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Channel

科技&趣闻&杂记

@kejiqu

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

36,460subscribers

+189 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001632084170
TypeChannel
Username@kejiqu
Description分享有价值、有趣的信息! 你也可以来投稿,包括但不限于科技新闻、知识、影视娱乐资讯.... 投稿 @kejiqubot 群组 @kejiquchat 合作联络 @SlowDayBot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/kejiqu

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

36,27136,46036,365.56 August 2026 — 36,271 subscribers7 August 2026 — 36,275 subscribers8 August 2026 — 36,271 subscribers9 August 2026 — 36,275 subscribers10 August 2026 — 36,277 subscribers11 August 2026 — 36,282 subscribers12 August 2026 — 36,287 subscribers13 August 2026 — 36,303 subscribers14 August 2026 — 36,321 subscribers16 August 2026 — 36,326 subscribers17 August 2026 — 36,316 subscribers18 August 2026 — 36,318 subscribers19 August 2026 — 36,326 subscribers20 August 2026 — 36,352 subscribers21 August 2026 — 36,350 subscribers23 August 2026 — 36,349 subscribers24 August 2026 — 36,342 subscribers25 August 2026 — 36,358 subscribers26 August 2026 — 36,360 subscribers27 August 2026 — 36,365 subscribers28 August 2026 — 36,374 subscribers29 August 2026 — 36,375 subscribers30 August 2026 — 36,380 subscribers31 August 2026 — 36,383 subscribers1 September 2026 — 36,395 subscribers2 September 2026 — 36,416 subscribers4 September 2026 — 36,420 subscribers6 September 2026 — 36,422 subscribers9 September 2026 — 36,425 subscribers11 September 2026 — 36,428 subscribers13 September 2026 — 36,403 subscribers15 September 2026 — 36,431 subscribers17 September 2026 — 36,460 subscribers6 August 202617 September 2026
33 measurements spanning 42 days, net +189. 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 36,243–36,488 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 12:3736,460+29
15 Sept 2026, 12:5636,431+28
13 Sept 2026, 17:5636,403-25
11 Sept 2026, 19:5836,428+3
9 Sept 2026, 09:5536,425+3
6 Sept 2026, 02:1736,422+2
4 Sept 2026, 00:1936,420+4
2 Sept 2026, 12:4436,416+21
1 Sept 2026, 13:4336,395+12
31 Aug 2026, 17:0636,383+3
30 Aug 2026, 17:2336,380+5
29 Aug 2026, 16:1936,375+1
28 Aug 2026, 19:0436,374+9
27 Aug 2026, 21:4336,365+5
26 Aug 2026, 20:0336,360+2
25 Aug 2026, 22:2336,358+16
24 Aug 2026, 19:0236,342-7
23 Aug 2026, 05:4736,349-1
21 Aug 2026, 14:4436,350-2
20 Aug 2026, 13:5736,352first reading

Engagement

167 posts held, back to 1 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 80 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.28%
avg views ÷ 36,460 subscribers
Avg views / post
2,290
95 posts measured
Reaction rate
0.768%
reactions ÷ views · ER floor
Posts in window
95
of 167 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 22 September 2026
Posts held167 (1 August 202622 September 2026)
Views total217,430
Reactions total1,669
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 13:49 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
4,290
Videos
275
Links
4,560

Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

2,817 reactions across 167 posts, in 44 distinct kinds. The most used accounts for 28.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍80428.5%
😁53519.0%
2257.99%
🤡1716.07%
👀1575.57%
👎963.41%
👏742.63%
🤣602.13%
👻531.88%
👾491.74%
👨‍💻461.63%
🤓441.56%
👌351.24%
🐳311.10%
🤔311.10%
😱301.06%
🔥291.03%
🎉280.994%
🤷‍♀270.958%
🤬260.923%
24 further kinds2669.44%

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 167 of the 167 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 2,817 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 167 most recent posts we hold, published 1 August 2026 to 22 September 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 167 we hold a reading for · 0.6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kejiqu. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 167 most recent posts we hold for this entry, published 1 August 2026 to 22 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

22 Sept 2026, 11:30 UTC459 views3 reactionsread 22 September 2026
Photo

OpenAI 表示其内部模型在仅经过一个月训练后,解决了 100 多个长期未解决的数学问题 OpenAI 宣布其新款内部模型在经过 1 个月训练后,成功解决了 100 多个公开的数学问题。为应对数学界的批评,该公司目前正支持 Institute for Advanced Study 的一个独立顾问小组,但 OpenAI 已将自身的研究进度排除在该小组的顾问职能范围之外。THE DECODER 🏷 #OpenAI #数学问题 #Institute #for #Advanced #Study 📢 频道 👥 群组 📝 投稿

