Telegram RegisterThe public register of Telegram

Channel

换新天:东风新闻频道

@Communism1976

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,469subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002183068015
TypeChannel
Username@Communism1976
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Communism1976

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DFMLMeditorial/54710 May 2026, 15:15 UTC@Communism1976/2390 · this entry10 May 2026, 15:16 UTC1.00under a minute
@DFMLMeditorial/54925 May 2026, 12:29 UTC@Communism1976/2393 · this entry25 May 2026, 12:29 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DFMLMeditorial14 (8/8 hand-verifiable sample passed)1.00under a minute@DFMLMeditorial (104)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 2 April 2026 to 31 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @DFMLMeditorial. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

1,4681,4701,4697 August 2026 — 1,470 subscribers7 August 2026 — 1,470 subscribers8 August 2026 — 1,468 subscribers10 August 2026 — 1,469 subscribers7 August 202610 August 2026
4 measurements spanning 3 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,468–1,470 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 21:131,469+1
8 Aug 2026, 01:331,468-2
7 Aug 2026, 21:481,470no change
7 Aug 2026, 14:171,470first reading

Engagement

20 posts held, back to 2 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.71%
avg views ÷ 1,469 subscribers
Avg views / post
128
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 July 2026
Posts held20 (2 April 202631 July 2026)
Views total128
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:48 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.

Reaction mix

194 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 38.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7438.1%
👎4221.6%
🤣2311.9%
😁189.28%
🤡168.25%
🤮168.25%
31.55%
💊10.515%
🖕10.515%

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 16 of the 20 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 194reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 2 April 2026 to 31 July 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

31 Jul 2026, 15:59 UTC128 viewsread 7 August 2026
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《反杜林论》讲义 第五课:第一编第十章至十四章 【编者按】 第十至十四章是《反杜林论》哲学部分的收束,也是恩格斯系统阐述马克思主义哲学的重要部分。恩格斯在批判杜林抽象道德、永恒法权和形而上学思想的基础上,深入论述了平等、自由与必然等问题,进一步系统阐明了辩证法的基本规律——对立统一、质量互变和否定之否定,并将其与历史唯物主义结合起来,说明道德、法律、平等和自由都植根于一定的社会历史条件,最终确立了辩证唯物主义和历史唯物主义的基本世界观与方法论,为我们理解马克思主义哲学奠定了理论基础。 #反杜林论讲义 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东风-马列毛主义评论; 电报频道2:东风-马列毛文献资料库; 电报频道3:东风-换新天档案馆 联系管理员填写google问卷,可参与频道、讨

9 Jul 2026, 12:44 UTC704 views9 reactionsread 7 August 2026
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《反杜林论》讲义 第四课:第一编第七、八、九章 【编者按】 这几章是自然哲学部分最后的内容,充分讨论了生命、进化等自然科学问题,以及人类的认识与道德发展。由于写作于19世纪,其中涉及的一些具体科学知识已经随着现代科学的发展而更新。但恩格斯写作这些章节的目的,并不是编写自然科学教材,而是借助当时最前沿的科学成果,批判杜林的唯心主义自然观,论证辩证唯物主义关于自然界发展的基本观点。 如果说之前几章讨论的是时间、空间、运动等一般自然规律,那么这几章是为了进一步回答:生命是如何产生的?生命是如何进化的?人的认识与道德是如何发展的?恩格斯希望说明,无论是生命还是人类社会,都不是由某种先验观念或神秘力量所支配,而是遵循物质世界自身的发展规律。 #反杜林论讲义 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电

🤡8👍1

7 Jul 2026, 06:59 UTC366 views9 reactionsread 7 August 2026
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俄国历史运动中的第一个机会主义派别 【编者按】 唯物辩证法认为,内因是事物发展的根本原因。一个马克思主义革命政党在发展过程中,必然伴随着正确路线与错误路线的斗争。当马克思主义在沙俄逐步传播与发展时,机会主义也随之滋生。作为俄国社会民主运动中出现的第一个机会主义派别,“经济派”极具迷惑性,它蒙蔽了当时理论水平尚浅、却对工人运动满怀热情的青年,企图将俄国革命运动引向倒退方向 。如果对“经济派”的理解仅仅停留在“只搞经济斗争,不搞政治斗争”这一表面现象上,未免流于浅薄。今天,我们必须从俄国革命史的整体进程中,深刻认清过去机会主义的本质,明确我们当前运动的纲领与任务,从而切实防止当下的“小组实践”滑落到当年的机会主义泥潭中去。 #列宁全集导读 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东

