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 93% 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
34 measurements spanning 43 days, net +2,488. 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 56,598–59,851 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:17
59,461
+18
15 Sept 2026, 20:17
59,443
+19
14 Sept 2026, 03:18
59,424
-9
12 Sept 2026, 11:41
59,433
-43
10 Sept 2026, 11:18
59,476
+27
7 Sept 2026, 07:42
59,449
+31
4 Sept 2026, 14:58
59,418
+266
3 Sept 2026, 04:39
59,152
+46
1 Sept 2026, 22:14
59,106
+33
1 Sept 2026, 01:35
59,073
+227
30 Aug 2026, 21:18
58,846
+153
29 Aug 2026, 18:46
58,693
+188
28 Aug 2026, 17:45
58,505
+103
27 Aug 2026, 19:25
58,402
+148
26 Aug 2026, 19:34
58,254
+127
25 Aug 2026, 22:19
58,127
+223
24 Aug 2026, 23:16
57,904
+170
23 Aug 2026, 09:34
57,734
+112
21 Aug 2026, 18:06
57,622
+97
20 Aug 2026, 14:52
57,525
first reading
Engagement
276 posts held, back to 2 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
12.9%
avg views ÷ 59,461 subscribers
Avg views / post
7,670
137 posts measured
Reaction rate
2.43%
reactions ÷ views · ER floor
Posts in window
137
of 276 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
276 (2 August 2026 – 26 September 2026)
Views total
1,050,620
Reactions total
25,544
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 04:02 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
≈8,490
Videos
≈3,730
Links
≈8,840
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
1h 13m
Average length
1m 02s
Measured directly from 71 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
46,971 reactions across 273 posts, in 22 distinct kinds. The most used accounts for 35.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
16,585
35.3%
❤
9,173
19.5%
👍
7,432
15.8%
😁
4,058
8.64%
🔥
2,542
5.41%
🤡
1,864
3.97%
🤯
1,854
3.95%
😢
1,010
2.15%
🙏
785
1.67%
🤔
379
0.807%
💔
324
0.69%
👀
284
0.605%
🤮
240
0.511%
🙈
233
0.496%
👏
68
0.145%
💩
54
0.115%
🫡
25
0.053%
👎
24
0.051%
🍾
12
0.026%
🌭
11
0.023%
2 further kinds
14
0.03%
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 276 of the 276 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 47,590 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 276 most recent posts we hold, published 2 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.
Ми дотискаємо подібні справи до перевірок завдяки вам і вашій підтримці💪
Долучайтеся до змін разом з нами – зробити це можна будь яким зручним способом:
👀 Підтримати команду на сайті
📱 Patreon: https://www.patreon.com/bihusinfo
🏦 Монобаза: http://base.mono.bank/bihusinfo
📱 Ютуб: https://www.youtube.com/@BIHUSinfo/join
📱 Крипта: https://bihus-info.pay.whitepay.com/donation
Ще один фігурант зацікавив НАЗК після нашого сюжету 🔥
НАЗК розпочало моніторинг способу життя Дениса Лутія. Це сталося після виходу розслідування нашої Насті. Там вона розповідала про те, що його рідня та пов’язані особи затарилися майном на суму близько мільйона доларів.
Серед їхньої нерухомості – дві квартири в одеському клубному будинку «Авіньйон», земельна ділянка із вже зведеним будинком, а також будинок і кіл…
Коли припиниться терор реактивних дронів? 👀
Це просте, але дуже важливе питання цікавить киян, які останній місяць живуть під постійними російськими атаками. Цікавить воно і нас, тож ми поговорили про це із СЕО Vyriy Industries Олексієм Бабенком.
Про збиття реактивних дронів та реалії українського мілтеку – читайте у цьому матеріалі.
А повне інтерв’ю – на каналі Bihus.Info.
Чи можна вважати успішним бізнес із нулями у фінансовій звітності?🤔
Коли мова йде про фірму дружини Віталія Кіма – безперечно. Адже її компанія з «нульовими» доходами спромоглася придбати простору квартиру і паркомісце в одному із найдорожчих столичних ЖК.
Сам міністр пояснює походження коштів на цю покупку то «кредитом», то заробітками ФОПа дружини, запевняючи, що на Липках сам навіть не живе.
Більше про інше май…
🤦♀️ Естонський сором. Так відчувається скандал, у який вляпався «слуга» Пушкаренко
Раптом ви пропустили цю історію – ловіть короткий переказ Іри.
Але естонське розслідування – далеко не єдина причина придивитися до нардепа. Його родина непогано так обросла нерухомістю та новенькими автівками 👀
📱 Деталі – у повному відео на каналі Bihus.Info.
Будувати інформкампанії проти журналістів на трагедії людей – це сором.
В окремих телеграм-каналах шириться інформація, нібито наше розслідування пов’язане із сьогоднішніми прильотами по Києву. Відповідаємо: це не відповідає дійсності, адже в сюжеті йшлося про інший будинок.
А власникам анонімних (і не тільки) телеграм-каналів радимо не спекулювати на вбивстві цивільних і не вигадувати конспірологічних зв’язків між…
Дякуємо всім, хто вже підтримує нашу роботу 🙌
Завдяки вам нам значно легше дотискати справи до перевірок 💪
А якщо ви лише думаєте долучитися – зробити це можна на цих платформах:
👀 Підтримати команду на сайті
📱 Patreon: https://www.patreon.com/bihusinfo
🏦 Монобаза: http://base.mono.bank/bihusinfo
📱 Ютуб: https://www.youtube.com/@BIHUSinfo/join
📱 Крипта: https://bihus-info.pay.whitepay.com/donation
Ще одна хороша новина для нас, але не для Сніцарука 😉
Національне агентство з питань запобігання корупції розпочало повну перевірку електронної декларації працівника Міністерства внутрішніх справ України Дмитра Сніцарука.
