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Channel
@mir_uslu
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
343subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001650318109 |
|---|---|
| Type | Channel |
| Username | @mir_uslu |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/mir_uslu |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 16:28 | 343 | -2 |
| 8 Aug 2026, 06:50 | 345 | no change |
| 7 Aug 2026, 22:08 | 345 | first reading |
14 posts held, back to 11 May 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 10 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
185 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 42.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 78 | 42.2% | |
| 🔥 | 44 | 23.8% | |
| 👏 | 24 | 13.0% | |
| 🎉 | 14 | 7.57% | |
| 🤩 | 11 | 5.95% | |
| 🥰 | 9 | 4.86% | |
| 🏆 | 4 | 2.16% | |
| 🤯 | 1 | 0.541% |
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 13 of the 14 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 185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 11 May 2026 to 10 July 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.
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В эти июльские дни в жизни нашего научного сообщества произошло важное и долгожданное событие. В УрГЮУ имени В.Ф. Яковлева состоялась торжественная церемония вручения дипломов, и пять участниц команды МИР официально попрощались со студенческой скамьей.🎓✨ Этот выпуск стал для нас по-настоящему особенным: Евгения Зинченко, Дания Багаутдинова, Ольга Мещанинова, Юлия Зорина и Ярослава Никифорова успешно завершили свое о…
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🎉 С Днем молодежи! Молодость — это не возраст. Это время создавать новое, искать ответы на волнующие вопросы и не бояться менять мир вокруг себя. Наука начинается не с лабораторий и не с учебников. Она начинается с неравнодушных людей. С тех, кто готов изучать и погружаться глубже, отстаивать свою позицию, сомневаться, исследовать. Мы убеждены, что именно такие люди создают будущее. Не потому, что знают ответы на…
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В нашем дружном научном кругу произошло знаковое событие — одной семьей стало больше! Мы хотим от всей души поздравить наших замечательных выпускников — Никиту Уфимцева и Елизавету Вершинину — с заключением брака! 🥂 Для нас это событие вдвойне волнительно. Мы с теплом храним память о каждом участнике команды, и особенно дорожим тем, что наши выпускники, даже получив дипломы, остаются с нами. Вы наша гордость и акти…
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🔹5 мая 2026 года в рамках празднования юбилея Научного студенческого сообщества «Мысли и речи» (МИР) Кафедры гражданского права УрГЮУ имени В.Ф. Яковлева состоялось поистине историческое событие - первый Модельный судебный процесс имени А.М. Винавера. ▫️Инициатива проведения таких серьезных и зрелищных процессов родилась у наших аспирантов - тех, кто днем и ночью живет цивилистикой и хочет зажечь ею других. И у них …
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Первый Модельный судебный процесс имени А.М. Винавера ⚖️ 🔹5 мая 2026 года состоялось особое для Научного студенческого сообщества «Мысли и речи» (МИР) Кафедры гражданского права УрГЮУ имени В.Ф. Яковлева событие - первый Модельный судебный процесс имени А.М. Винавера. На суд было вынесено дело, близкое каждому студенту: суду предстояло решить вопрос о запрете Студенческой Лени в формате полноценного арбитражного про…
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МИР | НСС «Мысли и речи» кафедры гражданского права УрГЮУ pinned a photo
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Собрали самые яркие моменты со Дня рождения в один рилс🤩 Приятного просмотра! 🫂
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🔥МИР перешагнул отметку в 5 лет – делимся фотографиями с юбилея! В альбоме – кадры Юридической игры «Что? Где? Когда?», Модельного судебного процесса имени А.М. Винавера и даже презентация нашей Настольной игры по гражданскому праву «Российская цивилистика в лицах» и другие яркие моменты праздника! Приятного просмотра 🫶🏻
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Showing the 12 most recent of 14 posts we hold for @mir_uslu. 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.
Citation-graph rank — 877,616 of 1,622,561entries 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.
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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“МИР | НСС «Мысли и речи» кафедры гражданского права УрГЮУ” (@mir_uslu), 343 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/mir_uslu.
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.