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 25 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 57 days. 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 143–144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 06:16
144
+1
1 Sept 2026, 03:54
143
-1
24 Aug 2026, 13:23
144
+1
16 Aug 2026, 05:05
143
-1
8 Aug 2026, 21:30
144
no change
7 Aug 2026, 13:58
144
first reading
Engagement
11 posts held, back to 2 November 2025 — 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 11 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 17s
Average length
39s
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
87 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 29.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5420315771991497307
26
29.9%
👍
20
23.0%
❤
14
16.1%
custom 5449394813709327952
10
11.5%
🤩
7
8.05%
⚡
5
5.75%
custom 5276007696934391495
2
2.30%
💯
2
2.30%
🙏
1
1.15%
Custom emoji. 3 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 10 of the 11 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 2 November 2025 to 1 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 11 we hold a reading for · 18%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tiv_apofis. 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 11 most recent posts we hold for this entry, published 2 November 2025 to 1 August 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.
Смотрите, что сегодня увидел во дворе — сначала подумал, что это какой-то старый Marcos или самодельная реплика под европейский спорткар. Решил пробить номер и покопаться в истории — оказалось, машина гораздо интереснее.
Это советский самодельный автомобиль «Меркурий» 1982 года, построенный на агрегатах ВАЗ-2106. Стеклопластиковый кузов, задний привод, двигатель примерно на 75 л. с. Всего по этому проекту сделали ок…
Каждый день в 17:00 в центре Бреста проходит ритуал, который стал частью жизни города: фонарщик в исторической форме зажигает уличные фонари. Это не туристическое шоу, а живая традиция. Вечером здесь собираются десятки горожан и гостей. На фото — один из таких моментов: огонь вспыхивает, а вокруг — тихое ожидание.
Фонарщик приходит точно по расписанию, его маршрут и действия почти не изменились за годы. Местные ценя…
Внимание, важные новости! 👀
Формула-1 готовит революцию! В 2026 году нас ждёт самое масштабное изменение технического регламента за всю историю спорта.
#F1 #Formula1 #Автоспорт #Гонки #2026 #Регламент
Пит‑стоп за 1,82 секунды: рекорд Red Bull в «Формуле‑1»
На Гран‑при Бразилии 2019 года команда Red Bull установила один из самых впечатляющих рекордов «Формулы‑1»: полный пит‑стоп болида Макса Ферстаппена занял всего 1,82 секунды.
Как это удалось:
- в операции участвовало более 20 специалистов;
- каждый выполнял строго отведённую роль без задержек;
- пневматические гайковёрты срабатывали синхронно, минимизируя поте…
Mercedes 300SL: реинкарнация с характером.
Этот рестомод — не реставрация, а дерзкая переоценка легенды. Гоночный зелёный оттенок будто впитал дух старых трасс, а золотые сетчатые колёса добавляют современный акцент.
Посадка предельно низкая — автомобиль буквально стелется по асфальту. Каждая линия отточена, каждая деталь выверена: здесь нет компромиссов, только чистый перфекционизм.
Классика, переосмысленная на язык…
Showing the 11 most recent of 11 posts we hold for @tiv_apofis. 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.
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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“Ilya T.” (@tiv_apofis), 144 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/tiv_apofis.
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.
