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Channel

Мародер Хаски | Г.Я. Шпрее

@ShapkaSchpree

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

14,752subscribers

+55 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-1001976886932
TypeChannel
Username@ShapkaSchpree
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/ShapkaSchpree

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

14,45415,00514,729.56 August 2026 — 14,697 subscribers7 August 2026 — 14,801 subscribers8 August 2026 — 14,844 subscribers9 August 2026 — 14,839 subscribers10 August 2026 — 14,786 subscribers11 August 2026 — 14,757 subscribers12 August 2026 — 14,732 subscribers13 August 2026 — 14,694 subscribers14 August 2026 — 14,649 subscribers16 August 2026 — 14,562 subscribers17 August 2026 — 14,543 subscribers18 August 2026 — 15,005 subscribers19 August 2026 — 14,966 subscribers20 August 2026 — 14,782 subscribers21 August 2026 — 14,679 subscribers23 August 2026 — 14,884 subscribers24 August 2026 — 14,716 subscribers25 August 2026 — 14,598 subscribers26 August 2026 — 14,568 subscribers27 August 2026 — 14,529 subscribers28 August 2026 — 14,511 subscribers29 August 2026 — 14,546 subscribers30 August 2026 — 14,614 subscribers31 August 2026 — 14,665 subscribers1 September 2026 — 14,713 subscribers2 September 2026 — 14,751 subscribers4 September 2026 — 14,745 subscribers6 September 2026 — 14,662 subscribers10 September 2026 — 14,531 subscribers12 September 2026 — 14,454 subscribers14 September 2026 — 14,878 subscribers15 September 2026 — 14,802 subscribers17 September 2026 — 14,752 subscribers14,7526 August 202617 September 2026
33 measurements spanning 42 days, net +55. 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 14,371–15,088 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 10:3914,752-50
15 Sept 2026, 12:2114,802-76
14 Sept 2026, 00:1714,878+424
12 Sept 2026, 06:5914,454-77
10 Sept 2026, 04:5914,531-131
6 Sept 2026, 19:3714,662-83
4 Sept 2026, 03:5814,745-6
2 Sept 2026, 16:1414,751+38
1 Sept 2026, 16:4414,713+48
31 Aug 2026, 17:5614,665+51
30 Aug 2026, 20:5714,614+68
29 Aug 2026, 20:1214,546+35
28 Aug 2026, 21:0414,511-18
27 Aug 2026, 22:1514,529-39
26 Aug 2026, 21:2514,568-30
25 Aug 2026, 23:0814,598-118
24 Aug 2026, 21:1814,716-168
23 Aug 2026, 08:1614,884+205
21 Aug 2026, 22:1814,679-103
20 Aug 2026, 15:0414,782first reading

Engagement

32 posts held, back to 15 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
48.9%
avg views ÷ 14,752 subscribers
Avg views / post
7,210
6 posts measured
Reaction rate
4.09%
reactions ÷ views · ER floor
Posts in window
6
of 32 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 3 September 2026
Posts held32 (15 June 20263 September 2026)
Views total43,250
Reactions total1,769
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:13 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
11m 10s
Average length
11m 10s

Measured directly from 1 video 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

7,438 reactions across 32 posts, in 4 distinct kinds. The most used accounts for 27.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🫡2,07727.9%
1,92725.9%
🌚1,89225.4%
👨‍💻1,54220.7%

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 32 of the 32 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 7,438 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 15 June 2026 to 3 September 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

3 Sept 2026, 10:42 UTC≈3,760 views119 reactionsread 3 September 2026
Photo

К слову, OmniScientist OmniScientist — это open-source (MIT) агент, который берет ваши данные и сам проводит полный цикл исследования: от гипотезы до готового PDF. Может также делать модели, на картинке справа это видно. Вы указываете папку с данными и направление. Дальше агент сам: ⏺Смотрит на сырые данные (картинки, звук, 3D-модели, таблицы — что угодно). ⏺ Формулирует гипотезу и пишет код для анализа. ⏺Запускае

🌚57🫡517👨‍💻4

3 Sept 2026, 10:32 UTC≈3,740 views157 reactionsread 3 September 2026

Не знаю, кому в голову прилетела гениальная идея делать детектор ИИ на основе поиска стиля ИИ, но этот человек войдет в историю как главный луддит. В чем проблема? В терминалах. Многие детекторы наглухо игнорируют тот факт, что нейросети хорошо продвинулись в работе с кодом, математикой и сканированием PDF (что позволяет им лучше работать с цитатами из книг напрямую и анализировать подходы в книгах между собой). О

👨‍💻72🫡49🌚1917

31 Aug 2026, 09:16 UTC≈6,400 views370 reactionsread 3 September 2026
Forwarded from @ntstgVideo

Руки для ИИ Anthropic открыла исследовательский доступ к Model Hardware Standard (MHS) — новому стандарту, позволяющему ИИ-агентам работать непосредственно с реальным физическим оборудованием: роботами, микроскопами, лазерами, дозаторами, измерительными приборами и производственными установками. До сих пор практически каждый станок или лабораторный прибор имеет собственный интерфейс, протокол и ПО. Чтобы заставить

