Ждем и тебя в канале Плехановского университета

Channel
Plekhanov Universe
@PlekhanovUniverse
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry
25,680subscribers
+642 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 | -1001179166406 |
|---|---|
| Type | Channel |
| Username | @PlekhanovUniverse |
| Description | Официальный телеграм-канал РЭУ им. Г.В. Плеханова ➡️Молодежный медиацентр Плеханов Медиа: @mediareu ➡️Вконтакте: vk.com/reu ➡️RUTUBE: https://rutube.ru/channel/23762147/ Регистрация в перечне РКН: https://gosuslugi.ru/snet/67a47da11b17b35b6c0a3a38 |
| Created | 8 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/PlekhanovUniverse |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 14:28 | 25,680 | -9 |
| 3 Nov 2026, 17:47 | 25,689 | -17 |
| 2 Nov 2026, 15:57 | 25,706 | -16 |
| 1 Nov 2026, 14:41 | 25,722 | -16 |
| 30 Oct 2026, 12:56 | 25,738 | +4 |
| 29 Oct 2026, 15:45 | 25,734 | +2 |
| 28 Oct 2026, 12:54 | 25,732 | -8 |
| 26 Oct 2026, 10:56 | 25,740 | -4 |
| 25 Oct 2026, 10:06 | 25,744 | -3 |
| 24 Oct 2026, 08:34 | 25,747 | -1 |
| 23 Oct 2026, 05:08 | 25,748 | -7 |
| 22 Oct 2026, 04:20 | 25,755 | -4 |
| 20 Oct 2026, 23:51 | 25,759 | -8 |
| 19 Oct 2026, 18:59 | 25,767 | -6 |
| 18 Oct 2026, 20:01 | 25,773 | -7 |
| 17 Oct 2026, 22:39 | 25,780 | +6 |
| 16 Oct 2026, 21:08 | 25,774 | -8 |
| 15 Oct 2026, 17:59 | 25,782 | -6 |
| 14 Oct 2026, 16:16 | 25,788 | +8 |
| 13 Oct 2026, 04:47 | 25,780 | first reading |
Engagement
186 posts held, back to 4 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 135 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.2%
- avg views ÷ 25,680 subscribers
- Avg views / post
- 3,140
- 57 posts measured
- Reaction rate
- 1.37%
- reactions ÷ views · ER floor
- Posts in window
- 57
- of 186 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 55 of 57 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 186 (4 August 2026 – 7 November 2026) |
| Views total | 179,079 |
| Reactions total | 2,451 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 08:28 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
- ≈34,300
- Videos
- ≈1,960
- Links
- ≈8,220
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 12m 32s
- Average length
- 58s
Measured directly from 13 videos 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
6,694 reactions across 183 posts, in 21 distinct kinds. The most used accounts for 56.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,767 | 56.3% | |
| 🔥 | 1,129 | 16.9% | |
| 👏 | 427 | 6.38% | |
| ❤🔥 | 417 | 6.23% | |
| 🤓 | 364 | 5.44% | |
| 👍 | 120 | 1.79% | |
| 🥰 | 106 | 1.58% | |
| 😍 | 83 | 1.24% | |
| ☃ | 71 | 1.06% | |
| ⚡ | 52 | 0.777% | |
| 👨💻 | 34 | 0.508% | |
| 🎉 | 32 | 0.478% | |
| 🙏 | 31 | 0.463% | |
| 💯 | 23 | 0.344% | |
| ✍ | 14 | 0.209% | |
| 🤩 | 10 | 0.149% | |
| 🎄 | 5 | 0.075% | |
| 🏆 | 3 | 0.045% | |
| 😎 | 3 | 0.045% | |
| 🤗 | 2 | 0.03% | |
| 1 further kind | 1 | 0.015% |
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 183 of the 186 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 6,694 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 186 most recent posts we hold, published 4 August 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 7 of 57 posts held from the last 30 days (12.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Не пропусти эстетику
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Showing the 12 most recent of 186 posts we hold for @PlekhanovUniverse. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
@minobrnaukiofficial · 59,3255 postsОльга Петрова
@OlgaPetrovaNN · 6,3923 postsИнститут «Первая Академия медиа» РЭУ имени Г.В. Плеханова
@academymedia · 2,4632 postsПлехановский университет
@prue_rus · 1,3532 postsTF REUlife🎓
@TF_REUlife · 1,6551 postНОС: наука, образование, студенчество
@nos_mediaa · 15,0801 postСбер
@sberbank · 728,9401 post
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 24 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.
@minobrnaukiofficial · 59,3255 postsEdStats — аналитика образования, новости и тренды
@edstats · 2,1572 postsПГУ | Официально
@pnzgu · 7,8342 postsРекторат
@rectorate_otr · 5682 postsРНФ
@RSF_news · 14,6532 postsКорСовет
@youngsciencerussia · 1,3572 postsАсташкин N
@astashkinnik · 581 postОбразование и наука в Бурятии
@baikaledu · 211 postДептранс Москвы
@DtRoad · 142,2661 postОбразовательный список | Научный каталог
@edu_list · 2581 postPablo Ivalde
@ivalde_pablo · 4451 postРоссийское казачество
@kazachestvo_ru · 30,8891 postРейтинг вузов России
@M_Rate · 3,2361 postМИД России 🇷🇺
@MID_Russia · 139,4211 postСКФУ
@ncfulife · 10,2811 postНИУ МГСУ - Главный строительный
@niumgsuofficial · 15,4811 postВылечим Образование с Мариной Свитской
@ObrazovanieDetei · 2,3741 postРостех
@rostecru · 43,6951 postУниверситеты РФ
@russiauniversities · 13,8771 postTyurina
@tyurinanv · 731 postУФК по Калининградской области
@ufk35_kaliningrad · 891 postУФК по Республике Марий Эл
@ufk_mariy_el · 2771 postУФК по Удмуртской Республике
@ufk_udmurtia · 2271 post[В]Екб
@v_ekb · 611 post
Names
Channels on the register whose handles appear in this channel's posts.
@prue_rus · 1,3534 postsБизнес-инкубатор РЭУ
@bireu2 · 4,2142 postsВолонтерский центр РЭУ
@Volunteer_Reu · 682 postsСтартап-экосистема «Победа»
@ecosystem_startup · 1921 postВолонтеры Плехановки
@myvmesteREU · 9391 postНОС: наука, образование, студенчество
@nos_mediaa · 15,0801 postREU Data Science Club
@reu_data_science_club · 9511 postШМОТКИ
@shmotki_app · 3841 postЦентр «ШУМ»
@shum_centre · 11,6761 post
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Plekhanov Russian Economic University |
|---|---|
| Description | university in Russia |
| X / Twitter | @PRUE_Official |
| YouTube | UCpDP6LrVNC4vqGIp5H_F9pQ |
| Official site | https://www.rea.ru/ |
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Plekhanov Universe” (@PlekhanovUniverse), 25,680 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/PlekhanovUniverse.
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.