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 20 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 30 days, net -13. 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 607–624 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 10:37
609
-2
6 Sept 2026, 08:57
611
-5
29 Aug 2026, 06:24
616
-3
21 Aug 2026, 19:38
619
-1
15 Aug 2026, 03:29
620
-2
14 Aug 2026, 04:31
622
first reading
Engagement
6 posts held, back to 27 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 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 6 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
54s
Average length
27s
Measured directly from 2 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
334 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 32.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
109
32.6%
custom 5229215484238397309
103
30.8%
custom 5206498968418138190
92
27.5%
🥰
30
8.98%
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 6 of the 6 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 334 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 27 July 2026 to 11 August 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.
«В Эдеме существовало два дерева: дерево жизни и дерево познания добра и зла»
🐚
Роман исландской писательницы Аудур Авы Олафсдоттир похож на медитативное путешествие в далекие дали - с ледяными реками, вулканами, дикой первозданной природой и необычным исландским языком.
🐚
Главная героиня, Альба, - лингвист, преподаватель, редактор. Все её построения мыслей связаны с формой слова и его внутренней историей. Однажды он…
💡💡💡💡💡🌸💡💡💡💡
Было прочитано 6 хороших книг.
Очень понравились «Агнес» Хавьера Пенья и «Сеансы одновременного чтения» Горана Петровича, которую я читала совместно с книжным клубом. А еще рада, что познакомилась с еще одним детективом Агаты Кристи.
Делитесь, какие книги в июле впечатлили вас.
#satisfy_literature #книгииюля
Хавьер Пенья «Агнес»
Допустимо ли использовать чужие судьбы как материал для искусства?
Скрывающийся под псевдонимом знаменитый писатель Луис Форет анонсировал свою последнюю книгу - биографию. Главная героиня, журналистка Агнес, в споре с начальством берётся за этот амбициозный проект, написать биографию загадочного писателя.
Сближаясь с ним, Агнес обнаруживает, что жизнь Форета полна странных совпадений и мрачны…
Желание собрать в подборку книжные подарки, обернулось фотосессией пушистого сыночки❤ (а он еще недоволен, что нельзя есть реквизит) #КотСевер 🐈⬛
Стивен Кинг «Волки Кальи». Начинаю собирать цикл «Темная башня», теперь уж точно.
Милорад Павич «Ящик для письменных принадлежностей» - один из моих любимых авторов в красивой серии от Магистрали.
«Дракула». Книга-сюрприз!Моя коллекция пополнилась пересказом любимой …
Showing the 6 most recent of 6 posts we hold for @anikorros_satisfy. 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.
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.
Классические книги @freeclassicbooks · 111,858 Telegram ranks this channel #12 of 72 here — alongside 71 others — read 14 August 2026
Книжный Вестник @duosoft_books · 120,035 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 14 August 2026
This channel appears in 2 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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“Страницы Севера” (@anikorros_satisfy), 609 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/anikorros_satisfy.
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.
