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 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
31 measurements spanning 39 days, net +5. 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 22,919–25,194 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
15 Sept 2026, 06:38
24,911
-20
13 Sept 2026, 11:58
24,931
+1,347
11 Sept 2026, 12:38
23,584
-31
8 Sept 2026, 17:36
23,615
-18
5 Sept 2026, 12:19
23,633
-13
3 Sept 2026, 17:39
23,646
-39
2 Sept 2026, 12:35
23,685
-26
1 Sept 2026, 13:25
23,711
-113
31 Aug 2026, 15:46
23,824
-72
30 Aug 2026, 12:14
23,896
-36
29 Aug 2026, 10:58
23,932
-24
28 Aug 2026, 10:36
23,956
+775
27 Aug 2026, 11:34
23,181
-27
26 Aug 2026, 08:33
23,208
-468
25 Aug 2026, 12:06
23,676
-89
24 Aug 2026, 09:34
23,765
-71
22 Aug 2026, 16:36
23,836
-216
21 Aug 2026, 05:34
24,052
-101
20 Aug 2026, 05:35
24,153
-120
19 Aug 2026, 05:34
24,273
first reading
Engagement
69 posts held, back to 1 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
25.9%
avg views ÷ 24,911 subscribers
Avg views / post
6,460
37 posts measured
Reaction rate
0.321%
reactions ÷ views · ER floor
Posts in window
37
of 69 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 3 September 2026
Posts held
69 (1 August 2026 – 3 September 2026)
Views total
238,890
Reactions total
768
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:04 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
12m 09s
Average length
32s
Measured directly from 23 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
1,492 reactions across 69 posts, in 11 distinct kinds. The most used accounts for 14.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
213
14.3%
😱
183
12.3%
🙏
171
11.5%
😢
165
11.1%
👏
134
8.98%
⚡
131
8.78%
👍
115
7.71%
🤬
108
7.24%
🔥
100
6.70%
👎
91
6.10%
❤
81
5.43%
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 69 of the 69 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 1,492 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 1 August 2026 to 3 September 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.
😱 Рабочего ударило током во время обслуживания трансформаторной подстанции в Торжке — с ожогами его экстренно увезли в больницу Твери.
Инцидент произошёл 2 сентября на улице Старицкой во время плановых технических работ.
По предварительным данным, мужчина получил удар электрическим током и серьёзные ожоги.
После этого его госпитализировали в одно из медучреждений областного центра.
На место выезжал исполняющий об…
В Твери оштрафовали 18 водителей электросамокатов.
Рейд «Электросамокат» проходил в городе с 24 по 30 августа.
Инспекторы ГИБДД проверяли, как владельцы средств индивидуальной мобильности соблюдают правила дорожного движения.
За каждое нарушение назначили базовый штраф — 800 рублей.
👉 Тверь Онлайн#Тверь
😱 Peugeot встретился с деревом в Твери
19-летняя водитель не справилась с управлением на улице Тракторная и влетела в дерево. С травмами её госпитализировали
👉 Тверь Онлайн #Тверь
На водоёмах Тверской области за выходные составили 19 протоколов 🚤
Сотрудники ГИМС вместе с полицейскими провели рейды на реках и озёрах региона. Проверяли документы, знание правил судовождения и наличие спасательных жилетов.
Среди нарушений - превышение скорости, игнорирование навигационных знаков, стоянка в запрещённых местах, отсутствие документов и несоответствие лодок требованиям.
👉 Тверь Онлайн#Тверь
🎡 Опубликованы цены билетов на новое колесо обозрения в Горсаду:
➤ 800 рублей — стандартный билет;
➤ 400 рублей — для жителей Твери и области (при предъявлении документа с отметкой о регистрации);
➤ 300 рублей — для участников СВО, их семей, детей без попечения родителей, многодетных семей и пенсионеров;
➤ 100 рублей — детский билет (рост ребенка должен быть не более 110 см)
👉 Тверь Онлайн #Тверь
В Твери за три дня остановили 13 водителей с признаками опьянения.
Проверки проходили с 28 по 30 августа.
У 11 автомобилистов подтвердилось состояние опьянения — им грозит ответственность по статье 12.8 КоАП РФ, вплоть до штрафа и лишения прав.
Ещё двое отказались от медосвидетельствования.
Такие действия подпадают под статью 12.26 КоАП РФ и также могут привести к штрафу и лишению водительских прав.
Госавтоинспе…
🤨 Парень под Тверью угнал мотороллер под предлогом тест-драйва
Покупатель при встрече попросил протестировать транспорт, после чего просто уехал в неизвестном направлении, не отдав ни копейки
Полицейские быстро вычислили злоумышленника в Осташкове. Оказалось, что 25-летний парень изначально не планировал платить за покупку. Теперь на него завели уголовное дело за кражу, а мотороллер уже вернули законному владельцу
…
😱 В Ржеве водитель устроил опасное шоу на дороге
Вместо спокойной поездки — неожиданный манёвр, который явно вышел за рамки ПДД. Водитель нарушил правила и создал опасную ситуацию для других участников движения.
Что именно заставило его так рискнуть — пока неизвестно. Госавтоинспекция уже проводит проверку и пытается установить нарушителя.
Личность водителя установят — после этого ему придётся ответить за свой ман…
🚛 Две «Газели» столкнулись ночью на трассе под Тверью
Авария случилась на 147-м километре дороги. Один грузовик врезался в стоящий автомобиль
В ДТП пострадал 22-летний водитель одной из машин, сейчас он под присмотром врачей. Второй участник аварии не пострадал
👉 Тверь Онлайн #Тверь
⚡️В Твери разыскали вандала, который повредил остановку
На автобусной остановке у дома №4 во Дворе Пролетарки повредили стекло. Сумма ущерба составила 14 тысяч рублей.
Сотрудники полиции установили личность подозреваемого. Им оказался 36-летний житель Твери.
В отделе мужчина пояснил, что поссорился со своим знакомым, из-за чего в порыве злости ударил ногой по стеклу остановки.
В отношении фигуранта возбуждено уго…
🐦⬛️ В Твери появился ворон в красной шапке, его можно увидеть на стене напротив Достоевского, 2б
Автор граффити — художница Катя ХБ
👉 Тверь Онлайн #Тверь
👍15😢8
Showing the 12 most recent of 69 posts we hold for @tver6. 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.
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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Тверь Онлайн” (@tver6), 24,911 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/tver6.
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.