Education — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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
5 measurements spanning 36 days, net +3. 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 194–197 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 21:23
197
+1
5 Sept 2026, 23:01
196
+1
22 Aug 2026, 08:38
195
+1
8 Aug 2026, 11:48
194
no change
7 Aug 2026, 17:35
194
first reading
Engagement
9 posts held, back to 26 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 9 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 35s
Average length
1m 48s
Measured directly from 2 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
171 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 72.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
124
72.5%
👍
45
26.3%
👎
1
0.585%
🤯
1
0.585%
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 8 of the 9 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 171 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 26 December 2024 to 9 February 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.
Изучите визуальную культуру в технологиях в открытом лектории Университета 2035 🖼
Хотите узнать больше о летающей машине ИФ-9? Это симбиоз автомобиля и квадрокоптера с инновационным компоновочным решением. На лекции вы сможете изучить:
🔷Историю создания проекта летающей машины ИФ-9 — от первых эскизов до функционирующего результата
🔷Как формировалась концепция
🔷Какие задачи решал промышленный дизайн на каждом эта…
🎉 15 лет кафедре МТ-9 "Промышленный дизайн" МГТУ им. Баумана
Для меня эта дата — больше чем юбилей. Это личная история.
Кафедра стала моей стартовой площадкой в жизни. Я пришёл сюда как студент, а после выпуска вернулся как преподаватель. И всё для того, чтобы передать дальше опыт и целую философию творчества и создания вещей.
✈️ А началось всё… в 10 лет.
В авиамодельном кружке. Именно там, среди запаха дерева и к…
Сегодня в «Национальном центре «Россия» начала работу Российская креативная неделя, в рамках которой нам выпала возможность представить свои проекты в составе Алюминиевой Ассоциации и МГТУ им. Н.Э. Баумана.
Ключевая тема нашей выставочной зоны — образование и подготовка новых поколений инженеров-творцов. Сотрудничество с МГТУ им. Н.Э. Баумана подчеркивает важность связи науки, промышленности и креативного видения.
…
Сегодня в Квантум Парке МГТУ им. Н.Э. Баумана прошла торжественная презентация серийных отечественных криостатов. В презентации приняли участие первый заместитель Председателя Правительства РФ Денис Мантуров, министр науки и высшего образования РФ Валерий Фальков, генеральный директор ФПИ Максим Вакштейн.
Наша команда выполнила этап индустриализации корпусов и внешних элементов системы криостата, который входит в со…
Наш девиз – «Меньше слов – больше дела!»
С гордостью объявляем: наш прототип прошел летные испытания! 🚀 29 июня, в День промышленного дизайна, мы делимся с Вами видео первого полета ИФ-9 – уникального гибрида автомобиля и квадрокоптера.
Что имеем?
- Масштаб 1:5.
- Размеры: 1020*410*290 мм /1750*1750*290 мм.
- Вес: 20 кг.
- Время полета: до 20 минут.
Наш путь был непростым: от тестов в помещении с страховочными тро…
Статья о нашем проекте летающей машины ИФ-9 вышла в сетевом издании TechInsider. https://www.techinsider.ru/vehicles/1673841-chto-poluchitsya-esli-skrestit-avtomobil-s-kopterom-koncept-pervoi-otechestvennoi-letayushchei-mashiny-if-9/
Макет электропоезда ЭП2ДМ
По заказу ООО «КОМЗ» мы изготовили два макета электропоезда ЭП2ДМ. Макеты выполнены в масштабе 1:15 с полностью проработанным пассажирским салоном, кабиной машиниста и интерактивными световыми и звуковыми эффектами.
Мы специально выбрали большой масштаб, чтобы максимально детально проработать все элементы макета, от тележек до элементов интерьера и буферных огней.
Эксклюзивности макету пр…
🔥14👍1
Showing the 9 most recent of 9 posts we hold for @dkbFilatov. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Дизайн-конструкторское бюро «Филатов»” (@dkbFilatov), 197 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/dkbFilatov.
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.
