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Channel

头条事件

@fffm2

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

91,824subscribers

+4,757 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-1001359148226
TypeChannel
Username@fffm2
Description热点新闻求助爆料!🤝 吃瓜搞笑生活故事!🤝 推送可能不合时宜!🤝 您可以选择性观看!🤝 免费投稿猛料有奖!👉 投稿小编👉 @hhhheo 聚划算能量TRX会员自动兑换机器人: @jhstrxbot
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/fffm2

Topic

Gambling & betting — 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 63% 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 4 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
@fffm2/25313 · this entry6 Sept 2026, 10:43 UTC@YIYI_158/276196 Sept 2026, 10:43 UTC1.00under a minute
@fffm2/26182 · this entry17 Sept 2026, 13:16 UTC@YIYI_158/2818017 Sept 2026, 14:56 UTC1.001.7 hours
@fffm2/26852 · this entry26 Sept 2026, 11:35 UTC@YIYI_158/2865626 Sept 2026, 11:36 UTC1.00under a minute
@YIYI_158/2874528 Sept 2026, 10:00 UTC@fffm2/26995 · this entry28 Sept 2026, 13:56 UTC1.003.9 hours
@YIYI_158/292276 Oct 2026, 13:31 UTC@fffm2/27491 · this entry6 Oct 2026, 17:07 UTC1.003.6 hours
@YIYI_158/3055930 Oct 2026, 12:00 UTC@fffm2/29023 · this entry30 Oct 2026, 13:58 UTC1.002.0 hours
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
@YIYI_158179 (8/8 hand-verifiable sample passed)0.991.6 hours@YIYI_158 (110–69)
@v8185175 (8/8 hand-verifiable sample passed)1.0049 minutes@v8185 (117–58)
@Menjie_1103 (8/8 hand-verifiable sample passed)0.993 minutesthis entry (77–26)
@FFxx_0426 (8/8 hand-verifiable sample passed)0.942 daysthis entry (15–11)

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. 264 of the 264 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 1,995 comparable posts for this entry, running 6 August 2026 to 10 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 11 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

54,52493,48774,005.591,8246 August 202610 November 2026
64 measurements spanning 95 days, net +4,757. 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 48,680–99,331 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 04:2091,824-620
8 Nov 2026, 19:1092,444-347
7 Nov 2026, 13:5192,791-70
6 Nov 2026, 11:1692,861-31
5 Nov 2026, 08:0892,892-24
4 Nov 2026, 06:4092,916-27
3 Nov 2026, 05:2992,943-27
2 Nov 2026, 07:5092,970-48
1 Nov 2026, 08:2793,018-65
31 Oct 2026, 09:4093,083-61
30 Oct 2026, 09:4493,144-64
29 Oct 2026, 13:1593,208-34
28 Oct 2026, 14:5893,242-41
27 Oct 2026, 17:0993,283-31
26 Oct 2026, 18:0693,314-42
25 Oct 2026, 21:3693,356-41
24 Oct 2026, 19:3193,397-57
23 Oct 2026, 22:2793,454-33
22 Oct 2026, 22:5693,487+2,007
21 Oct 2026, 18:1291,480first reading

Engagement

2,013 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.40%
avg views ÷ 91,824 subscribers
Avg views / post
2,200
634 posts measured
Reaction rate
0.049%
reactions ÷ views · ER floor
Posts in window
634
of 2,013 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 4 of 634 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 11 November 2026
Posts held2,013 (6 August 2026 – 11 November 2026)
Views total1,397,457
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 08:32 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
≈20,800
Videos
≈3,980
Links
≈16,000

Lifetime counters from Telegram’s own channel header, read 11 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
1h 28m
Average length
19s

Measured directly from 278 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

30 reactions across 30 posts, in 8 distinct kinds. The most used accounts for 23.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩723.3%
👍620.0%
🔥516.7%
🎉310.0%
👏310.0%
😁310.0%
🥰26.67%
❤13.33%

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 30 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 30 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 20 September 2026 to 11 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 634 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).

