💙 Добрые дела продолжаются! Активисты Единой России убрали территории у памятников, навели порядок у общественного колодца, покосили траву и очистили от сорняков общественные пространства. Уже привели в порядок объекты в Спасском, Чучковском, Касимовском, Сараевском, Александро-Невском, Пронском и Михайловском округах. Спасибо каждому, кто делает наши города и сёла чище и комфортнее!

Channel
Единая Россия. Рязанская область
@er_62
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
656subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001541844489 |
|---|---|
| Type | Channel |
| Username | @er_62 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/er_62 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 23:01 | 656 | no change |
| 6 Aug 2026, 22:48 | 656 | first reading |
Engagement
8 posts held, back to 4 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.80%
- avg views ÷ 656 subscribers
- Avg views / post
- 18.4
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 8 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 6 August 2026 |
|---|---|
| Posts held | 8 (4 August 2026 – 6 August 2026) |
| Views total | 147 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:01 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
- ≈20,200
- Videos
- ≈624
- Links
- ≈3,990
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Recent posts
✅ Председатель Фонда защиты детей Мария Львова-Белова на форуме «Территория смыслов» рассказала его участникам, что поддержка семей – одна из задач новой Народной программы. Среди тех направлений, в которых нужно работать особенно упорно, она отметила доступность жилья, качественное медицинское сопровождение беременности и родов, создание инфраструктуры для детей. «Это понятный маршрут: родился ребёнок — есть детск…
🏅 Андрей Макаров: «Спорт должен быть доступным и народным» Депутат Госдумы от Рязанской области отметил, что такую комплексную задачу поставил Президент Владимир Путин. «В новой версии Народной программы Единой России этой теме уделено особое внимание. Нужно обеспечить дальнейшее развитие спортивной инфраструктуры во всех регионах», — сказал Андрей Макаров. Примером эффективной работы он назвал Рязанскую область. …
Сергей Собянин дал интервью гендиректору ТАСС Андрею Кондрашову. Ряд заявлений члена Высшего совета Единой России и мэра Москвы: 🔹В регионах созданы миллионы рабочих мест в кооперации с Москвой 🔹Миллионы москвичей направляют гуманитарную помощь в зону СВО 🔹Сергей Собянин объяснил роль экономики мирной жизни на пути к Победе в СВО 🔹Развитие Центрального транспортного узла важно для развития экономики страны в цело…
✅ Единая Россия — №1 в бюллетене! В Центральной избирательной комиссии проходит процедура жеребьевки политических партий перед выборами в Госдуму. По её итогам стало известно, под каким номером какая партия будет указана в бюллетене.
👍Депутаты всех уровней участвуют в сборе наказов для новой народной программы Единой России Рязанцы направляют свои инициативы в общественные приёмные, региональный исполком и депутатам. В числе запросов избирателей – благоустройство, дороги, обновление социальных объектов. В области собрано более 23 тысяч наказов, по стране – свыше трёх миллионов. Партийцы встречаются с людьми, фиксируют обращения и доставляют их …
Интернет помнит все. Но помнит ли он правду? В мире, где контента больше, чем времени на его осмысление, слово становится главным инструментом манипуляции. Как западные медиа превратились в пропагандистскую машину? Как не дать себя обмануть в бесконечном потоке новостей? Почему анонимные каналы — это способ манипуляции? И как Голливуд десятилетиями формировал из русских образ врага? Ответы на все эти вопросы — в но…
Развитие диспансеризации — один из главных приоритетов в здравоохранении. Чем раньше выявить заболевание, тем проще и эффективнее его лечить. Поэтому продолжаем создавать все условия, чтобы заботиться о здоровье было удобно. Эту работу ведём по нацпроекту «Продолжительная и активная жизнь». В прошлом году диспансеризацию прошли 760 тысяч жителей Рязанской области. В этом году к началу августа профилактические осмотр…
Showing the 8 most recent of 8 posts we hold for @er_62. 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 — 616,491 of 1,160,990entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 2 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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Единая Россия. Рязанская область” (@er_62), 656 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/er_62.
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.