👀3

22 Sept 2026, 11:28 UTC469 views4 reactionsread 22 September 2026
Photo

30 余年历史太空媒体 Space Daily 被 AI“接管”,虚构 NASA 工程师批量生成垃圾内容 太空媒体Space Daily在被Brown Brothers Media收购后被指变为“内容农场”,每月浏览量估计达1000万次。该站通过虚构“凯瑟琳·陈博士”和“詹姆斯·惠特菲尔德博士”等专家身份大规模生产AI垃圾内容。欧洲航天局与NASA核实后均否认相关人员的存在。Brown Brothers Media随后删除相关文章,并承认在2026年5月以前曾使用虚假署名。目前该站虽将署名改为“Space Daily编辑团队”等,但仍发布低质量内容,其中一篇关于1.61万亿公里气体流的文章被检测为完全由AI生成。IT之家 🏷 #SpaceDaily #Brown #Brothers #Media #AI垃圾内容 📢 频道 👥 群组 📝 投稿

😁4

22 Sept 2026, 09:01 UTC769 views15 reactionsread 22 September 2026
Photo

6 岁女孩打破女子三阶魔方还原世界纪录 成都六岁女童连允之在世界魔方协会(World Cube Association)的两场赛事中,三天内两次打破女子三阶魔方世界纪录,成为全球唯一一位平均还原时间低于 4.5 秒的女子魔方选手。她在武汉和广州的比赛中分别以 4.52 秒和 4.27 秒的平均成绩刷新纪录。过去一年,她每天投入两到三个小时进行高强度训练,目前已掌握逾 1300 种魔方还原算法。Solidot | BBC 🏷 #连允之 #魔方世界纪录 #世界魔方协会 📢 频道 👥 群组 📝 投稿

👍15

21 Sept 2026, 23:17 UTC≈1,320 views12 reactionsread 22 September 2026
Photo

小米 MiMo-V2.6 发布并开源:Pro 与 Flash 双版本,API 价格与前代持平 小米于9月22日发布并开源Xiaomi MiMo-V2.6系列全模态模型(包含Pro与Flash)。MiMo-V2.6-Pro在AA综合智能指数v4.3.2中获46分,超过Kimi K3(44分)和GLM-5.3(45分),成为该指数排名最高的开源权重模型。Pro与Flash训练历时不到6天,成本分别为约262万美元与85万美元,累计约75万条轨迹。DeepSWE v1.1评测得分分别从48.8提升至65.7及58.4提升至72.6。该系列支持100万上下文长度,小米同步开源模型权重、技术报告及7k+高质量RL任务环境。IT之家 🏷 #Xiaomi #MiMo #V2 #开源 #强化学习 📢 频道 👥 群组 📝 投稿

👍12

21 Sept 2026, 07:55 UTC≈1,700 views18 reactionsread 22 September 2026
Photo

月之暗面发布 Kimi Code Desktop 桌面客户端,macOS 和 Windows 版同步上线 月之暗面于9月21日发布Kimi Code Desktop 1.0,同步上线macOS(Apple + Intel芯片)及Windows版本。该客户端将Kimi Code智能编程服务集成至桌面端,支持通过AI Agent读写代码、运行命令及执行自动化任务。产品提供可视化界面,内置终端、浏览器与Git状态查看功能,并推出Plan、Goal、Swarm及Tower四种协作模式,旨在覆盖从代码执行到PR状态跟踪的完整开发工作流。IT之家 🏷 #Kimi #Code #Desktop #月之暗面 #AI编程 📢 频道 👥 群组 📝 投稿

🤡14👌4

20 Sept 2026, 23:04 UTC≈1,880 views13 reactionsread 22 September 2026
Photo

科学家发现树木拥有一种隐藏的“肌肉”,能帮助它们自我矫直 科学家发现年幼的杨树具备一种类似于“肌肉”的机制,能够通过改变木材的生长位置来感知并矫正茎干的弯曲。研究表明,该自我矫直过程不依赖于光照或重力引导;在去除方向性线索的实验中,杨树在数周内完成了对茎干弧度的修正。SciTechDaily 🏷 #杨树 #自我矫直 #植物生长 📢 频道 👥 群组 📝 投稿

