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 21 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
6 measurements spanning 38 days, net -7. 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 419–428 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 06:55
420
-1
4 Sept 2026, 10:57
421
-3
27 Aug 2026, 19:35
424
-1
20 Aug 2026, 15:06
425
-2
6 Aug 2026, 19:30
427
no change
6 Aug 2026, 18:19
427
first reading
Engagement
20 posts held, back to 27 February 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 1 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
476 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
209
43.9%
❤🔥
86
18.1%
🔥
73
15.3%
🎉
22
4.62%
custom 5895554616258465686
21
4.41%
👍
21
4.41%
🤝
10
2.10%
custom 5352637915019095622
8
1.68%
🥰
8
1.68%
✍
5
1.05%
🤗
5
1.05%
🎄
4
0.84%
🤯
2
0.42%
💔
1
0.21%
😱
1
0.21%
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 20 of the 20 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 476 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 27 February 2026 to 1 July 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
6
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @majorsormusbooks. 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 20 most recent posts we hold for this entry, published 27 February 2026 to 1 July 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.
The shares total 131%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Друзья, сегодня у меня день рождения 🎂
Жизни моей (и психики) сейчас не хватает на блог, к сожалению. Но спасибо всем тем, кто всё ещё со мной. Знаю, что пишу это не в первый раз, но раскачаюсь же я когда-нибудь. Сейчас у меня другие приоритеты и вообще взгляд на социальные сети. Но это не значит, что я не читаю вас! Читаю, просто втихаря. 😶🌫
Всем любви и добра от лица именниницы, и давайте по-праздничному выберем…
Минсу Кан, «Тоска по нерассказанной истории» (2024)
Меланхоличная и спокойная история про человеческую память, взаимосвязь мифологии и реальности и проживание утраты. Я нечасто обращаю внимание на новинки, но меня легко заманить обещаниями тонкой взаимосвязи между реальностью и вечными выдумками о богах, чудовищах и героях.
В поэтически названном выдуманном государстве, сочетающем в себе культуры Китая и Кореи, на…
Садек Хедаят, «Слепая сова» (1937)
Если вам вдруг захочется прочитать поток сознания в духе нервических писем Кафки, приправленный суфийской мистикой, зороастрийскими символами и скрещенный с опиумным бредом при температуре 39 — вам к Садеку Хедаяту. Человек сложной судьбы и депрессивного склада, Хедаят искал и не находил себя ни в родном Иране, ни в Европе.
Формально повесть «Слепая сова» можно пересказать парой ф…
The shares total 148%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Друзья!
В последнее время мне было тяжело заставить себя вести канал, как и многие взаимодействия в принципе. Лето внушает мне силы и надежду, как всегда, поэтому я потихоньку буду реанимировать канал и всё остальное — не удивляйтесь, если я отвечаю на сообщения, которым месяц. Хочется сказать: вот такой я чебурашка 🐰 , но шутка не смешная, понимаю.
В общем, спасибо всем, кто ещё остался на канале, у меня поднакопи…
Ло Гуань-Чжун, «Троецарствие» (XIV век)
Я переиграла и уничтожила сама себя, когда легкомысленно заложила на чтение этого романа месяц. Оказаться внутри гигантского китайского средневекового эпоса, где по субъективным ощущением примерно десять тысяч персонажей, которых зовут подчас практически одинаково, было too much. Но грызть кактус пришлось, о чем я в итоге даже не жалею.
Литература Китая держится на столпах че…
Эд Сизар, «Мотылек и гора»
Давайте познакомимся с Морисом Уилсоном, ветераном Первой мировой. Английский юноша, как и всё его поколение, прошел через мясорубку невообразимой доселе войны. Очутившись в так называемой мирной жизни, Морис отчаянно пытался вписаться в послевоенный мир, но не смог. Будучи авантюристом по натуре, Уилсон очень своеобразно переживал симптомы ПТСР. И та дорога, которую он для себя избрал, сд…
В апреле, помимо Польши, мне выпал Китай. Я решила не мелочиться и с головой нырнула в один из главных эпических романов древности — «Троецарствие». Честно погрузилась в него чуть ли не в начале месяца, и на данный момент осилила только 2/3 первого тома, потому что растерялась, запуталась и ужаснулась количеству героев, локаций и званий. Кто читал, тот знает. Даже шпаргалки из интернета не сильно спасли: это тот тип …
Марек Хласко, «Красивые, двадцатилетние» (1966)
Я очень люблю роман Анатолия Мариенгофа «Циники», и это название можно было бы смело сделать подзаголовком и к книге Хласко. Формально это автобиография, заряженная всем на свете — от юмористических похождений в социалистической Польше до размышлений о писательстве, эмиграции и политике. Хласко прожил короткую и, скорее всего, не очень счастливую жизнь, будучи разочаро…
Иво Андрич, «Мост на Дрине» (1945)
Иво Андрич — единственный югославский писатель, удостоенный Нобелевской премии по литературе. Читая «Мост на Дрине», я вспомнила, за что так люблю литературу первой половины двадцатого века. Это эпохальный роман, но без лишней патетики. Страшный, как страшны времена, в которые сам Андрич работал над книгой. Но при этом мудрый и спокойный, утешающий в минуты отчаяния от творящегося …
❤🔥16❤11👍3🎄1
Showing the 12 most recent of 20 posts we hold for @majorsormusbooks. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 5 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.
The shares total 131%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 148%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 150%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 20 most recent posts we hold, published 27 February 2026 to 1 July 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.
Mentions
Named by 2 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.
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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“sormus books” (@majorsormusbooks), 420 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/majorsormusbooks.
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.