反对阵营的战略愿景与定位 关于战略愿景与战略定位有不少人缺乏清晰的理解,我希望以美国民权运动的背景和历史为一个例子,来解释战略愿景与自我定位的问题。若要很好地理解,建议先看《从奴隶到公民》一文。 sulili.net/dingwei
Signed 陸肆黑衫 推特:@64_heishan

Channel
@lunwenji
On this record: Growth · Engagement · Posts · Citations · Cite this entry
475subscribers
-6 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001000274435 |
|---|---|
| Type | Channel |
| Username | @lunwenji |
| Created | Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/lunwenji |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 07:34 | 475 | -3 |
| 24 Aug 2026, 01:42 | 478 | -3 |
| 15 Aug 2026, 08:28 | 481 | no change |
| 14 Aug 2026, 03:35 | 481 | first reading |
20 posts held, back to 23 March 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 11 August 2024. An engagement rate over an empty window would be a number about nothing.
反对阵营的战略愿景与定位 关于战略愿景与战略定位有不少人缺乏清晰的理解,我希望以美国民权运动的背景和历史为一个例子,来解释战略愿景与自我定位的问题。若要很好地理解,建议先看《从奴隶到公民》一文。 sulili.net/dingwei
Signed 陸肆黑衫 推特:@64_heishan
对比:充满私刑恐怖的社会与现今中国(有音频) https://www.sulili.net/lynching.html
Signed 陸肆黑衫 推特:@64_heishan
更正:一个世纪的“奴隶”二字应为“努力”
Signed 陸肆黑衫 推特:@64_heishan
从奴隶到公民 ——非洲裔美国人争取平等权利的历史 本文讲述非洲裔美国人如何通过一个世纪的奴隶而获得平等的公民权的历史,最初于2017年12月发表于本人的电报群“闲聊未来”,自愿者于2018年将分段发表的内容集结成文字版的文章。本文基于该文修改而成。 https://www.sulili.net/african.html
Signed 陸肆黑衫 推特:@64_heishan
https://sulili.net/lianhetiaojian
Signed 陸肆黑衫 推特:@64_heishan
https://twitter.com/3Nos2023/status/1706787213852152264?t=k-JDCidGrmUw2ov2QI7ycQ&s=19
Signed 陸肆黑衫 推特:@64_heishan
政府论译文第三部分 这一部分只有一章——第五章 论财产 这一章是整本著作的灵魂,它是自然状态理论的结论,而自然状态理论是整个自由主义理论的基石。这一章谈到了自由的本质意义,即包括生命、自由和财产在内的财产权(这一点与今天人们以为的身外之物的财产所有权是不一样的),同时讲解了为什么私有制是必须的而且是必然的,同时为财产的不平等辩护,这也就是为马克思所批判的资本主义辩护,另外,它对货币、商品、交换、市场等进行了详细的推理,是人类第一部经济学著作——亚当·斯密的《国富论》的基础。 https://sanbu.weebly.com/3.html
Signed 陸肆黑衫 推特:@64_heishan
政府论译文第二部分 第3章 论战争状态 和第4章 论奴役 https://sanbu.weebly.com/2.html (博客将随后更新)
Signed 陸肆黑衫 推特:@64_heishan
政府论是最核心最著名的现代政治哲学理论,为了便于大家理解,我们计划将它分段放在了三不运动的网站上,现在是第一部分:https://sanbu.weebly.com/1.html
Signed 陸肆黑衫 推特:@64_heishan
https://youtu.be/2xwE9i54Mr4
Signed 陸肆黑衫 推特:@64_heishan
《1987-1989民主运动》 本文的中文翻译版是首次对外公开发表,以纪念六四大屠杀之三十四周年,希望未来的运动能够从中获得启示。 音频 https://podcasters.spotify.com/pod/show/sanbu/episodes/1987-1989-e254uhm/a-a9ukv00 视频 https://youtu.be/Lldw9da-YP0 博文 https://sanbu.weebly.com/bowen https://no2gether.blogspot.com/2023/06/1987-1989.html
Signed 陸肆黑衫 推特:@64_heishan
《为什么三不运动不启蒙?》 运动不排斥持有任何主张和观念的人,……它更强调针对政府的反对而不是相互的反对。……希望公众放下信念上的分歧,……同时号召所有的抗议者不要以自己的价值信仰为唯一正确的思想体系,试图对他人进行启蒙…… https://youtu.be/dQPPyBWha-U https://no2gether.blogspot.com/2023/05/blog-post_13.html
Signed 陸肆黑衫 推特:@64_heishan
Showing the 12 most recent of 20 posts we hold for @lunwenji. 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 — 22,095 of 1,630,085 entries 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.
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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“自由主义论文” (@lunwenji), 475 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/lunwenji.
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.