National news — 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 (2 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 1 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 37 comparable posts for this entry, running 5 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 2, the earliest publisher we hold is @suspilnenews. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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 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.
32 measurements spanning 53 days, net +161. 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 21,920–22,240 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
28 Sept 2026, 09:58
22,186
-12
17 Sept 2026, 17:59
22,198
+6
15 Sept 2026, 17:59
22,192
-11
14 Sept 2026, 04:42
22,203
+229
12 Sept 2026, 13:37
21,974
-14
10 Sept 2026, 08:39
21,988
-8
7 Sept 2026, 03:40
21,996
-14
4 Sept 2026, 08:59
22,010
-3
2 Sept 2026, 20:42
22,013
+7
31 Aug 2026, 16:13
22,006
-6
30 Aug 2026, 19:44
22,012
-12
29 Aug 2026, 18:38
22,024
+5
28 Aug 2026, 19:44
22,019
-10
26 Aug 2026, 20:24
22,029
+16
25 Aug 2026, 21:07
22,013
+40
24 Aug 2026, 19:12
21,973
+16
23 Aug 2026, 07:09
21,957
-10
21 Aug 2026, 15:47
21,967
-4
20 Aug 2026, 10:54
21,971
+1
19 Aug 2026, 11:14
21,970
first reading
Engagement
644 posts held, back to 5 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 61 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.83%
avg views ÷ 22,186 subscribers
Avg views / post
1,740
148 posts measured
Reaction rate
1.45%
reactions ÷ views · ER floor
Posts in window
148
of 644 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 27 September 2026
Posts held
644 (5 August 2026 – 27 September 2026)
Views total
257,050
Reactions total
3,718
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 04:14 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
26m 38s
Average length
55s
Measured directly from 29 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
18,187 reactions across 643 posts, in 21 distinct kinds. The most used accounts for 31.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😢
5,805
31.9%
❤
3,473
19.1%
👍
2,210
12.2%
😁
1,451
7.98%
🤬
1,290
7.09%
😱
826
4.54%
🙏
786
4.32%
🔥
777
4.27%
🤔
489
2.69%
💔
415
2.28%
👎
229
1.26%
👏
217
1.19%
👻
71
0.39%
❤🔥
57
0.313%
🙊
50
0.275%
🥰
13
0.071%
🤷♂
10
0.055%
☃
7
0.038%
🤷♀
5
0.027%
🤝
4
0.022%
1 further kind
2
0.011%
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 643 of the 644 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 18,187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 644 most recent posts we hold, published 5 August 2026 to 27 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.
За добу через російські атаки в Україні загинули понад 10 людей, ще понад 25 — поранені:
🔹 На Київщині загинула одна людина, ще четверо постраждали. У Києві один загиблий вночі та дев'ятеро поранених впродовж дня. Вечері РФ атакувала ринок у Софіївській Борщагівці — попередньо двоє загиблих, є поранені, їхню кількість уточнюють.
🔹 На Запоріжжі четверо загиблих, п'ятеро поранених. Війська РФ били по Новотаврійському…
Головне за день. 27 вересня
▪️ 27 вересня в Івано-Франківську на площі біля драмтеатру відбулася мирна акція «Безвісти» на підтримку полонених та зниклих на війні військовослужбовців. На захід приїхали родичі воїнів з різних громад Прикарпаття.
▪️Спецпризначенець ГУР з Івано-Франківщини Віктор Максімко був серед 72 добровольців, які полетіли на гелікоптерах до оточеного Маріуполя у 2022 році. Одразу після приземлен…
Спецпризначенець ГУР з Івано-Франківщини Віктор Максімко був серед 72 добровольців, які полетіли на гелікоптерах до оточеного Маріуполя у 2022 році. Одразу після приземлення він прийняв бій, отримав поранення та поступився своїм місцем під час евакуації побратимові. Згодом Віктор Максімко прорвався з порту до «Азовсталі», де разом з оборонцями міста пережив російські авіаудари та голод.
За свідченнями побратимів, «а…
Священник Адріан, який постраждав під час нападу з ножем у монастирі в польському Ярославі, під час суботньої меси закликав не звинувачувати народ, до якого належить нападник.
Через два дні після нападу монастир знову відкрили для вірян. Там моляться за загиблого священника Станіслава Збойновича та чотирьох поранених.
Звинувачення у нападі висунули 31-річному українцю. Прокуратура Польщі заявила, що має питання щод…
Прикордонник Олександр Кручінін до повномасштабного вторгнення жив у Херсоні та 15 років працював на Укрзалізниці. Після окупації рідного міста у 2022 році він із родиною переїхав на Івано-Франківщину. Згодом мобілізувався у Державну прикордонну службу. Під час бойового завдання на Донеччині Олександр підірвався на міні, унаслідок чого втратив частину стопи. Наразі він проходить реабілітацію та хоче повернутися на фр…
За тиждень на активних ділянках фронту Сили оборони знешкодили понад 10 тисяч військових РФ убитими та пораненими. Про це президент Зеленський заявив після доповіді головнокомандувача Драпатого.
