zhouzhiro: 有人知道这是发生了啥情况?

Channel
影音中国(中国被禁的视频)
@TwtVideoOfChina
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
78,238subscribers
+7,731 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 | -1001281412036 |
|---|---|
| Type | Channel |
| Username | @TwtVideoOfChina |
| Created | 16 April 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/TwtVideoOfChina |
Topic
Politics & activism — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 10:29 | 78,238 | +57 |
| 6 Nov 2026, 08:51 | 78,181 | +53 |
| 5 Nov 2026, 05:40 | 78,128 | +58 |
| 4 Nov 2026, 08:26 | 78,070 | +80 |
| 3 Nov 2026, 04:56 | 77,990 | +87 |
| 2 Nov 2026, 04:37 | 77,903 | +50 |
| 1 Nov 2026, 05:31 | 77,853 | +63 |
| 31 Oct 2026, 03:07 | 77,790 | +52 |
| 30 Oct 2026, 02:29 | 77,738 | +91 |
| 29 Oct 2026, 05:08 | 77,647 | +123 |
| 27 Oct 2026, 23:49 | 77,524 | +106 |
| 27 Oct 2026, 01:19 | 77,418 | +50 |
| 26 Oct 2026, 04:37 | 77,368 | +88 |
| 25 Oct 2026, 04:50 | 77,280 | +56 |
| 24 Oct 2026, 04:19 | 77,224 | +69 |
| 23 Oct 2026, 04:41 | 77,155 | +70 |
| 22 Oct 2026, 06:57 | 77,085 | +115 |
| 21 Oct 2026, 03:47 | 76,970 | +58 |
| 19 Oct 2026, 23:56 | 76,912 | +55 |
| 18 Oct 2026, 21:48 | 76,857 | first reading |
Engagement
2,181 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 187 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.585%
- avg views ÷ 78,238 subscribers
- Avg views / post
- 457
- 640 posts measured
- Reaction rate
- 0.271%
- reactions ÷ views · ER floor
- Posts in window
- 640
- of 2,181 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 254 of 640 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 2,181 (6 August 2026 – 7 November 2026) |
| Views total | 292,747 |
| Reactions total | 369 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 07:22 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
- 4h 57m
- Average length
- 18s
Measured directly from 1,000 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
526 reactions across 335 posts, in 7 distinct kinds. The most used accounts for 62.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 328 | 62.4% | |
| ❤ | 179 | 34.0% | |
| 😁 | 7 | 1.33% | |
| 👎 | 5 | 0.951% | |
| 👏 | 3 | 0.57% | |
| 🤮 | 3 | 0.57% | |
| 😱 | 1 | 0.19% |
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 374 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 526 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 25 September 2026 to 7 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: 0 of 640 posts held from the last 30 days (0%) 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).
whyyoutouzhele: 毛泽东雕像进校园 11月3日,湖南韶山一网友发布某学校门口吊装毛泽东雕像的视频,评论区大量网友表示支持并且希望全国各地通行。
👎4👍2
SoundOfHope_SOH: 中国大陆某地,瘫痪在床老人有点凄惨,难道真的是“久病床前无孝子”,还是...
SoundOfHope_SOH: 叉车司机真淡定,都酿成事故了,还在继续作业!网友:这要出了人命,这厂子得赔死。
i441441: 瑞典,八旗老巢之一
VicentYip: 风一样的男子汉,岁月不败的他
❤1
SoundOfHope_SOH: 上海网友吐槽:小学门口,到放学时段就开展消杀作业,工作人员自己戴着防毒面具,却无视边上的许多家长和孩子!
FeiyanXie: 以为妈妈带女儿吃饭,点了一碗炒豆芽,她却吃了七碗饭,最后剩下的豆芽还打包,这一切瞒不过店主的善良…… 生活总有不如意,若非遇到难处,谁会如此不堪。为善良的店主点赞!愿这对母女早日走出困境❤️
FeiyanXie: 突然发现,八十年代的美女好有气质
LucyZha94759559: 🎆如果擦皮鞋的都开始谈论、购买股票,那就是非常危险的市場信号了…🧐
cuichenghao: “没事你折叠它干什么玩意?” 久违了!户晨风的新广子来了! 好一个见风使Duo!🤣🤣
Danyixia: 中国AI短剧:穿越大明朝,朱祁镇遇土木堡战役天崩开局,看他如何逆天改命!第二十九集!
