这就要提到著名的拉弗曲线....简单的说,税收过高,企业死掉了,反而收不到税了。不管叫什么名字,不管是什么机制,钱都是被收走了,所以,社保对企业来说,就是一种税。经济不好的时候,应该减税,这本应该是一个常识。 🔗 常识和洞见|社保找人,也要考虑当下的就业背景

Channel
中国数字时代
@cdtchinesefeed
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry
51,217subscribers
+8,677 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 | 22 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/cdtchinesefeed |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Oct 2026, 09:49 | 51,217 | -12 |
| 21 Oct 2026, 01:31 | 51,229 | -6 |
| 19 Oct 2026, 22:28 | 51,235 | +16 |
| 18 Oct 2026, 19:30 | 51,219 | +2 |
| 17 Oct 2026, 19:38 | 51,217 | +13 |
| 16 Oct 2026, 16:38 | 51,204 | -9 |
| 15 Oct 2026, 14:41 | 51,213 | +21 |
| 14 Oct 2026, 16:16 | 51,192 | +30 |
| 13 Oct 2026, 03:01 | 51,162 | +93 |
| 8 Oct 2026, 18:38 | 51,069 | -22 |
| 4 Oct 2026, 05:00 | 51,091 | +6,933 |
| 25 Sept 2026, 14:18 | 44,158 | -71 |
| 19 Sept 2026, 03:41 | 44,229 | -6 |
| 16 Sept 2026, 19:20 | 44,235 | -2 |
| 15 Sept 2026, 01:39 | 44,237 | +17 |
| 13 Sept 2026, 09:16 | 44,220 | +1,150 |
| 11 Sept 2026, 10:38 | 43,070 | +849 |
| 8 Sept 2026, 17:20 | 42,221 | +324 |
| 5 Sept 2026, 13:59 | 41,897 | -8 |
| 3 Sept 2026, 16:21 | 41,905 | first reading |
Engagement
642 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 149 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.94%
- avg views ÷ 51,217 subscribers
- Avg views / post
- 2,020
- 224 posts measured
- Reaction rate
- 0.324%
- reactions ÷ views · ER floor
- Posts in window
- 224
- of 642 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 191 of 224 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 642 (3 August 2026 – 22 October 2026) |
| Views total | 452,289 |
| Reactions total | 1,283 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Oct 2026, 14:59 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
- ≈4,520
- Videos
- ≈7
- Links
- ≈21,200
Lifetime counters from Telegram’s own channel header, read 22 October 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
3,902 reactions across 477 posts, in 46 distinct kinds. The most used accounts for 21.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 825 | 21.1% | |
| ❤ | 723 | 18.5% | |
| 🤡 | 583 | 14.9% | |
| 😁 | 362 | 9.28% | |
| 🤣 | 246 | 6.30% | |
| 🤮 | 196 | 5.02% | |
| 🤬 | 189 | 4.84% | |
| 😢 | 84 | 2.15% | |
| ✍ | 76 | 1.95% | |
| 🫡 | 66 | 1.69% | |
| 👏 | 63 | 1.61% | |
| 🔥 | 60 | 1.54% | |
| 🙏 | 56 | 1.44% | |
| 🌚 | 39 | 0.999% | |
| 🥰 | 39 | 0.999% | |
| 💯 | 30 | 0.769% | |
| ❤🔥 | 29 | 0.743% | |
| ☃ | 28 | 0.718% | |
| 😱 | 26 | 0.666% | |
| 🍾 | 24 | 0.615% | |
| 26 further kinds | 158 | 4.05% |
