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Channel

泽边

@frommarshside

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

278subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001932790175
TypeChannel
Username@frommarshside
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/frommarshside

Growth

2762782776 August 2026 — 276 subscribers6 August 2026 — 276 subscribers15 August 2026 — 278 subscribers6 August 202615 August 2026
3 measurements spanning 9 days, net +2. 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 276–278 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 15:26278+2
6 Aug 2026, 23:31276no change
6 Aug 2026, 05:54276first reading

Engagement

19 posts held, back to 10 June 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
85.7%
avg views ÷ 278 subscribers
Avg views / post
238
7 posts measured
Reaction rate
0.81%
reactions ÷ views · ER floor
Posts in window
7
of 19 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 5 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held19 (10 June 20265 August 2026)
Views total1,667
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 23:31 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

35 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1440.0%
👍1337.1%
👏514.3%
🤝38.57%

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 11 of the 19 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 35reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 10 June 2026 to 5 August 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

5 Aug 2026, 13:37 UTC85 views4 reactionsread 6 August 2026

或许是同一个话题。很多人,包括很多我很尊敬的朋友,都会说,因为某个地方的人/说某种语言的人/某个种族的人/某个肤色的人做了某些不好的事,给自己留下了阴影,所以下意识讨厌这些人。 人不需要永远理性,坏的个人经验也不应该被否定,这是人之常情。 但我还是要说,这样的想法会出现在小地方上,会出现在方言上,出现在印度人、黑人上,出现在性少数群体上,但几乎不会出现在主流群体上。我从来没见过有人说,因为某个说普通话的人做了坏事,所以我对说普通话的人有偏见。也很少有人说,因为这个中国人,这个异性恋做了坏事,因此我突然开始讨厌所有的中国人,所有的异性恋。 我想这就是 William Du Bois的「double consciousness」。一个黑人生活在白人的社会,任何事情都需要想两次:自己怎么想,和白人看到自己这么想,会怎么想。而白人只需要保持自我就可以。主流群体只需要想一次。

2👍2

4 Aug 2026, 16:04 UTC68 views1 reactionsread 6 August 2026
Forwarded from @zrj96Photo

FFmpeg 9.0发布,命名为“Lei”,新增 WebP 原生解码、基于 Vulkan 的 APV 硬件加速,以及 VideoToolbox 加速的 ProRes RAW 解码等。 https://www.phoronix.com/news/FFmpeg-9.0-Released 此次命名以纪念已故的雷霄骅 雷霄骅曾是中国传媒大学数字电视技术方向的博士生,长期从事视频、音频技术研究,并围绕 FFmpeg 制作了大量实验项目和开发示例。在其个人网站中,他曾这样介绍自己的工作:自己制作了一系列 FFmpeg 和多媒体项目的 demo,希望这些内容能够帮助音视频技术初学者。 他在2013-2016年撰写了大量 FFmpeg API、源码分析及音视频编解码、封装和传输协议方面的中文教程与示例,帮助许多中国开发者入门音视频和 FFmpeg。于 2016 年疑似因过劳突然离世。 今年是离世10周年,FFmpeg用了这个大版本号来纪

1

3 Aug 2026, 04:56 UTC111 views2 reactionsread 6 August 2026

身边的种族主义大概是这样的一件事:我可以理解(≠赞同)一些人有这样的观点;每个人都多少会有不公允或不准确的观点,或来自个人经历,或来自认知局限,如不伤害他人,观点本身不是罪过;如果是身边的家人朋友,我会尽量讨论,不会仅因一两个观点而认为他们是坏人;取决于语境,我也许也不会仅因为一两个观点而完全否定特定的人。但当一个人说种族主义的话,做种族主义的事,这是令人看不起的。即使他是我的朋友家人,之后可能仍是我的朋友家人,我也看不起他此时的言行。每个人都有缺陷会犯错,但我希望每个人都可以在自己犯错的时候感到羞愧。

