Literature — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
30 measurements spanning 44 days, net +722. 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 12,116–13,199 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:18
13,029
-12
16 Sept 2026, 13:02
13,041
-14
14 Sept 2026, 18:57
13,055
-19
13 Sept 2026, 03:18
13,074
+9
11 Sept 2026, 07:17
13,065
+675
8 Sept 2026, 11:15
12,390
-9
5 Sept 2026, 06:37
12,399
-7
3 Sept 2026, 10:47
12,406
-4
2 Sept 2026, 03:32
12,410
-4
1 Sept 2026, 04:37
12,414
-5
31 Aug 2026, 05:28
12,419
-2
30 Aug 2026, 06:46
12,421
-4
28 Aug 2026, 02:35
12,425
-2
26 Aug 2026, 23:44
12,427
-3
26 Aug 2026, 00:46
12,430
+6
25 Aug 2026, 03:43
12,424
+74
23 Aug 2026, 23:43
12,350
+109
20 Aug 2026, 22:24
12,241
-3
19 Aug 2026, 19:33
12,244
-5
18 Aug 2026, 17:27
12,249
first reading
Engagement
40 posts held, back to 3 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.4%
avg views ÷ 13,029 subscribers
Avg views / post
2,260
6 posts measured
Reaction rate
3.74%
reactions ÷ views · ER floor
Posts in window
6
of 40 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 2 September 2026
Posts held
40 (3 July 2026 – 2 September 2026)
Views total
13,580
Reactions total
508
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:57 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.
Reaction mix
3,746 reactions across 40 posts, in 14 distinct kinds. The most used accounts for 58.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
2,188
58.4%
👍
714
19.1%
🔥
385
10.3%
👏
228
6.09%
🕊
53
1.41%
👀
49
1.31%
💊
44
1.17%
❤🔥
18
0.481%
✍
17
0.454%
💔
16
0.427%
🫡
16
0.427%
🙏
8
0.214%
⚡
7
0.187%
💅
3
0.08%
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 40 of the 40 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 3,746 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 3 July 2026 to 2 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.
Конец Второй мировой войны не стал победой добра над злом в том простом смысле, в каком это любят изображать. Он стал напоминанием о том, что даже самая справедливая победа не способна вернуть миллионы погибших, стереть разрушенные города или избавить человечество от соблазна вновь поверить, что насилие способно окончательно решить политические проблемы. История редко заканчивается в день подписания капитуляции.
Пос…
Когда правда становится неудобной, всегда находятся люди, готовые назвать её ложью. Но от смены названия факты не исчезают. Они лишь ждут момента, когда их снова смогут произнести вслух.
#ПамятиКаталонии
Подписывайся на Оруэлла & в Max
Человек начинает терять достоинство в тот момент, когда привыкает считать несправедливость естественным порядком вещей.
#СкотныйДвор
Подписывайся на Оруэлла & в Max
История показывает, что власть редко меняет человека мгновенно. Она делает это постепенно, почти незаметно. Вчерашний идеалист начинает оправдывать небольшие уступки, затем принимает исключения из собственных правил, а позже обнаруживает, что защищает именно те порядки, против которых когда-то выступал. Самое поразительное, что этот путь почти никогда не воспринимается им как предательство собственных принципов.
Каж…
Современный мир все больше становится похожа на Океанию из 1984 — новояз, двоемыслие, контроль над историей и образ внешнего врага. А также пропаганда и преследование за слова.
Наши коллеги "Временное правительство 2.0" подсвечивают самые абсурдные совпадения реальности с оруэлловским вымыслом. И при этом рассказывают о главных новостях экономики, закулисной борьбе элит и анализируют важные социальные процессы, будт…
Ненависть началась каких-нибудь тридцать секунд назад, а половина зрителей уже не могла сдержать яростных восклицаний. Невыносимо было видеть это самодовольное овечье лицо и за ним — устрашающую мощь евразийских войск; кроме того, при виде Голдстейна и даже при мысли о нем страх и гнев возникали рефлекторно. Ненависть к нему была постояннее, чем к Евразии и Остазии, ибо когда Океания воевала с одной из них, с другой …
Самая удобная ложь — та, которую повторяют настолько часто, что она перестает вызывать сомнения.
#СкотныйДвор
Подписывайся на Оруэлла & в Max
👍33💯33
Showing the 12 most recent of 40 posts we hold for @djoruell. 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
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Джордж Оруэлл | Цитаты” (@djoruell), 13,029 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/djoruell.
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.