黑与白的漂流瓶是不是BUG了 今天捡瓶子七八次都没有 @ouyangqiqi 每次都显示这个 昨天还没这样子诶 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 𝓵𝓮𝔃𝓲𝓼𝓱𝓮𝓷)
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Channel
@linuxdoit
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
22,893subscribers
+106 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002329614234 |
|---|---|
| Type | Channel |
| Username | @linuxdoit |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/linuxdoit |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:16 | 22,893 | +18 |
| 12 Aug 2026, 22:33 | 22,875 | +7 |
| 12 Aug 2026, 00:12 | 22,868 | +21 |
| 10 Aug 2026, 21:14 | 22,847 | +17 |
| 8 Aug 2026, 21:01 | 22,830 | +6 |
| 7 Aug 2026, 18:47 | 22,824 | +15 |
| 6 Aug 2026, 22:20 | 22,809 | +22 |
| 6 Aug 2026, 05:35 | 22,787 | first reading |
295 posts held, back to 6 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 19 pagesof Telegram’s post history, 20 posts per page.
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 9 of 295 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 295 (6 August 2026 – 14 August 2026) |
| Views total | 4,905 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 04:57 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.
8 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 75.0% | |
| ❤ | 2 | 25.0% |
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 9 of the 295 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 295 most recent posts we hold, published 6 August 2026 to 14 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.
黑与白的漂流瓶是不是BUG了 今天捡瓶子七八次都没有 @ouyangqiqi 每次都显示这个 昨天还没这样子诶 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 𝓵𝓮𝔃𝓲𝓼𝓱𝓮𝓷)
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短剧:这个律师很特别。 大家是否在抖音刷到过这个短剧《这个律师很特别》,大概的核心内容是:企业家的妻子出轨了,但是离婚会分走企业家一半的财产,企业家肯定不愿意,然后男女方各自雇律师,针对财产分割展开了一系列的故事。 如果是年轻时,就随便看看笑笑得了,但是随着年龄越来越大,越看越憋屈,有时会萌生婚姻到底能带来什么的想法 2 个帖子 - 2 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 夏景歌)
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你看看为什么要推荐青梅竹马啊 via LINUX DO - 最新话题 (author: 🥒)
服务器cpa中转claude的时候websearch功能如何处理最佳 众所周知anthropic的websearch依赖服务端响应,不能直接通过schema生效。 在claude code内部好像是有挺多方案来用的,或者说如果用deepseek官key,它们也做了适配。 但是如果是在Deeix这类应用中,虽然能通过oauth或者反重力或者乱七八糟的中转获得claude模型,但是如果用cliproxyapi进行中转,似乎websearch就不太行。 其实是个老生常谈的问题了,除了 ● 搜索类MCP ● 服务端整个类似官方的websearch功能给返回值 之外还有啥别的方案呢。主要是感觉都挺折腾的,但是deeix似乎没有像neochat那种直接提供外置搜索配置供模型取用的功能?这样一来还是挺麻烦的。 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: Ein)
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X 开源了其排名算法,让用户可以看到自己是否被“影子封禁”。 TechCrunch – 13 Aug 26 X open sources its ranking algorithm, letting users see if they've been... X is expanding the open source code behind its 'For You' feed and launching new transparency tools that show users when its ranking systems have affected their accounts or posts. Est. reading time: 5 minutes 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 𝓵𝓮𝔃𝓲𝓼𝓱𝓮𝓷)
救钱还是救鱼? 1000元钱和鱼掉进水里,你先救谁? 钱会湿,鱼会死,那么肯定救鱼啊,淹死了怎么办? 但是钱真的会湿吗?我这个钱是用塑料做的钞票,掉进水里没事。我这个钱是用最新高科技材料制作的,掉进岩浆里都没事。 鱼真的会死吗?我的鱼是深水鱼,掉进浅水里肯定死啊。我的鱼是淡水鱼,掉进海水里了,会脱水的。我的鱼是木鱼,掉在水里直接浮起来了。 我一定要去救吗?水是100度滚烫的水,钱掉进去直接煮碎了,鱼变成鱼汤了,趁热喝吧。水是弱水,我自身难保,还要救鱼? 其实钱不是我的,鱼也不是我的,钱救出来也不是我的,鱼救出来也不是我的鱼。 那么我再严谨一点。 考虑一般逻辑,10张属于我的在2025年由中国银行发行的100元人民币钞票 和 1条成年健康无任何疾病,被我喜爱养殖许久生出无限感情的 金鱼,掉进了一个 深达2米,长4米宽3米 且 顶部开放 的长方体人造玻璃容器 中,容器中除了1.8米深的 除氯自来水 外还有一根管子持续向…
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天津设立银行内结婚登记点 天津市河西区民政局东海婚姻登记处上星期四(8月6日)正式启用。观察者网报道,这是天津市河西区民政局联合邮储银行天津分行共建的天津市首家银行内结婚登记点。 天津市河西区民政局在微信公众号公布,两对新人特意选择在启用首日前来办理结婚登记,成为东海婚姻登记处首批领证市民。虎嗅网 – 12 Aug 26 银行内可办理结婚登记:天津首家婚姻登记点启用并冲上热搜 2025年8月6日,天津市河西区民政局联合邮储银行天津分行在泗水道支行启用首家银行内结婚登记点。婚姻登记全国通办实施后,多地景区、音乐节现场提供结婚登记服务,并出台结婚奖励政策,降低婚育成本。 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 雪梨纽西兰希思露甘奶迪)
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从ChatGPT网页端复制完整LaTeX公式到Typora(使用脚本解决) 本人日常使用ChatGPT网页版对学习中遇到的一些概念进行讲解,并使用Typora进行记录。针对ChatGPT回答中出现的数学物理公式,由于网页渲染和Typora使用了略有不同的语法规则。所以很多公式无法正常识别。 此前,笔者发现如果使用回答下方的复制按钮,复制出的公式使用"[]"等作为分隔。Typora会自动忽略反斜杠从而无法正确识别(即便在偏好设置中选中了相关选项也是如此)。如果使用光标选中并使用Ctrl+C进行复制,可以完整复制公式。 然而,疑似由于ChatGPT在八月针对富文本复制进行了更新,使用光标进行选中的方法也已经失效。经过联网检索相关方法,最终确定使用在网页控制台中抓取DOM树中的内容并按照Typora支持的"$“”$$"方式对公式进行包裹,同时直接复制到剪贴板以供粘贴。 确定思路之后,我利用ChatGPT(解铃还须系铃人)写了一份脚本…
Gemini 3.7 Flash大海捞针榜第一 越来越期待Pro了,赶紧更吧。 当然你问我好不好用我会说是蛆,你们都来抢我还蹬啥 😆 Leaderboard – Context Arena 2 个帖子 - 2 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: deepcake)
Pro变Plus Plus变Free 风控跟区域和卡有关 大家一起说说 看看是什么原因 美区正价 我的都还好 菲区的全军覆没 Plus成了10刀左右 Pro成了200刀左右 1 个帖子 - 1 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: 喜欢这里爱你们)
看不到自己的头像,换其他的设备也看不到。请管理帮忙指导一下怎么处理。 4 个帖子 - 4 位参与者 阅读完整话题 via LINUX DO - 最新话题 (author: libook)
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7387292324
Showing the 12 most recent of 295 posts we hold for @linuxdoit. 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 — 641,905 of 1,336,469entries 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.
Named by 1 registered channel — 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.
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.
@linuxdoit named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
“linux.do” (@linuxdoit), 22,893 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/linuxdoit.
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.