International 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 50% 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.
Views per post sit far above this size band
76,500 average views per post against 33,945 subscribers — an engagement rate of 225.4%. Across the 558 registered channels in the same cohort — 31,629–99,325 subscribers, posting mainly in Ukrainian — the middle half sit between 9.83% and 26.4%, with a median of 16.3%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
33 of 33 published in the window (0 exact, 33 rounded by Telegram)
Views totalled
2,524,500
Mature posts only
238.8% over 31 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 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.
Growth
10 measurements spanning 7 days, net +37. 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 33,897–33,982 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:03
33,945
-20
12 Aug 2026, 00:32
33,965
+6
11 Aug 2026, 01:05
33,959
-11
10 Aug 2026, 01:16
33,970
-2
9 Aug 2026, 00:52
33,972
+17
8 Aug 2026, 03:55
33,955
-6
7 Aug 2026, 01:10
33,961
+54
6 Aug 2026, 02:40
33,907
-1
6 Aug 2026, 01:50
33,908
no change
6 Aug 2026, 00:48
33,908
first reading
Engagement
33 posts held, back to 31 July 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
225.4%
avg views ÷ 33,945 subscribers
Avg views / post
76,500
33 posts measured
Reaction rate
0.525%
reactions ÷ views · ER floor
Posts in window
33
of 33 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 12 August 2026
Posts held
33 (31 July 2026 – 12 August 2026)
Views total
2,524,500
Reactions total
13,264
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 21:06 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
8m 12s
Average length
1m 02s
Measured directly from 8 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
12,043 reactions across 30 posts, in 16 distinct kinds. The most used accounts for 51.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
6,199
51.5%
❤
3,410
28.3%
👍
1,781
14.8%
🫡
371
3.08%
🙏
199
1.65%
🎉
29
0.241%
🤝
16
0.133%
👏
13
0.108%
🤬
6
0.05%
🤯
5
0.042%
🏆
3
0.025%
💯
3
0.025%
😈
3
0.025%
⚡
2
0.017%
🤔
2
0.017%
😍
1
0.008%
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 33 of the 33 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 13,264reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 31 July 2026 to 12 August 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.
Telegram Stars
Stars received
44
across the posts below
Posts paid on
26
of 33 we hold a reading for · 79%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @usf_army. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 33 most recent posts we hold for this entry, published 31 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Спокійніше — коли всі сценарії відпрацьовані.
Підготовка у Силах безпілотних систем — це максимум практики, заснованої на сучасних реаліях. Навчальні програми регулярно коригуються, щоб відповідати змінам на фронті, розвитку тактик і технологій.
Тебе готуватимуть інструктори — військові і реальні пілоти з бойовим досвідом, які мають ротації у зону бойових дій, щоб давати завжди актуальні знання.
Робота з дронами т…
Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1896 цілей противника.
Серед уражених цілей:
347 одиниць особового складу, з них 175 — ліквідовано;
92 точки вильоту дронів;
16 РЛС, РЕР, РЕБ та засобів зв’язку;
96 одиниць автомобільної техніки;
13 артилерійських систем;
289 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера».
З початку серпня (01-11.08)…
USF Today: «Рубікон» іде з фронту, важливий мінус і чому обирати СБС — спокійніше 🌊📉
🌊 Морська операція СБС змушує ворога перекидати найкращі екіпажі «Рубікона» з-під Покровська — за сотні кілометрів від фронту, охороняти танкери.
📉 Сили оборони втримують від’ємний баланс живої сили ворога. Чому цього поки недостатньо і що таке «Стандарт десять»?
🔥 Ярославський, Уфимський і Саратовський НПЗ. А ще — дивовижна любов…
🔥Сили безпілотних систем уразили нафтопереробний завод «Орскнефтеоргсинтез»🔥
У ніч на 11 серпня оператори 1-го окремого центру у взаємодії з іншими складовими Сил оборони України засобами українського виробництва уразили один із найбільших нафтопереробних комплексів Оренбурзької області рф.
Проєктна потужність заводу становить близько 6 млн тонн нафти на рік. Підприємство входить до групи «САФМАР» та виробляє понад…
Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1749 цілей противника.
