Сорокин Михаил Николаевич, г. Зеленоград «Варан» Акварельная бум, масло, сухая кисть А2 2025 г. Боец с позывным «Варан». До призыва по мобилизации 6 лет работал на заводе по производству масляных и парафиновых эмульсий. В свободное время активный отдых (рыбалка, прогулки, спорт). В настоящий момент проходит службу в гвардейском мотострелковом полку 1429 на должности номер расчета гранатометного орудия. Награждён гео…

Channel
Художественная выставка 1429 в лицах
@vlicah1429
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
6subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004465915510 |
|---|---|
| Type | Channel |
| Username | @vlicah1429 |
| Description | Художественная выставка «1429 в лицах» подготовлена по инициативе волонтёров и командования Гвардейского полка 1429 при поддержке Благотворительного фонда «Знамя Победы» – это портреты наших Героев, которые были мобилизованы осенью 2022 г. |
| Created | 9 July 2026 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/vlicah1429 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:46 | 6 | no change |
| 8 Aug 2026, 09:00 | 6 | first reading |
Engagement
11 posts held, back to 9 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
- 258.3%
- avg views ÷ 6 subscribers
- Avg views / post
- 15.5
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 11 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 11 (9 July 2026 – 11 August 2026) |
| Views total | 124 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 22:46 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
- Photos
- 9
- Videos
- 1
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 2m 30s
- Average length
- 2m 30s
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.
Recent posts
Сорокин Михаил Николаевич, г. Зеленоград «Белый». Акварельная бум, масло,сухая кисть А2, 2025 г. Боец с позывным «Белый». До призыва работал менеджером в пиццерии, занимался футболом, боксом, тхэквондо, эндуро.
Овчинникова Мария Алексеевна, г. Москва «Астра» бум, уголь, 70х502025 г. Боец с позывным «Астра». До мобилизации служил в Воздушно-десантных войсках, работал спортивным аналитиком и занимался индивидуальным предпринимательством. В настоящий момент проходит службу в Гвардейском 1429 МСП, на должности старший инспектор взвода военной полиции. Награждён: медалями "Суворова", "Участник СВО", "За возвращение Крыма".
Овчинникова Мария Алексеевна, г. Москва «Портрет Е. А.Пушенко (Starый)» бум, уголь, 50х40 2024 г. Боец с позывным«Starый». До призыва по мобилизации работал электриком в московской больнице № 15. Погиб 2 декабря 2022 г. при исполнении воинского долга, закрыв собой товарища с позывным ЛОР. Награжден Орденом Мужества (посмертно).
Видео с открытия выставки в г.Клин
Овчинникова Мария Алексеевна, г. Москва «Кузя» бум, уголь, 70х50 2025 г. Боец с позывным «Кузя». Участвовал в парадах на Красной площади, сдавал нормы ГТО, был ежегодным участником Лыжни России, есть прыжки с парашюта. Погиб в звании: Гвардии сержант. Служил в рядах ПВО. Медаль "Участника Специальной Военной Операции" Государственная награда РФ орден Святого Георгия - Георгиевский крест IV степени Государственная на…
Овчинникова Мария Алексеевна, г. Москва« Кубик» бум, уголь, 70х502 025 г. Боец с позывным«Кубик». До мобилизации учился в Тимирязевской академии и работал в магазине Вкус Вилл. Служил в противотанковом взводе 2 МСБ гвардейского полка 1429 Погиб 02.12.2022 г. при исполнении воинского долга. Награжден Орденом Мужества (посмертно).
Овчинникова Мария Алексеевна, г. Москва, «Афон» бум, уголь, 70х50 2025 г. Боец с позывным «Афон». До призыва по мобилизации работал на производстве коммерческим директором. Погиб в 2025 г. при исполнении воинского долга. Награжден знаком отличия- Георгиевским крестом 4 степени и Орденом Мужества (посмертно).
👍Приглашаем вас посетить Художественную выставку "1429 в лицах. Москва" , которая пройдет с 20.07-17.08 по адресу г.Клин, ул.Крюкова, д.4. Торжественное открытие пройдёт 20.07.2026 в 15:00. Записаться можно через бот в телеграме: @Korpus_Za_bot Либо связаться с нами, через личные сообщения: +79853094282
Художественная выставка «1429 в лицах» подготовлена по инициативе волонтёров и командования Гвардейского полка 1429 при поддержке Благотворительного фонда «Знамя Победы» –это портреты наших Героев, которые были мобилизованы осенью 2022 г. и попали во вновь сформированный полк 1429. 👉🏻 Мы в МАХ 👉🏻 Канал Гуманитарный Корпус ZA Жизнь
Channel created
Showing the 11 most recent of 11 posts we hold for @vlicah1429. 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 — 962,446 of 1,478,351entries 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Художественная выставка 1429 в лицах” (@vlicah1429), 6 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vlicah1429.
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.