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
34 measurements spanning 52 days, net +202. 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 36,241–36,503 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
27 Sept 2026, 10:16
36,473
+13
17 Sept 2026, 12:37
36,460
+29
15 Sept 2026, 12:56
36,431
+28
13 Sept 2026, 17:56
36,403
-25
11 Sept 2026, 19:58
36,428
+3
9 Sept 2026, 09:55
36,425
+3
6 Sept 2026, 02:17
36,422
+2
4 Sept 2026, 00:19
36,420
+4
2 Sept 2026, 12:44
36,416
+21
1 Sept 2026, 13:43
36,395
+12
31 Aug 2026, 17:06
36,383
+3
30 Aug 2026, 17:23
36,380
+5
29 Aug 2026, 16:19
36,375
+1
28 Aug 2026, 19:04
36,374
+9
27 Aug 2026, 21:43
36,365
+5
26 Aug 2026, 20:03
36,360
+2
25 Aug 2026, 22:23
36,358
+16
24 Aug 2026, 19:02
36,342
-7
23 Aug 2026, 05:47
36,349
-1
21 Aug 2026, 14:44
36,350
first reading
Engagement
179 posts held, back to 1 August 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 90 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.22%
avg views ÷ 36,473 subscribers
Avg views / post
2,270
90 posts measured
Reaction rate
0.778%
reactions ÷ views · ER floor
Posts in window
90
of 179 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
Window
Rolling 30 days · latest post in window 27 September 2026
Posts held
179 (1 August 2026 – 27 September 2026)
Views total
204,047
Reactions total
1,588
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 15:59 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
≈4,310
Videos
≈275
Links
≈4,570
Lifetime counters from Telegram’s own channel header, read 27 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
3,012 reactions across 179 posts, in 45 distinct kinds. The most used accounts for 28.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
861
28.6%
😁
565
18.8%
❤
246
8.17%
🤡
198
6.57%
👀
168
5.58%
👎
96
3.19%
👏
82
2.72%
🤣
61
2.03%
👾
54
1.79%
👻
53
1.76%
🤓
51
1.69%
👨💻
46
1.53%
👌
43
1.43%
🐳
38
1.26%
🤔
31
1.03%
😱
30
0.996%
🔥
29
0.963%
🎉
28
0.93%
🤷♀
27
0.896%
🤬
26
0.863%
25 further kinds
279
9.26%
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 179 of the 179 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 3,012 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 179 most recent posts we hold, published 1 August 2026 to 27 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 179 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 179 most recent posts we hold for this entry, published 1 August 2026 to 27 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.
Trump 谴责试图控制 AI 的尝试,希望在美国文件中将其重新命名为 “Super Intelligence”
美国总统 Trump 在联合国发表讲话,明确拒绝任何通过全球主义方案控制 AI 的尝试。Trump 提议将美国文件中的 AI 重新命名为 “Super Intelligence” (SI),理由是 “artificial” 一词使其听起来像假的。他将 AI 的潜在威胁论比作 12 年前关于全球变暖的预言,并强调该技术的规模将超过工业革命或互联网。Trump 表示美国在 Super Intelligence 领域大幅领先中国,主张通过司法部在确保安全负责的前提下鼓励其增长,而非限制发展。Slashdot
🏷 #Trump #AI #SuperIntelligence #SI
📢 频道 👥 群组 📝 投稿
🖕8👍2🍌1😁1
Showing the 12 most recent of 179 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 · 29,128 Telegram ranks this channel #5 of 41 here — alongside 40 others — read 8 September 2026
📖Telegram数字图书馆 @TG_book_data · 30,414 Telegram ranks this channel #7 of 44 here — alongside 43 others — read 8 September 2026
Time经济观察 @TimeHorizonX · 20,875 Telegram ranks this channel #8 of 54 here — alongside 53 others — read 25 September 2026
即刻精选 @jike_collection · 35,824 Telegram ranks this channel #10 of 48 here — alongside 47 others — read 2 September 2026
ChatGPT / AI新闻聚合 @AI_News_CN · 22,071 Telegram ranks this channel #11 of 45 here — alongside 44 others — read 22 September 2026
FREE 中文 @freechinese · 27,572 Telegram ranks this channel #14 of 55 here — alongside 54 others — read 10 September 2026
中国数字时代 @cdtchinesefeed · 44,158 Telegram ranks this channel #18 of 60 here — alongside 59 others — read 29 August 2026
ahhhhfs|A姐分享 @abskoop · 306,126 Telegram ranks this channel #22 of 50 here — alongside 49 others — read 17 August 2026
APPDO 数字生活指南 @AppDoDo · 40,725 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 · 64,804 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 · 57,803 Telegram ranks this channel #26 of 60 here — alongside 59 others — read 24 August 2026
少数派sspai @sspai · 38,286 Telegram ranks this channel #27 of 58 here — alongside 57 others — read 31 August 2026
Yummy 😋 @GodlyNews1 · 69,298 Telegram ranks this channel #28 of 55 here — alongside 54 others — read 20 August 2026
黑洞资源笔记 @piracy6 · 77,423 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 · 125,239 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 21 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“科技&趣闻&杂记” (@kejiqu), 36,473 subscribers as measured 27 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.