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 76% 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
35 measurements spanning 51 days, net +3,224. 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 43,860–48,052 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 04:18
47,568
+104
19 Sept 2026, 08:41
47,464
+9
16 Sept 2026, 20:00
47,455
+54
14 Sept 2026, 21:37
47,401
+105
13 Sept 2026, 05:00
47,296
+2,004
11 Sept 2026, 05:56
45,292
+661
8 Sept 2026, 10:18
44,631
+14
5 Sept 2026, 03:57
44,617
+7
3 Sept 2026, 09:43
44,610
+13
2 Sept 2026, 00:44
44,597
-6
1 Sept 2026, 00:24
44,603
+9
30 Aug 2026, 21:45
44,594
+13
29 Aug 2026, 20:28
44,581
+23
28 Aug 2026, 18:03
44,558
+16
27 Aug 2026, 16:42
44,542
+18
26 Aug 2026, 20:11
44,524
+12
25 Aug 2026, 22:23
44,512
-1
24 Aug 2026, 20:14
44,513
-5
23 Aug 2026, 08:17
44,518
-2
20 Aug 2026, 17:14
44,520
first reading
Engagement
468 posts held, back to 4 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 105 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.92%
avg views ÷ 47,568 subscribers
Avg views / post
2,820
247 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
247
of 468 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
468 (4 August 2026 – 27 September 2026)
Views total
695,630
Reactions total
9,971
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 16:36 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
Links
≈30,800
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
19,554 reactions across 453 posts, in 60 distinct kinds. The most used accounts for 17.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
3,352
17.1%
🤡
2,081
10.6%
🤣
1,519
7.77%
🖕
1,393
7.12%
🔥
1,106
5.66%
🤮
1,049
5.36%
💊
829
4.24%
🤯
706
3.61%
👎
655
3.35%
😢
534
2.73%
❤
470
2.40%
🤪
434
2.22%
🫡
389
1.99%
🎉
366
1.87%
😱
359
1.84%
😭
351
1.80%
😨
325
1.66%
🥰
306
1.56%
🕊
279
1.43%
🆒
248
1.27%
40 further kinds
2,803
14.3%
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 468 of the 468 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 20,075 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 468 most recent posts we hold, published 4 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.
YouTube、TikTok 和 Meta 都拒绝投放马斯克纪录片的商业广告
2026-09-26 18:59 by 帕迪多街车站
负责发行 Alex Gibney 拍摄的马斯克(Elon Musk)纪录片《Musk》的公司 Bleecker Street 发现,主流社交平台 YouTube、TikTok 和旗下包括 Instagram 和 Facebook 的 Meta 公司,以及马斯克旗下的 X 平台都拒绝投放该纪录片的商业广告。这是一部批评马斯克的纪录片,X 平台拒绝能理解,但 YouTube、TikTok 以及 Meta 都拒绝令发行商感到意外,引发了少数几家公司掌控社交平台压制言论自由的担忧。YouTube、TikTok 和 Meta 都以政治内容相关的理由拒绝投放广告。Bleecker Street 对三家公司提起了上诉,Meta 已经驳回上诉,而 TikTok 和 YouTube 仍在审议中,X 平台则直接拒绝…
大象使用药用植物治疗自己
2026-09-25 22:28 by 月海沉船
非洲象会利用数十种药用植物治疗自身和家族成员的疾病。科学家和 Mount Elgon 基金会合作展开了这项研究,他们采访了在肯尼亚 Mount Elgon 地区与大象共同生活和工作的居民、野生动物巡护员和社区长者。根据采访者的描述,大象在身体不适时会选择特定的植物,而母象还会给幼象喂食药用植物。研究人员得出结论,大象会使用 35 种不同的植物,其中 25 种在当地已知具有药用价值。一位野生动物巡护员看到母象使用名为 Angurweet 的植物给幼象治病。Angurweet 可用于治疗包括胃痛在内的多种疾病。巡护员看到母象将植物嚼烂,与乳汁混合,喂给幼象,幼象咀嚼后吐出固体部分。公元三世纪的罗马作家 Claudius Aelian 在其作品《De Natura Animalium (On the Nature of Animals)》中最早描述了大象用…
全球平均气温每上升 1C 德国夏天气温上升 2.62C
2026-09-25 21:36 by 巨龙之日
全球平均气温正走在比工业化前水平高出 1.5°C 的轨道上。很多人可能会觉得升温幅度不大,可以接受或忍受。但地球绝大部分表面是海洋,海洋的升温幅度要缓慢得多,而陆地则显著得多,居民体会到的升温幅度要高得多。德国研究人员在《Environmental Research Letters》期刊上发表研究报告,指出全球平均气温每上升 1°C 德国夏天气温上升 2.62°C,范围在1.62-3.62°C 之间。当地热浪频率的增加速度会远远超过全球平均水平。
https://iopscience.iop.org/article/10.1088/1748-9326/aea4c9
#地球
💊25🔥5🎉2🤯2😈1
Showing the 12 most recent of 468 posts we hold for @solidot. 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.
