Local community — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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
5 measurements spanning 32 days, net -6. 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 869–877 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 14:56
870
-3
30 Aug 2026, 05:57
873
-2
16 Aug 2026, 09:08
875
-1
8 Aug 2026, 01:15
876
no change
7 Aug 2026, 18:12
876
first reading
Engagement
6 posts held, back to 12 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 29 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 36s
Average length
1m 18s
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
67 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 44.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
30
44.8%
❤
15
22.4%
🔥
11
16.4%
🫡
5
7.46%
🙏
3
4.48%
🕊
2
2.99%
👏
1
1.49%
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 67 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 12 July 2026 to 29 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.
Посетил новый центр реабилитации «Без Барьеров» на улице Гаврилова. Это уже второе отделение организации в Краснодаре, которая помогает людям с 2014 года.
На данный момент в центре проходят протезирование и реабилитацию более 20 участников СВО с ампутацией конечностей. Помощь каждому из них начинается с консультации врача. Затем идут снятие слепка для изготовления гильзы, сборка и настройка протеза и реабилитация.
…
Провели масштабную уборку мусора после сноса гаражей
В субботнике на Рождественской набережной приняли участие общественники, сотрудники администрации Западного округа.
Благодаря слаженной работе и использованию специализированной техники удалось полностью очистить участок: убрали строительные отходы и крупногабаритный мусор.
Территория заметно преобразилась, работы по благоустройству набережной обязательно будут …
Нас было больше 60 человек 💪
Прошла очередная игра в лазертаг в ЮМР. И мы очень рады, что с каждым разом нас становится все больше - в этот раз участие в соревнованиях приняли 64 человека!
Благодарим всех участников за активность, вовлечённость и отличную атмосферу.
Организаторы: команда «Бункер MAZE» совместно с Федерацией лазертага России в Краснодарском крае при поддержке проекта «Мир возможностей» партии «Един…
На выходных, во время подбора новой локации для лазертага, увидели упавшее дерево
Направили информацию в профильный департамент — коллеги оперативно отреагировали и устранили проблему.
Спасибо за быструю работу! Спорт полезен не только для здоровья, получается, но и для порядка в городе 😅 Приходите к нам на игры обязательно!
Алексей Егоров в МАКС
Сегодня имел честь поздравить Боровскую Раису Александровну с 90-летним юбилеем
Раиса Александровна — вдова ветерана Великой Отечественной войны, человек непростой судьбы и большой внутренней силы. На её долю выпали тяжёлые испытания, но она сохранила достоинство, мудрость и любовь к жизни.
Такие люди — живая история нашей страны, пример стойкости и преданности. Низкий поклон за всё пережитое и за тот вклад, которы…
Классно поиграли в лазертаг 🔥
В парке «Рождественский» в Юбилейном прошла игра в лазертаг, и это было очень здорово! Команда «Бункер MAZE» вместе с Федерацией лазертага России в Краснодарском крае при поддержке проекта «Мир возможностей» партии «Единая Россия» провели всё на отличном уровне.
Желающих оказалось немало — были и дети, и взрослые. Полностью оборудованная площадка, современное снаряжение, четкий инструк…
❤4👍4🔥3
Showing the 6 most recent of 6 posts we hold for @a_egorovv. 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.
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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Депутат АЛЕКСЕЙ ЕГОРОВ” (@a_egorovv), 870 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/a_egorovv.
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.
