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 54% 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 2 other registered channels. They sit inside a group of 4 channels that share the same post bodies with each other. 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 (6 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. 1 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 29 comparable posts for this entry, running 3 August 2026 to 7 August 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 4, the earliest publisher we hold is @igorkalchenko. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 8 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 3 other registered channels, 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.
36 measurements spanning 50 days, net -363. 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 27,446–27,917 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
24 Sept 2026, 21:01
27,500
-31
18 Sept 2026, 13:39
27,531
-17
16 Sept 2026, 07:21
27,548
-6
14 Sept 2026, 11:55
27,554
-1
13 Sept 2026, 01:21
27,555
+1
11 Sept 2026, 04:59
27,554
-12
8 Sept 2026, 08:59
27,566
-33
5 Sept 2026, 04:01
27,599
-15
3 Sept 2026, 06:28
27,614
-25
2 Sept 2026, 03:53
27,639
-6
1 Sept 2026, 04:26
27,645
-9
31 Aug 2026, 04:06
27,654
-11
30 Aug 2026, 03:37
27,665
-8
29 Aug 2026, 05:53
27,673
-9
28 Aug 2026, 06:02
27,682
-18
27 Aug 2026, 04:34
27,700
-5
26 Aug 2026, 01:47
27,705
-10
25 Aug 2026, 01:24
27,715
-2
23 Aug 2026, 12:44
27,717
-9
21 Aug 2026, 19:56
27,726
first reading
Engagement
247 posts held, back to 3 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.9%
avg views ÷ 27,500 subscribers
Avg views / post
4,650
84 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
84
of 247 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 23 September 2026
Posts held
247 (3 August 2026 – 23 September 2026)
Views total
390,870
Reactions total
5,473
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 04:11 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
2h 06m
Average length
2m 13s
Measured directly from 57 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
16,088 reactions across 233 posts, in 16 distinct kinds. The most used accounts for 40.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😢
6,489
40.3%
❤
3,953
24.6%
🙏
1,886
11.7%
👍
1,773
11.0%
💔
893
5.55%
😭
551
3.42%
👎
120
0.746%
🤯
117
0.727%
🔥
100
0.622%
😁
74
0.46%
😱
44
0.273%
🤔
44
0.273%
👏
22
0.137%
🥰
10
0.062%
⚡
9
0.056%
🤩
3
0.019%
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 246 of the 247 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 17,242 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 247 most recent posts we hold, published 3 August 2026 to 23 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.
Спрямовуємо понад 157 млн грн із резервного фонду на відновлення та захист енергетичних об’єктів у двох прифронтових регіонах — Сумській та Херсонській областях.
107 млн грн передбачені для Сумщини на відновлення енергетичного об’єкта, від якого залежить тепло для майже 160 тисяч родин.
Ще 50 млн грн спрямовуємо Херсонщині на додатковий захист восьми енергетичних об’єктів. Там облаштують інженерні конструкції та ан…
❗️Керованими авіабомбами ворог завдав удару по Сумах
Попередньо, зафіксовано три удари по Зарічному районі міста.
• Ворог атакував житловий сектор, об’єкти цивільної інфраструктури та нежитлову забудову. Пошкоджені автомобілі. На місці одного з влучань виникла масштабна пожежа.
• Чотирьох поранених уже доставили до лікарні. Медики надають їм усю необхідну допомогу.
Інформація щодо постраждалих та усіх наслідків в…
Ветерани, які потребують постійної допомоги, можуть отримати безоплатні послуги з довготривалого медичного догляду
▫️Хто може скористатися:
- учасники бойових дій;
- люди з інвалідністю внаслідок війни.
Що входить до пакета послуг?
- медичний нагляд і супровід;
- контроль лікування та прийому ліків;
- профілактика ускладнень;
- знеболення та полегшення симптомів;
- підтримуюча реабілітація;
- психологічна та соціал…
У Сумах та області мають місце локальні планові відключення електроенергії, пов’язані з проведенням робіт у мережах.
Знеструмлення, пов'язані з ремонтними роботами, є майже щодня по всій Сумщини, тож публічно про них не сповіщується. Натомість про заплановані відключення споживачі завчасно отримують попередження в особистому кабінеті "E-Svitlo" та на електронну пошту (якщо її вказували при реєстрації в сервісі).
Як…
🔻Безпекова ситуація в Сумській області станом на ранок 23 вересня
❗Внаслідок російських обстрілів території області за добу є постраждалі серед мирних жителів.
⚫ У Сумській громаді внаслідок обстрілу далекобійною зброєю постраждала 69-річна жінка (гостра реакція на стрес).
Протягом доби, з ранку 22 вересня до ранку 23 вересня 2026 року, російські війська здійснили понад 40 обстрілів по 15 населених пунктах у 10 те…
❗️Цього ранку росіяни здійснили обстріл Сум далекобійною зброєю
Зафіксовано влучання на чотирьох локаціях у Ковпаківському районі міста: дві – у приватному житловому секторі, ще дві – по об’єктах цивільної інфраструктури.
• Попередньо, постраждала щонайменше одна людина. Їй надають необхідну медичну допомогу.
Тип озброєння та інформація щодо усіх наслідків обстрілу уточнюються.
☑️1110 ворожих БпЛА підрозділи Сил оборони знищили та подавили засобами РЕБ за цей тиждень
Серед знищених дронів – 754 ударних, 34 розвідувальних, 322 – подавлено засобами радіоелектронної боротьби.
