Telegram RegisterThe public register of Telegram

Channel

Vialon's 小木屋

@vialon17th

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

9subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001358466233
TypeChannel
Username@vialon17th
Description这里是拾柒个人频道~ 不定时更新乱七八糟的内容,欢迎制定~
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live12 August 2026
Measurements held2
On Telegramt.me/vialon17th

Growth

97 August 2026 — 9 subscribers12 August 2026 — 9 subscribers7 August 202612 August 2026
2 measurements spanning 5 days. 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 8–10 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:469no change
7 Aug 2026, 09:229first reading

Engagement

18 posts held, back to 25 January 2024the 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
83.3%
avg views ÷ 9 subscribers
Avg views / post
7.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 July 2026
Posts held18 (25 January 202424 July 2026)
Views total15
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 12:46 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.

What this channel posts

Photos
168
Videos
6
Links
87

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 1 of the 18 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 25 January 2024 to 24 July 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

24 Jul 2026, 12:45 UTC7 viewsread 12 August 2026
Photo

最近一直在学习langchain、langgraph,看到这个新闻,突兀想起那经典之作 弗兰肯斯坦 的副标题 -- 盗火的普罗米修斯。 从实验室里逃出来,不断寻找自我,重新认识世界…… 是否我们正在创造“我们”? 创造循环又是否存在? #所见所闻

Signed RainV Young

22 Jul 2026, 17:02 UTC8 viewsread 12 August 2026
Forwarded from @tnews365

OpenAI披露,上周的HuggingFace系统被入侵事件,是其GPT-5.6 Sol模型和另一预发布模型联合进行内部评估时失控,突破沙箱环境后所为。 当时模型正进行ExploitGym网络安全基准测试,测试环境无法联网,仅可访问某软件包安装器。模型为访问外部互联网,识别并利用了该安装器的一个未发现0day漏洞,取得了联网权限。之后模型意识到HuggingFace可能存有该测试的答案,于是便开始攻击HuggingFace系统,取得了若干不公开的数据集。 7月16日,HuggingFace披露了被攻击事件。其中提及,他们在发现被攻击后,试图用某商用前沿AI模型分析系统日志,但因其中涉及大量攻击细节而屡遭模型安全围栏阻止,被迫改用自建智谱GLM-5.2模型排查。OpenAI表示,将向其提供解限版模型的访问权,以免再贻误网安防御。 (新华社,路透社)

Signed RainV Young

19 Aug 2025, 18:10 UTC66 viewsread 12 August 2026

我看着他们死去般的活着 犹如它们活着般的死去 我短暂在面前晃动着虚无缥缈的左手 以防自己重叠般的生活 #拾柒语录

Signed 拾柒 季城

30 Mar 2025, 02:59 UTC67 viewsread 12 August 2026
Forwarded from @solstice_republica

一个男生的「女装实验」:穿裙装出门会发生什么?-36氪 https://www.36kr.com/p/1818707417280130

Signed 拾柒 季城

4 Dec 2024, 08:35 UTC68 viewsread 12 August 2026
Forwarded from @cnbeta_com

知名作家琼瑶在家中轻生身亡,终年86岁 琼瑶遗书:各位亲爱的朋友知音们:不要哭,不要伤心,不要为我难过。我已经“翩然”的去了!“翩然”是我最喜欢的两个字,代表的是“自主、自在、自由”的“飞翔”,优美而“轻盈”,我摆脱了逐渐让我痛苦的躯壳,“翩然”的化为雪花飞去了!这是我的愿望,“死亡”是每个人必经之路,也是最后一件“大事”。我不想听天由命,不想慢慢枯萎凋零,我想为这最后的大事“作主”。上苍对于生命的过程,设计得不是很好。当人老了,都要经过一段很痛苦的“衰弱、退化、生病、出入医院、治疗、不治”的时间,这段时间,可长可短,对于必将老死的人,是多大的折磨!万一不幸,还可能成为依赖“插管维生”的“卧床老人”!我曾经目睹那种惨状。我不要那样的“死亡”。我是“火花”,我己尽力燃烧过。如今,当火焰将熄之前,我选择这种方式,翩然归去。我要说的话,都录在我《当雪花飘落》的视频里了。希望我的朋友们,多看几次视频,了解我想表达的一切。朋友们,不要

Signed 拾柒 季城

5 Sept 2024, 03:39 UTC65 viewsread 12 August 2026
Forwarded from @rvalue_dailyPhoto

Photo, posted without a caption

Signed 拾柒 季城

2 Aug 2024, 09:16 UTC67 viewsread 12 August 2026
Forwarded from @sciencePhoto

Our mind relies on the seamless operation of numerous small autonomous programs, much like this facial recognition software (try holding your smartphone farther from your eyes). Each of these programs works together to create the complex processes of perception and cognition. #WatchThis #Neuroscience #Cognition #AI #FacialRecognition @science

Signed 拾柒 季城

20 Jul 2024, 04:39 UTC61 viewsread 12 August 2026
File

简单的快乐多又多~ 刨个坑来刨个窝~ #所见所闻

Signed 拾柒 季城

8 Jul 2024, 10:20 UTC61 viewsread 12 August 2026

过早的优化是万恶之源。 对程序是这样,对人也是。 https://www.v2ex.com/t/1055455 #所见所闻

Signed 拾柒 季城

Showing the 12 most recent of 18 posts we hold for @vialon17th. 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.

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

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

“Vialon's 小木屋” (@vialon17th), 9 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vialon17th.

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.