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Channel

淇淇の小屋【夏日烈阳版】

@qiqihome

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

2,689subscribers

-35 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001320000251
TypeChannel
Username@qiqihome
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/qiqihome

Growth

2,6892,7242,706.57 August 2026 — 2,724 subscribers7 August 2026 — 2,724 subscribers11 August 2026 — 2,711 subscribers14 August 2026 — 2,689 subscribers7 August 202614 August 2026
4 measurements spanning 6 days, net -35. 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 2,684–2,729 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 08:262,689-22
11 Aug 2026, 11:172,711-13
7 Aug 2026, 23:152,724no change
7 Aug 2026, 23:092,724first reading

Engagement

15 posts held, back to 15 July 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
28.9%
avg views ÷ 2,689 subscribers
Avg views / post
777
11 posts measured
Reaction rate
0.722%
reactions ÷ views · ER floor
Posts in window
13
of 15 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 11 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 held15 (15 July 20265 August 2026)
Views total8,550
Reactions total50
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:15 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

58 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 29.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1729.3%
🤡1627.6%
😁813.8%
👍712.1%
58.62%
🤯35.17%
🥰23.45%

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 10 of the 15 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 58reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 July 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.

Advertising

Ad load
20.0%
3 of 15 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
626
over 3 measured posts
Median views · rest
785
over 10 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 15 most recent posts we hold, published 15 July 2026 to 5 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

5 Aug 2026, 09:25 UTC278 views16 reactionsread 7 August 2026
Forwarded from @OneMillion_AIPhoto

Qwen3.8-Max发布正式版:分数只比DeepSeek-V4-Flash高一点,价格贵近20倍 阿里发布 Qwen3.8-Max 正式版。这是一款 2.4T 参数的多模态旗舰模型,主打编程 Agent、专业办公和长任务,API 已经上线。 在 TerminalBench 2.1、DeepSWE 1.1、NL2Repo 和 Toolathlon Verified 四项测试中,它只比 DeepSeek-V4-Flash 高 1.7 至 3.9 分。两家的测试框架不同,不能算严格同场对决,但差距确实不大。 价格差距却非常明显。Qwen3.8-Max 每百万 Token 输入 2 美元、输出 6 美元;DeepSeek-V4-Flash 分别只要 0.14 美元和 0.28 美元。综合计算,千问贵约 20 倍。 只看这组成绩和价格,Qwen3.8-Max 毫无性价比。它用近 20 倍成本,只换来几个百分点的领先。 Qwen

🤡16

4 Aug 2026, 12:20 UTC327 views2 reactionsread 7 August 2026
Forwarded from @wtmsdPhoto

Photo, posted without a caption

🥰2

24 Jul 2026, 15:15 UTC936 views3 reactionsread 7 August 2026

Telegram 被曝存在零点击崩溃漏洞,桌面版已静默修复 安全研究人员披露,Kimi K3 在 Telegram 客户端中发现了一个零点击漏洞。据目前公开信息,该漏洞可能影响 Telegram Desktop 和 iOS 客户端,攻击者可通过特制消息导致客户端内存耗尽并崩溃。 Telegram Desktop 已发布新版并完成修复,但更新日志中没有明确提及该漏洞。研究人员还公开了测试机器人 @kimifuckingbot ,用于触发并验证崩溃问题。该机器人具有实际破坏性,不建议使用主账号或未更新的客户端测试。 建议桌面端用户立即更新至最新版本;iOS 用户也应及时检查 App Store 更新。在官方确认前,应避免使用长期未同步上游代码的第三方 Telegram 客户端。 原文 | 测试机器人 | 桌面版更新 🌸 在花频道 · 茶馆水群 · 投稿通道

🤯3

24 Jul 2026, 07:18 UTC873 views5 reactionsread 7 August 2026

公告: 本频道及其子频道发布的 AD 均为友情转发,未收取任何广告费用,不构成任何购买建议和推荐,请自行斟酌。我们不对任何交易提供任何担保。不提供任何支持。 #公告

👍5

20 Jul 2026, 10:03 UTC≈2,000 views4 reactionsread 7 August 2026
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4

20 Jul 2026, 03:35 UTC626 viewsread 7 August 2026
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20 Jul 2026, 03:15 UTC547 views2 reactionsread 7 August 2026
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👍2

Showing the 12 most recent of 15 posts we hold for @qiqihome. 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“淇淇の小屋【夏日烈阳版】” (@qiqihome), 2,689 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/qiqihome.

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.