🇷🇺Телеграм-канал Бесстрашных - мы воины ГВ "Север"!
- сводки с фронта
- новости Белгородской, Курской и Брянской областей
- обстановка на Украине
@Polar_nightbot для связи
Created
28 April 2024 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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 12 other registered channels. This entry also sits inside a group of 42 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (6 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. 27 of the 29 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 1,596 comparable posts for this entry, running 5 August 2026 to 10 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).
Of the group of 42 channels, the one whose matching posts we hold earliest is @rybar. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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.
Channels linked by matching posts
This channel is in a group of 42 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
66 measurements spanning 97 days, net -15. 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 118,296–119,051 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:08
118,396
-28
9 Nov 2026, 09:06
118,424
-31
7 Nov 2026, 23:51
118,455
-32
6 Nov 2026, 22:41
118,487
-37
5 Nov 2026, 19:06
118,524
-40
4 Nov 2026, 19:28
118,564
-25
3 Nov 2026, 21:51
118,589
-21
2 Nov 2026, 18:41
118,610
-32
1 Nov 2026, 18:27
118,642
-15
31 Oct 2026, 15:46
118,657
-23
30 Oct 2026, 17:55
118,680
-24
29 Oct 2026, 14:35
118,704
+4
28 Oct 2026, 15:46
118,700
-9
27 Oct 2026, 14:49
118,709
-37
26 Oct 2026, 17:59
118,746
-17
25 Oct 2026, 20:18
118,763
-41
24 Oct 2026, 17:00
118,804
-28
23 Oct 2026, 13:39
118,832
-16
22 Oct 2026, 13:26
118,848
+12
21 Oct 2026, 06:59
118,836
first reading
Engagement
1,799 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.15%
avg views ÷ 118,396 subscribers
Avg views / post
6,100
510 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
540
of 1,799 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 11 November 2026
Posts held
1,799 (5 August 2026 – 11 November 2026)
Views total
3,110,746
Reactions total
47,088
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 16:23 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
≈10,500
Videos
≈10,600
Links
≈15,600
Lifetime counters from Telegram’s own channel header, read 11 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
10h 15m
Average length
1m 09s
Measured directly from 534 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
92,037 reactions across 945 posts, in 21 distinct kinds. The most used accounts for 27.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
25,724
27.9%
🔥
25,022
27.2%
🙏
16,169
17.6%
❤
14,416
15.7%
🤬
4,713
5.12%
😡
2,279
2.48%
👏
1,172
1.27%
👌
728
0.791%
🫡
609
0.662%
💯
562
0.611%
🤝
132
0.143%
😎
121
0.131%
🥰
119
0.129%
😨
75
0.081%
🍾
70
0.076%
⚡
47
0.051%
🤗
32
0.035%
🏆
20
0.022%
😍
13
0.014%
🎄
10
0.011%
1 further kind
4
0.004%
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 945 of the 1,000 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 92,037 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 September 2026 to 11 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.
Telegram Stars
Stars received
50
across the posts below
Posts paid on
37
of 945 we hold a reading for · 4%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @warriorofnorth. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 17 September 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 10 of 540 posts held from the last 30 days (1.85%) 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).
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Автор штурмовик ЧВК "Вагнер", попавший в Компанию из тюрьмы прямиком в "Бахмутскую мясорубку", о чём написал свои книги (ссылка на подарочный набор ⬇️)
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P.S. с каждой проданной книги 10% отправляется на СВО
Книга рассказывает о пути в уникальной военной операции современной истории, которая получила название «Бахмутская Мясору…
☠️Дроны Северян выявляют пехоту ВСУ в лесах Харьковской области
#Группировка_войск_Север #Бесстрашные
Очередной боевик ВСУ безуспешно пытался скрыться от дрона расчета 69 мсд 6 гв. армии. В ход пошло даже стрелковое оружие, которое все равно не спасло украинского военного.
Если хотите служить в войсках беспилотных систем - отправьте заявку через сайт Беспилотныевойска.рф или позвоните по телефону 117(доб.4).
