Telegram RegisterThe public register of Telegram

Channel

Маринина_Pro_dblm (Про_дым) Вентиляция

@prodblm

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,796subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001650472824
TypeChannel
Username@prodblm
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 14 August 2026
On Telegramt.me/prodblm

Growth

1,7951,7961,795.57 August 2026 — 1,795 subscribers7 August 2026 — 1,795 subscribers10 August 2026 — 1,796 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net +1. 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 1,795–1,796 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:171,796+1
7 Aug 2026, 11:481,795no change
7 Aug 2026, 00:461,795first reading

Engagement

18 posts held, back to 5 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
37.8%
avg views ÷ 1,796 subscribers
Avg views / post
679
6 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
6
of 18 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. It is computed over the 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held18 (5 June 20267 August 2026)
Views total4,074
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:30 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.

Reaction mix

370 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 50.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18750.5%
🔥12132.7%
👍287.57%
😁112.97%
❤‍🔥92.43%
💯92.43%
🥰30.811%
👏20.541%

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 16 of the 18 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 370reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 5 June 2026 to 7 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @prodblm. 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 18 most recent posts we hold for this entry, published 5 June 2026 to 7 August 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

7 Aug 2026, 15:06 UTC163 viewsread 7 August 2026

Информация для пользователей моей платформы. Изменения в авторизации для всех пользователей платформы Добрый день! В связи с изменениями в законодательстве вход через иностранные сервисы (Google/Apple) больше недоступен. Изменение распространяется на всех пользователей школы. При попытке войти через Google или Apple система найдет существующий аккаунт, если ранее была авторизация через данные сервисы, и предложит н

Signed Татьяна Маринина

31 Jul 2026, 08:51 UTC721 views3 reactionsread 7 August 2026

❗❗❗❗❗❗❗ Подключаемся, машем мне в чате, читаю, кто пришёл 😁🫵🫵🫵

3

Signed Татьяна Маринина

27 Jul 2026, 08:42 UTC≈1,120 views22 reactionsread 7 August 2026

Приветствую вас, мои самые пытливые и неравнодушные к ПДВ проектировщики! На связи Маринина Татьяна, преподаватель и автор образовательных программ по проектированию противодымной вентиляции и эксперт компании "Аэрван"! Я готовлю для вас встречу на тему «Лестницы и лифты в ПДВ». Я хочу вам рассказать: - как правильно выбрать тип расчета; - почему для разных типов расчетов используются разные формулы; - каких расче

🔥156👍1

Signed Татьяна Маринина

21 Jul 2026, 19:29 UTC534 views6 reactionsread 7 August 2026
Forwarded from @ovik_projektPhoto

Вентиляция, отопление, пожарная безопасность: стыкуем нормы и практику Обучающий онлайн-вебинар по СП 7.13130.2013 «Отопление, вентиляция и кондиционирование. Требования пожарной безопасности», который нельзя пропустить специалистам по пожарной безопасности и проектированию! 🗓 Дата: 1 августа 2026 🕖 Время: 11:00 (мск) ▶️Для регистрации: ЖМИ Спикеры: 🔹Старший инспектор отдела нормативно-технического Департамента на

🔥6

Signed Татьяна Маринина

21 Jul 2026, 19:29 UTC697 views7 reactionsread 7 August 2026
Forwarded from @ovik_projekt

На вебинаре: ✅ разберём ключевые требования СП и частые ошибки при их применении; ✅ расскажем, как грамотно увязать инженерные системы с противопожарными нормами; ✅ разберем реальные кейсы и типичные несоответствия из практики; ✅ ответим на ваши вопросы и дадим практические рекомендации. Бонусы для участников: ✅Сертификат участника. ✅Презентации от спикеров. ✅Письменные ответы на все вопросы участников, которые буду

7

Signed Татьяна Маринина

19 Jul 2026, 09:05 UTC839 views19 reactions1 Starread 7 August 2026
Photo

Как выключить в голове генератор рабочего контента❓ Сначала ты кричишь "О'ле, О'ле! Ай-яй-яй и хоп хей лала лей" , а через минуту думаешь, как же наглядно показать логику расчета любого типа ЛК и ЛШ? Пока муза со мной, села рисовать вам наглядную презентацию для нового вебинара А1. Будем думать, как и какие ЛК и ЛШ позволяет нам посчитать Методика, и что обо всем этом думает ГОСТ на ПНР. А прекрасную компанию мне

