Сплав на каяках, запуск воздушных змеев, квесты и экскурсии. Липецкая область встретила детей из Белгородской области. При поддержке Липецкого областного Совета депутатов и лично его председателя Владимира Серикова в канун Дня знаний для ребят организованы поездки в Елец и на Кудыкину гору. 16 детей от 8 до 16 лет. На их территории сейчас совсем непросто. Липецкая область решила поддержать своих соседей. Уверены,…

Channel
Липецк GO
@lipetskgo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
9,071subscribers
-75 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001645388657 |
|---|---|
| Type | Channel |
| Username | @lipetskgo |
| Created | 14 September 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/lipetskgo |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 00:37 | 9,071 | -4 |
| 13 Sept 2026, 03:36 | 9,075 | -8 |
| 9 Sept 2026, 12:57 | 9,083 | -11 |
| 4 Sept 2026, 09:40 | 9,094 | -12 |
| 1 Sept 2026, 03:56 | 9,106 | -1 |
| 28 Aug 2026, 20:16 | 9,107 | -6 |
| 26 Aug 2026, 01:55 | 9,113 | -2 |
| 23 Aug 2026, 03:46 | 9,115 | -7 |
| 19 Aug 2026, 23:26 | 9,122 | -6 |
| 16 Aug 2026, 16:44 | 9,128 | -4 |
| 13 Aug 2026, 05:24 | 9,132 | -5 |
| 10 Aug 2026, 00:29 | 9,137 | -10 |
| 6 Aug 2026, 21:30 | 9,147 | +1 |
| 6 Aug 2026, 10:17 | 9,146 | no change |
| 6 Aug 2026, 10:03 | 9,146 | first reading |
Engagement
70 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 31 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.23%
- avg views ÷ 9,071 subscribers
- Avg views / post
- 293
- 19 posts measured
- Reaction rate
- 1.00%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 70 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 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 70 (4 August 2026 – 28 August 2026) |
| Views total | 5,566 |
| Reactions total | 34 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 15:17 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
- 28m 11s
- Average length
- 2m 01s
Measured directly from 14 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
150 reactions across 42 posts, in 9 distinct kinds. The most used accounts for 64.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 97 | 64.7% | |
| ❤🔥 | 17 | 11.3% | |
| 👍 | 12 | 8.00% | |
| 🔥 | 10 | 6.67% | |
| 👀 | 4 | 2.67% | |
| 🤔 | 4 | 2.67% | |
| 🏆 | 3 | 2.00% | |
| 😁 | 2 | 1.33% | |
| 🆒 | 1 | 0.667% |
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 42 of the 70 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 150 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 4 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.
Recent posts
👋 Если в дверь постучат и заговорят о выборах — это может быть «ИнформУИК» В Липецкой области продолжается адресное информирование избирателей. В рамках проекта «ИнформУИК» организаторы выборов приходят к жителям домой, чтобы лично рассказать о предстоящем голосовании и ответить на вопросы. Смысл простой: важную информацию человек получает напрямую, без необходимости разбираться в десятках источников самостоятельно…
👍 Пирогов. Дагестан. Лето 1847 Третья серия фильма «Русские на Кавказе: Платов, Пастухов, Пирогов» В середине XIX века хирургические операции проходили без обезболивания, тяжелые ранения часто заканчивались ампутацией, и пациенты умирали от болевого шока. Хирург Николай Пирогов изменил эту систему. Первый громкий научный прорыв Пирогова произошел на Кавказе. В 1847 году он отправился в Дагестан, где в это время шл…
Возможно, вы уже занимаетесь добровольчеством, просто не называете это так 👉 Уступили место пожилому человеку 👉 Помогли донести тяжёлые пакеты 👉 Поддержали знакомого Такие поступки кажутся обычными, но именно с них начинается добровольчество. Чтобы помогать другим, не обязательно состоять в волонтёрской организации. Иногда мы уже делаем это каждый день. Сейчас у жителей Липецкой области есть общая цель — совершит…
