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Channel

菲律宾头条事件

@toutiaoph

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

26,418subscribers

+3,137 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-1001324684881
TypeChannel
Username@toutiaoph
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/toutiaoph

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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.

Growth

22,42928,14225,285.526,4187 August 20268 November 2026
63 measurements spanning 93 days, net +3,137. 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 21,572–28,999 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 09:3826,418-200
7 Nov 2026, 03:5026,618-165
6 Nov 2026, 06:3526,783-139
5 Nov 2026, 08:0026,922-75
4 Nov 2026, 09:1626,997-140
3 Nov 2026, 11:3027,137-95
2 Nov 2026, 14:4627,232-17
1 Nov 2026, 16:0727,249-163
31 Oct 2026, 13:1727,412+377
30 Oct 2026, 13:1427,035-240
29 Oct 2026, 13:3027,275-170
28 Oct 2026, 15:3727,445-252
27 Oct 2026, 12:0127,697-152
26 Oct 2026, 13:5527,849-293
25 Oct 2026, 15:4028,142+460
24 Oct 2026, 13:1827,682-272
23 Oct 2026, 11:3727,954+186
22 Oct 2026, 09:3627,768+202
21 Oct 2026, 04:1827,566-305
20 Oct 2026, 03:4827,871first reading

Engagement

1,769 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 122 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.91%
avg views ÷ 26,418 subscribers
Avg views / post
1,560
530 posts measured
Reaction rate
0.07%
reactions ÷ views · ER floor
Posts in window
530
of 1,769 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 40 of 530 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 8 November 2026
Posts held1,769 (7 August 2026 – 8 November 2026)
Views total827,398
Reactions total47
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 04:27 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
1h 07m
Average length
14s

Measured directly from 295 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

80 reactions across 62 posts, in 6 distinct kinds. The most used accounts for 56.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4556.3%
👍2936.3%
👏33.75%
🎉11.25%
🤔11.25%
🤩11.25%

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 69 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 80 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 1 September 2026 to 8 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: 5 of 530 posts held from the last 30 days (0.943%) 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).

8 Nov 2026, 03:59 UTC248 viewsread 8 November 2026
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8 Nov 2026, 03:00 UTC≈1,080 viewsread 8 November 2026
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7 Nov 2026, 16:02 UTC≈1,620 views2 reactionsread 8 November 2026
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泰国假警察诈骗案抓获2名中国男子!黄金变现后送到公寓,其中1人还涉中国电诈通缉案 11月7日下午2时,泰国曼谷警方联合移民局展开抓捕行动,抓获2名中国籍男子。其中,47岁的Mai涉嫌参与冒充警察实施电信诈骗,并负责接收诈骗所得资金;另一名40岁的Shi涉嫌非法入境,警方通报称其还涉及中国方面的电诈通缉案件。 据曼谷警方披露,这起案件发生于10月23日。当天,一名老年女性接到诈骗电话,对方冒充警察,谎称她涉嫌违法犯罪,要求将贵重财物交给有关人员进行检查。 受害者信以为真,按照诈骗团伙指示,携带重达5泰铢重量单位的黄金饰品,前往曼谷陶普恩(Tao Poon)地区一家商场,将黄金交给另一名老年女性。 调查发现,负责接收黄金的老年女性同样遭到诈骗团伙欺骗,被利用充当中间接货人员,并不知道自己正在帮助犯罪团伙转移赃物。 随后,一名18岁的泰国男子Anont前来取走黄金,将其出售换成现金,再按照中国籍幕后指挥人员的指示,把装有现金…

❤2

7 Nov 2026, 15:45 UTC≈1,670 viewsread 8 November 2026
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美国破获1.29亿美元AI诈骗案!嫌犯冒充企业CEO和律师,专骗公司财务人员 11月7日,美国媒体披露一起涉及人工智能技术的特大跨国诈骗案。3名外国籍男子涉嫌利用AI伪造企业CEO的声音和视频,再冒充国际知名律师事务所的律师,诱骗企业财务人员向指定账户转账,累计骗取超过1.29亿美元。目前,3名主要嫌疑人已分别在西班牙和英国被捕,并遭美国联邦检察官正式起诉。 根据美国司法部纽约南区检察官办公室11月5日公布的起诉书,该诈骗团伙从2024年7月至2026年2月持续作案,目标包括美国及其他国家的银行、医院、金融科技公司和大型企业。 调查显示,团伙主要针对掌握大额资金转账权限的企业财务人员下手。 诈骗人员首先冒充公司CEO,通过电子邮件或电话联系财务部门,声称企业正在进行一笔高度保密的重大交易,需要财务人员配合完成资金划转。 为了让骗局更加逼真,嫌疑人利用AI语音克隆和深度伪造技术,模仿公司老板的声音,部分情况下还会伪造其视…

