Как Мухина приручала металл, стекло и время У Веры Мухиной было куда больше лиц: скульптор, экспериментатор, театральный художник и один из пионеров советского художественного стекла. На выставке «Вера Мухина. Навстречу ветру» в Историческом музее увидим бронзовый эскиз «Рабочего и колхозницы», скульптуры, макеты, рисунки, фотографии и кинохронику. Разберёмся, как рождались знаменитые монументы и почему в её работа…

Channel
Москва, которой нет
@mknmoscow
On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
8,185subscribers
+3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001113353439 |
|---|---|
| Type | Channel |
| Username | @mknmoscow |
| Created | 20 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/mknmoscow |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:56 | 8,185 | -3 |
| 10 Aug 2026, 06:15 | 8,188 | +5 |
| 6 Aug 2026, 21:32 | 8,183 | +1 |
| 6 Aug 2026, 11:03 | 8,182 | first reading |
Engagement
40 posts held, back to 5 August 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 11 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.83%
- avg views ÷ 8,185 subscribers
- Avg views / post
- 395
- 39 posts measured
- Reaction rate
- 1.04%
- reactions ÷ views · ER floor
- Posts in window
- 40
- of 40 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 32 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 40 (5 August 2026 – 12 August 2026) |
| Views total | 15,418 |
| Reactions total | 138 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:41 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
138 reactions across 32 posts, in 7 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 60 | 43.5% | |
| 👍 | 50 | 36.2% | |
| 🔥 | 21 | 15.2% | |
| 👏 | 2 | 1.45% | |
| 🤔 | 2 | 1.45% | |
| 🥰 | 2 | 1.45% | |
| 🙉 | 1 | 0.725% |
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 40 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 138reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 5 August 2026 to 12 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.
Recent posts
✈️Где «Рабочего и колхозницу» продували в аэродинамической трубе? На улице Радио нас ждёт экскурсия сразу в два места: в музей Николая Жуковского и на закрытую территорию ЦАГИ. В старинном доме, где в 1915–1920 годах работал «отец русской авиации», сохранились настоящие авиационные реликвии: планер Отто Лилиенталя 1895 года, модель «Ильи Муромца» 1915 года, солнечный указатель курса с АНТ-25 и аэродинамическая труб…
👍1
🕰 Почему часы на МГУ показывают разное время? Если вы хоть раз смотрели на Главное здание МГУ с Воробьёвых гор, наверняка замечали: часы на его башнях не синхронны. Нет, это не оптический обман: из-за огромной высоты здания и особенностей его конструкции башни могут немного по-разному деформироваться под воздействием температуры, поэтому механизмы часов когда-то настраивали с учётом этих особенностей. А сколько ещё…
🏛 Сегодня гуляем по старым арбатским переулкам Между Арбатом и Пречистенкой спрятался настоящий лабиринт тихих переулков, старинных особняков и архитектурных сюрпризов. В XVIII веке здесь селилась московская знать, а со временем район даже стали сравнивать с парижским Сен-Жерменским предместьем. Сегодня вместе с Ольгой Василисковой пройдём по Денежному, Глазовскому, Большому Левшинскому и Пречистенскому переулкам. …
❤2
Posted without readable text
🔥5❤3
Photo, posted without a caption
🏚Если вы смотрите на старинные дома в своём городе и думаете: «Жалко, что всё это исчезает», — возможно, пора не просто сожалеть, а действовать. С 14 по 18 сентября в Москве пройдёт школа координаторов «Том Сойер Феста». В неё возьмут всего 20 человек — тех, кто хочет заниматься сохранением исторической среды у себя дома. За несколько дней участники разберутся в вещах, которые особенно пригодятся на практике: — ка…
🔥4
Posted without readable text
❤5
Есть ли жизнь после смерти? На Введенском кладбище — определённо есть. По крайней мере, в камне, бронзе, архитектуре и историях людей, которые здесь похоронены. Есть даже специальное слово — тафофилия: интерес к кладбищам и надгробиям. Но оставим медицинские определения специалистам. Нам гораздо интереснее другое: почему Введенское кладбище называют одним из самых необычных некрополей Москвы. Здесь встретились разн…
❤4👍2
⛩Китайский сад посреди Москвы — звучит как начало хорошего путешествия. И далеко ехать не придется. В парке Хуамин нас ждут пруд с павильонами, беседки с традиционными орнаментами, сад камней и продуманные до мелочей пейзажные композиции. Здесь нет ничего случайного: в китайской традиции сад — это не просто место для прогулки, а маленькая модель мира, где вода, камень, растения и архитектура должны находиться в особ…
❤4
🏛 Сегодня вечером — Шехтель на Патриарших Козихинские переулки и Спиридоновка на рубеже XIX–XX веков превратились в настоящий архитектурный полигон. Здесь один за другим появлялись дома, которым тесно было в рамках привычной московской архитектуры. Ирина Левина покажет главные шехтелевские адреса района: первый собственный дом архитектора, скоропечатню Левенсона, английский дворец Морозова и знаменитый особняк Рябу…
👍8🔥1🙉1
Мухина без пьедестала: судьба, любовь и скульптура Профессор Преображенский имел реального прототипа — мужа скульптора Веры Мухиной. Алексей Замков был врачом-эндокринологом и талантливым учёным. Он создал первый советский гормональный препарат, но научная карьера закончилась после конфликта с партийным руководством. Замкова уволили, семье стало понятно: арест — лишь вопрос времени. Мухина, Замков и их сын попытал…
❤8👍2
Showing the 12 most recent of 40 posts we hold for @mknmoscow. 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.
Posts edited after publishing
@mknmoscow edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 10 August 2026
- Most recent edit
- 10 August 2026
Citation-graph rank
Citation-graph rank — 1,017,854 of 1,478,351entries 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
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Москва, которой нет” (@mknmoscow), 8,185 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mknmoscow.
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.