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Channel

Свободный университет

@freemoscowuniversity

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

11,665subscribers

+313 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001207324019
TypeChannel
Username@freemoscowuniversity
Created4 September 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/freemoscowuniversity

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.

Growth

11,29211,66511,478.55 August 2026 — 11,352 subscribers6 August 2026 — 11,352 subscribers7 August 2026 — 11,349 subscribers8 August 2026 — 11,348 subscribers9 August 2026 — 11,350 subscribers11 August 2026 — 11,349 subscribers13 August 2026 — 11,345 subscribers14 August 2026 — 11,343 subscribers16 August 2026 — 11,341 subscribers17 August 2026 — 11,335 subscribers18 August 2026 — 11,337 subscribers19 August 2026 — 11,332 subscribers20 August 2026 — 11,327 subscribers22 August 2026 — 11,325 subscribers23 August 2026 — 11,321 subscribers25 August 2026 — 11,317 subscribers26 August 2026 — 11,301 subscribers27 August 2026 — 11,292 subscribers28 August 2026 — 11,298 subscribers30 August 2026 — 11,301 subscribers31 August 2026 — 11,331 subscribers1 September 2026 — 11,353 subscribers2 September 2026 — 11,363 subscribers4 September 2026 — 11,361 subscribers6 September 2026 — 11,368 subscribers9 September 2026 — 11,526 subscribers12 September 2026 — 11,585 subscribers14 September 2026 — 11,627 subscribers15 September 2026 — 11,657 subscribers18 September 2026 — 11,665 subscribers5 August 202618 September 2026
30 measurements spanning 43 days, net +313. 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 11,236–11,721 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
18 Sept 2026, 01:0011,665+8
15 Sept 2026, 19:3911,657+30
14 Sept 2026, 00:3911,627+42
12 Sept 2026, 04:0011,585+59
9 Sept 2026, 20:1611,526+158
6 Sept 2026, 10:2111,368+7
4 Sept 2026, 03:0111,361-2
2 Sept 2026, 18:0411,363+10
1 Sept 2026, 15:2411,353+22
31 Aug 2026, 15:5611,331+30
30 Aug 2026, 14:3911,301+3
28 Aug 2026, 11:3811,298+6
27 Aug 2026, 08:2211,292-9
26 Aug 2026, 05:2411,301-16
25 Aug 2026, 02:5711,317-4
23 Aug 2026, 20:5411,321-4
22 Aug 2026, 06:0511,325-2
20 Aug 2026, 19:3211,327-5
19 Aug 2026, 17:1211,332-5
18 Aug 2026, 16:1711,337first reading

Engagement

18 posts held, back to 10 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
29.8%
avg views ÷ 11,665 subscribers
Avg views / post
3,480
5 posts measured
Reaction rate
2.36%
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held18 (10 June 20262 September 2026)
Views total17,400
Reactions total410
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:45 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
29s
Average length
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

712 reactions across 17 posts, in 16 distinct kinds. The most used accounts for 54.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
38854.5%
🔥9212.9%
👍9012.6%
💔527.30%
👏263.65%
🤯182.53%
❤‍🔥141.97%
🕊91.26%
🙏70.983%
😢60.843%
👎40.562%
🌚20.281%
🎉10.14%
🐳10.14%
🤔10.14%
🤣10.14%

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 17 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 712 reactions 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 10 June 2026 to 2 September 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

2 Sept 2026, 12:02 UTC≈1,710 views41 reactionsread 3 September 2026
Photo

В осеннем семестре 2026 года Школа точных наук Свободного предлагает целых семь курсов! Классические курсы математики, которые обязательны для всех интеллигентных людей, “Линейная и векторная алгебры” и “Основы математического анализа”, которые можно услышать в изложении Андрея Бузина. Для тех, кто хотел бы познакомиться с тем, почему и как работают все современные электронные устройства на самом фундаментальном уро

👍23🔥135

31 Aug 2026, 12:06 UTCviews —

Свободный университет pinned «🧑‍🎓80 курсов и две магистерские программы: поехали! Осенний семестр 2026 года в Свободном открыт. С 31 августа по 14 сентября мы набираем студентов на 68 новых курсов по всем областям знаний. Традиционно с фокусом на социальные и гуманитарные науки, которые…»

31 Aug 2026, 12:06 UTC≈3,300 views108 reactionsread 3 September 2026

🧑‍🎓80 курсов и две магистерские программы: поехали! Осенний семестр 2026 года в Свободном открыт. С 31 августа по 14 сентября мы набираем студентов на 68 новых курсов по всем областям знаний. Традиционно с фокусом на социальные и гуманитарные науки, которые нельзя изучать в условиях цензуры. В этом семестре у вас также есть возможность записаться на одну из двух больших магистерских программ - по журналистике и пуб

76🔥16🕊8👍5👏3

30 Aug 2026, 09:31 UTC≈5,980 views153 reactionsread 3 September 2026

Привет, Свободному нужна помощь! Каникулы заканчиваются, и завтра, 31 августа, мы открываем новый семестр. Уже 14-й для нас и наших студентов. Мы объявим новый набор на курсы и магистерские программы, в том числе на легендарные программы по журналистике и публичному праву - специальностям, которым почти невозможно честно учиться сегодня в официальных университетах. С 2020 года мы прошли вместе с вами через политич

