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 12 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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
14 measurements spanning 41 days, net -46. 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 7,959–8,019 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 09:00
7,966
-10
12 Sept 2026, 17:19
7,976
-10
8 Sept 2026, 10:40
7,986
-1
3 Sept 2026, 09:43
7,987
+10
31 Aug 2026, 11:58
7,977
-6
28 Aug 2026, 04:02
7,983
-5
25 Aug 2026, 02:58
7,988
-3
22 Aug 2026, 04:08
7,991
-10
18 Aug 2026, 15:54
8,001
+3
16 Aug 2026, 02:03
7,998
+4
12 Aug 2026, 03:22
7,994
-9
9 Aug 2026, 05:52
8,003
-7
6 Aug 2026, 12:51
8,010
-2
6 Aug 2026, 06:33
8,012
first reading
Engagement
60 posts held, back to 5 August 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.4%
avg views ÷ 7,966 subscribers
Avg views / post
1,630
10 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
10
of 60 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
60 (5 August 2026 – 28 August 2026)
Views total
16,275
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:33 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
7m 37s
Average length
1m 31s
Measured directly from 5 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
5 reactions across 3 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
100.0%
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 8 of the 60 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 5 August 2026 to 28 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 профессиональный праздник отмечают военные медики!
Это люди невероятного мужества и высочайшего профессионализма. Не просто врачи, а настоящие герои, которые ежедневно рискуют своей жизнью ради спасения других.
Особенные слова благодарности специалистам, кто выполняет свой долг на территории специальной военной операции. В условиях, когда каждая секунда на счету, вы проявляете самоотверженность, возвращая …
➡️Подробнее о вечерней диспансеризации в Самаре смотрите в нашем ролике ⬆️
#диспансеризация_63
#культурапрофилактики
#НацПроектАктивнаяЖизнь
#СамарскаяОбласть
🏃♀️🏃«Золотой дубль» самарских кардиологов: врачи выбирают активный образ жизни
Команда Самарского областного клинического кардиологического диспансера им. В.П. Полякова завоевывала золото в двух региональных марафонах.
В состав команды вошли ведущие специалисты учреждения:
👩⚕️заведующая отделением функциональной диагностики Елена Карпушкина
👩⚕️заведующая консультативно-диагностическим отделением для беременных…
🏃🏃Физическая активность – основа ответственного отношения к своему здоровью
🏄🏊 Пользу физических упражнений сложно переоценить. Спорт делает человека сильнее, выносливее и здоровее, снижает риск развития заболеваний.
Рекомендации в наших карточках ⏫
▶️Подписывайтесь на каналы Минздрава в МАХ и Rutube.
#культурапрофилактики
#СамарскаяОбласть
🩸 Жители отдаленных районов приняли участие в донорской акции
На этой неделе специалисты выездной бригады Самарской областной клинической станции переливания крови посетили два отдаленных района области с целью сбора крови у желающих жителей села Большая Глушица и Елховка. Дни донора прошли на базе центральных районных больниц.
✅По итогам акции заготовлено почти 50 литров крови, которая уже прошла на станции лабора…
🚶♀️Ходьба как лекарство: 5 причин больше двигаться
⭕Гиподинамия, или недостаток движения, признана одним из главных факторов риска хронических заболеваний.
🚶♂️🚶♀️Самый доступный и физиологичный способ его устранить- ежедневная ходьба.
Об этом в нашей рубрике #советыспециалиста рассказывает главный внештатный специалист министерства здравоохранения Самарской области по медицинской профилактике в г. о. Самара …
❤Впервые для всей семьи: в Тольятти прошла объединенная диспансеризация ветеранов СВО и их родных
В Тольяттинской городской клинической поликлинике №3 впервые в регионе прошел День здоровья семьи защитника Отечества - расширенный этап углубленной диспансеризации прошел не только для самих участников специальной военной операции, но и одновременно для членов их семей — жен, родителей и детей. Для обеспечения доступно…
❗️Приглашаем жителей региона пройти диспансеризацию
☀️Наслаждайтесь летом без забот. Пройдите диспансеризацию и будьте уверены в завтрашнем дне.
✔️ Основная цель обследования — своевременное выявление хронических неинфекционных заболеваний и факторов риска их развития.
➡️Напоминаем, профилактический медицинский осмотр проводится ежегодно. Диспансеризация граждан в возрасте 18-39 лет — один раз в три года, в возрас…
❓Почему сердце и сосуды любят движение?
Об этом рассказывает главный внештатный специалист министерства здравоохранения Самарской области по кардиологии, главный врач Самарского областного клинического кардиологического диспансера им.В.П.Полякова Дмитрий Дупляков:
✔️"Сердце и сосуды действительно "любят" движение, и это связано с несколькими важными аспектами их функционирования и здоровья.
✅В первую очередь физи…
⚽"Не просто увлечение, а осознанная профилактическая мера": самарские врачи выбирают спорт
➡️О роли футбола в жизни и работе рассказывает заведующий 30-м травматологическим отделением, врач травматолог-ортопед Самарской городской клинической больницы 1 им. Н.И. Пирогова, капитан сборной врачей Самарской области по футболу Александр Резниченко.
✔️"Для медицинского сообщества выбор футбола — это не просто увлечение, …
🤸♀️Медицинский психолог назвала 4 правила, как замотивировать себя заниматься спортом
Большинство людей осознают риски и последствия, к которым может привести малоподвижный образ жизни, но почему не получается заставить себя тренироваться или мотивация заканчивается очень быстро. Об этом рассказывает заведующая отделением медико-психологической помощи, медицинский психолог Самарской областной клинической психиатрич…
Выборы — это прежде всего люди!
Этой осенью пройдут выборы депутатов Госдумы, Самарской губернской думы, а также дополнительные выборы депутатов представительных органов в ряде муниципальных образований.
➡️Голосование будет проходить 18, 19 и 20 сентября.
Организовывать голосование на избирательных участках будут члены участковых избирательных комиссий. Это люди разных возрастов и профессий. Это наши родственники,…
Showing the 12 most recent of 60 posts we hold for @minzdrav63region. 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.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
Самара Тольятти Телеблог район Жигулевск Реклама Самарская область аренда квартиры работа недвижимость Чапаевск Новокуйбышевск @tltsity · 83,952 Telegram ranks this channel #36 of 78 here — alongside 77 others — read 9 September 2026
Злой самаритянин @zloysamarityanin · 34,588 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 3 September 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Минздрав Самарской области” (@minzdrav63region), 7,966 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/minzdrav63region.
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.
