消息中的按钮。 开发者可以在任何消息中添加多个按钮。 通过使用临时消息,这使得可以创建**自动化流程**,从而可以在一条消息中运行整个应用程序。

Channel
Telegram 中文导航
@ChineseTelegram_Channel
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
12,489subscribers
-2,165 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001324725461 |
|---|---|
| Type | Channel |
| Username | @ChineseTelegram_Channel |
| Description | Telegram中文内容发布通知站 涵盖 更新内容 重大事件 和我们一起构建更便捷的Telegram中文社区生态 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/ChineseTelegram_Channel |
Topic
Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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 |
|---|---|---|
| 10 Nov 2026, 15:47 | 12,489 | -151 |
| 9 Nov 2026, 06:29 | 12,640 | -240 |
| 7 Nov 2026, 18:29 | 12,880 | +944 |
| 6 Nov 2026, 17:31 | 11,936 | +77 |
| 5 Nov 2026, 15:51 | 11,859 | -80 |
| 4 Nov 2026, 16:16 | 11,939 | -130 |
| 3 Nov 2026, 14:37 | 12,069 | -19 |
| 2 Nov 2026, 13:39 | 12,088 | -112 |
| 1 Nov 2026, 11:14 | 12,200 | -189 |
| 31 Oct 2026, 13:41 | 12,389 | -243 |
| 30 Oct 2026, 16:17 | 12,632 | -193 |
| 29 Oct 2026, 16:01 | 12,825 | -124 |
| 28 Oct 2026, 17:37 | 12,949 | +1,106 |
| 27 Oct 2026, 14:16 | 11,843 | +836 |
| 26 Oct 2026, 12:00 | 11,007 | -102 |
| 25 Oct 2026, 15:06 | 11,109 | -94 |
| 24 Oct 2026, 16:27 | 11,203 | -190 |
| 23 Oct 2026, 18:27 | 11,393 | -124 |
| 22 Oct 2026, 15:47 | 11,517 | -283 |
| 21 Oct 2026, 09:20 | 11,800 | first reading |
Engagement
50 posts held, back to 1 July 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 64 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.6%
- avg views ÷ 12,489 subscribers
- Avg views / post
- 2,070
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 50 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.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 50 (1 July 2026 – 5 November 2026) |
| Views total | 8,285 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 20:42 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
- 185
- Videos
- 31
- Links
- 46
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 23m 17s
- Average length
- 2m 07s
Measured directly from 11 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 4 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).
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Showing the 12 most recent of 50 posts we hold for @ChineseTelegram_Channel. 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
@ChineseTelegram_Channel edited 3 posts 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
- 30 August 2026
- Most recent edit
- 30 August 2026
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 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.
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.
@durov · 10,056,8632 postsTON Info English
@infotonen · 11,0392 postsTelegram Info
@tginfo · 84,0132 postsTelegram Info 中文
@tginfocn · 5,8832 posts超级搜索🔍 @SuperSuo
@ChaoSuoBOT · 729,0191 post🔍超级搜索
@CJSS_Chinese · 2,3281 post超级引擎🔍 @CJYQ
@cjyq · 1,475,8911 post极搜🔍资源搜索@JISOU
@jisou2 · 2,592,1981 post🔍快搜 中文资源搜索
@Kuai_Chinese · 12,1051 postTelegram for macOS Updates
@macos_stable_updates_files · 13,5131 post🔍极搜 Telegram 中文全局搜索 JISOU
@R18SC_JiSouCN · 12,6441 post🐴 神马搜索 🔍
@smss · 964,4181 post🔍SOSO 搜搜 中文搜索
@SOSO_ChineseSS · 12,7421 postSpam Info Bot
@SpamBot · 34,410,7041 post速搜
@ssou · 176,1471 postSuper 🔍
@super · 570,4751 post🔍Super 超级搜索
@SuperCJSS · 11,9791 post索引机器🔍@SYJQ
@syjq · 971,9001 postTelegram APKs for Android
@TAndroidAPK · 260,0911 postTelegram News
@telegram · 9,146,9501 post中文索引
@TeleTop123Bot · 312,8451 postTelegram Info English
@tginfoen · 30,1451 postНовости Walt (ранее Кошелёк)
@walt_news_cis · 1,085,5381 post新必搜🔍@xbso
@xbso · 386,9991 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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Telegram 中文导航” (@ChineseTelegram_Channel), 12,489 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ChineseTelegram_Channel.
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.