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 533 of the 642 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 3,985 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 642 most recent posts we hold, published 3 August 2026 to 22 October 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
很多人第一反应是,会不会和他有参与的三年前的万载锂矿污染调查有关。 🔗 【404文库】情况相当复杂|刚刚知名环保志愿者被跨省抓捕。我们现在替他征个婚
总之,现在避税的手段,几乎都被堵死了,资金跑路的速度,可能也赶不上税务局查账的速度。不过话说回来,离岸信托本身不是原罪,它依然有隔离债务、保护继承人、防止婚变的正经用途。只是过去“拿到境外就不用交税”的潜规则,确实要画上句号了。 🔗 木蹊说|90天大限已到:中国离岸富豪,开始补税了
本文是中国民间环保志愿者张文斌(公众号“零距离污染特工队”运营者)于 2023 年发表的一篇环境监督调查报道。张文斌据信日前被江西宜春万载县公安部门从新疆乌鲁木齐“跨省”带走。 🔗 零距离污染特攻队|宜春锂矿污染事件环保风暴后,一大厂仍不整改
2022年10月21日,有网友就前苏联为何在芯片领域完败于美国提出疑问,随后沿着这一问题追溯各种历史原因。该文将两国形成的差距归结为有没有根植于市场,并认为背后的根本问题是“是否尊重人的本身需求”。 🔗 【历史上的404】有网友发现关于芯片的一个历史内幕了(2022年10月21日)
👍4🥴1
中国数字时代 · 一周推荐 (2026年10月15日–10月22日) 文章快速直达 → w.cdt.media ▍推荐阅读 • 【CDT周报】第286期:你没有收入,不重要;你不交社保!对我很重要! • 【CDT报告汇】卡特中心:中国民众普遍视美国为安全威胁,但多数仍支持中美合作(外二篇) • 【CDT调查】孙悟空与六耳猕猴:同一个图标下的微信与 WeChat ▍404文库 • 【404文库】追月数星的朋友圈|前调查记者付松举报国家天文台用“中国天眼”违法牟利后,遭政法委调查,朋友被警察上门盘问 • 【404文库】法与情|涉黑案开审中,审判长落马了 • 【404文库】基本常识项栋梁|对懂车帝的反扑正汹涌而来,不惜颠倒黑白 • 【404文库】大话刑辩REAL|重庆打黑警察熊峰转行为刑辩律师 • 【历史上的404】你认为中国现在面临的根本问题是什么?(2023年10月20日) • 【历史上的404】花一个月抓怪鱼的汝州,为什么…
熟悉张文斌的人都知道,他运营着“零距离污染特工队”公众号,常年奔赴各地实地调研,拍摄、记录污染线索,公开发文曝光环境问题,推动污染整改。有据可查的是,该公众号在2023年发布过江西宜春万载县相关污染问题的报道,聚焦当地企业的环境隐患。 🔗 绿水青山调研团|环保志愿者张文斌被万载警方带走调查,曾多次曝光当地污染,案件引发行业关注
说是新片,但这部片子在6年前就拍好了。讲的是疫情爆发武汉封城的故事。怎么当时拍好了不拿出来放啊。我也是没想到在疫情还没结束的时候,就有人在拍电影。6年前,疫情还没结束,那个时候放这样的影片不是更合适吗?在疫情结束后,怎么不马上拿出来上映呢?….. 🔗 历史押韵|刘德华的新片《白衣逆行者》即将上映,我绝不会去看
👍6🤡3🆒2
这两年,一个个螺丝钉出现在短视频里,面临被拔除的命运。拔钉子的,是一群公益博主。他们是一群中年男性,主业开水果店、开服装店,有空了就骑着电瓶车,满大街拔钉子。有的钉子是城市建设、改造时的施工遗留,有的是核酸检测亭撤销后留下的,还有的是设施老….. 🔗 极昼工作室|城市里的钉子,拔还是不拔?
❤3
2012年,广东清远93岁的吕家秀婆婆“听说”原先未参保的集体企业退休人员可以一次性补缴社保,进而享受退休待遇,于是她让儿女们帮着补缴了15年共4万多元费用。根据当时的社保规定,吕婆婆当年就可以开始领取每月700多元的养老金。 🔗 建设性意见|93岁补缴社保的吕婆婆,102岁时已翻倍赚回
🤡4
今天看到一个新闻真是把人看笑了,根据多家媒体报道,日本年轻人取消吃饭了。 人是铁,饭是钢,一顿不吃饿得慌,难道是日本年轻人要修仙了吗?还取消吃饭。 🔗 历史押韵|日本年轻人取消吃饭?我看是媒体取消了底线
🤡6❤2
辖区领导的电话就来了,问我做了什么事,“接到政法委电话,对你进行调度。”我问:“什么叫调度?”领导说:“就是了解你的情况。” 🔗 【404文库】追月数星的朋友圈|前调查记者付松举报国家天文台用“中国天眼”违法牟利后,遭政法委调查,朋友被警察上门盘问
❤4
Showing the 12 most recent of 642 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 · 58719 posts醒前消息 Le Rêve Lucide
@LeReveLucide · 21211 posts猫体剑舞连
@nekobroadcast · 7344 posts恶俗新闻 📰 Esu News
@esuNews · 4033 posts简中赛博坟场
@cybergraveyardcn · 15,6362 posts吃葡萄不吐西瓜皮
@jgj659 · 52 posts笨蛋不是笨蛋
@BDovo_Pro · 4151 post正人君子
@HercDaily · 181 post树洞频道
@shudongcomin · 8,2471 post电报中文频道
@tgcn123 · 5,0191 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 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.