110🔥18👏17🙏5🐳1👍1🕊1

28 Aug 2026, 14:48 UTC≈2,870 views85 reactionsread 3 September 2026
Forwarded from @novaya_europe

❗️ «Факультет свободных искусств и наук» (FLAS) внесли в реестр «нежелательных» организаций. Это следует из данных на сайте Минюста. Также в список «нежелательных» внесли норвежскую организацию Pikene på Broen AS, которая занимается культурными проектами в Баренцевом регионе. Что такое FLAS. «Факультет свободных искусств и наук» (FLAS) — независимый университет в Черногории, созданный российскими преподавателями и

💔52🤯18😢65🌚2🎉1🔥1

25 Aug 2026, 07:50 UTC≈3,540 views23 reactionsread 3 September 2026
Forwarded from @ethnographicallyinformed

Invisible University for Ukraine открывает Global Invisible University и Invisible Graduate School Scholarships вместе с партнерами в Грузии, Беларуси и странах Юго-Восточной Европы. Сам проект IUFU является сертифицированной программой в партнерстве с Central European University (CEU) направленной на поддержку студентов из Украины, как в Украине, так и за ее пределами. Этой осеннью они предлагают шесть онлайн-кур

8👍7🔥5👎2🤣1

24 Jul 2026, 18:47 UTC≈3,920 views12 reactionsread 3 September 2026
Forwarded from @emigrationtothefuturePhoto

The "Smart Emigration to the Future" science program is now complete. New researchers have joined us — and we can finally tell you where it all happens: the Chto Delat Emergency Project Room Meet the names joining the line-up: Dr. Liana Savintseva — computational chemist Talk: "Computational Electrosynthesis: Understanding, Predicting, and Designing Reactions" Dr. Juliette Leroux — physicist Talk: "The Secret Li

8👍3🔥1

24 Jul 2026, 18:47 UTC≈2,750 views3 reactionsread 3 September 2026
Forwarded from @emigrationtothefuturePhoto

We’re continuing to reveal the science programme — from the human body to the edge of the universe. Next in “Smart Emigration to the Future”: Dr. Olya Vvedenskaya — MD, PhD “Fear No Fat: A Practical Guide to Lipids” Fat is often treated as the enemy. But lipids build our cell walls, carry signals, support hormonal balance and store energy. Olya, a physician and biomedical researcher, explains how fat works in the

3

24 Jul 2026, 18:47 UTC≈2,590 views4 reactionsread 3 September 2026
Forwarded from @emigrationtothefuturePhoto

Smart Emigration to the Future is the popular-science strand of Emigration to the Future, running across the same three days as the festival. The idea is simple: the future arrives faster than we can read the news about it. So we asked scientists — all of them with an emigration story — to catch us up on what’s happening at the cutting edge of their fields, in plain language. Our first two speakers — with more nam

2🔥2

24 Jul 2026, 13:33 UTC≈3,050 views77 reactionsread 3 September 2026
Forwarded from @ethnographicallyinformed

Вышел интересный отчет об образовании в изгнании из России, подготовленный коллегами Александрой Яцык и Евгением Рощиным Ссылка на отчет В этом отчёте упоминается Свободный университет, в котором я волонтёрю с 2023 года и который в России был объявлен «нежелательной организацией». В составе этой замечательной команды мы координируем работу Факультета социальных наук и гендерных исследований. В отчёте отмечают, чт

50❤‍🔥12👍7👏4🔥4

16 Jul 2026, 07:58 UTC≈3,410 views24 reactionsread 3 September 2026
Forwarded from @liberalarts_mne

❗️ День открытых дверей со студентами Завтра, 16 июля, в 18:00 CET, проведём встречу на которой студенты расскажут про жизнь в Черногории, впечатления от учебы, почему они вообще выбрали FLAS и каково это — переехать в Черногорию после школы. И всё это без администрации и преподавателей. До встречи по этой ссылке!

👍177

13 Jul 2026, 21:16 UTC≈3,720 views30 reactionsread 3 September 2026
Forwarded from @Free_Creative_WritingPhoto

Продолжается книжная серия «Свободный дебют», выходящая в издательстве ISIA Media Verlag (Лейпциг) в партнерстве с программой Free Creative Writing Свободного университета. И новая, четвертая ее книга - роман нашей магистрантки Полины Ростовцевой «Инсталлятор иллюзий». «Шаманизм, цифровые технологии, физиология мозга, айти-комьюнити, любовь, искусственный интеллект... Когда все это соединяется в остросюжетном роман

21🔥6👎2🤔1

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

@freemoscowuniversity 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
1 September 2026
Most recent edit
1 September 2026

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 7 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Феминистское Антивоенное Сопротивление
@femagainstwar · 24,853
Telegram ranks this channel #32 of 91 here — alongside 90 others — read 15 September 2026
Гуманитарные конференции
@confhum · 25,620
Telegram ranks this channel #73 of 88 here — alongside 87 others — read 14 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Свободный университет” (@freemoscowuniversity), 11,665 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/freemoscowuniversity.

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.