Йдеться про результати в межах операції «Вівальді» та ще однієї операції активної оборони ДШВ.
Найінтенсивніші бої тривають на Покровському, Костянтинівському та Лиманському напрямках. Також українські військові виконують з…
«Ми сподіваємося, надіємося і чекаємо, бо наша віра нас тримає. Вони захищали нас, тому ми — тут».
27 вересня в Івано-Франківську на площі біля драмтеатру відбулася мирна акція «Безвісти» на підтримку полонених та зниклих на війні військовослужбовців. На захід приїхали родичі воїнів з різних громад Прикарпаття. Вони привезли прапори підрозділів, плакати й фотографії своїх рідних, які зникли безвісти або перебувають …
Керівник Херсонської ОВА Олександр Прокудін заявив, що жителям тимчасово окупованих Олешок дронами доправили 4000 кг продуктів. Вантаж одночасно розподілили між ста визначеними локаціями міста.
"Свідоме блокування допомоги та створення голоду серед цивільного населення є воєнними злочинами без строків давності", — заявив Прокудін.
Відео: Олександр Прокудін/Telegram
Знищено склад Kärcher внаслідок російської атаки. Техніка та продукція згоріли, повідомили в компанії. Усі співробітники складу живі та перебувають у безпеці. Замовлення, які на момент атаки були на складі, затримано або скасовано. Компанія залучає альтернативні логістичні ланцюги постачання.
Вранці 27 вересня на полонині Хом'яківка поблизу гори Хом'як у Карпатах у туриста, який перебував разом із товаришем, погіршилося самопочуття. Знадобилася допомога рятувальників.
Україні необхідні розширені можливості та більше покриття для Starlink і Starshield, щоб ефективно протидіяти та знищувати російські ракетні установки, заявив керівник ОП Буданов. За його словами, наявного супутникового зв'язку недостатньо.
🌤 28 вересня на Івано-Франківщині синоптики прогнозують мінливу хмарність, без опадів. Вночі та вранці — слабкий туман. Вдень у регіоні повітря прогріється до 21°.
❤14👍3
Showing the 12 most recent of 644 posts we hold for @suspilneivano_frankivsk. 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 6 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.
Пряма Оренда | Івано-Франківськ | Від власника @direct_rent_if · 6,363#91
Read from Telegram’s recommendation API, most recently 21 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.
КУРС: новини Івано-Франківська і Прикарпаття @kurs_if · 37,488 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 1 September 2026
Івано-Франківськ⚡️Новини @if_insider · 31,360 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 5 September 2026
GALKA.IF.UA - Новини Івано-Франківська @galkaifuanews · 76,523 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 19 August 2026
Марцінків 📱 ONLINE @martsinkiv_ONLINE · 49,420 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 26 August 2026
Труха⚡️Івано-Франківськ @truexafrankivsk · 144,770 Telegram ranks this channel #18 of 87 here — alongside 86 others — read 13 August 2026
РЕАЛЬНИЙ ФРАНКІВСЬК🚨 @realfrankivsk · 29,532 Telegram ranks this channel #22 of 65 here — alongside 64 others — read 8 September 2026
Калуський Формат @kalushform · 49,383 Telegram ranks this channel #22 of 68 here — alongside 67 others — read 26 August 2026
Івано-Франківськ 24/7📱 @blacklist2477 · 290,878 Telegram ranks this channel #23 of 84 here — alongside 83 others — read 10 August 2026
Чесний з Івано-Франківська @chesnyy_if · 70,975 Telegram ranks this channel #28 of 70 here — alongside 69 others — read 20 August 2026
Прикарпаттяобленерго @prykarpattyaoblenergo_official · 110,928 Telegram ranks this channel #28 of 91 here — alongside 90 others — read 14 August 2026
Є робота! | Івано-Франківськ @YeRobotaIF · 24,808 Telegram ranks this channel #30 of 71 here — alongside 70 others — read 15 September 2026
Цивільний захист Коломийська ТГ @kolrada_civil_defence · 35,306 Telegram ranks this channel #39 of 64 here — alongside 63 others — read 2 September 2026
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names 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.
Августдорф(uk.wikipedia.org) “…культури у Снятині за участю авторів проєкту{{cite web |url=https://t.me/suspilneivano_frankivsk/38226 |назва=Показ стрічки «Августдорф» у Снятині…” 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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“Суспільне Івано-Франківськ” (@suspilneivano_frankivsk), 22,186 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/suspilneivano_frankivsk.
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.