7 Nov 2026, 15:31 UTC≈1,630 viewsread 8 November 2026
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中国游客赴泰人数下降13.57%! #泰国拟与中国联手打击电诈 严查诱骗中国人偷渡缅甸的团伙 11月7日,泰国旅游与体育部公布的数据显示,2026年10月赴泰中国游客仅308942人,同比下降13.57%,成为今年2月以来首次同比下滑。面对中国游客对赴泰安全问题的担忧,泰国政府计划与中国成立联合工作组,重点打击将中国公民诱骗至缅甸妙瓦底电诈园区的跨国犯罪网络。 据泰国旅游与体育部长苏拉萨介绍,他于11月5日晚与中国驻泰国大使张建卫举行会谈,双方就中国游客安全、跨境电诈及非法人口转运问题进行了讨论。 双方计划于下周成立联合工作组,由泰国旅游与体育部和中国驻泰国大使馆共同推动,通过交换情报、协调执法及游客救助等方式,加强对跨国诈骗集团的打击。 此次合作的一个重要背景,是中国驻泰国大使馆此前发布赴泰安全提醒,警告中国公民警惕虚假高薪招聘,防止被犯罪团伙诱骗至缅甸从事电信网络诈骗活动。 苏拉萨表示,中国方面明确表态,不会袒护…

7 Nov 2026, 15:30 UTC≈1,740 viewsread 8 November 2026
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7 Nov 2026, 14:45 UTC≈1,340 viewsread 8 November 2026
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7 Nov 2026, 14:08 UTC≈1,110 viewsread 8 November 2026
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3名女子从中国偷渡越南,司机通过Zalo接单接应!刚上车就被边防人员抓获 11月6日凌晨,越南谅山省边防部队在中越边境查获一起非法入境接应案件。3名女子刚从中国方向经边境小道偷渡进入越南,一名越南男子便开车前来接应,准备将她们送往长途汽车站,结果车辆在边境附近被执法人员拦截,司机当场被抓获。 据越南边防部队通报,当天凌晨0时05分,谅山省边防部队业务部门联合新清口岸边防哨所,在黄文树乡新清村1088/2号界碑附近开展检查时,发现一辆载有3名女子的本田轿车。 执法人员随即拦截车辆,发现车内3名女子均未持有合法出入境证件,涉嫌从中国方向非法进入越南。 经调查,司机为1988年出生的越南男子Lê Huy Thông,居住在谅山省同登乡。 该男子交代,他此前通过Zalo聊天软件接到一笔接人任务。对方是一名使用“Vì Em”账号的男子,要求他开车前往中越边境新清地区,接上3名女子,再将她们送往谅山省北部客运站。 3名女子在接受…

7 Nov 2026, 14:00 UTC≈1,550 viewsread 8 November 2026
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7 Nov 2026, 13:50 UTC≈1,730 viewsread 8 November 2026
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菲律宾115名涉赌诈中国籍人员已全部遣返回国!中方感谢菲方协助,累计遣返超2600人 11月7日,中国驻菲律宾大使馆对菲律宾协助遣返115名涉赌诈中国籍人员表示感谢,称此次行动是中菲联合打击跨国犯罪取得的又一重要成果。同时,中方披露,自2023年以来,两国执法部门已合作遣返超过2600名犯罪嫌疑人。 此前,菲律宾移民局于11月6日启动集中遣返行动,当时公布的人数为100余人。根据最新确认的数据,本次实际遣返人数为115人,均为此前在菲律宾打击非法离岸博彩及网络诈骗行动中被抓获的中国籍人员。 这115人已于11月6日乘坐中国南方航空CZ5308包机,从马尼拉尼诺伊·阿基诺国际机场3号航站楼离境,返回中国。遣返行动由中菲两国执法部门合作完成。 菲律宾移民局披露,此次遣返人员来自10月查处的两批涉赌诈案件,其中62人于10月2日在三宝颜锡布盖省被抓获,另外53人于10月12日在马尼拉大都会奎松市古堡区(Cubao)落网。 两…

