Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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 the other topics.
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 in near-verbatim form 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 0 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 195 comparable posts for this entry, running 4 August 2026 to 13 November 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).
Recorded under the key clone_source, last confirmed 14 November 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.
Growth
28 measurements spanning 101 days, net +2,440. 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 4,476–7,648 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
14 Nov 2026, 18:49
7,282
+48
9 Nov 2026, 11:06
7,234
+16
6 Nov 2026, 09:37
7,218
+60
3 Nov 2026, 17:09
7,158
+18
31 Oct 2026, 22:28
7,140
+154
28 Oct 2026, 19:41
6,986
+24
25 Oct 2026, 12:40
6,962
+1
22 Oct 2026, 20:01
6,961
+80
19 Oct 2026, 16:42
6,881
+74
16 Oct 2026, 11:06
6,807
+40
13 Oct 2026, 13:15
6,767
+40
7 Oct 2026, 11:40
6,727
+73
30 Sept 2026, 21:38
6,654
+477
16 Sept 2026, 03:18
6,177
+50
12 Sept 2026, 05:56
6,127
+638
8 Sept 2026, 08:17
5,489
+127
3 Sept 2026, 08:48
5,362
+11
30 Aug 2026, 18:34
5,351
+2
28 Aug 2026, 04:35
5,349
+13
25 Aug 2026, 13:53
5,336
first reading
Engagement
199 posts held, back to 4 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 30 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
87.3%
avg views ÷ 7,282 subscribers
Avg views / post
6,360
142 posts measured
Reaction rate
0.538%
reactions ÷ views · ER floor
Posts in window
142
of 199 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 14 November 2026
Posts held
199 (4 August 2026 – 14 November 2026)
Views total
902,900
Reactions total
4,861
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 23:09 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
≈4,430
Videos
≈499
Links
≈4,230
Lifetime counters from Telegram’s own channel header, read 14 November 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
29m 21s
Average length
1m 10s
Measured directly from 25 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
5,955 reactions across 185 posts, in 11 distinct kinds. The most used accounts for 31.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,879
31.6%
👍
1,773
29.8%
🔥
925
15.5%
🤬
492
8.26%
🤔
477
8.01%
😁
155
2.60%
🤪
87
1.46%
😢
68
1.14%
🫡
40
0.672%
👎
38
0.638%
🤯
21
0.353%
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 199 of the 199 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 6,462 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 199 most recent posts we hold, published 4 August 2026 to 14 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 16 of 142 posts held from the last 30 days (11.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🇺🇦🤝🇩🇪 Українська Farsight Vision розвиватиме оборонні технології разом із німецькою інженерною групою
Компанія підписала меморандум про співпрацю із німецькою INTEC Group. Виробники домовилися вивчити можливості для спільних проєктів, а також "розширити присутність Farsight Vision у Німеччині".
Співпраця між компаніями передбачає поєднання досвіду бойового застосування української продукції та німецькі технологічні…
🛫 Пошкодили ангар: Генштаб підтвердив ураження російського військового аеродрому в Липецьку
Удар по аеродрому "Липецк-2" в Липецькій області РФ завдали 13 листопада. За інформацією військових, пошкодили інфраструктуру, яку окупанти використовують для обслуговування авіації.
"Уражено ангар зберігання спецтехніки для обслуговування літаків, резервуар з авіаційним пальним і центральний командно-диспетчерський пункт ае…
⚙️ Оборонним компаніям можуть надати 31 день на адаптацію після зменшення квоти бронювання
Зокрема статус підприємств, у яких завершується критичність в листопаді або грудні 2026 року, пропонують продовжити на 31 день. За інформацією Мінекономіки, це дасть компаніям час, аби підтвердити статус за новими вимогами та не зупиняти роботу.
"Для збереження безперевного виробництва запропоновано затвердити адаптаційний пе…
🇹🇷🇵🇰 Турецька компанія поставить Пакистану 100 тисяч ударних FPV-дронів
Контракт на постачання FPV-дронів MERKÜT уклала Національна корпорація радіо та телекомунікацій Пакистану, яка належить до Міністерства оборонної промисловості країни.
Окрім дронів, турецька Pasifik Teknoloji також має поставити 10 безпілотних гелікоптерів ALPİN, 25 малих безпілотних гелікоптерів DUMRUL, 500 тактичних дронів-камікадзе DELİ, а т…
🇺🇦 КАІ та IRON розпочали стратегічне партнерство, щоб залучати студентів до розвитку технологій
Співпраця передбачає спільні програми та освітні проєкти, майстер-класи, воркшопи та зустрічі студентів з компаніями-учасницями IRON.
Крім того, КАІ долучатиметься до подій кластера як освітній та інформаційний партнер: IRON інформуватиме свої компанії та учасників про програми КАІ, а університет розповідатиме студентам …
Сучасна війна дронів вимагає "розумного" РЕБ. Комплекс "Ай-Петрі СВ" є прикладом того, як система протидії ворожій розвідці вдосконалюється під потреби фронту.
Це такий собі автопілот для операторів РЕБ. Система сама знаходить вразливі частоти об’єкта й визначає, скільки засобів потрібно для відбиття конкретної атаки. Працює вона не тільки проти "шахедів" і розвідувальних дронів, а й навіть збиває з курсу російські …
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Збільшення тривалості польоту супроводжують й інші зміни: розробники додають курсову камеру, щоб оператор міг стежити за напрямком руху борта без використання його ос…
🇺🇦 Український розробник швидкісного дрона-перехоплювача Algiz залучив інвестиції зі США
Американський венчурний фонд Backswing Ventures інвестував в українську оборонну компанію Vigilant Works, яка розробляє дрони-перехоплювачі Algiz та автономні системи протидії безпілотникам.
Vigilant Works розробляє автономну систему протидії безпілотникам, яка поєднує платформи перехоплювачів, власні технології автономного кер…
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"Поєднання "Protector" із бойовим модулем "Таврія-12,7" розширює можливості застосування комплексу. Така конфігурація дозволяє платформі не лише виконувати лог…
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Виробник шукає нових підрядників у Європі у межах масштабування виробництва боєприпасів, зокрема ракет SM-2 та SM-6. Вілсон назвала Німеччину однією із країн, де Raytheon розглядає доцільність спільної роботи над озброєнням.
"Зараз у Німеччині вони вивчають, як краще співпрацювати з промисловими партнерами у виробництві ракет…
🔥 Військові уразили "Нептунами" виробництво, склад і сервісний центр дронів у Ростові
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"Під удари потрапили виробництво ударних БпЛА тактичного рівня — ТОВ "Іонос" – і місце зберігання безпілотників цього ж підприєм…
🔥31❤6👍4🤔1
Showing the 12 most recent of 199 posts we hold for @oboronka1. 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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“Оборонка” (@oboronka1), 7,282 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/oboronka1.
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.