📱Сев…
«Противник не понимал, что происходит! Вылазят какие-то черные люди из трубы…»
От Авдеевки и до Курска: участник легендарных операций на СВО дал интервью «Ленрубежу»
Дмитрий Люлько — ветеран Спецоперации, дважды кавалер Ордена Мужества, выходец Урала, а ныне житель Ленобласти в беседе с пресс-службой Фонда «Ленинградский рубеж» рассказал об уникальных боевых заданиях, в которых принимал участие.
Сегодня он живет в…
💥Охота на пехоту ВСУ в Харьковской области
#Группировка_войск_Север #Бесстрашные
Квадроцикл с двумя военнослужащими ВСУ пытался скрыться от дрона Северян в лесу возле населенного пункта Новоувжиновка Харьковской области. Один из боевиков не нашел в себе силы сбежать в кусты и лег рядом со своим транспортом, что позволило дрону бойцов 344 мсп убить сразу двух зайцев.
Если хотите служить в войсках беспилотных систем…
☠️Дороги войны. Эффектное уничтожение пикапа с пехотой ВСУ
#Группировка_войск_Север #Бесстрашные
Вражеский автомобиль набитый, пока еще, живой силой ВСУ попался в объектив расчета FPV спецназа 6 гв. армии группировки "Север". После проникновения в антидроновый коридор и непродолжительной погони карательный дрон настиг нарушителей правил перевозки личного состава.
Если хотите служить в войсках беспилотных систем - …
🇷🇺Новости Севера. Обстановка у северо-западных рубежей России
🇬🇧Великобритания развернет флот автономных морских дронов для противодействия России
Великобритания намерена развернуть флот автономных беспилотных надводных аппаратов для противодействия предполагаемому вмешательству России в британские территориальные воды. Об этом заявил командующий королевским военно-морским флотом Великобритании вице-адмирал С. Мурх…
💥Станции РЭБ ВСУ больше не помешают Северянам
#Группировка_войск_Север #Бесстрашные
В Харьковской области расчеты FPV группировки "Север" уничтожили три станции РЭБ противника, которые мешали работе наших связистов и расчетов БпЛА. Отработали бойцы 69 мсд и 1 бБпС.
Если хотите служить в войсках беспилотных систем - отправьте заявку через сайт Беспилотныевойска.рф или позвоните по телефону 117(доб.4).
📱Северный Ве…
💥Квадроциклы ВСУ горят в Харьковской области
#Группировка_войск_Север #Бесстрашные
Дронв расчетов 1009 полка добивают брошенную технику противника в лесном массиве южнее Старицы. Вражеская пехота добирается до позиций пешком.
Если хотите служить в войсках беспилотных систем - отправьте заявку через сайт Беспилотныевойска.рф или позвоните по телефону 117(доб.4).
📱Северный Ветер 🟣 Подписаться в MAX 📱 Мы ВКонтакте 📱…
❗️Украинские террористы продолжают атаковать мирное население приграничных районов
За прошедшие сутки армия трусов и убийц, будучи не в силах ничего противопоставить на поле боя, атаковала гражданское население Белгородской и Брянской областей. К сожалению, есть раненые, повреждены объекты инфраструктуры, дома и транспорт.
Белгородская область
🔻В городе Шебекино при атаке FPV-дрона на автомобиль у женщины мелкие о…
💥Северяне уничтожили позицию расчета БпЛА ВСУ вместе с дронами
#Группировка_войск_Север #Бесстрашные
В Сумской области выявлен пункт управления БпЛА противника, который атаковал гражданские объекты в Курской области. Несколькими ударами FPV расчетов "Легиона" позиция дронщиков разбита, радиоэлектронное оборудование и дроны уничтожены.
Если хотите служить в войсках беспилотных систем - отправьте заявку через сайт Б…
11 ноября в истории Отечества
#этот_день_в_истории
День военного пенсионера Вооруженных Сил Российской Федерации.
