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Channel

Magazine|期刊杂志|考公|中文 | 网课分享

@QiKan2026

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

49,037subscribers

+983 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-1001877574228
TypeChannel
Username@QiKan2026
Description感谢大家的不离不弃 商务合作:@lionaaa_bot
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 2 October 2026
On Telegramt.me/QiKan2026

Topic

Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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

48,05449,03748,545.56 August 2026 — 48,054 subscribers6 August 2026 — 48,075 subscribers7 August 2026 — 48,110 subscribers8 August 2026 — 48,126 subscribers9 August 2026 — 48,172 subscribers10 August 2026 — 48,190 subscribers11 August 2026 — 48,217 subscribers12 August 2026 — 48,224 subscribers13 August 2026 — 48,251 subscribers15 August 2026 — 48,270 subscribers16 August 2026 — 48,321 subscribers17 August 2026 — 48,339 subscribers18 August 2026 — 48,349 subscribers19 August 2026 — 48,367 subscribers20 August 2026 — 48,376 subscribers22 August 2026 — 48,396 subscribers23 August 2026 — 48,470 subscribers25 August 2026 — 48,491 subscribers26 August 2026 — 48,501 subscribers27 August 2026 — 48,523 subscribers28 August 2026 — 48,539 subscribers29 August 2026 — 48,552 subscribers30 August 2026 — 48,571 subscribers31 August 2026 — 48,589 subscribers1 September 2026 — 48,610 subscribers2 September 2026 — 48,622 subscribers3 September 2026 — 48,643 subscribers5 September 2026 — 48,652 subscribers8 September 2026 — 48,694 subscribers11 September 2026 — 48,732 subscribers13 September 2026 — 48,738 subscribers14 September 2026 — 48,778 subscribers16 September 2026 — 48,802 subscribers18 September 2026 — 48,807 subscribers2 October 2026 — 49,037 subscribers6 August 20262 October 2026
35 measurements spanning 57 days, net +983. 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 47,907–49,184 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
2 Oct 2026, 10:3649,037+230
18 Sept 2026, 16:5548,807+5
16 Sept 2026, 10:0048,802+24
14 Sept 2026, 16:4148,778+40
13 Sept 2026, 00:4248,738+6
11 Sept 2026, 00:1848,732+38
8 Sept 2026, 03:5648,694+42
5 Sept 2026, 02:3848,652+9
3 Sept 2026, 10:1848,643+21
2 Sept 2026, 07:1348,622+12
1 Sept 2026, 08:2748,610+21
31 Aug 2026, 11:1848,589+18
30 Aug 2026, 09:4448,571+19
29 Aug 2026, 07:3548,552+13
28 Aug 2026, 07:1348,539+16
27 Aug 2026, 04:3348,523+22
26 Aug 2026, 04:1348,501+10
25 Aug 2026, 03:3348,491+21
23 Aug 2026, 23:2848,470+74
22 Aug 2026, 07:1748,396first reading

Engagement

53 posts held, back to 15 July 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 123 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.03%
avg views ÷ 49,037 subscribers
Avg views / post
3,940
32 posts measured
Reaction rate
0.511%
reactions ÷ views · ER floor
Posts in window
32
of 53 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 29 of 32 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 1 October 2026
Posts held53 (15 July 2026 – 1 October 2026)
Views total126,050
Reactions total581
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 09:19 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
221
Links
221

Lifetime counters from Telegram’s own channel header, read 3 October 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

1,489 reactions across 48 posts, in 8 distinct kinds. The most used accounts for 71.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,07171.9%
👍27018.1%
🎉704.70%
💯291.95%
🔥281.88%
😍80.537%
🦄80.537%
🆒50.336%

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 50 of the 53 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 1,489 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 15 July 2026 to 1 October 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 53 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @QiKan2026. 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 53 most recent posts we hold for this entry, published 15 July 2026 to 1 October 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

