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Channel

未題名の四月と海

@acherkrau

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

2,524subscribers

+17 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001820371480
TypeChannel
Username@acherkrau
Created3 August 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/acherkrau

Growth

2,5042,5242,5146 August 2026 — 2,507 subscribers6 August 2026 — 2,507 subscribers6 August 2026 — 2,511 subscribers9 August 2026 — 2,504 subscribers12 August 2026 — 2,512 subscribers15 August 2026 — 2,524 subscribers6 August 202615 August 2026
6 measurements spanning 10 days, net +17. 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 2,501–2,527 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:172,524+12
12 Aug 2026, 13:132,512+8
9 Aug 2026, 19:412,504-7
6 Aug 2026, 18:302,511+4
6 Aug 2026, 05:342,507no change
6 Aug 2026, 05:052,507first reading

Engagement

19 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.1%
avg views ÷ 2,524 subscribers
Avg views / post
281
19 posts measured
Reaction rate
0.933%
reactions ÷ views · ER floor
Posts in window
19
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 9 of 19 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 7 August 2026
Posts held19 (3 August 20267 August 2026)
Views total5,343
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:26 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

25 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 52.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1352.0%
🥰624.0%
🤣416.0%
14.00%
🤔14.00%

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 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 30reactions 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 3 August 2026 to 7 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

7 Aug 2026, 08:46 UTC129 views1 reactionsread 7 August 2026
Forwarded from @hatschannelPhoto

牛逼!OpenCode Go 里的 V4 Flash 限时 2x usage

1

Signed Krau

7 Aug 2026, 05:56 UTC≈1,050 views7 reactionsread 7 August 2026
Photo

中国人来了

🥰6😁1

Signed Krau

7 Aug 2026, 05:15 UTC176 viewsread 7 August 2026
Forwarded from @sstrojanPhoto

好了这下Clash Verge都上央视了 消息来源——央视新闻《从追赶到领跑 中国开源模型深度融入实体经济》相关报道 1:49

Signed Krau

6 Aug 2026, 02:56 UTC274 views3 reactionsread 7 August 2026
Photo

这是不是第一家可以让你用自己的数据换折扣的模型..

😁3

Signed Krau

6 Aug 2026, 02:06 UTC212 views6 reactionsread 7 August 2026
Forwarded from @OneMillion_AI

张一鸣:宁愿大模型暂时落后,也不走蒸馏捷径 字节跳动创始人张一鸣上月在 Seed 团队全员会上明确表示,公司不会把蒸馏当作追赶大模型的捷径,即使因此暂时落后于国内对手。他要求团队愿意牺牲短期收益,换取长期目标。 蒸馏是让新模型学习更强模型的输出,可以节省训练时间和算力。字节内部认为,不走这条路,会让 Seed 的语言模型短期内更难追上 DeepSeek、Kimi 和千问等国内同行。 但字节更担心的是政治风险。公司此前长期因 TikTok 遭到美国政府审查。虽然 TikTok 美国数据安全业务已经引入美国资本,字节仍保留股份,并继续经营 TikTok 的全球商业业务。一旦被指控大规模提取美国前沿模型的能力,华盛顿可能重新向 TikTok 施压。 Anthropic 此前曾指控 DeepSeek、月之暗面、MiniMax、智谱和阿里巴巴大规模提取 Claude 的能力,但没有点名字节。 The Information

😁5🤔1

Signed Krau

6 Aug 2026, 01:23 UTC195 viewsread 7 August 2026
Forwarded from @OneMillion_AIPhoto

DeepSeek预告API即将涨价,峰时翻倍方案尚未落地 DeepSeek 在开放平台提示,计划近期整体上调 API 服务定价,预计涨幅较大,具体方案和生效时间将另行通知。 此前流传的通知显示,DeepSeek 曾计划引入峰谷定价。每天北京时间 9:00 至 12:00、14:00 至 18:00,API 价格可能涨至平时的 2 倍。 不过,截至目前,DeepSeek 官方价格页仍按统一价格计费,没有列出峰时价格。

Signed Krau

5 Aug 2026, 23:18 UTC116 views1 reactionsread 7 August 2026
Forwarded from @rvalue_dailyPhoto

Photo, posted without a caption

😁1

Signed Krau

5 Aug 2026, 15:39 UTC151 viewsread 7 August 2026

#今天看了啥 GitHub 把主页改了以后,之前的 dashboard 被保留在了 https://github.com/dashboard-feed 下面,但它同时应该是一位用户的 profile 页面。 如果你的手机上安装了 GitHub 的 App,打开 URL 时应该会使用 App 打开 dashboard-feed 这个用户的资料页。 于是他今天多了好多 follower。

Signed Krau

5 Aug 2026, 14:41 UTC107 views4 reactionsread 7 August 2026
Forwarded from @microblock_pubPhoto

我不行了 你们都这么写路由的吗

🤣4

Signed Krau

5 Aug 2026, 09:42 UTC201 viewsread 7 August 2026
Forwarded from @OneMillion_AI

95后小伙用AI编「小作文」,炒纯碱赚8.5万被罚48.5万 四川证监局对个人投资者孙哲元作出处罚。他用 AI 批量生成 17 篇纯碱生产虚假文章,并发布在百度百家号「帝侃」上。传播期间,他交易纯碱期货,扣除手续费后获利 85028.85 元。监管没收全部收益,并罚款 40 万元,合计罚没约 48.5 万元。 这 17 篇文章围绕两条假消息。4 篇声称某纯碱企业锅炉故障,生产线至少停半年;另外 13 篇声称阿拉善地震导致工厂受损。两批文章发布后一天,合计阅读 8794 次。已有投资者向上市公司求证,也有人向监管平台举报。 孙哲元申辩称,文章没有造成实质影响,期货盈利也与假消息无关。他还称自己长期患有精神疾病。四川证监局全部驳回,认定其主观故意明显,也未能证明事发时无法辨认或控制自己的行为。监管同时明确,传播虚假信息期间的期货交易收益,可以直接认定为违法所得。 行政处罚决定书

Signed Krau

5 Aug 2026, 05:32 UTC176 viewsread 7 August 2026
Forwarded from @landiansubPhoto

#人工智能 美国政府新 AI 框架排除开放模型,即非开放模型需先审后发,开源或开放模型无需审核可以直接发。 这个 AI 框架遵循「自愿性」原则,即 AI 公司可以在模型发布前将模型先提交给美国政府审核,审核期间最多 30 天。 当然说是自愿,如果 AI 公司没有自愿将模型提交审核,那有什么后果就很难说了。 查看全文:https://ourl.co/114211?t 😁订阅 🤔解封 🥰推特 🎉CN2VPS

Signed Krau

Showing the 12 most recent of 19 posts we hold for @acherkrau. 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 — 119,364 of 1,481,217entries 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

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

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.

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.

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.

“未題名の四月と海” (@acherkrau), 2,524 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/acherkrau.

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.