一个公民,因为行使了公民的基本权利,被纠了个小错,关了4天....如果说句真话、提个意见都要冒着被拘留的风险,那以后谁还敢说话?我不知道这种风气始于何时,但我知道,一个一点气都不露的高压锅放在火上烧,迟早会出事的。 🔗 魏春亮说|还让不让人说话了?

Channel
中国数字时代
@cdtchinesefeed
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry
42,184subscribers
-356 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 | -1001120157672 |
|---|---|
| Type | Channel |
| Username | @cdtchinesefeed |
| Description | 官方名片:http://cdt.media 官方推特账号:https://twitter.com/CDTChinese 404文库频道:https://t.me/cdt404notfound 视频频道:https://t.me/cdt404tv 本站现已开通匿名投稿Bot @cdtmedia_bot 404投给CDT~ |
| Created | 16 June 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/cdtchinesefeed |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 08:52 | 42,184 | -12 |
| 11 Aug 2026, 07:47 | 42,196 | -9 |
| 10 Aug 2026, 04:17 | 42,205 | -148 |
| 9 Aug 2026, 01:40 | 42,353 | -69 |
| 7 Aug 2026, 22:24 | 42,422 | -65 |
| 6 Aug 2026, 20:27 | 42,487 | -53 |
| 6 Aug 2026, 02:20 | 42,540 | no change |
| 6 Aug 2026, 02:19 | 42,540 | first reading |
Engagement
84 posts held, back to 3 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.01%
- avg views ÷ 42,184 subscribers
- Avg views / post
- 1,270
- 84 posts measured
- Reaction rate
- 0.559%
- reactions ÷ views · ER floor
- Posts in window
- 84
- of 84 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 70 of 84 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 84 (3 August 2026 – 12 August 2026) |
| Views total | 106,722 |
| Reactions total | 510 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:20 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
- ≈3,950
- Videos
- ≈7
- Links
- ≈20,700
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Reaction mix
427 reactions across 53 posts, in 15 distinct kinds. The most used accounts for 34.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 145 | 34.0% | |
| ❤ | 97 | 22.7% | |
| 🤡 | 71 | 16.6% | |
| 🤮 | 26 | 6.09% | |
| 🤣 | 22 | 5.15% | |
| 🔥 | 15 | 3.51% | |
| 🤓 | 15 | 3.51% | |
| 😁 | 13 | 3.04% | |
| 🍾 | 5 | 1.17% | |
| 👏 | 4 | 0.937% | |
| 🎉 | 3 | 0.703% | |
| 🙏 | 3 | 0.703% | |
| 🤪 | 3 | 0.703% | |
| 🥱 | 3 | 0.703% | |
| ✍ | 2 | 0.468% |
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 70 of the 84 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 510reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 84 most recent posts we hold, published 3 August 2026 to 12 August 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
我们的建议主要聚焦:完善网络暴力定义和管辖规定;细化平台取证及留证义务;重点保护未成年人及其他特定群体;强化对深度伪造私密内容、恶意剪辑、转发助推等新型网暴行为的规制...... 🔗 北京市千千律师事务所|一起来提交!关于《反网络暴力法(征求意见稿)》的修改建议
🤡2
社会想不陷入《1984》那样的人间地狱,首先做到的,就是不能饶恕任何一个把私下耳语拿来当公域罪证的告密者——无论他告密的东西是否踩中了你或者这个社会的敏感点。还好,这一次,贾冰没说什么。但下一次呢? 🔗 海边的西塞罗|这个恐怖视频,看的我比贾冰还后怕
❤1
Q_May_007:马斯克强烈鼓励大家去中国旅游,美国驻华大使馆强烈建议大家登记。 🔗 【网络民议】马斯克母子:推荐去中国;美国驻华使馆:需警惕风险
每日一语 2026.8.11 卖不动?买不动!
