Other / unclassifiable — 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 44% 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 the other topics.
Growth
61 measurements spanning 97 days, net +40. 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 12,922–13,216 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
12 Nov 2026, 17:20
13,095
-4
10 Nov 2026, 12:46
13,099
+1
9 Nov 2026, 02:27
13,098
-8
7 Nov 2026, 19:41
13,106
-4
6 Nov 2026, 14:56
13,110
-6
5 Nov 2026, 13:55
13,116
-4
4 Nov 2026, 13:34
13,120
-1
3 Nov 2026, 10:59
13,121
-4
2 Nov 2026, 09:26
13,125
-4
1 Nov 2026, 09:09
13,129
+1
31 Oct 2026, 08:18
13,128
-6
30 Oct 2026, 10:27
13,134
-9
29 Oct 2026, 07:37
13,143
-3
28 Oct 2026, 08:54
13,146
-13
27 Oct 2026, 06:15
13,159
-17
26 Oct 2026, 05:56
13,176
-2
25 Oct 2026, 06:10
13,178
-2
24 Oct 2026, 05:25
13,180
+3
23 Oct 2026, 03:16
13,177
-5
22 Oct 2026, 01:08
13,182
first reading
Engagement
93 posts held, back to 3 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.43%
avg views ÷ 13,095 subscribers
Avg views / post
1,240
28 posts measured
Reaction rate
5.33%
reactions ÷ views · ER floor
Posts in window
28
of 93 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 13 November 2026
Posts held
93 (3 August 2026 – 13 November 2026)
Views total
34,581
Reactions total
1,842
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 08:53 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
≈2,750
Videos
≈554
Links
≈221
Lifetime counters from Telegram’s own channel header, read 14 November 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.
Video runtime
4m 02s
Average length
30s
Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
5,339 reactions across 93 posts, in 5 distinct kinds. The most used accounts for 60.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
3,214
60.2%
custom 5289605456019356056
834
15.6%
💔
768
14.4%
😁
328
6.14%
custom 5289869055342180784
195
3.65%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 93 of the 93 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 5,339 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 93 most recent posts we hold, published 3 August 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 28 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Гоголь, Толстой и Достоевский писали длиннющие предложения, не потому что так мыслили.
И это факт.
Там, где надо по-хорошему поставить точку, они ставят точку с запятой. Почему?
Писателям в то время платили за количество страниц, а редакторы при быстрой вычитке ориентировались на точки.
Чтобы сократить, нужно понять, где кончается и начинается мысль. Убрать пару обычных предложений легко. Но убрать предложение на …
Эффект ностальгии по времени, в которое мы даже не жили
• Милла Йовович, предположительно 1999 год
• Джейсон Стэйтем с товарищем на фоне очереди в первый McDonald’s в Москве, 1990 год
• Михаил Барышников и 17-летняя Ума Турман
• Дональд Трамп с первой женой на Дворцовой площади в Ленинграде, 1987 год
• Уиллем Дефо (без комментариев)
• Сальвадор Дали выгуливает своего муравьеда по Парижу, 1969 год
• Чарли Чаплин праз…
Хейди Ламар — голливудская актриса 1930-40х, которая создала технологию, ставшую предшественником современных технологий беспроводной связи.
Без нее вайфая бы не было) Можно быть и умной и красивой и какой угодно 🫀️️️️️️
Пока Ницше болел, сестра зарабатывала
Ницше уже не мог защищать собственные идеи, а его произведения начали приобретать всё большую известность.
Элизабет получила контроль над рукописями брата и занялась их изданием. При этом она разделяла немецкие националистические и антисемитские взгляды, с которыми сам Ницше неоднократно конфликтовал.
Самый знаменитый пример — «Воля к власти».
Многие считают её последней больш…
Ницше попадает в психиатрическую клинику
Овербек застаёт друга в состоянии тяжёлого расстройства. Он возбуждён, временами поёт, играет на фортепиано, не может нормально говорить.
Врачи ставят диагноз, который тогда называли прогрессивным параличом. Его связывали с поздней стадией сифилиса.