Posts edited after publishing
@solidot edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
30 August 2026
Most recent edit
20 September 2026
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 28 August 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.
Iyouport @iyouport · 27,814 Telegram ranks this channel #1 of 55 here — alongside 54 others — read 10 September 2026
中国数字时代 @cdtchinesefeed · 44,158 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 29 August 2026
Time经济观察 @TimeHorizonX · 20,875 Telegram ranks this channel #3 of 54 here — alongside 53 others — read 25 September 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻) @cnbeta_com · 27,529 Telegram ranks this channel #4 of 55 here — alongside 54 others — read 10 September 2026
Appinn Feed|小众软件 @appinnfeed · 33,556 Telegram ranks this channel #4 of 52 here — alongside 51 others — read 4 September 2026
少数派sspai @sspai · 38,286 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 31 August 2026
看鉴中国 OutsightChina @OutsightChina · 41,309 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 29 August 2026
飛蛾書庫 @MothLib · 34,658 Telegram ranks this channel #5 of 50 here — alongside 49 others — read 3 September 2026
即刻精选 @jike_collection · 35,824 Telegram ranks this channel #5 of 48 here — alongside 47 others — read 2 September 2026
zaobao.sg 早报 @zaobaosg · 36,506 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 1 September 2026
小声读书 🙈 @weekly_books · 38,219 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 31 August 2026
每日消费电子观察 @CE_Observe · 75,036 Telegram ranks this channel #5 of 62 here — alongside 61 others — read 19 August 2026
竹新社 @tnews365 · 164,267 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 12 August 2026
知乎暴论 @mightyflame · 26,081 Telegram ranks this channel #6 of 42 here — alongside 41 others — read 13 September 2026
树洞🌳群友问❓有点意思🗳 @qunyouwen · 89,304 Telegram ranks this channel #6 of 67 here — alongside 66 others — read 17 August 2026
科技&趣闻&杂记 @kejiqu · 36,473 Telegram ranks this channel #7 of 48 here — alongside 47 others — read 1 September 2026
Newlearnerの自留地 @NewlearnerChannel · 67,412 Telegram ranks this channel #7 of 62 here — alongside 61 others — read 21 August 2026
赛博忏悔室 @cyber_confessional · 40,149 Telegram ranks this channel #8 of 35 here — alongside 34 others — read 30 August 2026
简中互联网废物大赏 @fucku_idiot · 40,459 Telegram ranks this channel #8 of 47 here — alongside 46 others — read 30 August 2026
蓝点网订阅频道 @landiansub · 45,199 Telegram ranks this channel #8 of 58 here — alongside 57 others — read 28 August 2026
LoopDNS资讯播报 @DNSPODT · 72,064 Telegram ranks this channel #8 of 59 here — alongside 58 others — read 20 August 2026
电报时报 @times001 · 84,754 Telegram ranks this channel #8 of 66 here — alongside 65 others — read 18 August 2026
风向旗参考快讯 @xhqcankao · 163,238 Telegram ranks this channel #8 of 45 here — alongside 44 others — read 12 August 2026
TG吃瓜黑料八卦 @baguabox · 33,433 Telegram ranks this channel #9 of 38 here — alongside 37 others — read 4 September 2026
This channel appears in 66 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Solidot” (@solidot), 47,568 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/solidot.
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.