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Channel

🥗 视讯快报~密接巨变时代

@shixun160

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,693subscribers

-499 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001148509969
TypeChannel
Username@shixun160
Description本频道转载国内外时事,热点回顾和精彩历史,虽媒体取材来源难免一样,我们不照搬同行频道。 注 : 武汉新冠肺炎(COVID-19)因中共隐瞒导致全中国和全球大爆发,因此这里也称它为中共病毒。 频道原则 : 普世价值 频道推荐 : @nbgzd
CreatedBetween 1 February 2016 and 30 September 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/shixun160

Topic

International news — 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 92% 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. This entry also forms a group of 2 channels linked by matching posts. 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
@shixun16/549116 Aug 2026, 03:33 UTC@shixun160/155937 · this entry6 Aug 2026, 03:33 UTC1.00under a minute
@shixun16/551208 Aug 2026, 06:29 UTC@shixun160/156097 · this entry8 Aug 2026, 06:29 UTC1.00under a minute
@shixun16/633703 Nov 2026, 13:04 UTC@shixun160/162852 · this entry3 Nov 2026, 13:04 UTC1.00under a minute
@shixun16/633853 Nov 2026, 22:56 UTC@shixun160/162867 · this entry3 Nov 2026, 22:56 UTC1.00under a minute
@shixun16/639639 Nov 2026, 13:22 UTC@shixun160/163317 · this entry9 Nov 2026, 13:22 UTC1.00under a minute
@shixun16/6411511 Nov 2026, 13:37 UTC@shixun160/163447 · this entry11 Nov 2026, 13:38 UTC1.00under a minute
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
@shixun1669 (7/8 hand-verifiable sample passed)1.00under a minute@shixun16 (64–5)

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. 64 of the 64 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 445 comparable posts for this entry, running 6 August 2026 to 15 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @shixun160 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 15 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

22,69323,19222,942.56 August 202613 November 2026
65 measurements spanning 99 days, net -499. 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 22,618–23,267 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 14:1722,693-11
10 Nov 2026, 23:4522,704-7
9 Nov 2026, 11:0522,711-3
8 Nov 2026, 05:2122,714+3
7 Nov 2026, 03:1922,711-14
6 Nov 2026, 02:4822,725-16
5 Nov 2026, 02:5622,741-6
4 Nov 2026, 01:1122,747-16
2 Nov 2026, 23:2622,763+1
1 Nov 2026, 23:1922,762+7
1 Nov 2026, 01:0822,755+2
31 Oct 2026, 02:0922,753-10
29 Oct 2026, 22:3622,763-4
28 Oct 2026, 21:1022,767+4
27 Oct 2026, 20:5622,763-2
26 Oct 2026, 21:0822,765-7
25 Oct 2026, 20:5822,772-3
24 Oct 2026, 21:5622,775-9
23 Oct 2026, 21:4122,784+4
22 Oct 2026, 19:5122,780first reading

Engagement

1,710 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 115 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.559%
avg views ÷ 22,693 subscribers
Avg views / post
127
385 posts measured
Reaction rate
1.36%
reactions ÷ views · ER floor
Posts in window
385
of 1,710 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 181 of 385 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 15 November 2026
Posts held1,710 (6 August 2026 – 15 November 2026)
Views total48,831
Reactions total353
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 15:14 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
≈30,400
Videos
≈123,000
Links
≈102,000

Lifetime counters from Telegram’s own channel header, read 15 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
37h 56m
Average length
2m 32s

Measured directly from 898 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

1,090 reactions across 478 posts, in 32 distinct kinds. The most used accounts for 47.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍51947.6%
❤13612.5%
👏756.88%
🙏444.04%
😢433.94%
💩302.75%
🤬302.75%
🥴242.20%
👎181.65%
🔥181.65%
🖕181.65%
🤣181.65%
🤯171.56%
😁151.38%
😱141.28%
🥱121.10%
🤮111.01%
😨80.734%
🤨80.734%
🥰70.642%
12 further kinds252.29%

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 493 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 1,090 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 29 August 2026 to 15 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: 6 of 385 posts held from the last 30 days (1.56%) 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).