Был ли у Ницше сифилис?
Долгое время нейросифилис считался общепринятым объяснением его состояния. Диагноз много раз пересматр…
Ницше начинает отправлять странные письма.
Историк Якоб Буркхардт получает письмо, где Ницше утверждает, что предпочёл бы оставаться базельским профессором, а не Богом, но тогда мир некому было бы создать.
В том же письме он сообщает, что в сущности является всеми именами мировой истории.
Оригинал письма хранится в Университетской библиотеке Базеля. Он датирован началом января 1889 года.
Послание получает и Козим…
Ницше сошёл с ума в 44 года.
Последние 11 лет жизни он почти не мог писать и говорить.
Он будто бы потерял рассудок, увидев, как избивают лошадь. Только достоверность этого эпизода вызывает серьёзные сомнения.
Настоящие документы последних дней его сознательной жизни гораздо интереснее легенды.
1888 год.
Ему 43–44 года. За спиной годы тяжёлых головных болей, проблем со зрением, пищеварением и бессонницы. При этом …
Я хочу кого-то, кто выбьет из меня всю дурь.
Кого-то настолько жизнеутверждающего, кто любит своё дело, амбиции, увлечен по-настоящему тяжелой работой.
Кого-то, кто будет драться за талант. В ком столько же ярости и боли, сколько во мне, но кто научился перерабатывать ее в страсть.
Кого-то, кто не отдаст ни капли ярости, ни крошки горя для разрушения себя и других.
Мне нужен стержень, убедительность. Я устала от …
«Я никогда не сдамся! Это противоречит моему представлению о естественной красоте. Я актриса и не хочу, чтобы на моем лице застыло одно выражение»
(с) Кейт Уинслет
Актрисы, которые не боятся стареть и призывают не закалываться и не перекраивать лицо. Как минимум, это портит актерские реакции.
Кейт Бланшетт:
«Я не буду с трибуны говорить женщинам о том, что они должны или не должны делать ─ я просто знаю, что работа…
«Моя женитьба на Натали (это, замечу в скобках, моя ....любовь) решена», из письма В. Ф. Вяземской, 1830 г. Какая по счету любовь была в жизни Пушкина?
2342%
334%
11324%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Художник Илья Репин дружил с Александром Пушкиным19%
Лев Толстой умер в Швейцарии12%
Джонни Депп и Олег Янковский сыграли в одном фильме24%
Иосиф Бродский был на похоронах Владимира Ленина44%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
custom 528960545601935605633
Showing the 12 most recent of 93 posts we hold for @doctriina. 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.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
«Моя женитьба на Натали (это, замечу в скобках, моя ....любовь) решена», из письма В. Ф. Вяземской, 1830 г. Какая по счету любовь была в жизни Пушкина?
2342%
334%
11324%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 93 most recent posts we hold, published 3 August 2026 to 13 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
With love, Alika @withlovealika · 27,111 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 25 September 2026
Эрих Мария Ремарк @remark_tsitaty_aforizmy · 20,754 Telegram ranks this channel #12 of 77 here — alongside 76 others — read 25 September 2026
мысли о жизни | алина солопова @alinasinspiration · 30,653 Telegram ranks this channel #30 of 70 here — alongside 69 others — read 6 September 2026
Мари в большом городе @naiznankumari · 20,298 Telegram ranks this channel #39 of 55 here — alongside 54 others — read 25 September 2026
SASHASENCE | новый маркетинг @sashasence · 23,902 Telegram ranks this channel #39 of 80 here — alongside 79 others — read 21 September 2026
малина маллер 🩶 @natalina_maller · 23,439 Telegram ranks this channel #54 of 55 here — alongside 54 others — read 18 September 2026
Наталья @natalis1348 · 19,694 Telegram ranks this channel #59 of 61 here — alongside 60 others — read 29 September 2026
пальцы в чернилах. @fetissia · 19,709 Telegram ranks this channel #72 of 75 here — alongside 74 others — read 29 September 2026
This channel appears in 8 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктрина” (@doctriina), 13,095 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/doctriina.
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.