2

1 Aug 2026, 15:21 UTC147 views1 reactionsread 6 August 2026

几天前和朋友聊到,类似 OpenClaw 的系统虽然大家都挺不屑一顾,但说不定用来给 ADHD 患者做日程管理会挺好用,因为它最大的优势是持续在线,可以做一些自发的活动。仅仅做日程管理的话也不需要给很多权限,避免了传说中破坏用户系统的问题。 于是就设置了一个 Nanobot 尝试了一下,感觉这个思路确实很有潜力,但问题也很明显,需要花不少时间来琢磨合适的用法和解决低级问题。 我目前用它来做这些事情: 1. 传统日程管理。定时同步各种日历事件,按规则提前提醒我。重要的事情反复提醒直到我回复; 2. 整理待办事项。提前做好事项分类(比如按艾森豪威尔矩阵),我用聊天介面随时发要做的事,bot 帮我自动归类、整理、格式化(比如标记好起止时间),同步到该同步的地方。到时间提醒我; 3. 工作激励。在常规工作时间或者别的我觉得需要催促的时候,每隔一段时间问我进度,防止摸鱼。在我试图糊弄的时候强硬要求细节。 思路上很合适。这些工作都不难

👍1

25 Jul 2026, 15:26 UTC≈1,070 views4 reactionsread 6 August 2026

最近小宇宙对托管的播客节目做了一些糟糕的改动, 1. 设置了只有达到 15 期和 1000 订阅才能输出公开 RSS 的门槛; 2. 不再在公开 RSS 中输出完整的 shownotes,代之以「去小宇宙查看完整单集简介」的引流链接。 无论出发点,这都是损害播客开放之可能,对播客制作者有害无益之举。如果你正在小宇宙上托管自己的节目,请通过可能的渠道反对这些改动;也请考虑迁移至 Typlog 等独立的托管平台,或利用开源工具自己托管(我最近做的 offshore 也是其中一种)。 如果你对迁移或托管有任何疑问,欢迎随时联系我,我可以在能力范围内免费提供技术支持。

👍4

9 Jul 2026, 02:41 UTC412 viewsread 6 August 2026

我自己节目目前的工作流:音频文件按固定格式放 CF R2,生成的 feed xml 文件也放 R2,每次上传同名文件替换就实现了节目更新了。所有的链接前面用自己的链接跳转,这样以后即使不用 R2 了,在 DNS 层面操作一下就行,对听众是无感的。

9 Jul 2026, 02:10 UTC≈1,250 views5 reactionsread 6 August 2026

做了一个构思很久的小工具:本地播客 feed 生成器 offshore。 https://offshore.pressed.press/ 最初的动机是市场上的播客 host 太贵,已经算是物美价廉的 Typlog 也要 90 美元一年。免费的方案,比如小宇宙,网易云和喜马拉雅,附带的封闭和审查也让人完全不想用。 自建的方案有一些,但几乎都是建站工具的附属,比如 WordPress 或者一些静态博客生成器的插件。虽然可用,但当你实际上并不需要那些网站的时候,不得不一并 host 作为主体的网站未免显得非常累赘。 再之后看到有人把播客的音频都托管在 Internet Archive 上的例子,意识到其实音频和播客 feed 完全是可以拆分的。即使是目前很稳定的 Typlog,也在墙外,也很难保证中国的访问不会出问题。因此我尝试继续使用 Typlog 的 feed 不变,但把音频单独先后放在阿里云 OSS 和 Cloudfla

👍5

30 Jun 2026, 03:32 UTC366 viewsread 6 August 2026
Forwarded from @kusuri_by_toto

https://pudding.cool/2026/06/menu-story

22 Jun 2026, 15:10 UTC466 viewsread 6 August 2026
Forwarded from @reorx_share

今天想在两个电脑上通过命令行分享文件,找了下发现之前收藏的这个工具很不错 https://github.com/schollz/croc

Showing the 12 most recent of 19 posts we hold for @frommarshside. 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 — 703,940 of 1,480,975entries 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.

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.

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

“泽边” (@frommarshside), 278 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/frommarshside.

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.