🤡7👍2

27 Jun 2026, 13:59 UTC436 views10 reactionsread 7 August 2026
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《反杜林论》讲义 第三课:第一编第六章 这篇恩格斯虽然讨论的是天文学、物理学和化学中的具体问题,但真正批判的对象并非某一项自然科学理论,而是杜林隐藏在这些理论背后的形而上学世界观。 在天体演化学中,杜林企图为宇宙寻找一个绝对静止、永恒不变的起点,而恩格斯则肯定康德星云假说打破了“自然界没有历史”的旧观念,指出宇宙的发展没有绝对开端,而是一个无限发展的历史过程。在物理学中,杜林将静止视为常态,把运动看作外在附加,由此无法解释运动的起源;恩格斯则坚持“运动是物质的存在方式”,认为静止只是运动中的相对平衡,从根本上否定了“第一推动力”的神学逻辑。在化学中,杜林把已有的守恒思想包装成自己的“终极真理”,并赋予其永恒不变的地位;恩格斯则强调,科学规律来源于实践,并随着实践的发展不断深化,科学本身是一个不断发展的认识过程,而不是一套一劳永逸的教条。 因此,这几章表面上讨论的是自然科学问题,实质上却是唯物辩证法与形而上学两种世界观的交锋。

👎6👍2🖕1😁1

18 Jun 2026, 13:58 UTC425 views13 reactionsread 7 August 2026
Forwarded from @DFMLMeditorialPhoto

我们的共识(八):关于手段、目的、原则 本文直击当前左翼圈层深陷“实践空转”的组织危机,指出在晚期资本主义社会高度原子化与传媒平台垄断的结构性条件下,政治参与极易退化为追求即时反馈的低成本文化消费。文章深刻剖析了“手段反向塑造目的”的运作机制:当松散团体以迎合流量、情绪动员或仪式化的短期融工作为组织生存的手段时,这种工具便会自动生成一套排斥长期积累的激励机制。在这一框架内,为了维持日常活跃度与规模扩张,组织结构必然向短视的利益妥协,最终使得维持团体存在的现实需求彻底吞噬了阶级解放的根本目的。这种现象绝非单纯的策略失误,而是小资产阶级自发性对无产阶级集中制原则的结构性消解。 面对革命政党所需的严密纪律与参与主体逃避长期责任之间的核心矛盾,文章重申了列宁关于组织边界与党员资格的铁律。真正的政治实践无法在缺乏约束的同好小组中自然孕育,必须依托明确的原则限制手段的无序扩张。破局的必然推演在于,只有摒弃对自发性的浪漫化幻想,将抽象的主义

👍7👎51

10 Jun 2026, 16:32 UTC449 views18 reactionsread 7 August 2026
Forwarded from @DFMLMeditorialPhoto

垃圾时间的价值:革命前的革命者如何自处 这篇文章是“换新天”与“革命火炬停滞派”斗争后的总结文章。回顾2024年与革命火炬“停滞派”的路线斗争,并结合今晚社群内部发生的最新“闹剧”,我们再次证明了恩格斯在《反杜林论》中的唯物主义论断:“决不能从道德情感出发去对待革命事业。” 无论是彼时革命火炬停滞派的溃散;还是今日“反面教员”的荒诞行径,其本质是行动主体在脱离具体阶级实践后,试图以主观道德激情、虚名或悲情叙事替代科学组织建设。 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东风-马列毛主义评论; 电报频道2:东风-马列毛文献资料库; 电报频道3:东风-换新天档案馆 联系管理员填写google问卷,可参与频道、讨论群管理。欢迎给频道线上投稿,发给频道公邮(DFmlmist@proton

🤮11👍6😁1

27 May 2026, 16:27 UTC575 views16 reactionsread 7 August 2026
Forwarded from @DFMLMeditorialPhoto

我们的共识(七):党费的若干问题 编者按 谈论理想时,我们往往羞于谈钱,但历史唯物主义要求我们直面冰冷的现实:经费绝不是中性的资源,而是最根本的结构性约束。资金的来源与管理方式,实质上反向规定了组织的形态与政治路线。 本文回顾了早期布党与中共的筹资历史,揭示了一个核心真相:财政基础决定政治自主性。依赖外部输血易导致路线依附,资金极度匮乏则容易催生短视的投机主义。更值得警惕的是,在现代金融语境下,资本正通过平台化、项目制等隐蔽的“资金循环”规则,悄然将组织驯化为无害的改良主义附庸。 抛开财务独立谈政治独立,无异于纸上谈兵。希望本文能打破同志们对经费问题的道德洁癖,促使大家将“钱从哪来、怎么管”真正提升到关系组织生死存亡的战略高度去审视与破解。 我们的共识(一) 我们的共识(二) 我们的共识(三) 我们的共识(四) 我们的共识(五) 我们的共识(六) ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿

😁9👍42💊1

25 May 2026, 12:29 UTC600 views8 reactionsread 7 August 2026
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《列宁全集》导读(增补篇):概念的澄明与路线的纠偏 编者按: 这期理论导读是对导读一、二的补充与完善。在导读一、二的撰写过程中,笔者没有对诸多概念进行严格界定,导致行文松散、架构不够明晰。这样的文章难以承担导读工作的重任。阅读理论文章,如果想要明确每篇文章的意有所指,搞清楚导师们针对不同问题所提出的原则与具体策略,就必须对原文中的概念有清晰的把握。我们所做的并非是要说明“茴香豆的茴有几种写法”,而是要明确具体问题,以便能够采取正确的行动。同时,只有把握了理论中对概念的界定,才能够较为容易地识别出某些机会主义者如何歪曲理论中的词句与概念,为其盲目行为开脱,这一点在当代运动中是非常普遍的现象。下文将围绕经济鼓动与政治鼓动、宣传、斗争以及政治自由之间的关系展开论述。 #列宁全集导读 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/don

