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 20 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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
37 measurements spanning 52 days, net -3,512. 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 51,253–60,806 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
26 Sept 2026, 16:18
52,355
-121
19 Sept 2026, 14:21
52,476
-1,015
17 Sept 2026, 04:58
53,491
-181
15 Sept 2026, 03:37
53,672
-156
13 Sept 2026, 14:38
53,828
-570
11 Sept 2026, 18:58
54,398
-235
9 Sept 2026, 04:56
54,633
+720
5 Sept 2026, 19:56
53,913
-326
3 Sept 2026, 19:41
54,239
-83
2 Sept 2026, 14:24
54,322
-262
1 Sept 2026, 11:05
54,584
-72
31 Aug 2026, 11:47
54,656
-86
30 Aug 2026, 08:24
54,742
-482
29 Aug 2026, 06:02
55,224
-93
28 Aug 2026, 06:02
55,317
-73
27 Aug 2026, 09:13
55,390
-48
26 Aug 2026, 09:41
55,438
-55
25 Aug 2026, 10:56
55,493
-287
24 Aug 2026, 13:47
55,780
-2,308
22 Aug 2026, 19:35
58,088
first reading
Engagement
138 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 105 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.58%
avg views ÷ 52,355 subscribers
Avg views / post
4,490
68 posts measured
Reaction rate
3.29%
reactions ÷ views · ER floor
Posts in window
68
of 138 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 26 September 2026
Posts held
138 (3 August 2026 – 26 September 2026)
Views total
305,350
Reactions total
10,041
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 05:22 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
≈8,560
Videos
≈1,500
Links
≈2,950
Lifetime counters from Telegram’s own channel header, read 27 September 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
55m 43s
Average length
2m 09s
Measured directly from 26 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
19,036 reactions across 136 posts, in 13 distinct kinds. The most used accounts for 24.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
4,749
24.9%
🤡
3,201
16.8%
😁
2,931
15.4%
👍
2,081
10.9%
❤
1,740
9.14%
🤮
1,257
6.60%
💯
1,120
5.88%
👀
883
4.64%
🔥
561
2.95%
👏
245
1.29%
😢
136
0.714%
🫡
125
0.657%
🤝
7
0.037%
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 138 of the 138 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 19,197 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 138 most recent posts we hold, published 3 August 2026 to 26 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.
CEO Fire Point Ірина Терех фактично «наїхала» на Михайла Федорова (хоч прямо й не називала його імені) за рішення про безкоштовну передачу даних із поля бою в Україні американській компанії Palantir.
Вона порівняла це з рішенням України відмовитися від свого ядерного арсеналу та віддати всю свою ядерну зброю.
Боляче спостерігати як українські бренди змушені працювати з росіянами і власниками казино заради фінансування.
«Gunia project» і Марія Гаврилюк + підсанкційний росіянин Сергій Токарєв (казино Cosmolot).
Ось така колаборація вийшла.
Немного математики Пашинского:
В 2015 Пашинский украл и продал (за данными следствия) топлива на 800 млн. грн. Деньги конвертировал в доллары. Это около 37 млн. $.
На сегодня 37 млн.$ - уже 1,7 млрд. грн.
1,7 млрд - 1,1 млрд. откупных = 600 млн. грн.
Итого чистый навар Пашинского =12 млн.$.
Немного, но на новую квартиру для Севгиль хватит.
🔴 Працівники ДБР повідомили про підозру ще одному фігуранту справи, причетному до підкидання наркотиків колишньому командиру батальйону однієї з окремих механізованих бригад ⬇️
🔹 Як виявило слідство, громадянин України, який відомий в кримінальних колах як так званий «медвежатник», відкрив автомобіль військового, використовуючи спеціальні знання, здобуті в кримінальних колах, таким чином забезпечивши іншим трьом під…
У Руслана Кравченка знайшли віллу в Дубаї за 670 тисяч доларів, записану на колишню тещу.
У липні 2023-го власницею таунхауса площею понад 140 кв. м в елітному котеджному містечку Damac Lagoons стала українка Аліна Шкробанець — тодішня теща Руслана Кравченка, який тоді очолював Київську ОВА. У це майно Аліна Шкробанець інвестувала близько 670 тисяч доларів.
У листопаді 2024-го Кравченко офіційно розлучився з дочкою…
Геніальні політтехнологи Михайла Федорова продовжують руйнувати його політичну карʼєру.
Над останнім матеріалом, де «УП» робить з Федорова напівбога сміються всі.
Від самих прихильників Федорова до голови Верховної Ради.
Подоляк стане радником підсанкційного російського мільярдера.
Радник Офісу президента Михайло Подоляк погодився доєднатись до команди Тімура Турлова, який претендує на пост голови ФІДЕ (Міжнародна федерація шахів).
Тімур Турлов – 38-річний російський бізнесмен, який з 2022 року перебуває під санкціями України.
💸Россиянин Токарев купил очередную украинскую звезду.
➡️ В этот раз на российские рубли повелась основательница "бренда исключительных вещей" Gunia Project, дизайнер Мария Гаврилюк. Как написал сам Вадим/Сергей, его фонд поддержал проект Naïve My Love: Украинское народное искусство ХХ века, который Gunia запустил вместе с ASSOULINE.
"Я был очень рад провести час с Марией Гаврилюк, соучредительницей проекта Gunia в …
Зʼявилась інформація, що екс-заступник Кличка Петро Оленич виїхав за кордон.
За попередніми даними, 18 вересня Оленич перетнув кордон з Польщею та покинув Україну.
Раніше Оленич отримав підозру від НАБУ у рамках спецоперації «Чисте місто».
🤬154🤡28😁22👀2👏2❤1👍1
Showing the 12 most recent of 138 posts we hold for @vidsichu. 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 3 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.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Відсіч” (@vidsichu), 52,355 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/vidsichu.
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.