11 Nov 2026, 07:40 UTC272 viewsread 11 November 2026
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柬埔寨驻日本大使馆强烈反对日媒涉沈良西失实报道 柬埔寨驻日本大使馆昨天在东京发表声明,对日本时事通讯社周一刊登的前反对派领导人沈良西专访文章表示强烈反对,指责该报道歪曲柬埔寨政治局势,在未充分反映相关法律与宪法背景的情况下对柬政府作出不实指控。 声明重申,柬埔寨是依宪治理的主权国家,2017年解散前救国党系最高法院依法作出的裁决;沈良西本人已被柬法院定罪判刑,其海外政治机构无权代表柬埔寨。柬使馆呼吁该社秉持客观平衡原则,顾及柬日友好大局,在报道中准确反映柬方官方及法律立场。 沈良西说了什么? 在接受日媒专访时,沈良西说:家族式权力交接破坏了柬埔寨的民主制度,并呼吁日本为恢复柬埔寨的民主治理提供外交支持。 #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀:【7T.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…

11 Nov 2026, 07:40 UTC658 viewsread 11 November 2026
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联合国特别报告员呼吁柬埔寨释放良心犯 11月9日,联合国柬埔寨人权状况特别报告员汤姆·安德鲁斯发表声明,敦促柬政府在本周末金边主办法语国家组织峰会前,释放因言论自由被押的百余名良心犯(含森蒂丽、科萨莱及5名“自然母亲”组织成员),并呼吁与会各国向柬方重申民主与人权原则。 对此,柬埔寨人权委员会高官回应称,报告员有权表达个人意见,但柬埔寨作为主权国家,始终依据事实与法律独立执法,不会受任何个人影响。 #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀:【7T.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,客服: @TRXoooo1 官方大群:@TRXooooo1 自动兑换机器人:@jhstrxbot 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰新人首存送 + 笔笔赠送+最高送18888 🎰 🤝🎰🎰🎰🎰🎰🤝💯🎰🎰🎰🎰…

11 Nov 2026, 07:17 UTC965 viewsread 11 November 2026
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突破196亿美元!柬中贸易额大涨23.3% 吴哥时报报道,据柬埔寨海关总署11月10日公布的最新数据显示,2026年前10个月,柬中双边贸易额达到196.5亿美元,同比增长23.3%,中国继续稳居柬埔寨第一大贸易伙伴。 数据显示,今年1月至10月,柬埔寨对中国出口16.85亿美元,同比增长26.5%;从中国进口179.64亿美元,同比增长23%。尽管双边贸易额持续增长,但柬埔寨对华贸易逆差依然较为明显。 美国位居柬埔寨第二大贸易伙伴,双边贸易额达到138.22亿美元,同比增长29.1%。其中,柬埔寨对美国出口132.73亿美元,同比增长27.8%;从美国进口5.49亿美元,同比增长68%。 越南排名第三,双边贸易额约71.69亿美元,同比增长8.8%。其中,柬埔寨对越南出口34.07亿美元,同比增长8.4%;从越南进口37.61亿美元,同比增长9.2%。 从整体贸易情况来看,2026年前10个月,柬埔寨进出口贸易总额达…

