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Channel

🥗 视讯快报~密接巨变时代

@shixun160

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,747subscribers

-445 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 March 2016 and 31 October 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 4 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 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
@shixun16/549096 Aug 2026, 03:07 UTC@shixun160/155935 · this entry6 Aug 2026, 03:07 UTC1.00under a minute
@shixun16/549116 Aug 2026, 03:33 UTC@shixun160/155937 · this entry6 Aug 2026, 03:33 UTC1.00under a minute
@shixun16/549176 Aug 2026, 05:50 UTC@shixun160/155943 · this entry6 Aug 2026, 05:50 UTC1.00under a minute
@shixun16/549256 Aug 2026, 08:44 UTC@shixun160/155951 · this entry6 Aug 2026, 08:44 UTC1.00under a minute
@shixun16/550827 Aug 2026, 13:00 UTC@shixun160/156055 · this entry7 Aug 2026, 13:01 UTC1.00under a minute
@shixun16/550867 Aug 2026, 13:01 UTC@shixun160/156059 · this entry7 Aug 2026, 13:01 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@shixun168 (7/8 hand-verifiable sample passed)1.00under a minute@shixun16 (6–2)

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. 6 of the 6 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 13 comparable posts for this entry, running 6 August 2026 to 8 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 @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 8 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

22,74723,19222,969.56 August 2026 — 23,192 subscribers6 August 2026 — 23,192 subscribers7 August 2026 — 23,175 subscribers8 August 2026 — 23,174 subscribers9 August 2026 — 23,158 subscribers10 August 2026 — 23,155 subscribers11 August 2026 — 23,140 subscribers12 August 2026 — 23,131 subscribers13 August 2026 — 23,129 subscribers14 August 2026 — 23,110 subscribers16 August 2026 — 23,099 subscribers17 August 2026 — 23,089 subscribers18 August 2026 — 23,084 subscribers19 August 2026 — 23,082 subscribers20 August 2026 — 23,081 subscribers21 August 2026 — 23,074 subscribers22 August 2026 — 23,065 subscribers24 August 2026 — 23,045 subscribers25 August 2026 — 23,042 subscribers26 August 2026 — 23,035 subscribers27 August 2026 — 23,041 subscribers28 August 2026 — 23,043 subscribers29 August 2026 — 23,040 subscribers30 August 2026 — 23,041 subscribers31 August 2026 — 23,038 subscribers1 September 2026 — 23,033 subscribers2 September 2026 — 23,024 subscribers4 September 2026 — 23,012 subscribers6 September 2026 — 23,006 subscribers10 September 2026 — 22,984 subscribers12 September 2026 — 22,964 subscribers14 September 2026 — 22,957 subscribers15 September 2026 — 22,961 subscribers18 September 2026 — 22,955 subscribers1 October 2026 — 22,858 subscribers6 October 2026 — 22,835 subscribers10 October 2026 — 22,810 subscribers13 October 2026 — 22,780 subscribers15 October 2026 — 22,773 subscribers16 October 2026 — 22,779 subscribers17 October 2026 — 22,771 subscribers18 October 2026 — 22,772 subscribers19 October 2026 — 22,778 subscribers20 October 2026 — 22,768 subscribers21 October 2026 — 22,770 subscribers22 October 2026 — 22,780 subscribers23 October 2026 — 22,784 subscribers24 October 2026 — 22,775 subscribers25 October 2026 — 22,772 subscribers26 October 2026 — 22,765 subscribers27 October 2026 — 22,763 subscribers28 October 2026 — 22,767 subscribers29 October 2026 — 22,763 subscribers31 October 2026 — 22,753 subscribers1 November 2026 — 22,755 subscribers1 November 2026 — 22,762 subscribers2 November 2026 — 22,763 subscribers4 November 2026 — 22,747 subscribers6 August 20264 November 2026
58 measurements spanning 90 days, net -445. 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 22,680–23,259 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
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, 19:5122,780+10
21 Oct 2026, 13:2122,770+2
20 Oct 2026, 07:3622,768-10
19 Oct 2026, 05:0722,778+6
18 Oct 2026, 02:4722,772+1
17 Oct 2026, 03:3822,771-8
16 Oct 2026, 03:1622,779+6
15 Oct 2026, 00:3622,773first reading

