Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (5 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 24 June 2026 to 28 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @vologdaryssmir. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 6 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
8 measurements spanning 6 days, net +892. 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 17,548–20,771 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 11:25
18,816
-302
11 Aug 2026, 11:58
19,118
-124
10 Aug 2026, 15:02
19,242
-236
9 Aug 2026, 15:22
19,478
-514
8 Aug 2026, 16:05
19,992
-407
7 Aug 2026, 16:36
20,399
+2,479
6 Aug 2026, 18:32
17,920
-4
6 Aug 2026, 10:07
17,924
first reading
Engagement
16 posts held, back to 24 June 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.7%
avg views ÷ 18,816 subscribers
Avg views / post
2,190
10 posts measured
Reaction rate
13.9%
reactions ÷ views · ER floor
Posts in window
10
of 16 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 9 August 2026
Posts held
16 (24 June 2026 – 9 August 2026)
Views total
21,926
Reactions total
3,055
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 23:59 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
≈3,030
Videos
≈269
Links
≈945
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. 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.
Video runtime
2m 35s
Average length
1m 18s
Measured directly from 2 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
4,918 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 22.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,083
22.0%
👍
1,052
21.4%
🙏
1,048
21.3%
❤🔥
1,030
20.9%
🔥
705
14.3%
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 16 of the 16 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 4,918reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 24 June 2026 to 9 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.
В Шексне построили часть Никольской набережной
Зону отдыха создают на улице Шлюзовой. Здесь завершился первый этап благоустройства. На работы было выделено около 4,7 миллиона рублей.
«Установили 20 шезлонгов и 10 бетонных тумб, смонтировали бортовые камни. Убрали аварийные деревья и старые пни, сохранили декоративные кустарники и молодые деревья, высадили шаровидные ивы. На подготовленном участке обустроили новую п…
Кириллов станет новой столицей «Серебряного ожерелья» в свой 250-летний юбилей
Кириллов готовится к масштабному празднованию 250-летия. Одним из ключевых событий праздничной программы станет торжественная церемония передачи Кириллову статуса столицы «Серебряного ожерелья России». Город примет эстафету туристического проекта 15 августа.
«Крупнейший туристический центр Вологодчины официально примет это звание от горо…
774-летие отметила Устюжна
В Угличской летописи 1252 года город назван Устюгом Железным. Название связано с Железным полем — местностью, богатой болотной рудой.
В XVI-XVII веках Устюжна стала одним из крупнейших центров металлургии и оружейного дела Русского государства. Здесь работали десятки кузниц, изготавливали оружие и решётки для башен Московского Кремля.
«Привели в порядок детский сад, Культурный центр, шко…
Губернатор Георгий Филимонов встретился в Москве с Министром науки и высшего образования Российской Федерации Валерием Фальковым.
На встрече обсудили ключевые направления развития научно-образовательной инфраструктуры региона.
В числе приоритетных объектов – строительство межуниверситетского кампуса инженерного образования, который будет создан в Череповце по поручению Президента Владимира Путина.
В числе объектов…
Более 90% юных вологжан занимаются в кружках и секциях.
Это один из лучших показателей эффективности системы дополнительного образования.
В новом учебном году для детей доступны более 6 тысяч программ. Наибольшей популярностью пользуются художественное, физкультурно-спортивное и техническое направления.
Развивать способности и таланты детям помогают:
🔹 180 центров образования «Точка роста»;
🔹 8 детских технопарков…
Меры поддержки семей в Вологодской области работают — на встрече с Президентом Российской Федерации Владимиром Владимировичем Путиным это отметила Председатель Совета Федерации Валентина Ивановна Матвиенко.
Демография стала одной из приоритетных тем доклада Главе государства. Валентина Ивановна уточнила, что самый положительный результат по снижению количества абортов зафиксирован в Вологодской области — их число со…
74 выпускника Вологодской области сдали ЕГЭ на 100 баллов.
Основной период ЕГЭ завершился на Вологодчине. Выпускники набрали максимальный результат сразу по нескольким дисциплинам: русскому языку, профильной математике, физике, информатике, биологии, химии, литературе, истории и английскому языку.
Особая гордость — четыре выпускника, которые получили 100 баллов сразу по двум предметам:
✔️ Ярослав Белов — Вологодски…
Более 200 байкеров со всей России проедут от Москвы до Ферапонтово.
С 24 по 26 июля Вологодчина примет Всероссийский мотопробег, приуроченный к предстоящему Дню Крещения Руси.
Мотоциклисты преодолеют около 600 км по маршруту «Москва — Вологда — Кириллов — Ферапонтово». Он ведет к местам, связанным с житием преподобных Кирилла и Ферапонта, которые основали Кирилло-Белозерский и Ферапонтов монастыри.
В мотопробеге …
🕊 На Вологодчине вышел новый номер туристического журнала «БАСКО».
Выпуск знакомит читателей с главными событиями в сфере туризма и культуры, новыми маршрутами и гастрономическими традициями региона.
На его страницах — материалы:
📍о Музее традиционной культуры Китая в Вологде;
📍о Культурно-туристическом центре «Вологда» на Невском,12;
📍о новых туристических маршрутах;
📍о гастрокоде Вологодской области.
Как отметил…
Вологодское кружево покоряет Дальний Восток и знакомит с традициями Русского Севера.
7 июля в Музее изобразительных искусств Комсомольска-на-Амуре открылась выставка «Вологодчина кружевная» из собрания Вологодского государственного историко-архитектурного и художественного музея-заповедника.
После успешного показа в Хабаровске, который посетили почти 12 тысяч человек, уникальная коллекция продолжает знакомить жител…
Россия совершенствует свои вооруженные силы, заявил Путин
И другие заявления президента РФ на форуме Народного фронта "Все для Победы":
🔹Русофобская часть коллективного Запада борется с РФ, но Россия идет вперед и добивается успехов;
🔹Россия совершенствует свои вооруженные силы;
🔹Народный фронт полностью себя оправдал за 15 лет существования;
🔹Активисты ОНФ всегда на острие решаемых страной проблем;
🔹Путин назв…
Абитуриенты подали более 4 тыс. заявлений на обучение в учреждения среднего профессионального образования Вологодчины.
Всего в этом году в колледжах и техникумах региона открыто 8 452 бюджетных места — на 101 больше, чем в прошлом.
Набор ведётся по 98 специальностям в 37 колледжах и техникумах области. Впервые открыт приём по новым востребованным направлениям:
✔️ «Автоматические системы управления»;
✔️ «Наладчик ап…
🙏78👍63❤🔥59❤54🔥44
Showing the 12 most recent of 16 posts we hold for @kultyraVO. 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.
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.
“КультПросвет🎨” (@kultyraVO), 18,816 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kultyraVO.
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.
