飞机人全报销~~

30 Sept 2026, 14:43 UTC≈5,260 viewsread 1 October 2026
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#网友投稿 西港今天的街景,显得特别冷清,不少大楼都被空置了。

30 Sept 2026, 14:33 UTC≈8,560 viewsread 1 October 2026
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#网友提醒 缅北诈骗套路正在升级。过去常见的是用“海外高薪工作”直接骗人,现在更多是先花几个月甚至一年建立信任,再一步步把人骗到东南亚。 中国大学生在东南亚黑市的报价可达20万至70万元人民币。对诈骗团伙来说,人比一次性赎金更值钱,因为还能被反复利用。 第一种是“旅游诱导”。广东一名19岁大一女生小杨,去年旅游时认识一名叫小雅的女孩。对方一年里不推销、不借钱,只是长期陪她聊天、点赞,慢慢取得信任。后来以泰国泼水节为由,包吃包住、买好机票邀请她出国。女孩抵达后被控制,从曼谷转往泰缅边境,再送进园区。 父母东拼西凑支付20万元赎金后,人仍没有被放。因为对方要的不只是赎金,而是继续榨取她的价值,甚至以转卖相威胁。 第二种是“职场诱骗”。骗子在一线城市CBD租写字楼、注册公司、缴纳社保公积金,招聘应届生。入职后有下午茶、团建,领导表现得很亲切。等员工工作几个月、完全取得信任后,再以“优秀员工福利”“海外团建”等名义组织去东南亚,…

30 Sept 2026, 14:32 UTC≈5,890 viewsread 1 October 2026
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听盘总的话 小狗推,你是否有很多问号?为什么客户会被反诈?为什么被主管打了又骂,上下蹲五百下?别人都在KTV,我却被电棍电得跳霹雳。我说我要做大大的业绩,却被求职者跳票放飞机。 为什么要听狗主管的话?挨电以后你就会懂了这段话。哼,充电以后我开始明白,为什么我的刀比别人快,杀的业绩比别人多。将来大家看的都是我的红通肖像画,公司话术都是用我写的词。 狗主管的幸福,不让你看见;诈骗的话术,在他心里面。有空就多摸摸女同事的手,把手牵着一起梦游。听狗主管的话,别让他被抓。想快快赔付啊,才能解脱啊。恋爱的想法,杀猪盘发芽;公司的饼啊,吃也吃不完。 在你的未来,诈骗是你的王牌。拿王牌谈个恋爱,哎,我不想把你教坏,还是听主管的话吧。先努力搞业绩吧,但他比我更清楚,你会开始想东想西,想着怎么跑出公司。但我建议你最好先搞业绩。

30 Sept 2026, 13:40 UTC≈6,070 viewsread 1 October 2026
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【伊斯兰堡|中国籍男子在巴基斯坦杀害中国同胞,被判死刑】 9月29日,伊斯兰堡地区与刑事法院就2024年G-13/3中国公民枪击案作出一审判决: 中国籍被告Yin Gu Xuan因杀害同胞Zhu Xin Liang,被依巴基斯坦刑法第302-B条判处死刑,并须向死者家属支付100万卢比赔偿; 法院同时就非法闯入住宅判处其7年苦役及10万卢比罚款,但对第354条相关指控判其无罪。 案发于2024年8月,两名中国公民发生纠纷后,被告持枪射击Zhu Xin Liang头部,警方随后将其抓获;本次死刑仍需伊斯兰堡高等法院确认,且被告可依法上诉。

30 Sept 2026, 13:38 UTC≈3,700 viewsread 1 October 2026
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🇨🇳 中方表态愿与缅柬等东南亚国家深化合作 打击跨国电诈网络 中国外交部亚洲司官员王德鑫9月28日在北京会见东盟九国记者时表示,中方愿同缅甸及东南亚各国进一步深化合作,打击跨国电信网络诈骗犯罪,并明确提及柬埔寨、泰国、老挝、菲律宾和马来西亚等国均受此类犯罪波及。 王德鑫指出,中缅领导人此前已就反诈合作进行讨论,中方感谢缅方的全力支持,并期盼各相关国家持续给予协同配合。 此前,柬埔寨刚于9月23日至24日在金边举办打击网络诈骗国际会议,呼吁各国加强情报共享与联合执法,以应对跨国犯罪集团的转移与渗透。 ps:听句劝兄弟们,东南亚会大变天,虽然不会清0,但会非常非常难受,该找下一个地方就找,你要是头铁那就当我没说

30 Sept 2026, 13:25 UTC≈5,170 viewsread 1 October 2026
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莫淑华:打击电诈应抓幕后人物 9月30日,前反对派高层、现任“柬埔寨民主运动”主席莫淑华表示,如果柬埔寨政府真正有意打击网络诈骗,就应扩大调查范围,追查并逮捕各层级有权势、有影响力的幕后人物,不能仅盯住小人物。 此前,柬埔寨反诈委员会秘书处负责人蔡西那烈证实,当局正在调查与李永法和符国安有关联的涉诈场所,并调查相关人员是否参与其中。莫淑华认为,这是政府态度出现变化,但目前仍只是开始。

30 Sept 2026, 13:13 UTC≈5,050 viewsread 1 October 2026
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巴新警方破获涉电诈和人口贩运窝点,有中国公民被拘,中使馆提醒:勿从事电诈违法活动 9月30日,据中国驻巴布亚新几内亚大使馆消息,近日,巴新警方破获一起涉电信诈骗、人口贩运窝点,有中国公民被拘。 中国驻巴布亚新几内亚使馆高度重视保护在巴新中国公民安全及合法权益,推动巴新方严厉打击包括电讯诈骗在内的各类犯罪活动,再次提醒广大中国公民切实增强安全防范意识,谨慎交友,不轻信他人,不随意泄露个人隐私;高度警惕“海外高薪就业”陷阱,勿从事电诈违法活动。 如发现自身或周围人员可能在巴新卷入电诈、非法拘禁等异常情况,请尽快向中、巴新两国警方报警,并及时向中国驻巴新使馆寻求协助。 报警及求助联系方式: 1、巴新紧急求助电话:警察:112 消防:110 急救:111 2、外交部全球领事保护与服务应急热线电话(24小时): +86-10-12308 +86-10-65612308 3、驻巴新使馆领事保护与协助电话:+675-73616048

Showing the 12 most recent of 923 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.

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

“日本AV焦点新闻” (@riben001), 25,493 subscribers as measured 27 September 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.