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 21 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
8 measurements spanning 37 days, net -5. 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 594–603 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 02:17
595
-4
6 Sept 2026, 02:02
599
-3
27 Aug 2026, 20:54
602
+2
20 Aug 2026, 22:33
600
-2
14 Aug 2026, 19:37
602
+1
8 Aug 2026, 03:05
601
no change
7 Aug 2026, 21:36
601
+1
7 Aug 2026, 20:05
600
first reading
Engagement
5 posts held, back to 15 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 5 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 19s
Average length
1m 19s
Measured directly from 1 video 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
24 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 25.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5298753603215855009
6
25.0%
custom 5298688311123023443
5
20.8%
custom 5298705697150636538
5
20.8%
custom 5298802106281530521
3
12.5%
custom 5298958052249083709
3
12.5%
custom 5298624797146651527
2
8.33%
Custom emoji. Every row above is a 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 5 of the 5 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 15 July 2026 to 7 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.
Кейс о субсидиарной ответственности директора и участника фирмы, исключенной из ЕГРЮЛ.
В 2025 году Арбитражный суд Москвы взыскал с юрлица неосновательное обогащение и проценты по ст. 395 ГК РФ. Решение вступило в силу, но должник его не исполнил, а в августе 2025 налоговая исключила его из ЕГРЮЛ.
У кредитора был выбор: подать возражения в налоговую и взыскивать с должника или дождаться исключения и предъявить иск …
Налоговые уведомления: что меняется с 1 августа
🔴Что произошло?
С 1 августа 2026 года налоговые уведомления на уплату имущественных налогов, а также исчисленного НДФЛ автоматически будут направляться в личный кабинет портала Госуслуги.
Если раньше для получения налоговых уведомлений на портале Госуслуг необходимо было подавать заявление-согласие, то теперь система станет полностью автоматической.
🔴Для чего это ну…
Чтобы налоги и штрафы не стали сюрпризом: главное о новых законах
🫥 До 2029 года заморожен лимит в 20 млн рублей для освобождения от НДС: Федеральный закон № 228-ФЗ от 04.07.2026
Что изменилось? ФЗ откладывает поэтапное снижение порога доходов, после которого упрощенцы обязаны платить НДС.
Как будет работать теперь?
🫥До 2028 года включительно — лимит остаётся на уровне 20 млн рублей
🫥В 2029 году — снизится до 15 м…
«ПАРУСА АДВОКАТУРЫ-2026»: ЛОВИМ ЦИФРОВОЙ ВЕТЕР
🫥Пока юридический мир спорит: заменят ли нейросети адвокатов, мы уже учим ИИ работать вместе с нами.
На форуме «Паруса адвокатуры» в Санкт-Петерубрге наш эксперт — адвокат Ольга Снеткова доказала: робот — не конкурент, а мощный ассистент, если знать, как им управлять.
🫥 Главный инсайт сессии: авторский метод Ольги Снетковой «Бутерброд» — 5 конкретных шагов для работы …
Showing the 5 most recent of 5 posts we hold for @advocatON. 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.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Адвокаты по делу: Бородин и Контора” (@advocatON), 595 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/advocatON.
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.