Engagement

1,401 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 93 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.677%
avg views ÷ 22,747 subscribers
Avg views / post
154
287 posts measured
Reaction rate
0.935%
reactions ÷ views · ER floor
Posts in window
287
of 1,401 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 120 of 287 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 4 November 2026
Posts held1,401 (6 August 2026 – 4 November 2026)
Views total44,168
Reactions total220
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 14:24 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
≈30,300
Videos
≈123,000
Links
≈101,000

Lifetime counters from Telegram’s own channel header, read 4 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
31h 29m
Average length
2m 05s

Measured directly from 910 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

1,185 reactions across 501 posts, in 44 distinct kinds. The most used accounts for 31.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍37531.6%
❤17714.9%
👏847.09%
🙏665.57%
😢524.39%
🤬443.71%
😁393.29%
😱332.78%
🥴302.53%
🔥292.45%
👎282.36%
🤯272.28%
💩231.94%
🤣211.77%
😨201.69%
🥱201.69%
🖕171.43%
😡151.27%
🤮151.27%
🥰80.675%
24 further kinds625.23%

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 515 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 1,185 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 19 August 2026 to 4 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: 1 of 287 posts held from the last 30 days (0.348%) 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).

4 Nov 2026, 13:14 UTC111 viewsread 4 November 2026
Video

万斯(JD Vance)讲的这个“民主党女儿”的段子确实非常绝妙,它用一种美式家庭幽默,既展示了自己作为父亲温情、接地气的一面,又极其幽默地讽刺了政治对手的政策逻辑(拿别人的东西去慷慨解囊)。这种幽默感是极具亲和力和高级感的,能瞬间拉近与中间选民的距离。 而相比之下, 川普的语言风格确实截然不同,他是典型的“出了九分力,倒在最后一句话上”。他为国家呕心沥血、政策成果显著,却因极具攻击性的“大嘴巴”将“豆腐心”彻底掩盖,正如老话所说:“你做的所有好事,都被你那张嘴给毁了。” 如果他能有万斯四分之一的自嘲与内敛,政治阻力或许会小得多。但历史的吊诡之处也正在于此,如果没有这张天不怕地不怕、混不吝的大嘴,他当年根本无法打破建制派的铜墙铁壁。这种言论极化在帮他冲破阻力的同时,也凝聚了巨大的仇恨与反噬力量,在无形中将他推向险境——他成于这张嘴,也受困于这张嘴。 无论如何,我坚定地支持川普所作出的所有政绩,不会因为那张嘴去支持民主党拿美国纳…

4 Nov 2026, 13:14 UTC102 viewsread 4 November 2026
Video

《万万没想到德州竟然变蓝了》 卧槽,德州竟然变蓝了!美国政治版图迎来了一场令人震惊的历史性逆转。 2026年11月3日,美国中期选举传来重磅消息,长期被视为共和党深红色堡垒的德克萨斯州,竟然迎来了民主党历史性胜利。这个几十年来共和党牢牢把控的州,如今被民主党正面攻破,简直就是一场政治地震! 州长选举中,民主党候选人Gina Hinojosa击败共和党现任州长Greg Abbott,成为自1990年Ann Richards以来,德州首位民主党州长,同时也是德州历史上首位拉丁裔女州长。执政多年的Abbott最终承认败选,昔日稳如磐石的共和党统治就此出现裂痕。 联邦参议员选举同样令人震撼。民主党候选人James Talarico击败共和党人Ken Paxton,结束了民主党自1988年以来在德州联邦参议院选举中的长期失利局面。副州长、总检察长等多个重要职位也出现民主党胜出的局面,蓝色浪潮席卷德州。 这场逆转绝非偶然。生活成本不…

4 Nov 2026, 13:13 UTC93 viewsread 4 November 2026
Video

特朗普总统祝贺民主党人在中期选举中获胜,但明确表示:他并不认为选举结果是对其领导力的否定。 “祝贺民主党人。他们干得不错。他们盼这个盼了整整11年,终于得偿所愿。但我不认为这是对我的打击...在历任总统历史上,我们度过了最伟大的两年。” 欢迎加入 🥗 后备 ‖ 视讯快报.

