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Channel

📣文宣中国📣

@VoiceofCN

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

14,359subscribers

-373 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-1001376966548
TypeChannel
Username@VoiceofCN
Created3 February 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/VoiceofCN

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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 why it has no browse page of its own yet.

Growth

14,35914,73214,545.56 August 2026 — 14,732 subscribers7 August 2026 — 14,725 subscribers8 August 2026 — 14,714 subscribers9 August 2026 — 14,702 subscribers10 August 2026 — 14,696 subscribers11 August 2026 — 14,683 subscribers12 August 2026 — 14,672 subscribers13 August 2026 — 14,666 subscribers15 August 2026 — 14,654 subscribers16 August 2026 — 14,640 subscribers17 August 2026 — 14,632 subscribers18 August 2026 — 14,627 subscribers19 August 2026 — 14,619 subscribers21 August 2026 — 14,613 subscribers23 August 2026 — 14,597 subscribers24 August 2026 — 14,579 subscribers26 August 2026 — 14,572 subscribers27 August 2026 — 14,561 subscribers28 August 2026 — 14,551 subscribers29 August 2026 — 14,547 subscribers30 August 2026 — 14,533 subscribers31 August 2026 — 14,524 subscribers1 September 2026 — 14,510 subscribers2 September 2026 — 14,495 subscribers3 September 2026 — 14,478 subscribers6 September 2026 — 14,463 subscribers9 September 2026 — 14,431 subscribers12 September 2026 — 14,417 subscribers13 September 2026 — 14,389 subscribers15 September 2026 — 14,381 subscribers17 September 2026 — 14,359 subscribers6 August 202617 September 2026
31 measurements spanning 42 days, net -373. 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 14,303–14,788 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
17 Sept 2026, 14:4114,359-22
15 Sept 2026, 13:5514,381-8
13 Sept 2026, 18:5614,389-28
12 Sept 2026, 00:2014,417-14
9 Sept 2026, 15:0114,431-32
6 Sept 2026, 06:2014,463-15
3 Sept 2026, 23:3714,478-17
2 Sept 2026, 11:3514,495-15
1 Sept 2026, 09:3714,510-14
31 Aug 2026, 07:1214,524-9
30 Aug 2026, 05:4414,533-14
29 Aug 2026, 05:4814,547-4
28 Aug 2026, 04:0814,551-10
27 Aug 2026, 00:5614,561-11
26 Aug 2026, 00:0414,572-7
24 Aug 2026, 21:4314,579-18
23 Aug 2026, 09:3714,597-16
21 Aug 2026, 20:3514,613-6
19 Aug 2026, 19:2714,619-8
18 Aug 2026, 18:1314,627first reading

Engagement

7 posts held, back to 5 June 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 51 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 4 September 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

232 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 38.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣8938.4%
🤯5222.4%
4318.5%
👍2711.6%
😢125.17%
🤔62.59%
🤬31.29%

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 7 of the 7 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 232 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 5 June 2025 to 4 September 2025, 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

4 Sept 2025, 14:01 UTC≈10,600 views33 reactionsread 2 September 2026
Photo

Photo, posted without a caption

🤣284👍1

26 Jul 2025, 03:05 UTC≈15,200 views46 reactionsread 2 September 2026
Photo

Photo, posted without a caption

26🤣14🤔5👍1

26 Jul 2025, 01:05 UTC≈12,400 views34 reactionsread 2 September 2026
Photo

Photo, posted without a caption

🤣19👍114

25 Jul 2025, 23:32 UTC≈9,660 views24 reactionsread 2 September 2026
Photo

Photo, posted without a caption

🤯12🤣11👍1

14 Jul 2025, 02:00 UTC≈9,810 views75 reactionsread 2 September 2026
Photo

近日,大连工业大学一位女生和一位外国籍男士发生关系后,亲密照片被该外国人放到了社交媒体,近日,该校选择将女生开除,并把女生的名字公之于众。

🤯39🤣17😢104🤬3👍1🤔1

12 Jun 2025, 22:50 UTC≈10,300 views6 reactionsread 2 September 2026
Forwarded from @douban_readPhoto

【法律指南】兰州海棠案Q&A source

3😢2🤯1

5 Jun 2025, 12:30 UTC≈8,960 views14 reactionsread 2 September 2026
Photo

Photo, posted without a caption

👍122

Showing the 7 most recent of 7 posts we hold for @VoiceofCN. 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 5 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.

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.

Ruters乳透社🐻
@Ruters0615 · 25,589
Telegram ranks this channel #14 of 40 here — alongside 39 others — read 14 September 2026
777文宣傳播稿件大合集
@hkposter777 · 22,381
Telegram ranks this channel #29 of 78 here — alongside 77 others — read 20 September 2026
「VoP」維尼之聲 - Voice of Pooh🔊
@VoiceofPooh · 22,612
Telegram ranks this channel #33 of 53 here — alongside 52 others — read 20 September 2026
香港人抗爭日程表文宣頻道
@HK_Schedule · 23,100
Telegram ranks this channel #49 of 75 here — alongside 74 others — read 19 September 2026
法庭文字直播台
@youarenotalonehk_live · 32,152
Telegram ranks this channel #61 of 75 here — alongside 74 others — read 5 September 2026

This channel appears in 5 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“📣文宣中国📣” (@VoiceofCN), 14,359 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/VoiceofCN.

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.