1 Oct 2026, 14:31 UTC≈2,100 views8 reactionsread 3 October 2026
Photo

第一财经-第9期2026 解读失眠催生的助眠消费现象。本期探讨电影市场变局,社交算法催生意外爆款,新导演融资发行承压,创作偏向家庭乡土题材。星巴克中资接盘后,市场热议降本改革;“漂亮饭”餐饮靠颜值社交走红,却受下沉市场与复购难题制约。SHEIN招股书显示其供应链高效,但履约营销成本上涨,海外监管压制增长。AI数学证明取得突破,大厂面向高中生开放实习抢占早期人才。同时涵盖长鑫存储行业红利、上海动漫文旅、极端气候扰动全球供应链、GLP‑1对食品行业冲击、谷歌AI人事变动等科技商业话题。 📌Download #第一财经

👍8

1 Oct 2026, 14:29 UTC≈1,880 views2 reactionsread 3 October 2026
Photo

第一财经-第8期2026 以AI冲击影视业为封面,AI短剧产能激增,行业陷入供给过剩、盈利承压的困境。内容还涉及美加墨世界杯商业创新与公平性争议、美国抵制数据中心、韩国股市因半导体频繁熔断、霍尔木兹海峡冲突扰动全球大宗商品。深度报道解读健身赛事HYROX、设计师服装品牌Fabrique的商业模式。WAIC展现AI硬件热潮,但机器人、AI眼镜落地遇阻。Momenta走L2到L4渐进智驾路线,装车破百万却尚未盈利。同时介绍Prada参与的登月航天服、大厂重用AI年轻骨干现象,剖析埃里森父子依靠资本与政商关系布局美国科技传媒的故事。 📌Download #第一财经

❤2

1 Oct 2026, 14:28 UTC≈1,670 views2 reactionsread 3 October 2026
Photo

财经-第16期2026 长鑫科技登陆科创板创下A股多项纪录,合肥国资、险资等多方资本助力,文章探讨适配硬科技的中国特色科创估值体系。经济上工业利润结构性分化,省域、城市经济格局重塑,AI拉动出口,外资加码高技术产业,美韩AI投资潜藏杠杆风险,数字人民币跨境平台进入商用。美加墨世界杯照搬美式商业模式收益大增,私有化方案遭足坛反对,小红书拿下世界杯版权探索社区运营。另涉及蚂蚁国际完成A轮融资、港股餐饮企业IPO接连失效,同时解读国内消费、教育等相关行业变化。 📌Download #财经

❤2

1 Oct 2026, 14:27 UTC≈1,610 views0 reactionsread 3 October 2026
Photo

财经-第15期2026 科创板开市七年,成长为硬科技、新质生产力资本主阵地。国内消费向服务消费换轨,呈现冷热分化。上半年经济呈K型分化,外贸创新高,AI、新能源拉动出口。金融方面居民贷款首次半年度净减少,信用卡行业收缩,香港黄金清算系统试运行。同时探讨全球化重构、日元贬值、欧洲能源转型、宁夏乡村振兴、地下管网投资、车市出清,以及AI对教育的影响等议题。 📌Download #财经

1 Oct 2026, 13:41 UTC≈1,600 views3 reactionsread 3 October 2026
Photo

三联生活周刊-第38期2026 本期为纪念里尔克逝世一百周年专题。文章梳理诗人坎坷生平,讲述他受莎乐美影响完成风格蜕变,依靠贵族资助潜心创作,在穆佐城堡写出《杜伊诺哀歌》等巅峰作品。结合书信、代表作,解析其孤独、生死、物诗等核心诗学。同时访谈国内译者与学者,探讨中文翻译难点,辨析读诗不应一味追求理性解读,要感受诗歌的感官力量,展现里尔克跨越时代的精神价值。 📌Download #三联生活周刊

