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 13 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
12 measurements spanning 40 days, net -31. 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 4,409–4,451 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 12:58
4,414
-2
8 Sept 2026, 19:41
4,416
-10
3 Sept 2026, 10:13
4,426
+7
31 Aug 2026, 02:15
4,419
-4
27 Aug 2026, 19:33
4,423
-6
25 Aug 2026, 01:33
4,429
-7
21 Aug 2026, 05:26
4,436
+1
17 Aug 2026, 19:26
4,435
-3
14 Aug 2026, 10:48
4,438
-3
10 Aug 2026, 20:34
4,441
-5
7 Aug 2026, 23:14
4,446
+1
7 Aug 2026, 09:03
4,445
first reading
Engagement
9 posts held, back to 14 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 6 pages 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 9 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 37s
Average length
49s
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
519 reactions across 9 posts, in 15 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
192
37.0%
❤🔥
84
16.2%
🔥
60
11.6%
🕊
44
8.48%
🎉
38
7.32%
👏
30
5.78%
💘
23
4.43%
👍
21
4.05%
🙏
8
1.54%
🍾
7
1.35%
💯
5
0.963%
🥰
3
0.578%
😢
2
0.385%
🏆
1
0.193%
🤣
1
0.193%
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 9 of the 9 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 519 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 14 July 2026 to 8 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.
Сегодня свой день рождения отмечает начальник парикмахерского цеха Алла Таза.
Алла Анатольевна, от всей души поздравляем с этим особенным днем, начинающим отсчет нового года жизни!
Желаем вдохновения, ярких идей, крепкого здоровья и радости в каждом дне! Пусть работа приносит только удовольствие, а счастье будет постоянным спутником вашей жизни!
Внимание!!!
Дорогие зрители НЭТа!
Старт продаж на спектакли НЭТа в ноябре откроется уже 1 сентября.
В афише вы найдете большое количество постановок, которые точно не оставят равнодушными. Среди них - «А зори здесь тихие» (премьера - 30 сентября) - пронзительная история о мужестве и цене подвига;
«Волки и овцы» - классика, которая каждый раз звучит по-новому;
«Чудо в большом городе» - свежий взгляд и неожиданные…
Коллектив НЭТа сегодня вспоминает основателя театра, народного артиста России Отара Джангишерашвили, которому сегодня, 29 июля, исполнилось бы 83 года.
Когда абитуриента Джангишерашвили, поступавшего в далеком 1961 году в Тбилисский театральный институт, спросили, зачем он поступает на режиссерский факультет, он ответил: «Хочу создать свой театр!».
И он создал Театр своей мечты - НЭТ, которому посвятил 30 лет своей…
Сегодня свой день рождения отмечает заведующий труппой НЭТа, заслуженный артист России Игорь Мазур. Мы от всей души поздравляем его с новым годом жизни и желаем сегодня и всегда любви в сердце и гармонии в душе! Пусть сил и оптимизма хватает для реализации всех задуманных планов и осуществления всех желаний!
А еще - прекрасного летнего отдыха, положительных эмоций и богатырского здоровья!
Этот вечер был волшебным благодаря вам!
А чтобы он остался с вами надолго, мы рады поделиться с вами фотографиями от прекрасного фотографа Марии Варламовой.
🔗 https://disk.yandex.ru/d/-rpDdwP_tjBVHw
До встречи в 38-м сезоне!
Волгоградский НЭТ торжественно завершил 37‑й театральный сезон масштабным гала‑концертом и церемонией вручения премии «ЛИЦА НЭТа».
Праздничный вечер провела директор НЭТа Ангелина Манжина. Она пригласила зрителей стать частью особенного события — финальной точки большого и яркого пути, который прошел театр. Зал был полон: в нем не осталось ни одного свободного места.
Ангелина Манжина вручила статуэтки и призы самым…
❤45❤🔥15🔥13💘4
Showing the 9 most recent of 9 posts we hold for @netvolgograd. 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Новый экспериментальный театр” (@netvolgograd), 4,414 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/netvolgograd.
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.