11 Nov 2026, 07:17 UTC≈1,150 viewsread 11 November 2026
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#当事人回复 我们在一起事后他的前任就不断纠缠,有一次 她开了两套房间说漏嘴,让我上夜班白天去照顾她,晚上她前任上白班去照顾,我们在同一家酒店跟她前任碰撞过一次,直到最后他说她要两个都玩了甩掉,我心想没事了相遇就是绿城吧 后面我也回到公司上班 心不对她明明生病我去照顾她正常的就当做最后一程离别吧,她租了 出租房我 联系她把病养好,她同意了我就这样才照顾了几天,后面她前任又出现了要爱不爱的来骚扰,在出租房里面虐待她把他的裤子弄得脏希希 我看到的那一幕简直不敢直观 地下丢的全部都是纸巾她的头发被剪了衣服被撕烂裤子全部都是香蕉味道,她的前任还拿她的手机拍照给我背后画满了污的图。 我很愧疚那段时间明明答应她说要把她照顾好切还是因为自己能力不够无法做到帮组她,后面就一直拒接我去照顾她骗我说是她的朋友要来让我别去,她的病还没哟回转我让他换了房间住,她要回去的最后一天我亲自去送她,她头发很短一直不好意思见我。 回家了之后我不断地问候…

11 Nov 2026, 05:11 UTC≈1,540 viewsread 11 November 2026
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西港本地人“饿出幻觉”?见中国游客就喊回暖 网友投稿太逗了!最近在西港街头,几个拖着行李箱的中国人刚出现,当地朋友立马激动开麦:“看!中国人又回来找工作啦,经济要回暖咯!” 这反应速度,简直比天气预报还准。不过细想一下,人家本地小伙伴估计是真“饿”坏了,看到同胞就自动脑补成“救星”,连工作机会都跟着“幻觉”出来了。看来大家盼着生意红火的心情,已经急到产生错觉了呀! #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀:【7T.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,客服: @TRXoooo1 官方大群:@TRXooooo1 自动兑换机器人:@jhstrxbot 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰新人首存送 + 笔笔赠送+最高送18888 🎰 🤝🎰🎰🎰🎰🎰🤝💯🎰🎰🎰🎰第一礼:注册下载APP一送✅🤝 …

11 Nov 2026, 05:11 UTC≈1,690 viewsread 11 November 2026
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柬埔寨遣返39名泰国人,接收53名返乡公民 吴哥时报报道,据柬埔寨移民总局消息,11月10日,柬埔寨移民总局联合相关部门,依法遣返39名泰国公民,其中包括16名女性。 据介绍,这39名泰国公民涉及非法居留、非法务工以及非法进入军事区域等违法行为。在服刑期满后,柬埔寨有关部门依法将其遣返回国。 与此同时,柬埔寨方面当天还从泰国当局接收了53名非法越境的柬埔寨公民,其中包括8名女性和5名儿童。 接收后,这批柬埔寨公民被移交至波贝中转中心,将按照相关程序接受进一步处理。 #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀:【7T.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,客服: @TRXoooo1 官方大群:@TRXooooo1 自动兑换机器人:@jhstrxbot 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰新…

11 Nov 2026, 05:00 UTC≈1,800 viewsread 11 November 2026
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11 Nov 2026, 04:27 UTC≈1,120 viewsread 11 November 2026
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柬埔寨否认HIV感染病例激增:未出现疫情暴发 吴哥时报报道,11月11日,柬埔寨国家艾滋病管理局(NAA)发布声明,否认社交媒体有关柬埔寨艾滋病病毒(HIV)感染病例激增的传言,强调目前国内并未出现HIV疫情大规模暴发的情况。 声明指出,根据柬埔寨卫生部门管理的艾滋病疫情监测与评估系统,目前没有证据显示国内出现HIV感染病例大规模暴发,社交媒体流传的相关消息并不属实。 柬埔寨国家艾滋病管理局表示,近年来,该国在艾滋病防治方面取得显著成效,也是亚太地区首个实现联合国艾滋病规划署(UNAIDS)“95-95-95”防治目标的国家。 根据官方公布的数据,目前柬埔寨95%的HIV感染者已经知晓自身感染状况,100%的已确诊感染者正在接受抗逆转录病毒治疗,其中98%的接受治疗者已实现病毒抑制。 官方呼吁公众理性看待网络信息,不要轻信和传播未经证实的消息。 #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 …