162🫡103👨‍💻60🌚45

30 Aug 2026, 20:11 UTC≈9,670 views535 reactionsread 3 September 2026

Могу кратко сказать заранее товарищу иноагенту, с которым приходилось неоднократно сталкивался в профсоюзах. Если в РФ произойдут реформы по демократизации, обновлению системы и переустройству общества, то такие кадры, которые там сидели и тщательно обсуждали "новую Россию будущего" тем более окажутся не нужны. Это должны быть суверенные силы, которые реально сталкивались с проблемами на местах. Точка. Хоть ленински

🫡256125👨‍💻104🌚50

30 Aug 2026, 16:59 UTC≈10,000 views293 reactionsread 3 September 2026
Forwarded from @kargin_versionPhoto

Не раз приходилось встречать утверждения о том, что в России какой-то системно избыточный уровень государственных расходов, который нужно сокращать, чтобы он де «не вытеснял частный сектор». Однако в реальности картина совершенно иная. Например, в США доля расходов федерального бюджета в ВВП на протяжении последних 25 лет была хронически выше, чем в России, за исключением двух отдельных годов - 2002-го и 2009-го. Ч

105🫡81👨‍💻54🌚53

30 Aug 2026, 15:35 UTC≈9,680 views295 reactionsread 3 September 2026

Posted without readable text

111🫡111🌚54👨‍💻19

20 Aug 2026, 18:59 UTC≈9,490 views301 reactionsread 3 September 2026

Я не пропал, просто заколебался с настройкой ИИ-агента, который выдает ошибки каждые пять минут. Все же лучше берите напрямую API, а не через Openrouter. Работает через раз. Попытался использовать Гигачат, чтобы иметь хоть что-то на всякий случай, но пока... Результат так себе. Его Сберу допиливать и допиливать еще надо. GLM хорош, жду пробовать Kimi. #Опять_да_сколько_можно_а? 🔴Подписаться на блог ⚡️Поддержать

125🫡64🌚60👨‍💻52

17 Aug 2026, 04:29 UTC≈9,070 views192 reactionsread 3 September 2026

Posted without readable text

🫡95🌚64👨‍💻276

14 Aug 2026, 06:50 UTC≈7,390 views196 reactionsread 3 September 2026
Forwarded from @ntstgFile

Большая цель: наши политические переговоры с миром Мы перевели для вас эпохальную книгу Ма Цяньцзу и его товарищей, выражающую квинтэссенцию взглядов неофициальной "Индустриальной партии" Китая - сторонников экспоненциального роста, неограниченного прогресса и опоры на собственную промышленную и военную мощь. Это, без сомнения, выдающееся произведение поможет русскому читателю понять "что у китайцев на уме", взглян

🌚94👨‍💻50🫡4210

12 Aug 2026, 13:42 UTC≈12,100 views204 reactionsread 3 September 2026
Forwarded from @guzhelya_proPhoto

прореформаторов поскольку последние пару недель я каждое утро провожу за рулем почти час с огромным удовольствием переслушиваю Петра I by Алексей Толстой если вы не читали — срочно добывать экземпляр это супер-книга для тех, кто хоть раз пытался что-то менять во-первых, крайне мало можно привести примеров реальных инноваций и сломов старой системы которые не растворились бы в исторической ткани а породили новые мо

🌚100🫡3935👨‍💻30

10 Aug 2026, 20:49 UTC≈10,200 views204 reactionsread 3 September 2026
Photo

То, что у партии «Яблоко» шансов было и так мало, понятно с самого начала. Но то, что это превратится в форменный цирк, я лично не ожидал. Хотя ладно, мощная российская бюрократия всегда отличалась странноватой инерцией: словно процессы идут по течению, и в какой-то миг резко вспоминаешь, что вообще-то за следующим поворотом — водопад. Другое дело — а чего народ возмущается такому итогу? Объясняю. Проблема яблочни

👨‍💻9939🫡39🌚27

9 Aug 2026, 20:11 UTC≈10,800 views206 reactionsread 3 September 2026
Photo

Я скоро начну рассказывать о приключениях в землях Кубани, но хочу сказать вот что — еды тут полно, с топливом есть небольшие проблемы, сирены громкие, но не постоянные, у берега дельфинов не видел, народ прикольный. Еще хочу отметить, что несмотря на белые списки, интернет тут работает довольно хорошо. Отрубался он только в Ростове полностью. Даже в Курске внезапно заработала запрещенка, что меня знатно удивило. Ма

👨‍💻102🌚56🫡3018

Showing the 12 most recent of 32 posts we hold for @ShapkaSchpree. 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

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 6 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Мародер Хаски | Г.Я. Шпрее” (@ShapkaSchpree), 14,752 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ShapkaSchpree.

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.