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Channel

全球华人大事件|重磅新闻|曝光|吃瓜🌏

@vip9pppp

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

42,213subscribers

-30,197 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-1001970303468
TypeChannel
Username@vip9pppp
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/vip9pppp

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 44% 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 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
@xgsj9/4788715 Aug 2026, 16:11 UTC@vip9pppp/13471 · this entry15 Aug 2026, 18:23 UTC1.002.2 hours
@xgsj9/4790516 Aug 2026, 06:13 UTC@vip9pppp/13504 · this entry16 Aug 2026, 13:05 UTC1.006.9 hours
@xgsj9/4819819 Aug 2026, 17:13 UTC@vip9pppp/13782 · this entry20 Aug 2026, 18:27 UTC1.0025 hours
@xgsj9/4845023 Aug 2026, 05:57 UTC@vip9pppp/13982 · this entry23 Aug 2026, 17:28 UTC1.0012 hours
@xgsj9/4858825 Aug 2026, 09:41 UTC@vip9pppp/14127 · this entry26 Aug 2026, 08:10 UTC1.0022 hours
@xgsj9/4865726 Aug 2026, 08:55 UTC@vip9pppp/14181 · this entry26 Aug 2026, 20:26 UTC1.0012 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
@xgsj97 (7/7 hand-verifiable sample passed)1.0015 hours@xgsj9 (7–0)

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. 7 of the 7 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 1,906 comparable posts for this entry, running 6 August 2026 to 11 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 key clone_copy, 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

42,21372,41057,311.56 August 202611 November 2026
64 measurements spanning 96 days, net -30,197. 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 37,683–76,940 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 08:2142,213-8
9 Nov 2026, 14:0042,221-155
8 Nov 2026, 06:2642,376-72
7 Nov 2026, 02:5942,448-55
6 Nov 2026, 02:5842,503-70
5 Nov 2026, 03:5042,573-57
4 Nov 2026, 00:0842,630-179
3 Nov 2026, 02:2942,809-152
2 Nov 2026, 01:2142,961-94
1 Nov 2026, 01:2843,055-92
31 Oct 2026, 03:1543,147-59
30 Oct 2026, 04:0043,206-116
29 Oct 2026, 07:2143,322-73
28 Oct 2026, 08:4143,395-83
27 Oct 2026, 06:3943,478-71
26 Oct 2026, 07:3743,549-57
25 Oct 2026, 09:3843,606-82
24 Oct 2026, 06:1943,688-68
23 Oct 2026, 07:1043,756-72
22 Oct 2026, 08:4943,828first reading

Engagement

2,478 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 192 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.49%
avg views ÷ 42,213 subscribers
Avg views / post
4,010
786 posts measured
Reaction rate
0.332%
reactions ÷ views · ER floor
Posts in window
786
of 2,478 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 736 of 786 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 held2,478 (6 August 2026 – 11 November 2026)
Views total3,150,118
Reactions total10,323
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:11 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 40m
Average length
26s

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

15,183 reactions across 947 posts, in 16 distinct kinds. The most used accounts for 11.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1,71811.3%
😍1,70111.2%
🔥1,69711.2%
👍1,69511.2%
🤩1,69411.2%
💯1,67411.0%
🎉1,67011.0%
❤1,63710.8%
❤‍🔥1,62910.7%
😱150.099%
🤔150.099%
😁130.086%
🤯130.086%
👏50.033%
😢40.026%
🙏30.02%

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 947 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 15,183 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 4 October 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: 51 of 786 posts held from the last 30 days (6.49%) 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, 01:18 UTC≈3,920 views10 reactionsread 11 November 2026
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法国总统马克龙将于11月14日至16日对柬埔寨进行国事访问 应柬埔寨国王诺罗敦·西哈莫尼邀请,法国总统埃马纽埃尔·马克龙携夫人将于2026年11月14日至16日对柬埔寨进行国事访问,并出席第20届法语国家首脑会议。这是继戴高乐(1966年)和密特朗(1993年)之后,法国总统时隔多年再次对柬埔寨进行历史性国事访问。 访问期间,马克龙将会见柬埔寨国王及多位国家高层领导人,并与国王共同主持西哈努克省Mebon寺庙修复项目的闭幕仪式。两国还将签署多项涉及经济、投资、文化和国防领域的合作文件,进一步开启柬法关系新篇章。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

❤‍🔥3😍3🎉2👍1🥰1

11 Nov 2026, 01:10 UTC≈2,100 views10 reactionsread 11 November 2026
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➡神盾出海联盟 广告招商: @LYYYY ➡东南亚大事件-曝光圈 ➡神盾联盟出海交流群

🎉2🤩2❤1❤‍🔥1👍1🔥1🥰1😍1

11 Nov 2026, 00:59 UTC≈7,630 views10 reactionsread 11 November 2026
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#网友投稿:戈公一名女工被灵体附身了,从她说越南语这一点来看,附在她身上的似乎是越南人的灵体。 眼看情况不对,赶紧请来一位大师现场做法,念咒驱邪,试图将灵体赶走。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

👍3🥰3❤‍🔥1🎉1🔥1🤩1

11 Nov 2026, 00:05 UTC≈5,290 views10 reactionsread 11 November 2026
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Photo, posted without a caption