11 Nov 2026, 04:27 UTC≈1,690 viewsread 11 November 2026
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金边又要封路!连续6天,多条道路受影响 吴哥时报报道,为保障第20届法语国家组织峰会顺利举行,金边市政府宣布,将于11月12日至17日对部分道路及水路实施临时交通管制。 根据安排,11月12日至17日,洪森大道(60米路)从“洪森大道立交桥”至“洪玛耐亲王立交桥”路段,将禁止重型车辆通行,普通车辆仍可正常行驶。 水路方面,洞里萨河及湄公河上游部分水域将暂停运沙船和旅游船通行,速卡渡轮也将暂停运营。11月15日,阿雷沙地区至金边方向的渡轮将临时停航。 具体封路安排如下: 11月13日下午2时起,苏拉莫烈大道(独立纪念碑环岛至喷水龙红绿灯)、苏他罗大道(喷水龙红绿灯至240号路),以及240号路(四臂湾会议厅红绿灯至大象红绿灯)将临时封闭,直至相关活动结束。 11月15日至16日,OCIC大道从仙女环岛至美人鱼环岛路段,以及金边跨洞里萨河大桥将实施临时交通管制。 此外,峰会期间,国际代表团途经的部分道路可能临时封闭,具…

11 Nov 2026, 04:27 UTC≈1,150 viewsread 11 November 2026
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洪森问:去KTV为何不叫我?前新闻部长回应亮了 吴哥时报报道,11月11日上午,柬埔寨前新闻部长乔干那烈在个人脸书发文,公开分享一段与参议院主席洪森亲王有关的KTV趣事,揭开此前两人在脸书上互相调侃的幕后故事。 乔干那烈透露,洪森亲王曾开玩笑问他:“你们说去KTV能长寿,怎么不叫上我一起去?” 对此,乔干那烈幽默回应:“我们去KTV是为了长寿,但如果亲王也一起去,恐怕我们所有人都要短命了!” 乔干那烈还在帖文中表示,既然“老大”已经让他向大家解释事情经过,如今他终于把这段趣事公开。 事实上,这并非两人第一次因KTV话题引发关注。 今年10月20日,乔干那烈曾在脸书分享与亲友聚餐的照片,没想到洪森亲王突然现身评论区,调侃他此前曾去过KTV,还称手中握有照片,询问是否想看。 面对洪森亲王的“爆料”,乔干那烈当时赶紧求情,希望亲王帮忙保密,好让自己能够长命百岁,继续为亲王服务。 如今,乔干那烈终于公开解释当时的KTV趣…

11 Nov 2026, 04:20 UTC≈1,950 viewsread 11 November 2026
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10 Nov 2026, 17:47 UTC≈1,050 viewsread 11 November 2026
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#泰国男子偷39件女性内衣被捕 泰国春武里府一名33岁摩托车修理店老板因偷窃女性内衣被警方逮捕,缴获内衣39件。 失主将监控录像发布上网后锁定嫌犯。警方到店抓捕时,该男子试图藏匿赃物未果。 他供称长期失眠,看到女性内衣便产生玩弄欲望,夜间把玩后才入睡。尿检还显示其可能吸毒。 警方已以偷窃和吸毒两项罪名立案处理。 #本频道广告赞助商 😀😀😀😀😀 😀😀😀😀😀😀😀😀😀【9G.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀:【7T.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,客服: @TRXoooo1 官方大群:@TRXooooo1 自动兑换机器人:@jhstrxbot 🎰🎰🎰🎰🎰🎰🎰🎰🎰🎰新人首存送 + 笔笔赠送+最高送18888 🎰 🤝🎰🎰🎰🎰🎰🤝💯🎰🎰🎰🎰第一礼:注册下载APP一送✅🤝 超级TG引流自助下单网站全网最便宜包月浏览只要6U

Showing the 12 most recent of 2,013 posts we hold for @fffm2. 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.

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

“头条事件” (@fffm2), 91,824 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/fffm2.

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.