История праздника начинается с эпохи Петра I, когда на законодательном уровне 11 ноября 1720 г. ввели пенсионное обеспечение для офицеров флота по старости, выплаты вдовам и сиротам. Позже эти выплаты распространили на нижние чины. Традиция отмечать День военного пенсионера начала появляться с 2012 год…
👍45❤17🙏5🤬2
Showing the 12 most recent of 1,799 posts we hold for @warriorofnorth. 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
@warriorofnorth edited 4 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
26 August 2026
Most recent edit
9 November 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 107 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 247 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.
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.
Операция Z: Военкоры Русской Весны @rvvoenkor · 1,452,307#1
Read from Telegram’s recommendation API, most recently 14 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.
Северный канал @severnnyi · 73,403 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 20 August 2026
РаZвед_ДоZор @razved_dozor · 50,477 Telegram ranks this channel #3 of 82 here — alongside 81 others — read 25 August 2026
Бешеные псы @urga_74 · 31,600 Telegram ranks this channel #6 of 76 here — alongside 75 others — read 6 September 2026
Южный фронт @yuzhny_front_ZOV · 20,115 Telegram ranks this channel #7 of 79 here — alongside 78 others — read 27 September 2026
98 гвардейская ВДД @vdd98 · 23,818 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 17 September 2026
Чёрные гусары @blackhussars · 27,751 Telegram ranks this channel #8 of 73 here — alongside 72 others — read 13 September 2026
Рядовой на передовой @frontline_pvt · 30,831 Telegram ranks this channel #8 of 73 here — alongside 72 others — read 7 September 2026
Бригада "Север-V" ДК ВС РФ @Sever_Z · 39,498 Telegram ranks this channel #8 of 79 here — alongside 78 others — read 30 August 2026
LOSTARMOUR | Carthago delenda est! @lost_armour · 88,616 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 17 August 2026
Судоплатов @sudoplatov_official · 75,163 Telegram ranks this channel #9 of 78 here — alongside 77 others — read 25 August 2026
DIVGEN 🚩 Карта СВО @divgen · 75,923 Telegram ranks this channel #10 of 79 here — alongside 78 others — read 19 August 2026
ИЗНАНКА @The_Wrong_Side · 133,665 Telegram ranks this channel #10 of 80 here — alongside 79 others — read 13 August 2026
Охотники за головами @heads_hunters · 30,006 Telegram ranks this channel #12 of 71 here — alongside 70 others — read 7 September 2026
Группировка «СЕВЕР»|Приграничье @grp_sever · 33,759 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 3 September 2026
Крылатые @russian_airborne · 49,672 Telegram ranks this channel #12 of 80 here — alongside 79 others — read 25 August 2026
Харьковское направление @XNRRussia · 25,020 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 14 September 2026
Морпех РОКОТ 🇷🇺 Антон Филимонов @morpexROKOT · 24,409 Telegram ranks this channel #14 of 77 here — alongside 76 others — read 16 September 2026
ВДВ Псков ZOV @vdvpskovz · 25,089 Telegram ranks this channel #14 of 73 here — alongside 72 others — read 13 September 2026
Воин DV @voin_dv · 145,035 Telegram ranks this channel #14 of 79 here — alongside 78 others — read 13 August 2026
Fiftnmls | Скотомогильник @fiftnmls · 103,306 Telegram ranks this channel #15 of 74 here — alongside 73 others — read 19 August 2026
Работайте, братья! @btr80 · 148,789 Telegram ranks this channel #16 of 77 here — alongside 76 others — read 13 August 2026
Минобороны России @mod_russia · 649,746 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 8 August 2026
ВОЙНА НА УКРАИНЕ СВО УКРАИНА @novostydhd · 54,196 Telegram ranks this channel #17 of 57 here — alongside 56 others — read 23 August 2026
НгП раZVедка @NgP_raZVedka · 94,121 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 16 August 2026
This channel appears in 122 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.
Referenced elsewhere
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.
42-я гвардейская мотострелковая дивизия(ru.wikipedia.org) “…tv/news/main/67959 |url-status=live }}{{Cite web |url=https://t.me/warriorofnorth/20087 |title=Группировка войск «Север» освободила село Бачевск…” read 1 November 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Северный Ветер” (@warriorofnorth), 118,396 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/warriorofnorth.
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.