❤2🎉2🔥2🥰2❤‍🔥1😍1

10 Nov 2026, 22:05 UTC4 views10 reactionsread 11 November 2026
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电诈大佬双面人生:柬埔寨建诈骗园,香港开公司洗钱 在柬埔寨“长湾七星海”,光鲜的度假园区背后竟藏着一个庞大的电诈、人口贩卖网络。 幕后主脑 #邓丕兵(湖南籍)已逃离并遭国际通缉。半岛电视台卧底曝光其嚣张行径:安排记者坐专属“警车”参观,吹嘘出资建警局,甚至声称在政府警界安插眼线。其亲信竟是曾陪同会见前首相洪森的警察保镖。 《香港01》深挖发现,邓丕兵通过香港空壳公司控股柬埔寨旗舰企业,商业版图横跨博彩、酒店及地产。更劲爆的是,他与缅甸电诈头目佘智江关系匪浅:两人曾在港合伙开公司,2018年奠基仪式佘智江现身。讽刺的是,面对英国制裁时邓公开撇清称佘“不可靠”,私下却对卧底承认是多年好友。这出“双面戏”简直刷新三观! 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

❤‍🔥2💯2🔥2🤩2🎉1👍1

10 Nov 2026, 21:05 UTC≈5,030 views10 reactionsread 11 November 2026
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#群友反馈:马来西亚槟城,峇六拜皇后湾广场附近。移民局抓了20几个狗推,全部拉车带走了!! 估计一个人起码一万马币才能放走。近期公寓打野风险超级大,各盘口小心 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

🎉3❤‍🔥2👍2🤩2🥰1

10 Nov 2026, 19:05 UTC≈5,040 views10 reactionsread 11 November 2026
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#币圈资讯 币安黑客事件再添变数:黑客又积累了约2300枚比特币 币安遭遇高达63亿美元的巨额黑客攻击后(攻击者从交易所钱包中盗走了18,270.2枚BTC),链上分析公司Elliptic披露,攻击者的比特币持仓正在明显增加。据Elliptic称,黑客已将价值1.75亿美元的被盗山寨币兑换成约2,300枚比特币,进一步扩大了他们的比特币储备。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

💯2🔥2🤩2❤‍🔥1🎉1👍1🥰1

10 Nov 2026, 17:55 UTC5 views10 reactionsread 11 November 2026
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🇻🇳 胡志明警方捣毁虚假证券电诈窝点 13名中国籍人员落网 胡志明市公安局11月9日通报:近日,胡志明警方在开展非法居留外籍人员专项清查期间,发现第七郡新美坊Everich 3居民区有一处可疑外籍聚居点。 警方经前期摸排发现:该窝点实行封闭式管理,房屋所有窗户均被遮挡,团伙成员平时仅安排一人外出采购生活物资。 11月4日傍晚,胡志明市公安局出入境管理处联合新美坊派出所对该居民区A2-12号住宅开展突击检查,成功捣毁该处电诈窝点,当场抓获14名外籍人员,其中包括13名中国籍人员、1名摩洛哥籍人员。 警方现场查获29台台式电脑、5台笔记本电脑、112部手机、网络设备及大量诈骗话术脚本、作案材料。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

❤‍🔥4👍2❤1💯1🔥1🤩1

10 Nov 2026, 17:00 UTC≈4,990 viewsread 11 November 2026
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💎🎰🙌💵 😀💰💸💸 💳💳💳💳💳💳💳💳💳 💳💳💳💳💳💳💳💳💳 🧐专业服务 超高限红 毫秒出款 ❤️视讯 — 索莱尔/DB/CQ9高限红 ❤️电子 — PG/PP/CQ9 一注2000 ❤️彩票 — 独家综艺28/哈希区块彩 🏆OK游戏中心 公群9 入驻300万U 🏆新币担保 公群999 入驻100万U 官方网址 ➔ 9Y.COM 官方飞投 ➔ @GF9Y 官方唯一客服 ➔ @KF9Y 官方唯一频道 ➔ @WWW9YCOM 💎🐋🐋🐋🐋🐋🐋🐋🐋💎

10 Nov 2026, 16:25 UTC≈5,130 views10 reactionsread 11 November 2026
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英伟达老总黄仁勋承认出轨 英雄依然难过美人关 这是千古不变的道理 所谓男人不喜欢美女 要么是没有能力(钞能力、性能力) 要么是个Gay 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

🎉2👍2🥰2❤1❤‍🔥1💯1🔥1

10 Nov 2026, 16:14 UTC7 viewsread 11 November 2026
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塌房!英伟达CEO黄仁勋承认婚外情 董事会启动独立调查 英伟达CEO黄仁勋周日向员工发信,承认曾有婚外情并深表歉意。此前有报道称,与其保持关系的女子涉嫌为中国政府搜集情报。 英伟达董事会已成立独立委员会展开调查,以厘清国家安全及公司机密是否受影响。华尔街分析师指出,此事件对黄仁勋个人声誉造成打击,并可能引发美国国会调查及对其是否留任的审视。不过,短期内黄仁勋预计将继续留任。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

10 Nov 2026, 15:45 UTC≈4,970 views10 reactionsread 11 November 2026
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#群友投稿:西港汇都赌场门口,两帮中国人要干架,被保安劝阻了,看样子火气挺大的。 👌👌👌👌👌👌👌 内涵素材频道 @vdddd 海外素材频道 @dj488 广告投放联系 @dadi958 关注全球大事件频道 @vip9pppp

❤3👍2❤‍🔥1🎉1💯1🔥1🤩1

Showing the 12 most recent of 2,478 posts we hold for @vip9pppp. 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 edited after publishing

@vip9pppp edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
13 August 2026

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

“全球华人大事件|重磅新闻|曝光|吃瓜🌏” (@vip9pppp), 42,213 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/vip9pppp.

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.