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 · 286,702#1
@solidot · 47,715#2
@CE_Observe · 76,396#3
@iyouport · 27,648#4
@NewlearnerChannel · 67,873#5
@XueXi_China · 86,709#6
@titan_pain · 20,789#7
@personal_hub · 11,578#8
@OutsightChina · 41,592#9
@fucku_idiot · 41,189#10
@theinitium_rss · 12,947#11
@times001 · 84,450#12
@mightyflame · 25,635#13
@NeverForgetNews · 2,248#14
@mtfront · 4,945#15
@acgdaily · 17,043#16
@weekly_books · 38,180#17
@kejiqu · 36,651#18
@niuyueshibao_rss · 34,247#19
@NewWorldObservationLog · 7,014#20
@cdt404notfound · 4,678#21
@yitianshijie · 6,112#22
@abskoop · 304,744#23
@pingrangTV · 29,303#24
@DBinKBB · 2,307#25
@xhqcankao · 165,765#26
@tnews365 · 165,331#27
@DNSPODT · 72,815#28
@GodlyNews1 · 70,196#29
@douban_read · 35,578#30
@outvivid · 9,165#31
@appdopic · 16,730#32
@vps_xhq · 50,298#33
@lilaoshibushinilaoshi · 48,903#34
@landiansub · 46,132#35
@sohadays · 4,789#36
@jike_collection · 35,835#37
@sspai · 38,698#38
@KarenMoeMoe · 9,377#39
@rvalue_daily · 8,630#40
@buzhouxiansheng · 6,869#41
@cnbeta_com · 27,480#42
@AppleNuts · 37,689#43
@LetITFlyW · 9,652#44
@jandan_pic · 25,327#45
@bluebird_channel · 7,948#46
@AppDoDo · 40,861#47
@iBreaking · 3,233#48
@JISFW · 12,832#49
@FoolishTraceWind · 16,687#50
@causmoney · 8,921#51
@projectXtls · 30,018#52
@caozsay · 13,383#53
@appinnfeed · 34,364#54
@gebaopiCloud · 101,207#55
@FinanceNewsDaily · 58,655#56
@Hearse_Drifting · 10,694#57
@kt_database · 9,013#58
@MlgmXyysd_bibilailai · 22,133#59
@theinitiumnews · 17,441#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.
@VoiceofPooh · 22,322
Telegram ranks this channel #7 of 53 here — alongside 52 others — read 20 September 2026
@OutsightChina · 41,592
Telegram ranks this channel #7 of 58 here — alongside 57 others — read 29 August 2026
@voachinese · 41,507
Telegram ranks this channel #11 of 63 here — alongside 62 others — read 3 September 2026
@iyouport · 27,648
Telegram ranks this channel #12 of 55 here — alongside 54 others — read 10 September 2026
@mightyflame · 25,635
Telegram ranks this channel #13 of 42 here — alongside 41 others — read 13 September 2026
@times001 · 84,450
Telegram ranks this channel #17 of 66 here — alongside 65 others — read 18 August 2026
@XueXi_China · 86,709
Telegram ranks this channel #22 of 48 here — alongside 47 others — read 17 August 2026
@Ruters0615 · 25,278
Telegram ranks this channel #27 of 40 here — alongside 39 others — read 14 September 2026
@kejiqu · 36,651
Telegram ranks this channel #29 of 48 here — alongside 47 others — read 1 September 2026
@lilaoshibushinilaoshi · 48,903
Telegram ranks this channel #30 of 60 here — alongside 59 others — read 26 August 2026
@freechinese · 27,679
Telegram ranks this channel #32 of 55 here — alongside 54 others — read 10 September 2026
@TimeHorizonX · 20,962
Telegram ranks this channel #39 of 54 here — alongside 53 others — read 25 September 2026
@pelosi3 · 71,940
Telegram ranks this channel #43 of 51 here — alongside 50 others — read 20 August 2026
@jike_collection · 35,835
Telegram ranks this channel #45 of 48 here — alongside 47 others — read 2 September 2026
@endofxi · 21,758
Telegram ranks this channel #48 of 49 here — alongside 48 others — read 23 September 2026
@tnews365 · 165,331
Telegram ranks this channel #56 of 59 here — alongside 58 others — read 12 August 2026
@FinanceNewsDaily · 58,655
Telegram ranks this channel #59 of 60 here — alongside 59 others — read 24 August 2026
This channel appears in 17 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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“中国数字时代” (@cdtchinesefeed), 51,217 subscribers as measured 22 October 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.