❤🔥2
Posted without readable text
❤1
🦊 Помните «Лисичкин хлеб»? Теперь он появляется на стене в Ельце Художник TOR переносит на фасад историю, знакомую многим ещё со школы. Его новый мурал посвящён Михаилу Пришвину и одному из самых тёплых его рассказов — «Лисичкину хлебу». Лиса, заяц, девочка и сам писатель постепенно складываются в одну большую картину. Ваш путеводитель досуга в 📲 MAX
До школы меньше недели. Как не испортить последние дни каникул Чем ближе 1 сентября, тем больше тревоги у родителей. Нужно всё купить, вернуть режим, настроить ребёнка на учёбу и ничего не забыть. Но резкий переход от каникул к школьному графику может только добавить стресса. Татьяна Дьяконова хорошо знает эту ситуацию с двух сторон. В прошлом она работала учителем, а дома сама проходила через школьные сборы со св…
А ты зашёл в ту дверь? Иногда следующий шаг в карьере — не новая должность, а новые навыки. MBA — это обучение для тех, кто уже руководит, развивает бизнес или готовится к этому: здесь учат смотреть на задачи шире, принимать сильнее управленческие решения, работать с командой, стратегией и реальными бизнес-кейсами. 9 сентября в Липецком филиале Президентской академии РАНХиГС пройдёт День открытых дверей MBA. Можно …
👀1
🐿 Кажется, у липецких белок началась подготовка к Олимпиаде В городских парках заметили пушистых «гимнастов». С такой растяжкой до сборной уже недалеко ⚡️ Ваш путеводитель досуга в 📲 MAX
❤2❤🔥1
🫖 Елец отметит 880-летие за чашкой чая В городе впервые устроят «Чайный базар» с десятками вкусов и бесплатными дегустациями. Можно будет попробовать ароматные смеси и традиционные сорта, сравнить их и выбрать свой любимый. И всё это — бесплатно! 📅 Когда: 5–6 сентября, 10:00–19:00 📍 Где: Елец, сквер М. Пришвина Ваш путеводитель досуга в 📲 MAX
🏆2
❓ Вопрос «На какую зарплату вы рассчитываете?» кажется простым, пока не нужно ответить самому Назовёшь слишком мало — рискуешь занизить свою стоимость. Слишком много — можешь отпугнуть работодателя. Как выбрать правильную стратегию и не проиграть на старте, разбирает Татьяна Дьяконова в новом выпуске #ПроТруд. Ваш путеводитель досуга в 📲 MAX
🌅 Солнце буквально «село» на храм Редкий кадр поймали в селе Болховское Задонского округа. 📷 Фото: Иван Мосьянов Ваш путеводитель досуга в 📲 MAX
❤10
Showing the 12 most recent of 70 posts we hold for @lipetskgo. 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
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.
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.
@lipetskmediaru · 21,924
Telegram ranks this channel #18 of 44 here — alongside 43 others — read 22 September 2026
@lipetsk001 · 36,311
Telegram ranks this channel #18 of 36 here — alongside 35 others — read 1 September 2026
@gorod48ru · 58,961
Telegram ranks this channel #19 of 50 here — alongside 49 others — read 22 August 2026
@lipobl · 24,679
Telegram ranks this channel #20 of 68 here — alongside 67 others — read 15 September 2026
@lipetsktop1 · 50,260
Telegram ranks this channel #21 of 42 here — alongside 41 others — read 25 August 2026
@Lipetsk7 · 40,283
Telegram ranks this channel #27 of 40 here — alongside 39 others — read 9 September 2026
@liptown · 32,148
Telegram ranks this channel #27 of 96 here — alongside 95 others — read 5 September 2026
@rabota_v_lipetskeu · 31,610
Telegram ranks this channel #84 of 89 here — alongside 88 others — read 6 September 2026
This channel appears in 8 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Липецк GO” (@lipetskgo), 9,071 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/lipetskgo.
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.