2 measurements taken within a single day. 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 231–233 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 02:47
232
no change
6 Aug 2026, 13:50
232
first reading
Engagement
11 posts held, back to 9 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 · 30 days
76.2%
avg views ÷ 232 subscribers
Avg views / post
177
8 posts measured
Reaction rate
10.7%
reactions ÷ views · ER floor
Posts in window
8
of 11 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
Window
Rolling 30 days · latest post in window 4 August 2026
Posts held
11 (9 July 2026 – 4 August 2026)
Views total
1,414
Reactions total
152
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 02:47 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
Photos
66
Videos
3
Links
28
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.
Reaction mix
209 reactions across 11 posts, in 20 distinct kinds. The most used accounts for 28.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
59
28.2%
🔥
43
20.6%
👍
30
14.4%
🤓
17
8.13%
😁
10
4.78%
🎉
9
4.31%
💯
9
4.31%
😍
5
2.39%
👎
4
1.91%
👏
4
1.91%
🤔
4
1.91%
🗿
3
1.44%
🤬
3
1.44%
💋
2
0.957%
🤩
2
0.957%
✍
1
0.478%
👨💻
1
0.478%
🙏
1
0.478%
🤷♂
1
0.478%
🫡
1
0.478%
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 11 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 209reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 9 July 2026 to 4 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
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @realsmykov. 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 11 most recent posts we hold for this entry, published 9 July 2026 to 4 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.
⭐️ РОЗЫГРЫШ ДЛЯ ТЕХ, КТО НЕ ГАДАЕТ, А ПРОГНОЗИРУЕТ
Вы просили — мы повторяем! Еще одна книга и еще один шанс пополнить свою библиотеку!
Forecast ID совместно с КорСоветом разыгрывают книгу «Научно-методологические основы прогнозирования обеспечения сферы образования и науки кадрами высшей научной квалификации».
🔝 В издании собраны подходы к прогнозированию кадровой потребности в сфере образования и науки — полезны…
По приглашению моих больших друзей — Кубанского научного фонда — выступил с лекцией для участников тематической смены «#ЯВДвижении» форума «Регион 93»
Посвятил ее научно-популярной теме «Солнце в каждый дом, или история молодого теплофизика». Подробно рассказал ребятам, как современные технологии отопления меняют жизнь человека и какой путь проходят энергоэффективные решения — от идеи до внедрения. Привел пример ННГ…
Значимая новость для тех, кто планирует посетить КМУ‑2026
VI Конгресс молодых ученых в этом году состоится 2-4 декабря в Санкт-Петербурге. Молодые ученые соберутся на площадке конгрессно-выставочного центра «Экспофорум», который традиционно принимает ПМЭФ.
Смена локации — важный шаг. Раньше событие проходило в Сочи, и для многих участников из отдаленных регионов дорога была достаточно трудной. Санкт-Петербург логис…
«Сейчас в России открываются установки класса мегасайенс, учёные работают в новых лабораториях, студенты учатся в современных кампусах, а создаём это всё мы — строители»
Продолжаем знакомить вас с участниками пятого сезона проекта «Наука в лицах». Кандидат технических наук, директор департамента развития ННГАСУ Александр Смыков — участник встречи с Президентом РФ на Конгрессе молодых учёных.
Он придумывает системы …
Решил для себя, что также буду вести канал в национальном мессенджере MAKC 🇷🇺
Причина простая и практическая: перебои в работе интернета в последнее время стали слишком частым явлением, и я не хочу, чтобы кто-то из вас остался без важной информации о развитии ННГАСУ, работе КорСовета или моих экспертных оценках происходящего в отрасли.
МАКС — устойчивый и доступный канал связи, а значит — дополнительная гарантия то…
Как учёному говорить с теми, кто прошёл СВО, о будущем страны?
Выступил перед участниками программы «Герои. Нижегородская область» — теми, кто скоро будет управлять регионами и корпорациями.
Готовился иначе, чем обычно. Одно дело — рассказывать про Десятилетие науки молодым учёным, которые в теме, и совсем другое — говорить о технологическом лидерстве с людьми, чей управленческий опыт выкован не в аспирантуре, а в …
Смыков. Наука. Кремль.
Нижегородский учёный разрабатывает системы отопления, которые экономят до 40% энергии. Вместо воздуха согревает людей. Его инфракрасные излучатели способны работать в экспоцентрах и аэропортах.
Он же — замглавы Координационного совета по науке при Президенте. И дачник. В субботу — на грядках в Дальнем Константинове.
👉 Как физик оказался в федеральной повестке?
👉 Почему не уехал в столицу?
👉 …
Хочу присоединиться к поздравлениям человека, которого безмерно уважаю и на которого ровняюсь!
Андрей Александрович!
Для КорСовета и меня лично Вы — не просто руководитель, а наставник. Под Вашим руководством мы выстраивали работу с молодежью, учились слышать и понимать тех, кто делает первые шаги в науке. Ваша поддержка, внимание к деталям и готовность вникать в сложные вопросы вдохновляют работать дальше.
Для на…
Прорабатываем идею производственной аспирантуры в регионе
Для Нижегородской области это стратегически важное направление. У нас мощная научно-производственная база: ОКБМ имени Африкантова, ННИИРТ, РФЯЦ–ВНИИЭФ и многие другие. Они нуждаются в специалистах, которые свободно ориентируются и в науке, и в производстве.
Производственная аспирантура как раз про это! Молодой ученый не отрывается от реального сектора, а реш…
🤖Какие навыки останутся востребованными в эпоху ИИ?
Это обсудили на панельной дискуссии «Краш-тест профессий будущего», проходившей на площадке VK Fest в Нижнем Новгороде.
🔺Модератор дискуссии, заместитель председателя КорСовета, директор Департамента развития ННГАСУ Александр Смыков поделился тем, как это было:
«На VK Fest мы устроили настоящий краш-тест профессий будущего — без реверансов и общих слов. Собрали н…
Снова на сцене!
Уже в эту субботу, 11 июля в 14:30, встретимся на VK Fest в Нижнем Новгороде на площадке «Стрелка».
Буду модерировать панельную дискуссию в VK Лектории на тему, которая сейчас в центре внимания:
«Краш-тест профессий будущего: какие ИТ- и научные навыки спасут тебя от конкуренции с нейросетями»
Скажу честно: паника вокруг ИИ преувеличена! Нейросети — это инструмент человека, а не приговор. Вопрос л…
❤9🔥6👍4🤓2👨💻1💯1🫡1😁1
Showing the 11 most recent of 11 posts we hold for @realsmykov. 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 — 559,522 of 1,480,688entries 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
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
Named by 3 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.
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“Смыков: настоящее развитие” (@realsmykov), 232 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/realsmykov.
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.