7 Nov 2026, 13:49 UTC≈1,880 viewsread 8 November 2026
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柬埔寨公布打击电诈成果!16个月查处972处电诈窝点!5032人被起诉羁押、近2.4万名外国人遭遣返 11月7日,柬埔寨政府公布全国打击电信网络诈骗行动的最新成果。过去16个月,执法部门累计查处972处涉嫌电诈活动的地点,5032名嫌疑人被起诉并羁押候审,另有来自38个国家的23760名外国人被遣返回国。同时,当局冻结超过3亿美元涉案银行资金,并吊销18家涉诈赌场的营业执照。 柬埔寨国务部长、国家打击网络诈骗委员会常务副主席蔡西那烈(Chhay Sinarith)于11月6日在金边举行的外交简报会上公布上述数据,统计时间为2025年7月1日至2026年10月31日。 根据官方报告,在全国持续开展的打击行动中,柬埔寨警方和有关执法部门对972处涉嫌从事网络诈骗活动的地点采取行动,并完成568起案件的司法移送手续。 其中,5032名嫌疑人已经受到正式刑事指控,目前处于审前羁押状态,等待后续司法程序。 与此同时,柬埔寨政府累…

7 Nov 2026, 13:10 UTC≈1,390 viewsread 8 November 2026
Video

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Showing the 12 most recent of 1,769 posts we hold for @toutiaoph. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

越南新闻大事件
@VN704 · 58,962
Telegram ranks this channel #20 of 65 here — alongside 64 others — read 27 August 2026
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 68,391
Telegram ranks this channel #21 of 82 here — alongside 81 others — read 16 August 2026
菲龙网海外华人新闻资讯
@flwph99 · 99,105
Telegram ranks this channel #21 of 72 here — alongside 71 others — read 15 August 2026
菲律宾新闻大事件
@flb608 · 72,467
Telegram ranks this channel #25 of 80 here — alongside 79 others — read 14 August 2026
今日头条 曝光频道
@jrttbg · 108,056
Telegram ranks this channel #31 of 68 here — alongside 67 others — read 12 August 2026
西港大事件(曝光)
@xigang9918 · 75,947
Telegram ranks this channel #35 of 41 here — alongside 40 others — read 24 August 2026
全网华人曝光吧
@QWHRBGB · 145,172
Telegram ranks this channel #35 of 66 here — alongside 65 others — read 11 August 2026
东南亚安危头条事件🅥
@AnWei08 · 61,655
Telegram ranks this channel #37 of 55 here — alongside 54 others — read 24 August 2026
博度东南亚大事件 @bdtime
@bodutt · 66,539
Telegram ranks this channel #38 of 62 here — alongside 61 others — read 21 August 2026
曝光|新闻|大事件
@TGBG8888 · 82,175
Telegram ranks this channel #40 of 82 here — alongside 81 others — read 21 August 2026
柬埔寨头条事件️🅥
@HR8877 · 321,889
Telegram ranks this channel #40 of 76 here — alongside 75 others — read 10 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 82,997
Telegram ranks this channel #42 of 72 here — alongside 71 others — read 21 August 2026
东南亚大事件(吃瓜)
@HH9915 · 136,659
Telegram ranks this channel #44 of 73 here — alongside 72 others — read 14 August 2026
全网曝光
@quanwangbaoguang0 · 171,456
Telegram ranks this channel #47 of 71 here — alongside 70 others — read 15 August 2026
头条事件
@mv111 · 52,460
Telegram ranks this channel #50 of 67 here — alongside 66 others — read 23 August 2026
卡斯兰卡大事件/马来西亚新闻
@YTT783 · 95,964
Telegram ranks this channel #64 of 76 here — alongside 75 others — read 18 August 2026
博彩黑平台曝光🔍
@uuuuuf · 176,822
Telegram ranks this channel #76 of 82 here — alongside 81 others — read 17 August 2026
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 46,494
Telegram ranks this channel #81 of 83 here — alongside 82 others — read 19 August 2026

This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“菲律宾头条事件” (@toutiaoph), 26,418 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/toutiaoph.

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.