4 Nov 2026, 13:13 UTC92 views0 reactionsread 4 November 2026
Photo

选举结果已定,共和党全盘皆输。 我昨天发出这个推文,是想让大家有个心理准备,免得遭受突如其来的打击而难以承受。我其实早就预见到了,会失去两院,而且会输得很惨。私下跟很多朋友说了,在上个星期的“实事大家谈”节目也暗示了这一点。 我们为什么会走到这一步?难道我们永远只去责怪选民愚昧吗?为什么连我身边很多最坚定的MAGA最后也绝望而去?难道我们不应该反思吗? 这次选举不是输在意识形态之争,而是政策的连续失误。你不能既要求大家勒紧裤带支援对敌作战,又对敌人示好。普通民众会有被耍弄的感觉。当川普对伊朗魔鬼政权释放善意时,我就知道事情会很糟糕;当他掉进中共设下的陷阱,以最高规格接待那位大独裁者时,我知道中期选举完了。历次选举两党都会大打反共牌,而他主动放弃了这张手中的王牌。得了芝麻,丢了西瓜。但我也只能大声说出我的不同看法和建议,不能说得太透彻,否则会长敌人志气灭自己威风。选前我一直说得很隐晦,不想打击大家的积极性。但是这一天终究会来,我们…

4 Nov 2026, 13:13 UTC92 viewsread 4 November 2026
Video

国内被禁!💥活埋西藏数千人的瞬间, 太惨烈了!💥 欢迎加入 🥗 后备 ‖ 视讯快报.

4 Nov 2026, 13:13 UTC82 viewsread 4 November 2026
Video

🔥这个视频在国内瞬间点赞超过两万! 当年轻人开始普遍感到一种淡淡的死感,社会究竟出了什么问题? 如今,国内不少年轻人都在表达一种难以言说的疲惫感,一种对未来缺乏期待、对生活逐渐失去热情的“淡淡的死感”。 人无恒产,则无恒心。一个人如果连稳定的收入都难以保障,买不起房、结不起婚,工作朝不保夕,努力看不到回报,又凭什么对未来充满希望? 年轻人不是天生躺平,更不是没有理想。他们也曾满怀热忱,渴望通过努力改变命运。然而,当付出与回报严重失衡,当奋斗无法换来基本的生活保障,当社会上升通道越来越狭窄,理想就会逐渐被现实磨灭。 最可怕的不是年轻人暂时贫穷,而是他们开始相信,无论自己如何努力,人生都不会有实质性的改变。 一个健康的社会,应该让年轻人看得到希望,拥有尊严,能够通过劳动获得稳定的生活。 当一代年轻人开始对未来失去期待,这绝不是简单的个人情绪,而是值得整个社会认真面对的现实警讯。希望不该成为奢侈品,活着也不该只剩下疲惫与忍…

4 Nov 2026, 13:13 UTC80 viewsread 4 November 2026
Video

今天翻视频,刷到了2019年香港大学清场影片。7年过去了,不知道香港是否经历了这另类的“七年之痒”,如今心情难以平复。 那些画面至今仍然令人心碎。 当学校成为战场,肆意挥洒的青春,最终变成满地鲜血。 一国两制就是个笑话,承诺的50年,甚至只维持了不到一半。 最不解的是,事实都已经摆在眼前了,还是有人继续相信。也有很多台湾人相信它们的鬼话连篇。 历史不一定会重演,但它留下的教训,总有人急着忘记。 民主从来不是理所当然,不关心政治,不代表政治不会影响你。 不要让沉默,成为别人替你决定未来的原因。 欢迎加入 🥗 后备 ‖ 视讯快报.