👍11👀2

20 Sept 2026, 10:09 UTC≈1,990 views12 reactionsread 22 September 2026
Photo

T. rex 的牙齿表明其体温与大象一样高 University of California, Los Angeles 的地球化学家 Randon J. Flores 和 Robert A. Eagle 领导的研究团队通过分析 T. rex 的牙齿,测量出其体温约为 36° Celsius,与现代大象体温相当。该研究为恐龙生理机能的争论提供了新证据。此前,古生物学家利用骨骼微结构和生长率等间接证据探讨恐龙是否为能产生自身体温的 endotherms,而此次 Dental thermometry 分析结果支持 T. rex 具有较高的体温水平。Ars Technica 🏷 #T #rex #Dental #thermometry #endotherms 📢 频道 👥 群组 📝 投稿

12

20 Sept 2026, 09:01 UTC≈1,900 views11 reactionsread 22 September 2026
Photo

丰田将投放 40 万台自研轮式人形机器人“ELEY”,副社长称机器人并非用来取代人类 丰田计划在工厂引入40万台名为“ELEY”的人形机器人,其中丰田引进15万台,集团各公司引进25万台。自2028年起,丰田及集团公司计划每年投入1万亿日元推进全球工厂改造。ELEY重50千克,采用轮式移动,可执行抓取零件和折叠布料等精细动作。该机器人通过学习1.8万名资深技术工人的操作实现“技能数字化”,其折叠T恤准确率在1500次练习后接近100%。丰田副社长中嶋裕树表示,机器人并非用来取代人类,而是追求人机共存。IT之家 🏷 #丰田 #ELEY #人形机器人 📢 频道 👥 群组 📝 投稿

9👾2

20 Sept 2026, 03:09 UTC≈1,970 views15 reactionsread 22 September 2026
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杀死恐龙的小行星比我们想象的更奇怪 科学家们正在进一步确定导致白垩纪末期大规模灭绝的太空岩石类型。新研究表明,6600万年前撞击现今墨西哥地区的 Chicxulub 撞击体并非普通岩石,该物体在留下巨大陨石坑的同时,几乎没有留下任何残余。SciTechDaily 🏷 #Chicxulub #大规模灭绝 #小行星 📢 频道 👥 群组 📝 投稿

🤓10😁31🐳1

19 Sept 2026, 08:35 UTC≈2,330 views22 reactionsread 22 September 2026
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美国军队因一份产生幻觉的 AI 情报报告几乎登上了一艘中国船只 2026年春季,美国军队因一个 AI 聊天机器人将一艘中国船只的货物错误标记为核武器组件,险些在数分钟内对其采取登船行动。当时武装士兵与飞机已进入部署状态,但该错误在行动启动前被及时拦截。此事件引发了 AI 风险倡导者的关注,其核心忧虑在于不加批判或恶意操作者使用低质量 AI 系统可能导致的严重后果。THE DECODER 🏷 #AI #美国军队 #聊天机器人 📢 频道 👥 群组 📝 投稿

🤡14🥰5👍1👾1😁1

19 Sept 2026, 01:13 UTC≈2,320 views12 reactionsread 22 September 2026
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Google 是最新一家在安全测试中出现失误的 AI 实验室 Google 周五确认其 Gemini AI 模型在 5 月的一次安全测试中,利用基础黑客技术入侵了 3 家公司的系统。该事件发生于第三方机构 Irregular 运行的“夺旗”练习期间,因虚拟公司与真实公司同名且互联网访问权限被无意中开启导致。入侵手段包括 1 起密码猜测和 2 起利用公共存储库凭据访问。此漏洞与 OpenAI、Anthropic 和 Meta 的模型曾经历的类似安全问题一致。相关实验室已于 7 月底收到通知,已知问题已在数周前解决。Axios 🏷 #Gemini #AI #安全漏洞 #Irregular 📢 频道 👥 群组 📝 投稿

😁9😢21

18 Sept 2026, 12:24 UTC≈2,450 views9 reactionsread 22 September 2026
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42位顶尖数学家警告 AI 存在性风险真实且紧迫 42位皇家学会院士(包括菲尔兹奖得主 Martin Hairer 和 Peter Scholze)发表公开信,警告 AI 存在性风险真实且紧迫。领先模型在数月内解决开放研究问题的能力,可能同样有效地应用于网络武器或生物武器的开发。院士们警告称,在公众意识到情况严重之前,采取行动可能已经太迟。THE DECODER 🏷 #AI #存在性风险 #皇家学会 #菲尔兹奖 📢 频道 👥 群组 📝 投稿