15 Nov 2026, 14:39 UTC57 views1 reactionsread 15 November 2026
Photo

🔥11月14日晚,广东省广州市白云区传出军工厂仓库爆炸起火消息。 据网传视频显示,现场火势猛烈、浓烟滚滚,多辆消防车赶赴救援。 截至目前,事故具体地点、爆炸原因及人员伤亡情况尚未得到官方证实。 作为中共军方车辆器材定点生产企业,该厂长期深耕军民两用车辆配件领域。 其核心产品「白云牌」蓄电池,不仅广泛装备全军车辆,还远销东南亚、非洲等海外市场。 🛎 欢迎加入 🥗 视讯快报 || 后备

👍1

15 Nov 2026, 12:24 UTC153 viewsread 15 November 2026
Video

涨知识 这些被误传的民间智慧,看看你知道它们的原文吗? 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:24 UTC137 viewsread 15 November 2026
Video

这就是资本主义的运作方式 ↓ 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:23 UTC126 viewsread 15 November 2026
Video

赵元任确实是不世出的天才,全世界斜杠人生的天花板就是他了哈哈哈🦉 整个历史上像这种全面开挂的人生太凤毛麟角,也许上一个人也就是莱布尼茨而已。 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:23 UTC121 viewsread 15 November 2026
Video

🚨紧急:特朗普总统刚刚签署了一项行政命令,将贩毒集团列为外国恐怖组织。 美国军方现在可以动用致命武力打击这些组织。 这意义重大。 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:23 UTC115 viewsread 15 November 2026
Photo

重磅‼️美国2026《国防授权法案》将公布中共高官及其全部直系亲属(配偶、父母、子女、兄弟姐妹、岳家、孙辈)的全球财富: 房产、海外账户、投资、豪车游艇、隐藏资产链全曝光! 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:22 UTC114 viewsread 15 November 2026
Video

1. 2019年“反送中运动”中,不少香港艺人遭到中共封杀,事业大受影响。比较有名的有何韵诗、黄耀明、黄秋生,杜汶泽等。 这些艺人在大是大非面前,愿意放下个人得失,公开批评共产党,为香港人发声,非常难得! 2. 中国知识分子是怎么变色的? 陈丹青最敢说的一场演讲:没一个改变党,全被党改造了! 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:21 UTC108 viewsread 15 November 2026
Video

为什么反复折腾老百姓?“民弱则国强”。 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:21 UTC108 viewsread 15 November 2026
Photo

1. 原湖北省委书记王忠林11月11日确定被抄家。他在北京、武汉、济南、枣庄的住处同时被查抄。王忠林夫人、女儿、前任女婿也一并被带走。 2. 2020年3月6日新闻|时任湖北省委常委、武汉市委书记王忠林在武汉市新冠肺炎疫情防控指挥部视频调度会上提出,要在全市广大市民中深入开展感恩教育:感恩总书记、感恩共产党,听党话、跟党走,形成强大正能量。 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:20 UTC111 viewsread 15 November 2026
Video

遭城管逼到绝境,小伙子当场起义! 2026年11月14日,广西平南南站广场东路,一名小伙子靠卖红薯干维持生计,本就是微薄收入,挣不了几个钱。却因城管索贿不成,竟扬言要没收他赖以谋生的小推车!忍无可忍的小伙子当场起义,愤怒反抗! 一个年轻人起早贪黑,靠双手挣口饭吃,没有偷、没有抢、没有犯罪,仅仅想活下去,却连这点生存空间都不肯给。城管执法竟沦为权力欺压底层的工具,索贿不成便动手夺人饭碗,这是什么执法逻辑? 在这个号称世界第二大经济体的国家,底层民众摆摊谋生都要面对权力的刁难。GDP再高,若连一个卖红薯干的小伙子都容不下,这所谓的繁荣究竟是给谁看的? 他只是想活着,靠劳动养活自己,这也有罪吗? 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:18 UTC111 viewsread 15 November 2026
Video

这才是房地产真正的天敌! 其实真别嘲笑这种人,人家说得挺对的,不是人人都需要奋斗,按照自己的方式经历人生就行。 但网友说了:放心,医院等着你,没有割不到的韭菜🤣 欢迎加入 🥗 后备 ‖ 视讯快报.

15 Nov 2026, 12:18 UTC109 views1 reactionsread 15 November 2026
Video

兄弟们,真正能拖垮我们、甚至让人倾家荡产的,不是大的意外,而是面子、虚荣心,还有和别人不停的攀比。很多消费和选择,都是为了活给别人看。 在我看来,现在很多人负债缠身、压力巨大,最根本的原因就是提前消费,花钱的时候痛快,但后面赚钱的速度跟不上还债的速度,没预测到后面经济大环境变差,钱没以前那么好赚了,后面慢慢就掉进这个无限循环的困境里。 欢迎加入 🥗 后备 ‖ 视讯快报.

