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 21 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 41 days, net -2. 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 521–524 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 17:41
521
-1
9 Sept 2026, 06:17
522
-2
30 Aug 2026, 19:34
524
+1
8 Aug 2026, 04:02
523
no change
7 Aug 2026, 12:39
523
first reading
Engagement
7 posts held, back to 27 March 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 7 posts for this entry, the most recent from 8 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10s
Average length
10s
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
11 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
9
81.8%
😍
1
9.09%
🥰
1
9.09%
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 7 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 27 March 2026 to 8 April 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.
📍В Самаре стартовала Всероссийская специализированная выставка-конгресс «Город для жизни». Выставка проходит при поддержке Правительства Самарской области и регионального министерства энергетики и ЖКХ.
📝Открыла выставку пленарная сессия: «Национальный проект "Инфраструктура для жизни" - новые вызовы и новые возможности». Итоги реализации проекта подвел врио первого заместителя министра энергетики и ЖКХ Самарской обл…
💧 В поселке Комсомольский Кинельского района строят новый водозабор из подземного источника
В поселке Комсомольский есть проблема с качеством воды. И в этом году она будет решена благодаря федеральному проекту «Модернизация коммунальной инфраструктуры» нацпроекта «Инфраструктура для жизни».
🛠Работы по проектированию и строительству водозабора из подземного источника и разводящих сетей в поселок начались в 2025 году…
🚩Пространства возможностей: как по инициативе жителей благоустраивают города и села в России
Ухоженные парки, красивые набережные, удобные дворы с детскими площадками не только формируют новый облик населенных пунктов, но и становятся точками притяжения для молодых семей, открывают больше возможностей для туризма и бизнеса. Масштабные работы по благоустройству ведутся по всей стране благодаря федеральному проекту «Ф…
Как навести порядок в подъезде
Грязные полы, пыльные перила, забитый мусоропровод — это прямое нарушение прав жильцов. Поддерживать чистоту в местах общего пользования обязана управляющая организация (УО).
Рассказываем, какие рекомендации по уборке существуют и как повлиять на УО через приложение «Госуслуги Дом».
Скачать «Госуслуги Дом» и навести порядок в подъезде:
https://www.gosuslugi.ru/landing/mp_dom
#Госусл…
Телеграмм все больше замедляется. Переходи на наш канал в национальный мессенджер МАХ ⬇️
Новости, изменения в законодательстве, полезные советы и другая информация отрасли ЖКХ и других сферах жизни в канале минэнерго в МАХ👍
Весна по "Молодёжному" ☀️
Парк "Молодёжный" благоустроен по программе "Формирование комфортной городской среды" в 3 этапа. Популярен у жителей и летом, и зимой. А в такой тёплый, весенний день как сегодня - особенно хорош для прогулок🔆
🚩ПДС: стать участником программы просто и выгодно!
👍Программа долгосрочных сбережений – это государственный механизм формирования накоплений на длительный срок для важных жизненных целей.
ПДС ориентирована на дисциплину регулярных взносов и долгий инвестиционный горизонт.
✅Программа долгосрочных сбережений — один из механизмов позаботиться о своем финансовом будущем.
Присоединяйтесь!
👍1
Showing the 7 most recent of 7 posts we hold for @minenergo63region. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Злой самаритянин @zloysamarityanin · 34,588 Telegram ranks this channel #38 of 93 here — alongside 92 others — read 3 September 2026
Газпром межрегионгаз @news_mrg · 53,707 Telegram ranks this channel #67 of 94 here — alongside 93 others — read 31 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Министерство энергетики и ЖКХ Самарской области” (@minenergo63region), 521 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/minenergo63region.
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.