佩蒂斯估计,在2001年至2010年金融抑制最严重的时期,这种收入转移每年最高可能相当于GDP的5%。换言之,中国家庭实际上通过储蓄承担了一种隐形税,并在十年间悄然帮助银行体系完成资本重建。 🔗 【CDT报告汇】卡内基学者:中国上轮债务危机由普通家庭“买单”,如今旧办法难以为继(外二篇)

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
41,897subscribers
-643 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 | 5 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/cdtchinesefeed |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 13:59 | 41,897 | -8 |
| 3 Sept 2026, 16:21 | 41,905 | -1 |
| 2 Sept 2026, 11:04 | 41,906 | -1 |
| 1 Sept 2026, 12:26 | 41,907 | -9 |
| 31 Aug 2026, 14:09 | 41,916 | -5 |
| 30 Aug 2026, 15:43 | 41,921 | -17 |
| 29 Aug 2026, 16:43 | 41,938 | -14 |
| 28 Aug 2026, 19:46 | 41,952 | -7 |
| 27 Aug 2026, 23:17 | 41,959 | -25 |
| 27 Aug 2026, 00:35 | 41,984 | -29 |
| 25 Aug 2026, 22:23 | 42,013 | -6 |
| 24 Aug 2026, 21:07 | 42,019 | -16 |
| 23 Aug 2026, 10:17 | 42,035 | -13 |
| 22 Aug 2026, 00:57 | 42,048 | -8 |
| 20 Aug 2026, 19:18 | 42,056 | -29 |
| 19 Aug 2026, 19:33 | 42,085 | +1 |
| 18 Aug 2026, 17:04 | 42,084 | -15 |
| 17 Aug 2026, 15:28 | 42,099 | -49 |
| 16 Aug 2026, 07:28 | 42,148 | -5 |
| 14 Aug 2026, 21:54 | 42,153 | first reading |
Engagement
295 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 64 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.17%
- avg views ÷ 41,897 subscribers
- Avg views / post
- 1,330
- 260 posts measured
- Reaction rate
- 0.592%
- reactions ÷ views · ER floor
- Posts in window
- 260
- of 295 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 207 of 260 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 September 2026 |
|---|---|
| Posts held | 295 (3 August 2026 – 6 September 2026) |
| Views total | 345,474 |
| Reactions total | 1,671 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Sept 2026, 11:12 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
- ≈4,160
- Videos
- ≈7
- Links
- ≈20,900
Lifetime counters from Telegram’s own channel header, read 6 September 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
1,822 reactions across 200 posts, in 34 distinct kinds. The most used accounts for 23.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 432 | 23.7% | |
| ❤ | 349 | 19.2% | |
| 🤡 | 314 | 17.2% | |
| 😁 | 180 | 9.88% | |
| 🤮 | 89 | 4.88% | |
| 🤣 | 88 | 4.83% | |
| 🤬 | 53 | 2.91% | |
| 👏 | 36 | 1.98% | |
| 🫡 | 35 | 1.92% | |
| 🙏 | 31 | 1.70% | |
| ❤🔥 | 24 | 1.32% | |
| 🥰 | 24 | 1.32% | |
| 🔥 | 22 | 1.21% | |
| 🌚 | 19 | 1.04% | |
| ✍ | 17 | 0.933% | |
| 🤓 | 15 | 0.823% | |
| ☃ | 12 | 0.659% | |
| 🍾 | 12 | 0.659% | |
| 😐 | 8 | 0.439% | |
| 😢 | 8 | 0.439% | |
| 14 further kinds | 54 | 2.96% |
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 235 of the 295 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 1,905 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 295 most recent posts we hold, published 3 August 2026 to 6 September 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
低价秩序,建立在隐蔽的支付转移之上:劳工少拿的工资,变成了城市生活的廉价便利;储户几近于零的实际回报,变成了那些本该退出却仍在生产的产能;家庭默默扛下的医疗、育儿和养老,变成了企业和地方今天不必入账的成本。 🔗 青年志Youthology|低价经济学:便宜的日常,昂贵的人生
👏2
他们想说点什么,马上就会被一帮人骂“老是传播负能量”。可是,这些人从来没想过“正能量”一词是怎么来的。 🔗 笛卡尔的沉思|所有不听话的“异类”,似乎都不适合在此地生长
唉,一百三十年了,什么时候才能不靠"洋大人"啊。"告洋状"这三个字,扎心就扎在它的历史耻辱柱上。这个词不是今天造的,最早来源于晚清时期。 🔗 陌刀七十万|从星宇股份“告洋状”事件看那一百三十年没修好的路
🌚2❤1👍1
居民“不再贷款买房”, 这并不是资金从中退出, 而是表明财富管理模式, 从地产驱动朝着金融资产驱动发生转变。不过, 这是一条漫长的路, 还是一条充满阵痛延续的路。 🔗 TOP行业报告|半年净还债3668亿:居民的负债问题,比想象中严重
👍2
每日一语 2026.9.4
✍6👏3
毕竟规则之下,恶才能博取利益。事实上就是这样,在这个社会,打破规则的人都能获得利益,去做坏事如果大家都不在意,信誉啥的,道德啥的,人品啥的,反正七天大家就都忘记了,那么还要信誉和道德有什么用? 🔗 木白文笔平平|河北邯郸郭局长事件,满月了!