4 Nov 2026, 13:13 UTC82 views1 reactionsread 4 November 2026
Video

这殡葬师真好,给嘴馋的小姑娘忠告:千万别天天吃螺狮粉、麻辣烫和垃圾食品!殡葬师都知情,政府相关部门会不知道吗?尤其是习近平还专门推荐螺狮粉! 欢迎加入 🥗 后备 ‖ 视讯快报.

❤1

4 Nov 2026, 13:12 UTC81 viewsread 4 November 2026
Video

这就是为什么要建墙不准翻墙的原因吗? 蔡英文的原声: • 哦我忘了定义一下 • 你们在台北市 • 台北市有一个两岁以下小朋友的小家庭(一家三口)政府一年「至少」帮你省了19万2千元 • 租金补贴 7,000×12=84,000 • 育儿津贴 5,000×12=60,000 • TPASS 2,000×12×2=48,000 • 192,000 • 租屋补贴7千元 • 育儿津贴一个月5千 • 从明年开始 • 送准公托 • 还有我们在大台北 • 一年就是4万8千 • 小朋友的小家庭 • 19万2千元 • 政府一年加起来至少帮你 276,000 • 跟照顾长辈的长照补贴哦 • 而自我感觉良好 • 但是要快速的调高薪水 • 用最快的方式来进行 • 尽量来减低大家的负担 • 我们是不是有语言上面的 • 实际余额 过去七年多来 • 1150億 • 总共会还超过9千億 • 蔡英文没有增加 …

4 Nov 2026, 13:12 UTC80 viewsread 4 November 2026
Photo

曾经参与过抗洪抢险救灾任务的中共退伍老兵,一场大病掏空一切,能卖的全卖了,在网上公开求党中央救命。 党国向来用完就弃,不管是你曾经为党国付出了多少,在它们眼里没有了利用价值就是一文不值,现在得了重病还是与普通群众一样得不到任何优待,这个时候就最能看清中共的嘴脸。 欢迎加入 🥗 后备 ‖ 视讯快报.

4 Nov 2026, 13:11 UTC79 viewsread 4 November 2026
Video

坐标:哈尔滨闫家岗机场。打了三针疫苗,在机场等机人就没了! 中共在疫情期间号召全民打疫苗,甚至到后期免费打疫苗送鸡蛋送粮送钱如今很多人明白疫苗危害,为时已晚。 欢迎加入 🥗 后备 ‖ 视讯快报.

4 Nov 2026, 13:11 UTC78 viewsread 4 November 2026
Photo

“拉萨骚乱”是胡锦涛担任西藏党委书记期间,最显著的一次戒严行动。89年3月5日开始,西藏发生严重抗议。抗议者包括僧侣和民众纷纷走上街头要求独立,随后赶来解放军发生激烈冲突。3月8日胡锦涛宣布对拉萨进行戒严之后,事态才逐渐平息。这次镇压成功外,也打开了胡的仕途空间。 欢迎加入 🥗 后备 ‖ 视讯快报.

