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Channel
@stalagnull
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry
27,716subscribers
+210 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001126040115 |
|---|---|
| Type | Channel |
| Username | @stalagnull |
| Description | • канал Софии Широгоровой • военная история ХХ в., war & violence studies • 40 часов вебинаров о военной истории и истории насилия + патронский чат: https://boosty.to/stalagnull https://www.buymeacoffee.com/shirogorova • связь: @Crni_bombarder_1918 |
| Created | 6 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/stalagnull |
Film & TV — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 01:17 | 27,716 | +1 |
| 5 Nov 2026, 03:45 | 27,715 | -7 |
| 4 Nov 2026, 06:41 | 27,722 | -2 |
| 3 Nov 2026, 06:54 | 27,724 | -8 |
| 2 Nov 2026, 04:21 | 27,732 | -10 |
| 1 Nov 2026, 02:30 | 27,742 | +1 |
| 29 Oct 2026, 23:07 | 27,741 | -4 |
| 28 Oct 2026, 22:41 | 27,745 | -1 |
| 28 Oct 2026, 00:46 | 27,746 | +3 |
| 27 Oct 2026, 00:30 | 27,743 | -2 |
| 26 Oct 2026, 00:10 | 27,745 | -2 |
| 24 Oct 2026, 22:50 | 27,747 | -4 |
| 24 Oct 2026, 01:31 | 27,751 | +2 |
| 23 Oct 2026, 03:07 | 27,749 | -3 |
| 22 Oct 2026, 03:39 | 27,752 | +6 |
| 21 Oct 2026, 01:21 | 27,746 | +1 |
| 19 Oct 2026, 21:16 | 27,745 | +6 |
| 18 Oct 2026, 21:20 | 27,739 | +13 |
| 17 Oct 2026, 20:35 | 27,726 | +11 |
| 16 Oct 2026, 17:59 | 27,715 | first reading |
22 posts held, back to 8 May 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 143 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 22 (8 May 2026 – 31 October 2026) |
| Views total | 54,060 |
| Reactions total | 2,005 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 02:36 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.
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
14,953 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 46.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6,953 | 46.5% | |
| 👍 | 2,621 | 17.5% | |
| 🔥 | 2,091 | 14.0% | |
| 😁 | 1,334 | 8.92% | |
| 🕊 | 352 | 2.35% | |
| 🤔 | 334 | 2.23% | |
| 😢 | 298 | 1.99% | |
| 🫡 | 258 | 1.73% | |
| custom 5917787905308234080 | 204 | 1.36% | |
| 👎 | 146 | 0.976% | |
| 🤯 | 83 | 0.555% | |
| 💔 | 79 | 0.528% | |
| 🥴 | 76 | 0.508% | |
| 😱 | 45 | 0.301% | |
| 💅 | 40 | 0.268% | |
| 🌚 | 39 | 0.261% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 20 of the 22 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 14,953 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 8 May 2026 to 31 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @stalagnull. 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 22 most recent posts we hold for this entry, published 8 May 2026 to 31 October 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.
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) 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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(Хэллоуиновый постинг! 👼)
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тотальная война, 2 Совсем другое дело "тотальная война". Принято считать, что пришествие ее связано с Французской революцией. Знаменитый levée en masse 1793 г. мобилизовал французское общество целиком: кого-то прямо под ружье, кого-то – для обеспечения тех, кто под ружьем; в формуле "каждый гражданин — солдат" нашлось место и женщинам, и детям, и старикам (последние, кстати, должны были воодушевлять войска речами и …
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тотальная война, 1 В разгар Франко-прусской войны 1870-1871 американский генерал Филипп Шеридан, герой недавно отгремевшей Гражданской, был отправлен в качестве наблюдателя в прусскую армию. Схватка двух ведущих армий ужасно всех интересовала, да и было ощущение, что именно в Европе определяется, в каком направлении будет развиваться военное искусство. Сперва Шеридан только восхищался прусской армией и прусскими ко…
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Анализируем исторические книги из шкафа AfDшных политиков, даем рекомендации –> Что есть: две книги Винклера по истории Запада Чем заменить: у Винклера самые интересные книги по его прямой специализации — про Веймарскую республику Что есть: биография Гинденбурга с упором на его политическую карьеру, известно чем закончившуюся. Чем заменить: ничем, идеальный выбор! Что есть: "Сталин" Монтефьоре Чем заменить: на не…
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А вот, собственно, и запись вебинара: как Германия выходила из Первой мировой войны (история сильно больше и увлекательнее, чем само по себе подписание Компьенского перемирия) Кстати, если вам в целом интересна именно германская сторона в ПМВ, то очень советую недавнюю книгу немецкого историка Хольгера Аффлербаха, удачно переведенную на английский: Afflerbach H. On a Knife Edge: How Germany Lost the First World War…
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Тематическая плюшевая игрушка для канала по военной истории? Именно так! Этот мишка во время ПМВ принадлежал британскому авиатору Уильяму Макланахану (он, конечно, шотландец, поэтому и игрушка в соответствующем прикиде). Макланахан брал мишку в полеты в качестве счастливого талисмана – подобное, как ни странно, было в Первую мировую достаточно распространенным делом. Авиация в то время была занятием крайне опасным, …
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Stalag Null pinned «1/3 На германское вторжение 22 июня 1941 мы привыкли смотреть с советской стороны. Потому и обсуждаем исключительно ее, эту самую советскую сторону. Готов ли был СССР к войне? Если нет, то как так? Если да, то чем объяснить отступление до самой Москвы и чудовищные…»
(в сторону: про "Одиссею" Нолана – Нолан-то внезапно на нашу территорию зашел; постараюсь без, кхм, спойлеров) Удивительно: насколько далеки оказались все споры и претензии в интернете от, собственно, содержания фильма; что-то это да говорит об уровне дискуссий в наше время. Нолан, вопреки ожиданиям, вообще не стал снимать историческое кино. Подход так-то абсолютно оправданный – материал "Одиссеи" не предполагает п…
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3/3 Вмешательство Гитлера в военное планирование было, как всегда, решающим. Генштаб сухопутных войск в лице своего начальника, Франца Гальдера, считал, что надо всеми силами стремиться к Москве и состредоточиться на ее захвате. Гитлера это не впечатлило. Он решил, что Москва не так важна: а надо сперва занять важные промышленные центры, Украину (Украина была идеей фикс), ну и другие богатые ресурсами территории. Т…
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2/3 После Маркса аналогичное задание получил генерал Бернхард фон Лоссберг. Он работал подольше, и использовал как наработки своего предшественника, так и указания начальства. Общая концепция у Лоссберга, впрочем, вышла похожая: только теперь вместо двух групп армий действовали три. Две к северу от Припятских болот, одна – к югу. Кроме того, в отличие от Маркса, Лоссберг меньше значения уделял Москве, а больше дума…
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1/3 На германское вторжение 22 июня 1941 мы привыкли смотреть с советской стороны. Потому и обсуждаем исключительно ее, эту самую советскую сторону. Готов ли был СССР к войне? Если нет, то как так? Если да, то чем объяснить отступление до самой Москвы и чудовищные потери? Однако картина выглядит совсем иначе, если перевернуть ее — и поглядеть на вторжение с германской стороны. Главная мысль, которая после такого уп…
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Showing the 12 most recent of 22 posts we hold for @stalagnull. 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.
We recorded 1 post on @stalagnull as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
Named by 11 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Stalag Null” (@stalagnull), 27,716 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/stalagnull.
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.