Showing the 12 most recent of 2,181 posts we hold for @TwtVideoOfChina. 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.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@dw_Chinese · 384 postsasiafinance
@asiafinance · 23 posts中国频道真理报
@chinatruth · 171 postcrypto_daha
@crypto_daha · 41 post12
@Cyberxinfang · 141 post@MoQiuyao201314
@MoQiuyao201314 · 11 postTruth Media
@truthmedia123 · 21 postVideo Search for YouTube
@vid · 227,6251 post美国之音
@voachinese · 42,1871 post王局拍案
@wangjupaian · 71 post李老师不是你老师
@whyyoutouzhele · 7721 post
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.
Handles this channel named that no longer answer
- Dead references
- 23
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 23
- vacant every time we have ever looked
@TwtVideoOfChina named 23 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 8 posts, 2 October 2026 – 6 October 2026
named in 3 posts, 3 November 2026 – 6 November 2026
named in 3 posts, 19 September 2026 – 13 October 2026
named in 3 posts, 13 September 2026 – 19 September 2026
named in 2 posts, 24 October 2026 – 4 November 2026
named in 2 posts, 2 October 2026 – 6 October 2026
named in 2 posts, 27 September 2026 – 5 October 2026
named in 2 posts, 2 October 2026 – 2 October 2026
named in 2 posts, 2 October 2026 – 2 October 2026
named in 2 posts, 6 September 2026 – 7 September 2026
named in 1 post, 2 November 2026 – 2 November 2026
named in 1 post, 28 October 2026 – 28 October 2026
named in 1 post, 10 October 2026 – 10 October 2026
named in 1 post, 6 October 2026 – 6 October 2026
named in 1 post, 2 October 2026 – 2 October 2026
named in 1 post, 27 September 2026 – 27 September 2026
named in 1 post, 21 September 2026 – 21 September 2026
named in 1 post, 18 September 2026 – 18 September 2026
named in 1 post, 15 September 2026 – 15 September 2026
named in 1 post, 13 September 2026 – 13 September 2026
named in 1 post, 7 September 2026 – 7 September 2026
named in 1 post, 6 September 2026 – 6 September 2026
named in 1 post, 8 August 2026 – 8 August 2026
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.
@newszg_official · 156,871#1
@times001 · 84,408#2
@shixun160 · 22,711#3
@nbgzd · 10,273#4
@XueXi_China · 86,396#5
@juexinggonglue · 15,836#6
@liangjiahepost · 18,422#7
@chigua_e · 229,943#8
@jinxw · 10,377#9
@FLLCG · 41,012#10
@cgbg8 · 107,450#11
@lightrekt · 48,158#12
@GuoJiRiBao · 49,137#13
@ziyouzhisheng1 · 1,576#14
@pelosi3 · 72,457#15
@sosonews · 4,620#16
@asiatvnewssea · 595#17
@Mandark_5678 · 4,678#18
@CHlNA011 · 1,916#19
@Lying2 · 6,158#20
@chigua_a · 215,403#21
@yuedu · 4,866#22
@aimeinv88 · 23,916#23
@TY110110 · 2,414#24
@aznc4566 · 1,829#25
@DBHR8 · 18,519#26
@mightyflame · 25,445#27
@ShuZiTime · 2,115#28
@sinchewtelegram · 39,735#29
@xingchen0829 · 7,322#30
@yuanqubot · 16,132#31
@freechinese · 27,744#32
@VoiceofPooh · 22,206#33
@duanzilaile · 2,184#34
@ytdaily · 5,820#35
@ay2028 · 66,497#36
@chinaupdate · 6,205#37
@idaily_read · 2,355#38
@fangshimin · 15,864#39
@woshadiao · 114,520#40
@JShangrong · 24,156#41
@endofxi · 21,992#42
@chinafounder · 14,617#43
@english_bilingual · 4,900#44
@luojisw001 · 3,697#45
@voachinese · 42,187#46
@ww3ch · 9,422#47
@NFSCHimalayaNews · 9,258#48
@rthk_new_c · 48,979#49
@RFI_Cn · 7,508#50
@cnbeta_com · 27,443#51
@NiceQuotes123 · 5,539#52
@ttww_rss · 7,113#53
@warmilitary · 4,448#54
Read from Telegram’s recommendation API, most recently 20 August 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.
@aimeinv88 · 23,916
Telegram ranks this channel #4 of 20 here — alongside 19 others — read 18 September 2026
@shixun160 · 22,711
Telegram ranks this channel #25 of 60 here — alongside 59 others — read 19 September 2026
@newszg_official · 156,871
Telegram ranks this channel #37 of 52 here — alongside 51 others — read 12 August 2026
This channel appears in 3 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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“影音中国(中国被禁的视频)” (@TwtVideoOfChina), 78,238 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/TwtVideoOfChina.
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.