Серед уражених цілей:
350 одиниць особового складу, з них 158 — ліквідовано;
45 точок вильоту дронів;
13 РЛС, РЕР, РЕБ та засобів зв’язку;
80 одиниць автомобільної техніки;
311 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера».
З початку серпня (01-10.08) підрозділами угруповання …
Вистачає тригерів, шановні.
Прошу не поширювати гіперболізовані та інтерпретовані заголовки та не кошмарити втомлених людей: з матеріалу про те, що ми можемо бити ворога в 7 разів інтенсивніше, взяти до поширення речення про те, як нас залякати.
У коментарі, наданому днями американському виданню Associated Press йшлося про хід Кримської операцію та її поточні виклики. Про 14% теж йшлося і це правда.
Але є нюанс, тіл…
Сили безпілотних систем уразили великий нафтопереробний комплекс у Нижньокамську
Оператори 1-го окремого центру та 413-го полку «Рейд» у взаємодії з іншими складовими Сил оборони уразили НПЗ «ТАНЕКО», розташований у Нижньокамську, Республіка Татарстан. Підприємство є одним із ключових активів «Татнефти» у сфері нафтопереробки. Його створили як масштабний комплекс нафтопереробних і нафтохімічних виробництв та ввели в…
Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1784 цілей противника.
Серед уражених цілей:
347 одиниці особового складу, з них 171 — ліквідовано;
67 точок вильоту дронів;
10 РЛС, РЕР, РЕБ та засобів зв’язку;
98 одиниць автомобільної техніки;
269 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера».
З початку серпня (01-09.08) підрозділами угруповання …
Оператори СБС готують БпЛА «Shark» до вильоту.
Екіпаж 413-го полку «Рейд», який виконує завдання з розвідки та коригування вогню, поєднує бійців із піхотним досвідом найважчих боїв та молодих військовослужбовців, які пройшли вишколи, здобули бойовий досвід і стали професіоналами.
Саме в такій співпраці та взаємообміні досвідом народжуються нові підходи й високі результати.
Результати, які противник відчуває на соб…
У ніч з 8 по 9 серпня операторами 1-го окремого центру, 413-го полку «Рейд» та 412-та бригада Nemesis було здійснене вдале полювання на засоби ППО противника та судна підсанкційного флоту рф 🔥🔥
Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1605 цілей противника.
Серед уражених цілей:
284 одиниці особового складу, з них 128 — ліквідовано;
56 точок вильоту дронів;
9 РЛС, РЕР, РЕБ та засобів зв’язку;
102 одиниці автомобільної техніки;
3 одиниці флоту;
266 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера».
З початку серпня (01-08.08) підрозді…
Операція «МоЛоЧКа» триває: СБС продовжують уражати судна тіньового флоту рф.
Протягом 1–8 серпня оператори 414-ї бригади «Птахи Мадяра», 20-ї бригади К-2 та 413-го полку «Рейд» у Чорному та Азовському морях уразили ще 12 суден із залишку тіньового флоту.
Противник намагався протидіяти роботі операторів за допомогою ЗРГК «Панцир», що зображено на відео. Проте це не завадило СБС продовжити виконання завдань.
Загалом…
🔥407❤69👍51🙏10🫡5👏1🤝1😍1
Showing the 12 most recent of 33 posts we hold for @usf_army. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 556 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 42 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.
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.
413th Regiment of Unmanned Systems(en.wikipedia.org) “…==Commanders==
* Major Karas Yevhen Vasilyevich (2024-){{Cite web |url=https://t.me/usf_army/376 |title=Сили Безпілотних Систем |website=Telegram…” read 9 August 2026
413-й окремий полк безпілотних систем «Рейд»(uk.wikipedia.org) “…2025}}
== Командування ==
* (2024) майор{{Cite web |url=https://t.me/usf_army/376 |title=Сили Безпілотних Систем |website=Telegram |access-date=2025-02-04…” read 9 August 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Сили безпілотних систем ЗС України” (@usf_army), 33,945 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/usf_army.
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.