👍16
莫说现在还没有足够的证据证明摊贩夫妇殴打了城管,即便是打了,视频里那个穿着制服的城管,那个凶恶的行为,也是可怕的,仅仅那一个片段,就足矣将事件定性。因为这不是普通个体之间的殴打,而是一方本身就代表了法律和秩序。 🔗 流浪的木白|武汉打人事件,淡化影响不能扭曲事实
光是媒体道歉,不足以给酒店公道,也不足以让人相信,在处理类似纠纷时,监管的天平会不偏不倚,把公平公正而不是平息投诉放在首位。 🔗 四环青年|“睡车里被收150元住宿费”反转,该反思的不只是媒体
😁1
世界上任何一个发达城市,都有小摊小贩,不管是纽约、东京还是巴黎,我们总能看到有人摆摊。在更方便满足人们生活、提供谋生空间的同时,如何引导出更有秩序、更加安全的“街头商业”,是中国城市管理者需要考虑的问题。 🔗 风声OPINION|城管持械殴打商贩:这个职业欠了一次转型
❤3
大家知道钟睒睒先生的央视访谈,其实最大的看点是什么吗?不是什么平台不平台的。而是,两年前被全网猎巫、强加很多无厘头罪名的一个老板,现在可以在主流媒体侃侃而谈了。并且说的内容不是感激、感谢,是可以发表犀利意见,讲个人利益诉求了。这才是真正的看….. 🔗 六神磊磊读金庸|钟睒睒先生的农夫三拳,狠起来自己都打
2023年,一档现象级播客“独树不成林”诞生,主播仲树——一位20多岁的女性学者以几乎前所未有的“狂人”姿态出现在公共领域。在公共说理退场的当下,她谈论社会正义和理性判断,强调“想大声思考每一个严肃的人都会关心的问题”。 🔗 新周刊|采访诺兰火遍外网后,仲树说自己随时准备退网
🤡10👍1
有一件事应该是明确的,天下苦中间商久矣,苦的是没有用的中间商,苦的是霸权中间商,但还有很多中间商是打不掉的,是不能打掉的。明明是拧开水龙头就能喝的水,偏偏中间多了个搬运工,还搬运成了全国首富,这个中间商的存在就是不合理的。 🔗 新新新默存|王五四 :这届首富不行
🤡4❤1
【404知识问答】📰 中国数字时代此前公开了“乐视网718条审查指令与 31910条审核词库”,其中包含大量涉习禁令、禁词。近年来与习近平相关的网梗更是层出不穷。下面这一长串词条里,只有 1 个与习近平无关。请问哪一个不是“近平梗”? 🅐 翻烧饼 🅑 242 🅒 徐敬培 🅓 散财童子 🅔 撒胡椒面 🅕 白贤祐 🅖 戳力奋发 🅗 莫名其妙 🅘 那啥啥啥 🅙 致知了 🅚 赵王回车 🅛 皮尔王 🅜 1/3+1/5=2/8 🅝 2952 🅞 贵族气质 🅟学远凸 🅠香蕉文件
Showing the 12 most recent of 84 posts we hold for @cdtchinesefeed. 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.
Citation-graph rank
Citation-graph rank — 51,274 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@weinidaohang · 61219 posts醒前消息 Le Rêve Lucide
@LeReveLucide · 21911 posts猫体剑舞连
@nekobroadcast · 7344 posts恶俗新闻 📰 Esu News
@esuNews · 4143 posts简中赛博坟场
@cybergraveyardcn · 16,0552 posts吃葡萄不吐西瓜皮
@jgj659 · 52 posts笨蛋不是笨蛋
@BDovo_Pro · 4241 post正人君子
@HercDaily · 181 post树洞频道
@shudongcomin · 8,4911 post电报中文频道
@tgcn123 · 5,2111 post
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 3 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.
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.
@tnews365 · 156,398
Telegram ranks this channel #56 of 59 here — alongside 58 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | China Digital Times |
|---|---|
| Description | US-based news site covering China |
| X / Twitter | @cdtchinese |
| YouTube | UCwXewCWwaK1-yec8niJLrqg |
| Official site | https://chinadigitaltimes.net/ |
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“中国数字时代” (@cdtchinesefeed), 42,184 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cdtchinesefeed.
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.