Education — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 26 October 2026 and assigned it the closest of 31 fixed categories, at 56% 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 the other topics.
Growth
4 measurements spanning 14 days, net +11. 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 211–226 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Oct 2026, 17:56
224
+2
20 Oct 2026, 14:06
222
+6
14 Oct 2026, 06:08
216
+3
12 Oct 2026, 16:22
213
first reading
Engagement
15 posts held, back to 11 September 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
72.8%
avg views ÷ 224 subscribers
Avg views / post
163
5 posts measured
Reaction rate
3.14%
reactions ÷ views · ER floor
Posts in window
5
of 15 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 October 2026
Posts held
15 (11 September 2026 – 10 October 2026)
Views total
815
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 16:22 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
Video runtime
1m 29s
Average length
1m 29s
Measured directly from 1 video 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
33 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 39.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
13
39.4%
👍
13
39.4%
😱
4
12.1%
🔥
2
6.06%
👎
1
3.03%
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 10 of the 15 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 11 September 2026 to 10 October 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.
📌📌📌11 и 12 ноября в Минск впервые, по нашему приглашению приезжает Алексей Решетун с двумя лекциями.📌📌📌
💥Алексей Михайлович Решетун.
Врач судебно-медицинский эксперт высшей квалификационной категории, автор научно-популярных книг, победитель в литературном конкурсе среди медицинских работников «Здравомыслие-2020» Минздрава России, член Российского союза писателей.
Алексей Решетун умеет говорить о судебной медицине т…
🍁24 октября 2026 года 🍁
приглашаем вас в насыщенное путешествие по удивительным местам Беларуси 🍂
📌За один день мы увидим старинный Мир, наследие Хрептовичей, побываем в усадьбе Раецких, посетим храм в Райце и завершим поездку у одного из самых красивых и загадочных озёр Беларуси — Свитязи.
В программе:
📍 Музей «Мирский Посад»Здесь собраны уникальные экспонаты: старинные монеты, книги, предметы быта и даже подлинные …
💥Приглашаем посетить лекцию — «Н. А. Римский-Корсаков: музыкальный сказочник»
— 🕰 Ждём вас - 15 октября в 18:30,
💥Внимание!!!! Новый адрес!💥
ул.Раковская 25/1,
❓Почему композитор, окончивший Морской кадетский корпус и совершивший кругосветное плавание, стал главным сказочником русской музыки?
❓Из-за чего он получил статус «оперный композитор»?
🍁На лекции мы пройдем путь Римского-Корсакова – от морского офицера до про…
🍁 Шпацыр па Магазіннай.
📅13.10.2026
Запрашаем вас даведацца гісторыю вуліцы Кірава, якая хацела стаць праспектам. Гэта вуліца мае досыць насычаную і драматычную гісторыю. Спачатку праз яе пралягалі гарадскія ўмацаванні, потым яна з’яўлялася лагістычным цэнтрам усяго губернскага Мінску, а пасля нават мела няўдалую спробу стаць праспектам!
-❓ На экскурсіі мы шмат даведаемся аб элітнай адукацыi
-❓Узгадаем, чаму менчукі …
Запрашаем у вандроўку па мясцінах жыццёвага і творчага генію зоркі літаратуры сусветнага ўзроўню - Адама Міцкевіча.
📅 Дата: 10.10.2026 (субота)
Выезд з Мінска - 7:45
Вяртанне ≈20:00
🍁Спачатку мы завітаем ў Наваградак. Гэта не толькі горад дзяцінства Міцкевіча, але і старажытная сталіца Вялікага Княства Літоўскага. Там мы уздымемся на замкавую гару, паблукаем па старадаўніх вуліцах, пабачым знакамітую Фа…
Присоединяйтесь к нашей поездке, 26.09.26 места ещё есть.
https://docs.google.com/forms/d/e/1FAIpQLSefzYpTEmf6szhhZXHFfcFodEJVis8va_x77gdVQ7p_KZFPvQ/viewform?usp=header
🔖Лабірынты Старога Гораду🔖
❓Вы думаеце, што ведаеце Мінск? Забудзьцеся пра шырокія праспекты ды манументальныя пабудовы! Сапраўдны горад хаваецца за параднымі фасадамі, рыпіць старымі дзвярамі і гучыць мільёнам галасоў тых, хто ў ім калісці жыў.
🍁Запрашаем вас на шпацыр па лабірынтах і дварах Рэвалюцыйнай, Камсамольскай і Інтэрнацыянальнай.
Падчас экскурсіі даведаемся:
❓- што хаваецца пад савецкімі назвамі вуліц,…
Showing the 12 most recent of 15 posts we hold for @freskilektor. 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.
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.
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 26 October 2026 — this
entry's latest reading, not the date you are reading this.
“Лекторий "Фрески"” (@freskilektor), 224 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/freskilektor.
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.