11🔥7👍1

Signed Татьяна Маринина

15 Jul 2026, 08:18 UTC828 views15 reactionsread 7 August 2026
Forwarded from @takirPhoto

Ошибки конструирования ПДВ в лестнично-лифтовых узлах жилых домов Новая статья Татьяны Марининой уже в журнале АВОК №5. Лестнично-лифтовой узел (ЛЛУ) — это сердце многоэтажного жилого дома. Именно здесь чаще всего возникают ошибки при проектировании приточной противодымной вентиляции (ПДВ). В статье Татьяна разобрала следующие ошибки: ➡️ Подпор в тамбур-шлюзы при выходе из Н2 на улицу ➡️ Сброс избыточного давлен

🔥85👏2

Signed Татьяна Маринина

13 Jul 2026, 12:23 UTC937 views37 reactionsread 7 August 2026
Photo

Я пятый год отношу себя к садоводам, но они относят меня обратно 🤦‍♀️ Муж ждет, когда я пойму, что это не моё, а дети вообще не едят всякие там садовые кислые ягоды и на красоту всем абсолютно параллельно. Но каждый год в землю или горшок я втыкаю свою надежду. В этом году пришло большое осознание. Я всегда говорю своим ученикам, что работа должна подходить вам по психотипу. Психотип (тип функционирования нервной с

27😁7💯3

Signed Татьяна Маринина

10 Jul 2026, 17:12 UTC870 views33 reactionsread 7 August 2026
Photo

Команда классных специалистов по ПДВ на каникулах может консультировать ваших специалистов ОВ всего за 5 000 р/мес ‼️ Опыт младшего специалиста: от внутриутробного развития до 5 земных лет. Знания по пдв впитаны с молоком. По окончанию детского сада будет присвоена степень самого главного слушателя. Опыт старшего специалиста позволит вам за одну консультацию наковырять максимум проблем в вашем проекте и о@ренеть. А

15🔥10👍6😁2

Signed Татьяна Маринина

10 Jul 2026, 10:26 UTC667 views31 reactions1 Starread 7 August 2026
Forwarded from @gfr_engineeringPhoto

[ФАЙЛ] Инженерный калькулятор: Расчет воздуховодов Коллеги, приветствую! Подготовил для вас мощный расчетный инструмент в Excel, который закроет кучу рутинных задач при проектировании вентиляции. 🎯Для кого этот файл? В первую очередь софт заточен под инженеров ОВиК, которые занимаются проектированием общеобменной и противодымной вентиляции. Возможно, будет интересно кому-то из смежников, ГИПам, архитекторам, контрукт

28👍2🔥1

Signed Татьяна Маринина

8 Jul 2026, 09:20 UTC≈1,000 views56 reactionsread 7 August 2026
Photo

Получила свеженький номер журнала. Внутри моя статья. Смотрю, как редактор причесал текст и разместил иллюстрации. Очень нравится. Кажется, для меня эти статьи совсем не про ПДВ. Каждый проект, который я рассматриваю - это чей-то опыт. Иногда я вижу много опыта. Иногда мало. Иногда я вижу опыта больше моего. Иногда меньше моего. Вижу ли я там плохого или хорошего человека? Нет. Вижу ли я там плохого или хорошего сп

30🔥14❤‍🔥7💯5

Signed Татьяна Маринина

7 Jul 2026, 07:27 UTC784 views20 reactionsread 7 August 2026
Forwarded from @aeroproexpertPhoto

💡 Как правильно ответить на вопрос "Нужна ли струйная вентиляция на парковке" Поступил запрос на консультацию. Заложена струйная противодымная вентиляция на парковке, вопрос - все ли верно. Формально можно ответить одной фразой: да, подходит или нет, не подходит. Но в таких задачах простое да/нет почти никогда не закрывает вопрос до конца. За ним всегда стоит развилка, о которой проектировщик может не знать. Экспе

10🔥6👍4

Signed Татьяна Маринина

Showing the 12 most recent of 18 posts we hold for @prodblm. 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.

Citation-graph rank

Citation-graph rank — 262,435 of 1,345,403entries 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 1 registered channel — 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.

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

“Маринина_Pro_dblm (Про_дым) Вентиляция” (@prodblm), 1,796 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/prodblm.

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.