Channel
@hellolinuxLab
On this record: Growth · Engagement · Posts · Citations · Cite this entry
8subscribers
+0 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001570119995 |
|---|---|
| Type | Channel |
| Username | @hellolinuxLab |
| Created | Between 1 August 2021 and 12 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/hellolinuxLab |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:15 | 8 | no change |
| 13 Aug 2026, 19:17 | 8 | first reading |
20 posts held, back to 12 February 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 pageof 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 2 April 2026. An engagement rate over an empty window would be a number about nothing.
The owner of this channel has been inactive for the last 17 months. If they remain inactive for the next 20 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
https://realsatoshi-intern.notion.site/2023-1223-WIP-98d0ab409da744ad99a67370483827c4
RT @bnu_chenshuo: 纪念陈皓（左耳朵耗子） https://t.co/XYyR6Sgz14 https://t.co/i5RnUSToOn https://t.co/HePWVHksmq — helloLinux (@Changeli0n) May 18, 2023
【2023EP.54 女性如何获得自由？聊聊女性主义】 https://podtail.com/podcast/4ffac7d2/2023ep-54/ 这个才是切身实际的落脚女性主义。（5W：Who, What, Where, When, Why） 女性主义需要回答这些概念，When（当下），Where（国内国外空间），Who（女性、人），再来讨论是什么为什么。
https://www.youtube.com/watch?v=MLeM1hCdXDo&ab_channel=%E7%8E%8B%E5%BF%97%E5%AE%89 https://movie.douban.com/subject/2347485/ 今天看到王志安推特暂时被举报封禁，我猜应该是那个移民的话题引起的，因为只有切实的利益才会让人这样做，而对于道德人性的不满，还达不到这样。 上面的两个东西，本身不在一个频道，实际是一致，大多数人对现实世界现象事实不满批判，不能解决实际问题，应该更多考虑局中的人实际需求 对于王志安对铁链女的最后落脚点很赞同，因为很多人不了解底层人们，没有亲身感受过，没法感受那种无力。（我现实生活中很小的时候有接触过这样有精神病人的一家） #天道 中有异曲同工，只有深入局中人的时候，最后发现 大多数人认为的劫富济贫 并不是切实的解决方式。 用自己的道德标准或处事方式去看待评判，如果只是标新立异，那就只…
claude AI slack还是可以的
RT @retawL: 今天看到好几个表示不敢评论的推了，忽然很想评论一下。并且说实话，我觉得目前没看到足够好的评论。 @disksing 的评论最靠谱，但讲了一条之后就被喷的关了评论区，后面的肯定没讲彻底。也好长时间没正经写过推了。1/n https://t.co/XjY30KDoPq — helloLinux (@Changeli0n) Apr 14, 2023
学习英文五步： - 打好基础 发音、单词（2000+）、文法 - 有趣的影片（50-60%能懂） - 开字幕看影片 1-2H/day - 影片程度要提升 - 练习口说 自言自语、写日记、线上老师 https://www.youtube.com/watch?v=59QlHqVOCKw&ab_channel=%E8%AC%9B%E4%B8%89%E7%A8%AE%E8%AA%9E%E8%A8%80%E7%9A%84%E6%97%A5%E6%9C%AC%E4%BA%BAMAKOTO https://www.youtube.com/watch?v=3MIIG-Nismg
马克龙访华，第一个结果就是空客大单 — helloLinux (@Changeli0n) Apr 7, 2023
https://theinitium.com/article/20230406-opinion-interview-economist-chenzhiwu/invite_token/PIkULkxami/
加息导致财富从债券持有人向纳税人转移 https://xueqiu.com/9487181048/245353092 https://www.barrons.com/articles/the-fed-bondholders-taxpayers-economy-dbedafb6 加息12次，3月后还有三次加息 5.625% 快速加息导致债券账面价值下降 债券是如何定价 利率 补贴 100w 0.5% 债券是如何形成市价 0.3% 102w 利率跌，价值涨 殖利率是如何形成 2011 德国 78% 国债占GDP 2018 德国 71% 美国国债是指从占GDP的108%下降至85%，这是美国债务负担下降最快的一次 美国国债 认赔 损失 15 到期 赚 7 4.9% 成本 10年 49% 2020.8.3 3M 资金成本0.1% 10年报酬0.56% 赚0.46% 疯狂套利 2023.…
File, posted without a caption
Showing the 12 most recent of 20 posts we hold for @hellolinuxLab. 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 — 1,128,510 of 1,480,944entries 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Hellolinux Lab” (@hellolinuxLab), 8 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/hellolinuxLab.
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.