当初学生们找劳动监察时,这个作者在哪?当初学生们找12345时,这个作者又在哪?当初这些学生们陷入无助绝望时,不知道这个作者又在干嘛? 🔗 末名先生|星宇股份“告洋状”事件中,最无耻的一幕出现了
🤬5
十五五”时期,要把新就业群体纳入全民健身服务范围,推动在工作场所、休息站点配建便捷的健身设施。 🔗 【立此存照】【404文库】新京报|体育总局答新京报:推动在外卖、快递小哥休息站点配建健身设施
中尼边境突发特大泥石流灾害已有超过4000人的下落仍然未知。他们中有在水电站工作的工人,有往返中尼边境的商人,也有前往西藏旅行的游客。灾害发生后的几天里,道路中断、通信受损,他们的家人,还在焦虑地等待消息。 🔗 【CDT关注】水瓶纪元|泥石流后,消失在吉隆口岸的人
这是中文互联网史上最不真诚的一次嘴仗。相比之下,孙宇晨和胡锡进之掰头,则是非常少见、滑稽、诡异的。对于论题本身,他们都毫不在乎,却拼命假装在乎。 🔗 六神磊磊读金庸|孙宇晨和胡锡进:互联网史上最不真诚的一次嘴仗
整个链条摆出来:车企拖星宇的账期,星宇裁自己的应届生,应届生捅金主的监管,金主回头敲打星宇,当地两头哄。 🔗 功夫财经|星宇吃相太难看,连人民日报都看不下去了
❤1
Showing the 12 most recent of 295 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@weinidaohang · 60219 posts醒前消息 Le Rêve Lucide
@LeReveLucide · 21611 posts猫体剑舞连
@nekobroadcast · 7294 posts恶俗新闻 📰 Esu News
@esuNews · 4113 posts简中赛博坟场
@cybergraveyardcn · 15,9162 posts吃葡萄不吐西瓜皮
@jgj659 · 52 posts笨蛋不是笨蛋
@BDovo_Pro · 4191 post正人君子
@HercDaily · 181 post树洞频道
@shudongcomin · 8,4111 post电报中文频道
@tgcn123 · 5,1571 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 4 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.
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.
@zaihuapd · 280,522#1
@solidot · 44,617#2
@CE_Observe · 74,118#3
@iyouport · 27,871#4
@NewlearnerChannel · 67,021#5
@XueXi_China · 87,435#6
@titan_pain · 20,712#7
@personal_hub · 11,607#8
@OutsightChina · 41,194#9
@fucku_idiot · 40,084#10
@theinitium_rss · 13,156#11
@times001 · 85,021#12
@mightyflame · 26,256#13
@NeverForgetNews · 2,303#14
@mtfront · 4,914#15
@acgdaily · 16,474#16
@weekly_books · 38,110#17
@kejiqu · 36,422#18
@niuyueshibao_rss · 34,170#19
@NewWorldObservationLog · 6,946#20
@cdt404notfound · 4,660#21
@yitianshijie · 6,185#22
@abskoop · 306,334#23
@pingrangTV · 29,078#24
@DBinKBB · 2,227#25
@xhqcankao · 160,159#26
@tnews365 · 157,592#27
@DNSPODT · 71,413#28
@GodlyNews1 · 68,473#29
@douban_read · 36,347#30
@outvivid · 8,974#31
@appdopic · 16,111#32
@vps_xhq · 49,371#33
@lilaoshibushinilaoshi · 48,287#34
@landiansub · 44,267#35
@sohadays · 4,744#36
@jike_collection · 35,754#37
@sspai · 37,996#38
@KarenMoeMoe · 9,390#39
@rvalue_daily · 8,327#40
@buzhouxiansheng · 6,941#41
@cnbeta_com · 27,583#42
@AppleNuts · 36,847#43
@LetITFlyW · 9,605#44
@jandan_pic · 25,234#45
@bluebird_channel · 7,906#46
@AppDoDo · 40,358#47
@iBreaking · 3,286#48
@JISFW · 12,756#49
@FoolishTraceWind · 16,671#50
@causmoney · 8,639#51
@projectXtls · 29,900#52
@caozsay · 13,415#53
@appinnfeed · 33,028#54
@gebaopiCloud · 100,741#55
@FinanceNewsDaily · 54,648#56
@Hearse_Drifting · 10,474#57
@kt_database · 9,007#58
@MlgmXyysd_bibilailai · 21,582#59
@theinitiumnews · 11,714#60
Read from Telegram’s recommendation API, most recently 29 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.
@OutsightChina · 41,194
Telegram ranks this channel #7 of 58 here — alongside 57 others — read 29 August 2026
@voachinese · 34,636
Telegram ranks this channel #11 of 63 here — alongside 62 others — read 3 September 2026
@times001 · 85,021
Telegram ranks this channel #17 of 66 here — alongside 65 others — read 18 August 2026
@XueXi_China · 87,435
Telegram ranks this channel #22 of 48 here — alongside 47 others — read 17 August 2026
@kejiqu · 36,422
Telegram ranks this channel #29 of 48 here — alongside 47 others — read 1 September 2026
@lilaoshibushinilaoshi · 48,287
Telegram ranks this channel #30 of 60 here — alongside 59 others — read 26 August 2026
@pelosi3 · 70,597
Telegram ranks this channel #43 of 51 here — alongside 50 others — read 20 August 2026
@jike_collection · 35,754
Telegram ranks this channel #45 of 48 here — alongside 47 others — read 2 September 2026
@tnews365 · 157,592
Telegram ranks this channel #56 of 59 here — alongside 58 others — read 12 August 2026
@FinanceNewsDaily · 54,648
Telegram ranks this channel #59 of 60 here — alongside 59 others — read 24 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“中国数字时代” (@cdtchinesefeed), 41,897 subscribers as measured 5 September 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.