Про нього Настя Олійник розповідала у сюжеті про тачки посадовців. Дружина Сніцарука примудрилася купити Mercedes-Benz GLE 350d всього за 400 тис. грн. Саме таку вартість авто вказали у декларації…
Так приписувати собі допомогу міжнародних партнерів – це ще треба постаратися 🫠
До цього року Арсеній Пушкаренко очолював Житомирську обласну організацію «Слуги народу». А після початку великої війни саме Житомирщину Естонія взяла під своє крило.
Там побудували модульний дитячий садок, відремонтували міст, передали автобуси та допомогли з житлом для ВПО.
І майже скрізь поруч з’являвся Пушкаренко – так, ніби вся ця…
Київ 💔
Всі ми бачимо ці жахливі фото з прильотами та загиблими. І в такі моменти важко просто сказати «тримайтеся», бо розумієш: прилетіти може будь-де.
Але як би не було важко – іншого виходу у нас просто немає. Тільки триматися і донатити на військо, бо лише вони можуть дати гідну відповідь росіянам.
Не проходьте повз збори. Донатьте та поширюйте їх 🙏
Один із таких – на авто для артилерійської розвідки 143-ї ок…
Понад 1 млрд грн до бюджету та на Сили оборони: Пашинський визнав вину у справі про «нафту Курченка»
НАБУ і САП повідомили, що екснардеп та колишній в.о. глави Адміністрації Президента Сергій Пашинський визнав свою вину та пішов на угоду зі слідством у справі про заволодіння арештованими нафтопродуктами, які ввезли в Україну контрабандою без розмитнення.
Йдеться про злочинну схему з «нафтою Курченка», яку Пашинськи…
👍142🤡36🤬21❤7😁3🤔2🤯2
Showing the 12 most recent of 276 posts we hold for @bihusinfo. 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.
Posts edited after publishing
@bihusinfo edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
11 August 2026
Most recent edit
26 September 2026
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 12 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 23 August 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.
Олені за кермом 🦌 @olenizakermom1 · 26,653 Telegram ranks this channel #4 of 61 here — alongside 60 others — read 11 September 2026
absolutionlab @absolutionleaks · 31 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 12 August 2026
Центр протидії корупції_ @fuckcorruption · 25,896 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 14 September 2026
НАБУ @nab_ukraine · 47,176 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 29 August 2026
НАЗК @NAZK_gov_ua · 24,436 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 15 September 2026
Антигуманістичне гатіння @jokes_over_200 · 27,199 Telegram ranks this channel #21 of 66 here — alongside 65 others — read 11 September 2026
Tkach @teleTKACH · 61,556 Telegram ranks this channel #21 of 84 here — alongside 83 others — read 23 August 2026
Сергій Притула @serhiyprytula · 116,811 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 14 August 2026
ВИЙ.Ukraine @viyukraine · 21,876 Telegram ranks this channel #23 of 86 here — alongside 85 others — read 22 September 2026
Повернись живим @savelifeua · 24,692 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 15 September 2026
ProDnipro @prodnipro1 · 26,090 Telegram ranks this channel #27 of 67 here — alongside 66 others — read 12 September 2026
Гастровсесвіт Клопотенка @klopotenkofood · 36,422 Telegram ranks this channel #27 of 80 here — alongside 79 others — read 3 September 2026
Forbes Ukraine @Forbes_Ukraine_official · 49,900 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 25 August 2026
УП. Кляті питання @ukr_pravda · 24,838 Telegram ranks this channel #34 of 79 here — alongside 78 others — read 15 September 2026
АНТИКОР @antikor · 436,436 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 29 August 2026
Данило Гетманцев @getmantsevdanil · 65,987 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 17 August 2026
Телебачення Торонто @torontotv · 112,045 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 14 August 2026
WAS. Популярна Історія @wasmedia_ua · 24,464 Telegram ranks this channel #41 of 73 here — alongside 72 others — read 16 September 2026
BBC NEWS Україна @bbcukrainian · 53,857 Telegram ranks this channel #43 of 91 here — alongside 90 others — read 24 August 2026
Business Week | Бізнес | Фінанси | Інвестиції @businessweekua · 25,334 Telegram ranks this channel #46 of 77 here — alongside 76 others — read 14 September 2026
Податкова служба - ОФІЦІЙНИЙ КАНАЛ @tax_gov_ua · 44,663 Telegram ranks this channel #49 of 83 here — alongside 82 others — read 28 August 2026
Molfar про OSINT @molfar_global · 51,742 Telegram ranks this channel #50 of 80 here — alongside 79 others — read 25 August 2026
МОЗ України @mozofficial · 37,138 Telegram ranks this channel #52 of 85 here — alongside 84 others — read 1 September 2026
Бабель @babel · 77,552 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 19 August 2026
This channel appears in 38 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
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
2 Wikipedia articles name 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.
Корупція в Україні(uk.wikipedia.org) “…коли Ткач отримав високу посаду в Енергоатомі.{{Cite web |url=https://t.me/bihusinfo/15268 |title=Bihus.Info |website=Telegram |access-date=2026-03-31}}…” read 13 September 2026
Шабунін Віталій Вікторович(uk.wikipedia.org) “…|access-date=2025-07-12}}, «[[Bihus.Info|Бігус.інфо]]»{{Cite web |url=https://t.me/bihusinfo/13489 |title=Bihus.Info |website=Telegram |access-date=2025-07-12}}…” 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bihus.Info” (@bihusinfo), 59,461 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bihusinfo.
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.