За інформацією штабу зони ТрО, загалом за цей час у небі над Сумщиною виявили понад 1300 ворожих БпЛА.
84% з усіх виявлених безпілотників було знищено або подавлено РЕБ.
🫱🏻🫲🏼Дякуємо усім підрозділам, залученим до захи…
Понад 25 тисяч заяв на отримання коштів зимової підтримки подали жителі Сумщини до органів Пенсійного фонду області
▫️Працівники Фонду продовжують приймати заяви, роз’яснювати умови програми щодо виплати одноразової грошової підтримки у розмірі 19 400 грн та допомагати правильно оформлювати необхідні документи.
Заяви приймаються до 30 жовтня 2026 року.
Нагадаємо, що консультації щодо зимової підтримки можна отрима…
На Сумщині 22 патронатні родини допомагають дітям пережити складні часи
▫️Нині у патронатних сім’ях області виховується 30 дітей, котрі опинилися у складних життєвих обставинах. А від початку року турботу, безпеку й родинне тепло отримали 42 дитини.
Цьогоріч на Сумщині створили 10 нових патронатних родин.
Патронат – це можливість для дитини залишатися у сімейному середовищі, коли біологічні батьки тимчасово не мож…
Шановні споживачі електроенергії!
У Сумах є локальні планові відключення, пов'язані з роботами в мережах. Сповіщення про заплановані відключення споживачі отримують у особистому кабінеті "E-Svitlo", а також на електронну пошту (якщо її вказували при реєстрації в цьому сервісі).
Якщо у Вас зникло світло, перевірити причину та інформацію за вашою адресою можна в особистому кабінеті "E-Svitlo" та на сайті АТ "Сумиобле…
Будь серед своїх! Штурмова бригада «Лють».
Телефони: 0977252513, 0443651800
👍26❤10
Showing the 12 most recent of 247 posts we hold for @Sumy_news_ODA. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 18 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Кордон.Медіа @kordonmedia · 42,020 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 29 August 2026
Суми ⚡️Новини @sumy_insider · 23,774 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 17 September 2026
Суспільне Суми @suspilnesumy · 141,796 Telegram ranks this channel #12 of 80 here — alongside 79 others — read 13 August 2026
RDS-prostir @rdsprostir · 48,559 Telegram ranks this channel #14 of 73 here — alongside 72 others — read 4 September 2026
Здрасьте, приїхали!!!💬 @dkskdowoqpjjjjm · 20,975 Telegram ranks this channel #15 of 82 here — alongside 81 others — read 24 September 2026
Новини Суми | @sumypost @sumypost · 22,735 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 20 September 2026
Труха⚡️Суми @sumitruexa · 115,823 Telegram ranks this channel #15 of 77 here — alongside 76 others — read 14 August 2026
Sumyregion △ @sumyregion · 188,067 Telegram ranks this channel #15 of 76 here — alongside 75 others — read 12 August 2026
🇺🇦 В'ячеслав Чаус/ Чернігівська ОДА (ОВА) @chernigivskaODA · 34,701 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 2 September 2026
Суми: Головне @sumygolovne · 58,801 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 23 August 2026
🇺🇦Новини міста Суми🇺🇦 @sumy_2022_ua · 24,971 Telegram ranks this channel #18 of 91 here — alongside 90 others — read 15 September 2026
❗️Тривога. Сумська область @surenasumy · 87,764 Telegram ranks this channel #18 of 87 here — alongside 86 others — read 17 August 2026
SUMYLIKE TG @sumyliketop · 157,661 Telegram ranks this channel #19 of 86 here — alongside 85 others — read 14 August 2026
СУМИ / SUMY GO ∆ @sumygo · 191,116 Telegram ranks this channel #19 of 76 here — alongside 75 others — read 11 August 2026
Romny_online_original @romny_online_original · 20,733 Telegram ranks this channel #21 of 75 here — alongside 74 others — read 26 September 2026
News Sumy🇺🇦 @news_sumy24 · 71,360 Telegram ranks this channel #21 of 89 here — alongside 88 others — read 20 August 2026
СУМЩИНА 🇺🇦 @sumy_novyny · 27,447 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 10 September 2026
Женьок Вещає… @ZhenyokSay · 150,623 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 14 August 2026
"На межі" - медіа прикордоння @namezhy · 30,771 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 7 September 2026
klymenko_mvs @KlymenkoUA_Official · 4,198 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 5 September 2026
🇺🇦 Віталій Бунечко – голова Житомирської ОВА @zhytomyrskaODA · 23,314 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 25 September 2026
🇺🇦 Андрій Райкович/ Кіровоградська ОДА (ОВА) @kirovogradskaODA · 64,945 Telegram ranks this channel #25 of 82 here — alongside 81 others — read 21 August 2026
Сумы | Суми @sumy_sumy1 · 87,475 Telegram ranks this channel #25 of 91 here — alongside 90 others — read 17 August 2026
Шостка.INFO @shostkainfo_official · 66,931 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 21 August 2026
This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
2 Wikidata items name this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Обстріли Середино-Будської міської громади(uk.wikipedia.org) “…web|title=Сумська обласна військова адміністрація|url=https://t.me/Sumy_news_ODA/22120|website=Telegram|accessdate=2023-12-07}}.
====…” read 13 September 2026
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сумська обласна військова адміністрація” (@Sumy_news_ODA), 27,500 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/Sumy_news_ODA.
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.