❤3

1 Oct 2026, 13:38 UTC≈1,580 views7 reactionsread 3 October 2026
Photo

三联生活周刊-第37期2026 本期封面聚焦现代人身体节律困境,社会时差造成昼夜节律紊乱引发失眠,便秘也日益高发。文章提醒勿迷信睡眠监测设备,要破除早起崇拜,借助行为干预调节身心。同时报道布洛阿特峰雪崩事故,反思罕见病基因编辑临床试验监管缺陷;剖析性早熟、高大衔接班背后的教育焦虑;探讨当代青年婚恋观念;介绍葡萄牙作家利迪娅·若热聚焦养老院众生的文学新作。 📌Download #三联生活周刊

👍6💯1

1 Oct 2026, 13:33 UTC≈1,680 views2 reactionsread 3 October 2026
Photo

三联生活周刊-第36期2026 聚焦城市野生动物共存问题。城市建设意外形成“偶然生态系统”,野猪、貉、猕猴、斑鸠等动物入城,带来野趣也引发冲突。上海通过立法禁投喂、建设生境花园;南京调控野猪种群并改造廊道;贵阳猕猴因投喂泛滥,治理受多方因素制约。文章倡导接受不完美共存,依靠法规、生态改造与科普,人类承担生态责任。另含两篇报道:印度“蟑螂人民党”折射青年社会矛盾;尼泊尔冰岩崩灾害,警示气候变暖加剧冰冻圈风险。 📌Download #三联生活周刊

❤2

28 Sept 2026, 14:51 UTC≈4,020 views22 reactionsread 3 October 2026
Photo

三联生活周刊-第35期2026 封面聚焦广美教改,开设田野实践通识课,针对青年社交缺失问题,探索AI时代依托真实社会体验、师生生命互动的教育模式,项飙参与相关讨论。社会板块收录:西安经销商受商场重罚走向悲剧;血友病新药引发医保骗保案,折射患者用药困境;乙女游戏新增角色触发玩家抵制,剖析情感消费矛盾。 📌Download #三联生活周刊

❤22

28 Sept 2026, 14:24 UTC≈3,650 views8 reactionsread 3 October 2026
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三联生活周刊-第34期2026 封面聚焦贾樟柯探索AI电影的实践与思考,回顾其从业经历、平遥影展扶持新人的情况。社会板块涵盖:中国女孩卷入埃及绑架案;极端天气下城市防洪难题;“羊毛党”滥用仅退款损害商家权益;更年期职场保护立法难点;高校横向科研考核异化问题。 📌Download #三联生活周刊

❤8

28 Sept 2026, 14:22 UTC≈3,430 views12 reactionsread 3 October 2026
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三联生活周刊-第33期2026 以“更年期的‘答案之书’”为封面主题,从医学诊疗、家庭相处、职场保障、社会互助以及男性更年期等角度,探讨更年期的各类现实问题,介绍非典型症状、就诊沟通技巧、运动饮食调整、英国更年期咖啡馆与职场支持经验;同时还收录多篇报道,讲述美伊战争僵局、脑瘫女孩梁艾悲剧折射的融合教育困境、美克美家资金链与欠薪危机、巴塞罗那依托高迪建筑发展旅游的背后逻辑,以及诺兰改编《奥德赛》对古老史诗的现代诠释。 📌Download #三联生活周刊

❤11😍1

27 Sept 2026, 14:37 UTC≈3,910 views10 reactionsread 3 October 2026
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三联生活周刊-第32期2026 以“NPD大流行”为封面主题,指出临床自恋型人格障碍患病率很低,但该概念在网络被泛化,成为人们解读关系伤害的工具,受社会环境影响,企业考核机制放大职场自恋特质,贴标签存在简单归罪的风险;同时剖析相关博主课程利弊,用“概念蠕变”解析心理概念扩张现象,另涵盖马斯克思维与人道援助、未成年受害、农商行骗贷、《格萨尔》活态传承、物理学家罗韦利的跨学科访谈等多篇报道。 📌Download #三联生活周刊

👍8🆒2

Showing the 12 most recent of 53 posts we hold for @QiKan2026. 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.

Mentions

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.

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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“Magazine|期刊杂志|考公|中文 | 网课分享” (@QiKan2026), 49,037 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/QiKan2026.

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.