Telegram RegisterThe public register of Telegram

Channel

Северный ветер

@nwindpro

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

15,839subscribers

-9 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001809976200
TypeChannel
Username@nwindpro
Created3 March 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/nwindpro

Topic

Politics & activism — 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 87% 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.

Content that also appears on other registered channels

Posts published here appear word for word 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@yozhandcider/279330 Jul 2026, 08:37 UTC@nwindpro/1303 · this entry30 Jul 2026, 08:38 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yozhandcider5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (41)

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 14 comparable posts for this entry, running 12 July 2026 to 4 August 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).

Across the whole group of 2, the earliest publisher we hold is @nwindpro — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

15,83915,84915,8446 August 2026 — 15,848 subscribers6 August 2026 — 15,848 subscribers6 August 2026 — 15,849 subscribers9 August 2026 — 15,848 subscribers10 August 2026 — 15,843 subscribers11 August 2026 — 15,840 subscribers12 August 2026 — 15,839 subscribers6 August 202612 August 2026
7 measurements spanning 7 days, net -9. 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 15,838–15,851 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:2615,839-1
11 Aug 2026, 14:5515,840-3
10 Aug 2026, 15:0815,843-5
9 Aug 2026, 15:3115,848-1
6 Aug 2026, 15:3115,849+1
6 Aug 2026, 02:2015,848no change
6 Aug 2026, 01:3515,848first reading

Engagement

15 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 15,839 subscribers
Avg views / post
2,190
12 posts measured
Reaction rate
1.58%
reactions ÷ views · ER floor
Posts in window
12
of 15 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held15 (12 July 202611 August 2026)
Views total26,280
Reactions total416
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 10:25 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
2h 30m
Average length
25m 01s

Measured directly from 6 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

708 reactions across 15 posts, in 19 distinct kinds. The most used accounts for 26.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤬18726.4%
🙏15021.2%
👍14220.1%
8311.7%
💯507.06%
🔥243.39%
😱182.54%
❤‍🔥141.98%
🙈111.55%
🤯70.989%
👎60.847%
🤣40.565%
👏30.424%
20.282%
🍾20.282%
😁20.282%
💩10.141%
😎10.141%
🥰10.141%

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 15 of the 15 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 708reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 12 July 2026 to 11 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.

Recent posts

11 Aug 2026, 05:07 UTC≈1,010 views34 reactionsread 12 August 2026
Forwarded from @mihalichandallVideo

Ждуны и дракон Видео фантастическое. Дважды. В первой части - дорога перед ЛБС на донецком фронте. Десятки ждунов на небольшой дороге. Сотня на километр. Во второй – ответ участников канала, что с этим делать. Метод повторен до полной очистки. *** Актуальная тема. У нас сложилась целая серия постов о ждунах: 💥 Воздушный бой за переправу 💥 Расчистка дорог 💥 Ждуны Бабы Яги 💥 Бабы Яги в Донецке. Что значит Старлинк

😱14🤯7🙏722🔥2

4 Aug 2026, 18:15 UTC≈1,760 views67 reactionsread 12 August 2026
Forwarded from @rightsofnationPhoto

Добровольца Русской Весны Михаила Филатова хотят упрятать за решетку по Проблеме-500. Просим поддержки военно-гражданского общества. Мы неоднократно писали о Проблеме-500, с которой столкнулись многие российские добровольцы, воевавшие в составе Народных милиций ДНР и ЛНР до 2023 года. Отправившись воевать в тогда ещё независимые республики, они оказались записаны задним числом в штат ВС РФ, когда новые регионы интег

🙏43🤬126🤣3💯2👏1

3 Aug 2026, 15:43 UTC≈2,010 views17 reactionsread 12 August 2026
Forwarded from @tishina_labPhoto

А что с подавлением MILELRS 4? Давайте разберем, какие важные отличия есть в ППРЧ MILERLS с точки зрения подавления. Во-первых, это длина ППРЧ - 2^24. При SF=7, packet rate - 82 Гц и при передаче двух пакетов на канале до перехода на следующий канал это дает нам 113 часов полета, спустя которые последовательность начнет повторяться. Во-вторых, число каналов - 65536, что при ширине полосы, например, 20 МГц дает шаг

🔥152

2 Aug 2026, 16:29 UTC≈1,410 views12 reactionsread 12 August 2026
Forwarded from @militarymanagersVideo

Подкаст Militarymanagers. Менеджер, Джага, Харон отвечают на вопросы подписчиков. В подкасте рассмотрена масса вопросов касающихся военной службы, участия в войне, выживания и выполнение задач в составе штурмовых подразделений и частей БПЛА. Ссылка на ВК кому удобно будет #подкаст@militarymanagers