👎5👍3

23 May 2026, 15:06 UTC442 views10 reactionsread 7 August 2026
Forwarded from @DFMLMeditorialPhoto

《反杜林论》讲义“第一课:背景、前言及第一编第一章” 【编者按】 欢迎阅读《反杜林论》讲义第一课。 经典著作的生命力,绝不在于将其奉为脱离现实的空洞教条,而在于在具体的历史语境与客观分析中重新发现唯物辩证法。本文作为系列讲义的开篇,不仅带领我们回溯了十九世纪中后期第二次工业革命的时代浪潮,更一针见血地剖析了恩格斯提笔迎战杜林及其“先验主义”的历史必然性。 尤为值得称道的是,本讲义并未止步于对故纸堆的梳理,而是展现了马克思主义理论联系实际的强大战斗力。作者以批判杜林关于“纯数学”的唯心主义观点为切入点,锋芒直指现代西方科学哲学中极具影响力和迷惑性的卡尔·波普尔“证伪主义”。通过剥丝抽茧的辩证分析,文章有力地揭示了一个事实:任何理论——包括波普尔的理论自身——都不过是现实世界运作规律在人脑中的历史性反映,终究要在与客观现实的矛盾中走向“否定之否定”。 恩格斯曾告诫我们:“事情不在于把辩证法规律硬塞进自然界,而在于从自然界中找出这些规

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10 May 2026, 15:16 UTC689 views7 reactionsread 7 August 2026
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列宁全集导读二:驳“唯融工论”——当代经济派的理论破产与我们的首要任务 编者按:上次我们阐明了经济斗争和政治斗争的关系,但对政治斗争的论述尚不够深入。实际上:政治斗争不止有政治鼓动还涵盖了科学分析与组织建设。为此,我们整理并总结了《列宁全集》有关组织建设的文章,力求进一步阐明政治斗争在组织建设层面的内涵,并澄清相关误区。 我们必须明白,没有革命的理论,就没有革命的行动。只靠机械照搬马列毛原著里的只言片语,而不把握马列毛理论的精神实质是理论上的教条主义与实践上的经验主义,更是在重复列宁时期机会主义的逻辑。 #列宁全集导读 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东风-马列毛主义评论; 电报频道2:东风-马列毛文献资料库; 电报频道3:东风-换新天档案馆 联系管理员填写googl

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4 May 2026, 07:41 UTC692 views4 reactionsread 7 August 2026
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列宁全集导读(一)重谈经济鼓动与政治鼓动 编者按: 经过长期的实践与观察,我们发现自身以及过去的许多马列毛主义小组虽然打着马列毛的旗号,说着马列毛的话语,却因为根本没有把马列毛主义内化于自身。这就导致其根本没有进入马列毛主义运动逻辑之中。在这种情况下,我们在实践中就不可避免的走上了民粹派、经济派的道路。对于这种实践上长期的停滞,路线的偏移,我们必须从实事求是的角度出发,去克服这种长期、反复、形左实右的实践。现在,东风的同志强调系统性理论学习的重要性,以《列宁全集》为出发点和抓手,重新认识革命的理论与实践。这一系列文章旨在说明东风小组对诸多革命问题的观点并以此来鼓励组织外的同志系统性地研读理论原著。 ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东风-马列毛主义评论; 电报频道2:东风

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28 Apr 2026, 05:56 UTC605 views20 reactionsread 7 August 2026
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我们的批判者有点可爱 本文是我们对云水怒及另一位批判家的最后一次回应,无视摆在眼前的聊天记录事实,又在各种曲解我们的文章。在他们的表述中,先锋队的先锋性,纪律,集中全部抛开,将需要的标准给道德化,自由化。人民这个词被抽象化,内部没有先进落后之分,先锋队的内部没有一个评判标准,那么这样的先锋队还是列宁说的先锋队吗?这样的先锋队能成功带领群众革命吗?革命对于你们来说又是什么? ———————————————————— ☭东风-马列毛学习交流群☭ 上电报群找愿意用实际行动参与革命的真同志 电报群: https://t.me/dongfengmaliemao 电报频道1:东风-马列毛主义评论; 电报频道2:东风-马列毛文献资料库; 电报频道3:东风-换新天档案馆 联系管理员填写google问卷,可参与频道、讨论群管理。欢迎给频道线上投稿,发给频道公邮(DFmlmist@proton.me) 也可通过机器人联系我们和投稿:东风机器人

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Showing the 12 most recent of 20 posts we hold for @Communism1976. 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 — 40,711 of 1,151,006entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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

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 August 2026 — this entry's latest reading, not the date you are reading this.

“换新天:东风新闻频道” (@Communism1976), 1,469 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Communism1976.

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.