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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
48,807subscribers
+753 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 |
|---|---|
| Type | Channel |
| Username | @QiKan2026 |
| Description | 感谢大家的不离不弃 商务合作:@lionaaa_bot |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 16:55 | 48,807 | +5 |
| 16 Sept 2026, 10:00 | 48,802 | +24 |
| 14 Sept 2026, 16:41 | 48,778 | +40 |
| 13 Sept 2026, 00:42 | 48,738 | +6 |
| 11 Sept 2026, 00:18 | 48,732 | +38 |
| 8 Sept 2026, 03:56 | 48,694 | +42 |
| 5 Sept 2026, 02:38 | 48,652 | +9 |
| 3 Sept 2026, 10:18 | 48,643 | +21 |
| 2 Sept 2026, 07:13 | 48,622 | +12 |
| 1 Sept 2026, 08:27 | 48,610 | +21 |
| 31 Aug 2026, 11:18 | 48,589 | +18 |
| 30 Aug 2026, 09:44 | 48,571 | +19 |
| 29 Aug 2026, 07:35 | 48,552 | +13 |
| 28 Aug 2026, 07:13 | 48,539 | +16 |
| 27 Aug 2026, 04:33 | 48,523 | +22 |
| 26 Aug 2026, 04:13 | 48,501 | +10 |
| 25 Aug 2026, 03:33 | 48,491 | +21 |
| 23 Aug 2026, 23:28 | 48,470 | +74 |
| 22 Aug 2026, 07:17 | 48,396 | +20 |
| 20 Aug 2026, 21:23 | 48,376 | first reading |
Engagement
37 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 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.30%
- avg views ÷ 48,807 subscribers
- Avg views / post
- 4,050
- 17 posts measured
- Reaction rate
- 0.536%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 37 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 15 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 37 (15 July 2026 – 22 September 2026) |
| Views total | 68,870 |
| Reactions total | 327 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 18:22 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
- 207
- Links
- 206
Lifetime counters from Telegram’s own channel header, read 24 September 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
1,226 reactions across 34 posts, in 8 distinct kinds. The most used accounts for 71.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 874 | 71.3% | |
| 👍 | 220 | 17.9% | |
| 🎉 | 61 | 4.98% | |
| 💯 | 28 | 2.28% | |
| 🔥 | 28 | 2.28% | |
| 🦄 | 8 | 0.653% | |
| 😍 | 5 | 0.408% | |
| 🆒 | 2 | 0.163% |
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 35 of the 37 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 1,226 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 15 July 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 37 we hold a reading for · 3%
- 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 37 most recent posts we hold for this entry, published 15 July 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
纽约客-22.09.2026 文章剖析AI智能体失控事件,指出美国缺乏适配人工智能的法律监管;报道得州高校整治“觉醒思想”引发的校园言论争议;专访普利策奖作家芭芭拉·金索沃,解读其创作与新作;深度披露以色列“卡塔尔门”丑闻,内塔尼亚胡助手涉嫌收受卡塔尔资金炮制舆论。同时收录短篇小说、诗歌,书评评析《Ply》与汤姆·布雷迪传记,也涵盖文娱资讯与文化热点。 📌Download #纽约客
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巴伦周刊-19.09.2026 美国新设银行申请回暖,加密、Fintech成为主力,监管审核趋严。Anthropic临近2万亿美元估值IPO,AI安全风险与商业化冲突凸显;苹果主打端侧隐私AI。美联储加息25bp,市场预期进一步加息,经济学家提出通胀治理需财政政策配合。曼哈顿优质写字楼需求复苏,办公REITs存修复空间;日本出资建设美国大型气厂供给AI算力,项目风险突出;长期市政债收益率走高,具备配置价值。巴菲特卸任伯克希尔董事长;美股周度分化,道指回调、纳指收涨… 📌Download #巴伦周刊
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经济学人-19.09.2026 本期重点讨论AI军备竞赛,AI企业呼吁放缓研发,但美国优先维持对华AI优势,中美AI治理谈判阻碍重重。俄乌战争进入新阶段,俄新式无人机重创乌基础设施,乌冬季面临严峻民生与财政压力。发达经济体债务高企,美债收益率飙升。台海“地狱景观”无人机防御构想引发讨论。同时覆盖美国中期选举、中国青年失业与地下补习、胡塞武装威胁红海航运、法瑞等欧洲政局动荡、南非黑帮渗透国家机构,美联储加息、巴西新型有组织犯罪等全球政经社会议题… 📌Download #经济学人
❤20
Showing the 12 most recent of 37 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 18 September 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), 48,807 subscribers as measured 18 September 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.