❤1

Showing the 12 most recent of 1,710 posts we hold for @shixun160. 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

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 6 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

电报时报
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你本該知道
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#2
HimalayaNews
@NFSCHimalayaNews · 9,199
#3
学习墙国🐸
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#4
☠️三战快报☠️一级战备
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#5
龙潭誌异
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冲破矩阵
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华人资讯|疫苗真相
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中国梦
@CHlNA011 · 1,903
#9
大马新冠逆苗频道
@Covid_my · 1,455
#10
地球正義聯盟~資料館
@EarthJusticeLeague_DataLibrary · 9,238
#11
🌐 新纪元 新闻中心
@xinjiyuan9 · 8,379
#12
华夏画报
@luojisw001 · 3,688
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🔵希望在线华语音频广场🔵
@xiwangzaixian · 1,719
#14
美国之音
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#15
🇹🇼台灣【真相大覺醒】
@Rainbow1214 · 3,107
#16
🌴新加坡狮凤凰: 浴火重生SG
@SGCovidChineseInfo · 1,690
#17
軍事頻道
@warmilitary · 4,450
#18
文婕大觉醒频道
@wenjiech · 5,003
#19
香港大覺醒
@HkGreatAwakening · 4,887
#20
山本56臺灣
@Yamamoto56Taiwan · 1,008
#21
🌐 朗月清風 時事資訊
@aznc4566 · 1,821
#22
自由之声🌈
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墙国之音
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#24
影音中国(中国被禁的视频)
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月读
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Call Voter
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在花🎗️科技圈
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人民報
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竹新社
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方舟子
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政治观察
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敏感经济信息分享
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车速过快🚦开车娱乐搞笑沙雕
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知乎暴论
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#38
自由知生
@ziyouzhisheng1 · 1,573
#39
新唐人電視台
@NTDChinese · 2,285
#40
時事精选 🍁
@qwezz336 · 851
#41
RFI 华语 - 法国国际广播电台
@RFI_Cn · 7,511
#42
俄罗斯资讯参考频道
@JShangrong · 24,077
#43
Ruters乳透社🐻
@Ruters0615 · 25,084
#44
🌈与你同行🌈
@yunitongxing · 1,306
#45
大覺醒🔍真相搜查
@AwakenNews · 1,661
#46
寶島台灣
@Taiwannews1101218 · 3,926
#47
矩陣兔穴 Matrix Rabbit Hole
@MatrixRabbitHole1111 · 4,538
#48
真相就是希望
@falungongtelegram · 1,535
#49
Ricky Wong
@RickyWong2022 · 2,022
#50
大覺醒🔥揭密頻道
@followYHVH · 4,659
#51
西行小宝
@ruldophwest17 · 15,346
#52
Liberty Corps⚡️電子軍團
@Shadowwarrior01 · 1,289
#53
404通訊|The CCP-China Watch #资讯 #新闻 #时政 #反賊 #覺醒
@chinaupdate · 6,194
#54
风向旗参考快讯
@xhqcankao · 174,698
#55
生命智慧频道🌿🌱✨
@life_wisdom11 · 2,005
#56
支那傻事
@zhinashashi · 634
#57
好奇害死貓
@m16mkII · 6,026
#58
中华和平革命党(CPRP)-党务公开 Chinese Peaceful Revolutionary Party
@cprpwork · 704
#59
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,403
#60

Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

☠️三战快报☠️一级战备
@endofxi · 22,112
Telegram ranks this channel #3 of 49 here — alongside 48 others — read 23 September 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 78,507
Telegram ranks this channel #3 of 54 here — alongside 53 others — read 20 August 2026
美国之音
@voachinese · 42,222
Telegram ranks this channel #9 of 63 here — alongside 62 others — read 3 September 2026
电报时报
@times001 · 84,548
Telegram ranks this channel #15 of 66 here — alongside 65 others — read 18 August 2026
中国悲剧档案官方频道
@newszg_official · 155,840
Telegram ranks this channel #18 of 52 here — alongside 51 others — read 12 August 2026
俄罗斯资讯参考频道
@JShangrong · 24,077
Telegram ranks this channel #19 of 60 here — alongside 59 others — read 15 September 2026
Ruters乳透社🐻
@Ruters0615 · 25,084
Telegram ranks this channel #21 of 40 here — alongside 39 others — read 14 September 2026
香港人抗共日程表文宣頻道
@HK_Schedule · 23,265
Telegram ranks this channel #65 of 75 here — alongside 74 others — read 19 September 2026

This channel appears in 8 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“🥗 视讯快报~密接巨变时代” (@shixun160), 22,693 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/shixun160.

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.