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 22 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 37 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 371–381 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 05:39
373
+1
6 Sept 2026, 04:02
372
-8
28 Aug 2026, 21:24
380
+2
21 Aug 2026, 20:16
378
-1
8 Aug 2026, 06:16
379
no change
7 Aug 2026, 15:22
379
first reading
Engagement
6 posts held, back to 19 June 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 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 40s
Average length
4m 50s
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
40 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 80.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
32
80.0%
👍
3
7.50%
🔥
3
7.50%
❤🔥
2
5.00%
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 40 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 19 June 2026 to 29 June 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.
🔤🔤🔤🔤 🔤🔤🔤🔤🔤❗️
Пришло время подводить итоги! Год получился насыщенным, ярким и по-настоящему творческим!
Мы старались ловить каждый важный момент школьной жизни и делиться им с вами — и вот что у нас получилось:
📸Фоторепортажи — 25 штук.
В каждом — эмоции, динамика и самые живые моменты школьных событий.
🎬Видеорепортажи — 22 работы.
От больших сюжетов до коротких динамичных роликов — мы пробовали разные форматы и…
🤍❤️❤️🤍❤️❤️
«Выпускной»
❤️Альбом с фотографиями, вы можете увидеть, перейдя по ссылке: https://vk.com/album-227635850_311338449
❤️Подписывайтесь на социальные сети нашей школы:
🎓Школа 1329 в MAX https://max.ru/id7729775619_gos
🎓Школа 1329 во ВКонтакте https://vk.com/sch_1329
На связи ваша Медиазона1329
#Предпрофкласс #ДОНМ
#Школа1329 #Школа1329Москва
❤❤❤❤ ❤❤❤❤❤
Этот день был наполнен эмоциями, улыбками и чуть-чуть грустью — ведь заканчивается целая глава жизни.
❤Наши 11‑классники попрощались со школой, с любимыми учителями и партами, за которыми сидели столько лет, и сделали уверенный шаг навстречу новому.
💫Было всё: трогательные слова, слёзы радости, тёплые объятия, красивые наряды и, конечно, бесконечные фото и видео — чтобы навсегда сохранить эти мгнове…
💛💛💛💛 💛💛💛💛💛💛
Мы врываемся в эфир с нашими последними итогами месяца в 2025-2026 учебном году!
💛В этом выпуске мы расскажем вам о самых важных событиях мая, о наших победах и достижениях!
💛Этот год выдался очень насыщенным и мы благодарим каждого, кто был с нами и остаётся до сих пор! Следите за нашими новостями уже в следующем учебном году!
💛Подписывайтесь на социальные сети нашей школы:
🎓Школа 1329 в MAX https…
🅰️🅰️🅰️🅰️ 🅰️🅰️🅰️🅰️🅰️
19 июня в детском научно-практическом медицинском центре Солнцево прошел концерт, посвященный Дню медицинского работника!
🎙Зал был наполнен представителями каждого из 12 отделений центра, а на сцене сияла участница телевизионных шоу «Х-Фактор» и «Один в один», а также член жюри шоу «Ну ка все вместе!» Ирина Олифер, которая спела всеми полюбившиеся песни.
☀️Ведущим мероприятия стал ученик 11 …
💛💛💛💛 💛💛💛💛💛💛
Медиакласс: подвели итоги учебного года и обменялись опытом на масштабном мероприятии для педагогов и кураторов!
💛10 июня состоялось долгожданное событие для всех, кто вовлечён в проект «Медиакласс в московской школе» — встреча, посвящённая итогам учебного года. Мероприятие прошло в РАНХиГС и собрало кураторов, педагогов и экспертов в сфере медиаобразования.
💛День получился насыщенным и продуктивным…
❤6👍3🔥3❤🔥1
Showing the 6 most recent of 6 posts we hold for @medizona1329. 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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“МЕДИАЗОНА1329” (@medizona1329), 373 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/medizona1329.
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.