3 measurements spanning 7 days, net -3. 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 642–645 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 07:19
642
-3
7 Aug 2026, 09:18
645
no change
7 Aug 2026, 09:01
645
first reading
Engagement
7 posts held, back to 20 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
1061.8%
avg views ÷ 642 subscribers
Avg views / post
6,820
7 posts measured
Reaction rate
0.187%
reactions ÷ views · ER floor
Posts in window
7
of 7 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
7 (20 July 2026 – 6 August 2026)
Views total
47,717
Reactions total
89
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 09:18 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.
Reaction mix
89 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
47
52.8%
❤
42
47.2%
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 7 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 89reactions 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 20 July 2026 to 6 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.
Совсем скоро новый учебный год. Ежегодно помогаем подшефным территориям справиться с задачей по подготовке образовательных организаций к его началу.
На регулярной основе посещаю учреждения образования, общаюсь с педагогами и родителями, чтобы потом совместно с администрациями подшефных территорий прорабатывать решение существующих проблемных вопросов с Министерством образования и науки Запорожской области.
В этом г…
В рамках системной работы регионов-шефов на воссоединенных территориях продолжается плановое обновление объектов жилищно-коммунальной инфраструктуры, обеспечивающих стабильное теплоснабжение населенных пунктов.
🔹 Специалистами Пензенской области завершен капитальный ремонт участка теплотрассы по улице Куйбышева в городе Токмак Запорожской области. Протяженность обновленного участка составила 314 метров.
Ввиду высок…
Рад сообщить, что мы выполнили программу модернизации систем водоснабжения текущего года в Токмакском и Пологовском муниципальных округах.
Переложили почти 2 км водопроводов, используя метод горизонтального направленного бурения, чтобы сохранить благоустройство в городе Пологи. Запустили в Токмаке четыре артезианские скважины.
Работы проводились в достаточно сложных условиях: рядом плотно пролегают существующие под…
Реализация наших проектов позволила на подшефных территориях с 2022 года запустить работу коммунальных предприятий, учреждений образования и здравоохранения, что повлияло на создание рабочих мест, а главное, способствует достижению главной цели — народосбережение.
Нашей первоочередной задачей было и остается восстановление коммунальной инфраструктуры, которая нужна людям для комфортной жизни.
Каждое утро начинаю с …
Подготовка к осенне-зимнему сезону, как и сам отопительный период, с 2022 года проходит на подшефных территориях при нашем непосредственном участии.
Сегодня на оперативном совещании обсудили выполнение плана подготовки к предстоящему отопительному периоду. Наша первоочередная задача — минимизировать риски возникновения аварий, особенно в социально значимых учреждениях. Для этого специалисты аварийно-восстановительны…
В рамках системной работы регионов-шефов на воссоединенных территориях ведется плановое обновление объектов жилищно-коммунальной инфраструктуры, обеспечивающих стабильное водоснабжение и водоотведение в населенных пунктах.
🔹 Специалистами Пензенской области выполнен ремонт насосной станции № 1 в селе Чапаевка Пологовского муниципального округа Запорожской области. На объекте произведена замена кровельного покрытия, …
В этом году в Пологовском муниципальном округе у нас было 10 объектов, из которых 4 объекта жилья и 6 объектов коммунальной инфраструктуры. Все запланированные мероприятия мы выполнили досрочно. Это позволяет нам обследовать и формировать технические задания для проектирования объектов на 2027 год. В следующем строительном периоде совместно с главой муниципального округа, ресурсоснабжающей организацией в сфере водосн…
👍11❤6
Showing the 7 most recent of 7 posts we hold for @kuvaitsevv. 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.
Citation-graph rank
Citation-graph rank — 351,897 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Кувайцев Виктор” (@kuvaitsevv), 642 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kuvaitsevv.
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.