5 вёрст Чехов pinned «Как добраться 🚉Общественным транспортом От ж/д станции «Чепелево» можно дойти пешком или дойти до ближайшей остановки «Посёлок Чепелёво», сесть на автобус №22, 60, 61, 1365 и проехать одну остановку до «Поворот на Репниково». От остановки повернуть направо…»

Channel
5 вёрст Чехов
@verst5gubernskiyles
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
77subscribers
+4 since we began measuring on 16 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004310353635 |
|---|---|
| Type | Channel |
| Username | @verst5gubernskiyles |
| Created | 20 September 2026 — measured — dated from the channel’s first post |
| First recorded | 16 October 2026 |
| Last confirmed live | 16 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 October 2026 |
| On Telegram | t.me/verst5gubernskiyles |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Oct 2026, 22:56 | 77 | +4 |
| 16 Oct 2026, 16:22 | 73 | no change |
| 16 Oct 2026, 15:47 | 73 | first reading |
Engagement
15 posts held, back to 20 September 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.
- ERR · 30 days
- 117.5%
- avg views ÷ 77 subscribers
- Avg views / post
- 90.5
- 12 posts measured
- Reaction rate
- 5.64%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 10 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 October 2026 |
|---|---|
| Posts held | 15 (20 September 2026 – 16 October 2026) |
| Views total | 1,086 |
| Reactions total | 53 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Oct 2026, 16:22 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
- 3s
- Average length
- 3s
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
53 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 45.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 24 | 45.3% | |
| 👍 | 17 | 32.1% | |
| 🎉 | 4 | 7.55% | |
| 🏆 | 3 | 5.66% | |
| ⚡ | 1 | 1.89% | |
| ❤🔥 | 1 | 1.89% | |
| 👌 | 1 | 1.89% | |
| 😍 | 1 | 1.89% | |
| 🤝 | 1 | 1.89% |
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 10 of the 15 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 53 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 20 September 2026 to 16 October 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.
Recent posts
Как добраться 🚉Общественным транспортом От ж/д станции «Чепелево» можно дойти пешком или дойти до ближайшей остановки «Посёлок Чепелёво», сесть на автобус №22, 60, 61, 1365 и проехать одну остановку до «Поворот на Репниково». От остановки повернуть направо и пройти вглубь домов к парку. От ж/д станции «Чехов» или автовокзала (находятся в одном месте): автобус №22, 23, 60, 61, 1365 до остановки «Поворот на Репников…
🪄Завтра-завтра первый старт 5 вёрст Чехов! Ждём всех в парке «Губернский лес»! Для удобства ссылка на точку в Яндекс Картах ниже: https://yandex.ru/maps/org/gubernskiy_les/97992328306?si=ym98tjtx8ycxefrf1h0x72u7jm Вход в парк со стороны улицы Земской, д. 21. От входа налево по прямой до шахматных столов. Как добраться разными способами, напишем в следующем посте, там много букв. ⏰Старт в 9:00 Волонтёры! Подтягива…
🎉4👍2
Всем привет! Список волонтеров на завтра такой: Организатор Андрей Чудайкий Брифинг новичков Аня Данрой Разминка Аня Данрой Брифинг общий Андрей Чудайкин Секундомер 1 Лев Гришин Секундомер 2 Люба А790092539 Карточки Оля Сахарных Сканер 1 Лена Терехова Сканер 2 Сергей Гришко А790096339 Маршал Анна Сайфуллина Замыкающий Аня Дякина Фотограф Яна Фотограф 2 Данила Алексеев Фотограф 3 Александр Егоров Помощник на площадке…
🔥3👍2👌1
🏃Чехов присоединился к всероссийскому проекту «5 вёрст» Это еженедельные мероприятия, которые проводятся в городских парках по всей стране. Участники могут преодолеть дистанцию 5 км (или сколько смогут) — бегом, шагом, скандинавской ходьбой или на инвалидном кресле. Можно бежать с детьми, детскими колясками и даже с собаками (но на коротком поводке и не больше одной на человека). Первый старт в нашем округе — 17 о…
🔥5🏆1😍1
📣 17 октября открывается новая локация — 5 вёрст Чехов! Антон Павлович Чехов, в честь которого назван город, был среди учредителей Русского гимнастического общества, основанного в Москве в 1883 году. А нынешние жители города решили традицию поддержать — и тоже основать кое-что спортивное! 🏃♀️ Трасса проходит в парке «Губернский лес» в два круга, почти без набора высоты. Основное покрытие — гаревая дорожка, местами…
👍5🏆2🔥1
Всем привет! У нас появилась страничка на сайте! Трек и все координаты тут👇🏼 https://5verst.ru/gubernskiyles/course/
🔥6
📣 Восстановлена работа NRMS (результаты и волонтёры) и личного кабинета участника Команда IT продолжает работу над восстановлением остальных сервисов ❤️
👍4
Сайт, NRMS и личный кабинет временно не работают Не переживайте, проблемы будут устранены. Команда IT работает на этим 🙏
5 вёрст Чехов pinned «Волонтёры, ваш выход! Каждый старт проходит только благодаря вам! Все-все, кто хочет помочь, оставьте свои контакты в таблице. Если не знаете, что написать в «Позиции», оставьте графу пустой. Чуть позже выложим раскладку по ролям: https://docs.google.com/…»
Волонтёры, ваш выход! Каждый старт проходит только благодаря вам! Все-все, кто хочет помочь, оставьте свои контакты в таблице. Если не знаете, что написать в «Позиции», оставьте графу пустой. Чуть позже выложим раскладку по ролям: https://docs.google.com/spreadsheets/d/1kOgvdZTKnxmCEG8ESxfHUND1P0ZtSBrbf1kHqCaUIng/edit?usp=sharing
👍4
🎌Финишная прямая к первому старту! 🎌 Последние два дня прошли в активной подготовке к официальному открытию 5 вёрст Чехов, которое состоится уже 17 октября 2026 года. 🔔 В пятницу наши организаторы приняли участие в общем тренинге 5 вёрст. Это была отличная возможность получить опыт, пройти важные организационные моменты и почувствовать себя частью большой команды. Особенно приятно было увидеть новые лица -спасибо, …
🔥2
Showing the 12 most recent of 15 posts we hold for @verst5gubernskiyles. 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
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 1 registered channel — 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 16 October 2026 — this entry's latest reading, not the date you are reading this.
“5 вёрст Чехов” (@verst5gubernskiyles), 77 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/verst5gubernskiyles.
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.