Video message, posted without a caption
Signed Nadezhda Griaznova

Channel
@openurbantalks
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
205subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001549624685 |
|---|---|
| Type | Channel |
| Username | @openurbantalks |
| Description | Канал диалога архитекторов Надежды Грязновой и Антонины Алексеевой, которые расскажут про особенности и разные подходы к проектированию в России и не только. Сотрудничество: @NadezhdaGV - Надежда Грязнова @Antonina_peres - Антонина Алексеева |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/openurbantalks |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 04:00 | 205 | no change |
| 6 Aug 2026, 15:07 | 205 | first reading |
13 posts held, back to 3 July 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 1 pageof 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. It is computed over the 7 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 13 (3 July 2026 – 6 August 2026) |
| Views total | 423 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 04:00 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 7 August 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.
43 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 60.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 26 | 60.5% | |
| 🔥 | 8 | 18.6% | |
| 👍 | 4 | 9.30% | |
| custom 5195139505769707647 | 2 | 4.65% | |
| 👏 | 1 | 2.33% | |
| 😁 | 1 | 2.33% | |
| 🤔 | 1 | 2.33% |
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 isTelegram’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 11 of the 13 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 43reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 3 July 2026 to 6 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.
Video message, posted without a caption
Signed Nadezhda Griaznova
Video message, posted without a caption
Signed Nadezhda Griaznova
КАВКАЗСКИЕ ГОРЫ Масштабной величины. Конечно, в школе рассказывают об их величие, все с детства знают пиковую высоту Эльбруса, НО. Я каждый раз удивляюсь этому миру. На столько огромный массив, буквально отвесная стена, где ты просто маленький муравей. Это сумбурное чувство, восторга, безумия, одновременно с осознанием сложности технического и инфраструктурного поддержания территории. Не говоря о развитие. Ваша На…
❤4
Signed Nadezhda Griaznova
КАРТЫ: Давно хотела сделать простой визуальный образ, где я была) Так намного проще и эффективнее говорить о том, что с чем сравнивать и как анализировать. Еще это полезно в разговорах с родственниками, которые думают, что я только в Москву езжу Ваша Надежда На светлое будущее #арх_заметки
🔥5
Signed Nadezhda Griaznova
ЭЛЬМАШ: Спойлер моей сегодняшней презентации 👇 Этот канал начинался с исследования Эльмаша — микрорайона в Екатеринбурге — с точки зрения «ощущения места». И вот эти мысли пригодились: сегодня я буду делиться ими на Летней школе ulab 2026. Когда собирала мысли и заметки в презентацию, родилось много тезисов и выводов, которых раньше не было. Точнее, были — но, как сказал мне на встрече один профессор ВШЭ: «Надежда,…
❤8👍3🤔1
Signed Nadezhda Griaznova
НОВЫЙ ГОРОД для меня: Не хочу пока спойлерить, что это за город. Начну с небольших элементов благоустройства и урбанистики — тех самых, что создают ощущение уюта. Казалось бы, обычное техническое пространство между двумя парками, где расположено производство. В таких местах мы чаще всего видим бетонные заборы и полное отсутствие уюта. ⚪️Территория двух парков разделена производственной зоной — подобных мест в Росс…
❤3👍1🔥1
Signed Nadezhda Griaznova
Video message, posted without a caption
❤2
Signed Nadezhda Griaznova
История о том, как Тоня рисовала на моем свитшоте, когда я переезжала из Екатеринбурга во Владивосток)
❤3
Signed Nadezhda Griaznova
ЦИТАТЫ: Вчера, прогуливаясь по МСК, я с интересом наблюдала за архитектурой сменяющихся улиц. Опять зафиксировала цитаты обычных людей, не из мира архитектуры: — Надя, я думаю, что многие здания теряются, потому что их перекрывают другие. Это происходит из-за разницы в архитектуре и стилях. Круто бы было, если бы они как-то дополняли друг друга. Или перед ними была площадь, открывающая на них вид. Насмотренность р…
❤2
Signed Nadezhda Griaznova
Очень понравился последний пост Дмитрия Плотникова - опытного человека в развитии туризма: "В этом и проявляется одна из форм «мягкой силы»: архитектура способна не только создавать пространство, но и управлять вниманием, формировать новые маршруты, менять символические акценты и даже становиться предметом общественных эмоций. " Давно за ним слежу. Очень нравится его компетентность. Ссылка на его канал Ваша Надеж…
❤1
Signed Nadezhda Griaznova
ДИЗАЙН КОД 📎Я уже писала, что в рамках "Городских экспедиций" мы исследовали Урал. У нас было две приоритетные области: Свердловская и Челябинская. И вот в Миасе – городе в Челябинской области – мы изучали дизайн-код с точки зрения нормативного внедрения в городскую среду. Оказалось, что это сложная процедура, требующая постоянного вовлечения одного или нескольких представителей городской администрации. ‼️С появлен…
👏1😁1
Signed Nadezhda Griaznova
Надя, я согласна с тобой, что разнообразие типов домов дает пространство для интереса и воображения пользователя — человека в городе. Не зря одинаковость домов высмеивали в советских фильмах😊 Для человека разнообразие окружения важно и это научно доказано. Уникальный городской масштаб и вариативность архитектуры дает людям простор для воображения. 🔜Часть из этих тезисов описана в книге «Психология города» Пола Кид…
🔥2
Showing the 12 most recent of 13 posts we hold for @openurbantalks. 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 — 578,438 of 1,160,990entries 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.
Named by 2 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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Архитектура | Открытый Диалог” (@openurbantalks), 205 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/openurbantalks.
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.