Showing the 12 most recent of 1,401 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
@times001 · 84,402
#1
你本該知道
@nbgzd · 10,282
#2
HimalayaNews
@NFSCHimalayaNews · 9,279
#3
学习墙国🐸 海雯娜拉黑版😭
@XueXi_China · 86,469
#4
☠️三战快报☠️一级战备
@endofxi · 21,928
#5
龙潭誌异
@dragonsden2k · 2,537
#6
冲破矩阵
@RidingWaveWithQ · 6,624
#7
华人资讯|疫苗真相
@xingchen0829 · 7,329
#8
中国梦
@CHlNA011 · 1,916
#9
大马新冠逆苗频道
@Covid_my · 1,450
#10
地球正義聯盟~資料館
@EarthJusticeLeague_DataLibrary · 9,257
#11
🌐 新纪元 新闻中心
@xinjiyuan9 · 8,423
#12
华夏画报
@luojisw001 · 3,704
#13
🔵希望在线华语音频广场🔵
@xiwangzaixian · 1,732
#14
美国之音
@voachinese · 42,119
#15
🇹🇼台灣【真相大覺醒】
@Rainbow1214 · 3,115
#16
🌴新加坡狮凤凰: 浴火重生SG
@SGCovidChineseInfo · 1,688
#17
軍事頻道
@warmilitary · 4,453
#18
文婕大觉醒频道
@wenjiech · 5,012
#19
香港大覺醒
@HkGreatAwakening · 4,871
#20
山本56臺灣
@Yamamoto56Taiwan · 993
#21
🌐 朗月清風 時事資訊
@aznc4566 · 1,829
#22
自由之声🌈
@yuhegy · 3,049
#23
墙国之音
@chinafounder · 14,627
#24
影音中国(中国被禁的视频)
@TwtVideoOfChina · 78,070
#25
月读
@yuedu · 4,875
#26
军事消息
@ww3ch · 9,398
#27
📰 東亞研究所新聞部 📰
@eanrinews · 1,467
#28
Call Voter
@CallVoter · 2,276
#29
在花🎗️科技圈
@zaihuapd · 288,760
#30
人民報
@renminbao1 · 2,678
#31
竹新社
@tnews365 · 165,775
#32
方舟子
@fangshimin · 15,887
#33
禁闻网
@jinxw · 10,384
#34
政治观察
@freedom_watch · 6,399
#35
敏感经济信息分享
@pelosi3 · 72,343
#36
车速过快🚦开车娱乐搞笑沙雕
@chesgk · 5,068
#37
知乎暴论
@mightyflame · 25,462
#38
自由知生
@ziyouzhisheng1 · 1,579
#39
新唐人電視台
@NTDChinese · 2,289
#40
時事精选 🍁
@qwezz336 · 855
#41
RFI 华语 - 法国国际广播电台
@RFI_Cn · 7,497
#42
俄罗斯资讯参考频道
@JShangrong · 24,180
#43
Ruters乳透社🐻
@Ruters0615 · 25,176
#44
🌈与你同行🌈
@yunitongxing · 1,307
#45
大覺醒🔍真相搜查
@AwakenNews · 1,654
#46
寶島台灣
@Taiwannews1101218 · 3,864
#47
矩陣兔穴 Matrix Rabbit Hole
@MatrixRabbitHole1111 · 4,539
#48
真相就是希望
@falungongtelegram · 1,549
#49
Ricky Wong
@RickyWong2022 · 2,028
#50
大覺醒🔥揭密頻道
@followYHVH · 4,661
#51
西行小宝
@ruldophwest17 · 15,346
#52
Liberty Corps⚡️電子軍團
@Shadowwarrior01 · 1,296
#53
404通訊|The CCP-China Watch #资讯 #新闻 #时政 #反賊 #覺醒
@chinaupdate · 6,212
#54
风向旗参考快讯
@xhqcankao · 166,946
#55
生命智慧频道🌿🌱✨
@life_wisdom11 · 2,006
#56
支那傻事
@zhinashashi · 639
#57
好奇害死貓
@m16mkII · 6,010
#58
中华和平革命党(CPRP)-党务公开 Chinese Peaceful Revolutionary Party
@cprpwork · 710
#59
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,447
#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 · 21,928
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 · 78,070
Telegram ranks this channel #3 of 54 here — alongside 53 others — read 20 August 2026
美国之音
@voachinese · 42,119
Telegram ranks this channel #9 of 63 here — alongside 62 others — read 3 September 2026
电报时报
@times001 · 84,402
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 · 157,255
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 · 24,180
Telegram ranks this channel #19 of 60 here — alongside 59 others — read 15 September 2026
Ruters乳透社🐻
@Ruters0615 · 25,176
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 · 23,167
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 4 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), 22,747 subscribers as measured 4 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.