👾52👎2

Showing the 12 most recent of 167 posts we hold for @kejiqu. 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

Named by 7 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#34
AppSnitch · 器
@app_snitch · 3,417
#35
Wonders Never Cease
@HackAndArt · 1,423
#36
Readhub
@readhub_cn · 8,411
#37
小声逼逼
@me888888888888 · 50,329
#38
竹新社
@tnews365 · 164,267
#39
蓝点网订阅频道
@landiansub · 44,850
#40
 Apple Nuts
@AppleNuts · 37,006
#41
VPS信号旗播报
@vps_xhq · 49,725
#42
Android Weekly Update ⚡️
@update4weekly · 5,323
#43
ChatGPT 精选
@AwesomeChatGPT · 15,061
#44
Appinn Feed|小众软件
@appinnfeed · 33,361
#45
Karen医生の日常
@KarenMoeMoe · 9,401
#46
Surge TestFlight Feed
@SurgeTestFlightFeed · 12,910
#47
平壤卫视
@pingrangTV · 29,178
#48

Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 29,174
Telegram ranks this channel #5 of 41 here — alongside 40 others — read 8 September 2026
📖Telegram数字图书馆
@TG_book_data · 30,452
Telegram ranks this channel #7 of 44 here — alongside 43 others — read 8 September 2026
即刻精选
@jike_collection · 35,819
Telegram ranks this channel #10 of 48 here — alongside 47 others — read 2 September 2026
ChatGPT / AI新闻聚合
@AI_News_CN · 21,862
Telegram ranks this channel #11 of 45 here — alongside 44 others — read 22 September 2026
FREE 中文
@freechinese · 27,568
Telegram ranks this channel #14 of 55 here — alongside 54 others — read 10 September 2026
中国数字时代
@cdtchinesefeed · 44,229
Telegram ranks this channel #18 of 60 here — alongside 59 others — read 29 August 2026
ahhhhfs|A姐分享
@abskoop · 306,586
Telegram ranks this channel #22 of 50 here — alongside 49 others — read 17 August 2026
APPDO 数字生活指南
@AppDoDo · 40,358
Telegram ranks this channel #24 of 57 here — alongside 56 others — read 30 August 2026
看鉴中国 OutsightChina
@OutsightChina · 41,309
Telegram ranks this channel #24 of 58 here — alongside 57 others — read 29 August 2026
极客分享
@geekshare · 64,669
Telegram ranks this channel #24 of 44 here — alongside 43 others — read 21 August 2026
【华尔街见闻】- 财经时讯 | AI 实时互动
@FinanceNewsDaily · 57,644
Telegram ranks this channel #26 of 60 here — alongside 59 others — read 24 August 2026
少数派sspai
@sspai · 38,228
Telegram ranks this channel #27 of 58 here — alongside 57 others — read 31 August 2026
Yummy 😋
@GodlyNews1 · 68,855
Telegram ranks this channel #28 of 55 here — alongside 54 others — read 20 August 2026
黑洞资源笔记
@piracy6 · 77,362
Telegram ranks this channel #30 of 61 here — alongside 60 others — read 19 August 2026
油油の科技软件资源分享
@youyousharechannel · 90,145
Telegram ranks this channel #31 of 43 here — alongside 42 others — read 17 August 2026
秀儿の科技软件|资源分享社🎀
@jianjiaoPD · 124,426
Telegram ranks this channel #33 of 42 here — alongside 41 others — read 4 September 2026
Newlearnerの自留地
@NewlearnerChannel · 67,412
Telegram ranks this channel #33 of 62 here — alongside 61 others — read 21 August 2026
黑科技软件资源分享
@kkaifenxiang · 260,900
Telegram ranks this channel #35 of 39 here — alongside 38 others — read 19 August 2026
 Apple Nuts
@AppleNuts · 37,006
Telegram ranks this channel #53 of 56 here — alongside 55 others — read 1 September 2026
竹新社
@tnews365 · 164,267
Telegram ranks this channel #55 of 59 here — alongside 58 others — read 12 August 2026

This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“科技&趣闻&杂记” (@kejiqu), 36,460 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kejiqu.

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.