🙏11👍1

2 Aug 2026, 10:06 UTC≈1,630 views20 reactionsread 12 August 2026
Forwarded from @KykyshkaBpLAPhoto

Друзья, продолжаем закрывать потребности подразделения. Сейчас необходимо приобрести оборудование, без которого сложно выполнять поставленные задачи. В списке на закупку: 🔧 2 универсальных набора инструментов — для обслуживания и ремонта техники в полевых условиях. 🔋 3 аккумулятора DJI Matrice 4T — чтобы беспилотники могли работать без длительных простоев и выполнять больше вылетов. 📡 2 автомобильные радиостанции — д

17👍3

31 Jul 2026, 08:33 UTC≈1,890 views24 reactionsread 12 August 2026
Forwarded from @Detector_Aero

🚀 Что обновили за последние 7 дней Собрали главные изменения в «Детектор АЭРО»: 🗺 Карта — Добавили режим «Укрытия», кластеры и карточки объектов. — Исправили пропадающие укрытия и события при смене подложки. — Убрали мигание и преждевременное исчезновение зон. — Ускорили загрузку карты на мобильных устройствах. 📱 Android — актуальная версия 0.7.9 — Улучшили работу при слабой сети, проблемах DNS и использовании VPN.

👍213

30 Jul 2026, 08:38 UTC≈2,220 views78 reactionsread 12 August 2026
Forwarded from @doctorane4kaVideo

скажу о важном: да, солдаты плачут, и девочки, и мальчики, все плачут под дождь, особенно. они тихонько плачут так незаметней выполнять задачу и плакать по тому, кто не дошёл. товарищ подполковник, книга есть она важна, она сегодня здесь, страницы незапятнаны, как честь товарищ подполковник, память есть на небе наши "держат" пару мест, не страшно.будет быстрым переезд, ну, что же, здравствуй, позывной "Эрнест" давно

🙏50❤‍🔥14👍11🔥21

28 Jul 2026, 11:37 UTC≈2,480 views38 reactionsread 12 August 2026
Forwarded from @interbrigady2022Photo

❗️ Укропы сожгли наш «Соболь». Собираем на новый автомобиль Основная машина Интербригад уничтожена FPV-дроном: требуется ваша помощь В ходе одной из рабочих поездок наш верный Соболь был подбит украинским дроном и полностью сгорел. Наш водитель Ольга Шалина успела покинуть автомобиль и, благодаря броне и супер везучести, отделалась лёгкой контузией. Больше никто не пострадал. Ситуация на дорогах за последние меся

🙏286🍾2😁2

25 Jul 2026, 19:49 UTC≈2,430 views24 reactionsread 12 August 2026
Forwarded from @KykyshkaBpLAPhoto

Друзья, продолжаем закрывать потребности подразделения. Сейчас необходимо приобрести оборудование, без которого сложно выполнять поставленные задачи. В списке на закупку: 🔧 2 универсальных набора инструментов — для обслуживания и ремонта техники в полевых условиях. 🔋 3 аккумулятора DJI Matrice 4T — чтобы беспилотники могли работать без длительных простоев и выполнять больше вылетов. 📡 2 автомобильные радиостанции — д

👍175👎1👏1

21 Jul 2026, 11:37 UTC≈3,230 views32 reactionsread 12 August 2026
Forwarded from @belka_nastaVideo

Всем привет, ребята👋 Пока в разные точки южных территорий доставляется ранее приобретенная необходимая техника, несу к вам следующую просьбу о поддержке фронта. Нужно помочь роте 104-го гвардейского десантно-штурмового полка 76-й ДШД: - 20 портативных радиостанций TYT 390 10W + дополнительный аккумулятор и дополнительная антенна к каждой. Стоимость 1 полного комплекта ~ 7 000 руб. —> необходимая сумма ~ 140 000 ру

19🙏11💩1😎1

20 Jul 2026, 17:44 UTC≈2,490 views23 reactionsread 12 August 2026
Forwarded from @inter_manufactory_77Photo

Летний сбор на материалы для Цеха 77 собран на три четверти Дорогие друзья, наш летний сбор собран уже на три четверти – за всё это время вы поддержали нас на 358 125 руб. Таким образом, до полной суммы в 458 000 руб., необходимой для продолжения работы Цеха этим летом, осталось собрать 99 875 руб. Коллектив Цеха 77 благодарит каждого, кто откликнулся и поддержал наш сбор. Любое, даже самое небольшое пожертвование

👍203

14 Jul 2026, 07:18 UTC≈3,720 views47 reactionsread 12 August 2026
Forwarded from @mihalichandallVideo

Большая зарядка для больших коптеров Купили в летную группу батальона 110 бригады несколько очередных гаджетов, в том числе зарядное устройство для зарядки больших аккумуляторов тяжелых гексакоптеров. Откуда у группы гексакоптеры? Нашли, собрали, починили. Как писали примерно все работающие с фронтом, тяжелые гексакоптеры нашей армии крайне нужны. С учетом минирования своих дронов противником, поливания их боевой

👍369👏1🥰1

Showing the 12 most recent of 15 posts we hold for @nwindpro. 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.

Citation-graph rank

Citation-graph rank — 181,178 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

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 30 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Северный ветер” (@nwindpro), 15,839 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/nwindpro.

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.