Channel
@legalelysium
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,135subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002463231095 |
|---|---|
| Type | Channel |
| Username | @legalelysium |
| Description | Академический стендап с нотками экзистенциальной грусти. Канал Никифорова Артема о праве, философии и щепотке истории. |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/legalelysium |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 09:38 | 1,135 | no change |
| 6 Aug 2026, 03:32 | 1,135 | first reading |
19 posts held, back to 3 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 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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 19 (3 July 2026 – 5 August 2026) |
| Views total | 7,587 |
| Reactions total | 127 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 09:38 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.
Lifetime counters from Telegram’s own channel header, read 6 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.
145 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 30.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 44 | 30.3% | |
| 👍 | 39 | 26.9% | |
| 🔥 | 29 | 20.0% | |
| 🤯 | 11 | 7.59% | |
| 👀 | 4 | 2.76% | |
| 😁 | 4 | 2.76% | |
| 🙏 | 4 | 2.76% | |
| ❤🔥 | 3 | 2.07% | |
| 🤡 | 3 | 2.07% | |
| 😍 | 1 | 0.69% | |
| 😱 | 1 | 0.69% | |
| 🤝 | 1 | 0.69% | |
| 🥰 | 1 | 0.69% |
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 19 of the 19 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 145reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 3 July 2026 to 5 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.
Девятый округ отказался считать разработчика лицом, получившим доступ к компьютерной системе для целей применени обеспечительных мер по CFFA, лишь потому, что его серверы давали инструкции программе, работающей в браузере пользователя. Для ответственности по CFAA требуется показать, что именно ответчик вошел в защищенную систему, а не просто создал программу, с помощью которой это сделал пользователь. При этом суд ос…
👍4
Что решил суд? Верховный суд США ранее определил access в компьютерном контексте как вхождение в компьютерную систему либо в отдельную ее часть — файл, папку или базу данных. Исходя из этого Девятый округ поставил вопрос: использовала ли Perplexity Assistant как инструмент, чтобы самой войти в систему Amazon? Ответ суда — нет. С серверами Amazon непосредственно взаимодействовал браузер пользователя. Пользователь о…
👍4
Как мы помним недавно Amazon попытался запретить использование агентного ИИ-браузера Perplexity на сайте Amazon.com посредством законодательства о несанкционированном доступе к компьютерным системам (Computer Fraud and Abuse Act, CFAA). Апелляционный суд отменил предварительный судебный запрет, поскольку Amazon не смогла показать, что именно Perplexity, а не пользователь браузера, осуществлял «доступ» к компьютерам …
👍4
Спасибо РИА Новости, что не указываете реквизиты суда! :) Дело в Пресненском районном суде найдено. Рассмотрено еще в 2025 году, а сейчас на обжаловании в апелляции. 02-4220/2025 Автор предъявил иск к индивидуальному предпринимателю о взыскании компенсации за нарушение исключительных прав на два изображения - условно названные «Мона Лиза с вином» и «Статуя Свободы с вином» (обратите внимание, что в решении Мона Ли…
🤯11❤2
Но теперь к хорошим новостям. Вышла крутая статья моих любимых авторов. Купер и Лемли с командой исследует, когда можно надёжно считать, что извлечение контента является доказательством меморизации в модели, а когда — нет. Это техническая статья, но она имеет последствия для экспертных показаний в делах об авторском праве. Swanberg, Marika and Cooper, A. Feder and Lemley, Mark A. and Liang, Percy and Hayes, Jamie …
🙏4👍3❤2
На всякий случай напомню о делах Ticketmaster Corp. v. Tickets.com, Inc., 2003 WL 21406289 (C.D. Cal. Mar. 7, 2003), Kelly v. Arriba Soft Corp., 336 F.3d 811 (9th Cir. 2003), Perfect 10, Inc. v. Amazon.com, Inc., 508 F.3d 1146 (9th Cir. 2007), и Field v. Google Inc., 412 F. Supp. 2d 1106 (D. Nev. 2006). Общая логика этих решений состоит в том, что автоматизированное копирование общедоступных материалов в процессе web…
❤1👀1
Вчера по делу GEMA v. Suno AI Мюнхенский суд вынес решение в пользу организации по коллективному управлению правами. Основная логика суда выглядит следующим образом: если модель способна воспроизводить охраняемые элементы произведений вследствие memorization, значит, ещё до генерации эти элементы в некоторой форме уже «хранятся» внутри модели. Следовательно, само размещение такой модели на серверах в Германии образуе…
❤6👍4🔥4👀3😁1
АСПИРАНТУРА НЕ ДОЛЖНА БЫТЬ ЭКЗАМЕНОМ НА ПАМЯТЬ Каждый год, когда начинается поступление в аспирантуру, я возвращаюсь к одному и тому же вопросу. Что в конечном счете мы хотим выяснить с помощью вступительного экзамена? Чтобы успешно его сдать, нужно знать огромное количество совершенно разных вопросов и быть готовым довольно глубоко ответить по каждому из них. Но знания по специальности уже проверялись много раз:…
🔥16👍9❤🔥3🤝1
⚡️ LLM + R Дорогие друзья, 10 августа я планирую мастер-класс (3 часа) по работе с LLM для гуманитариев. Опыт программирования не требуется, но нужно базовое знакомство с основами языка R. Подробное описание и запись здесь: https://rantiquity.timepad.ru/event/4108598/ Приходите, это не страшно и очень полезно 💻
На днях Высокий суд Дели подарил нам еще одну позицию по вопросу обучения ИИ на защищенном авторским правом новостном контенте. В деле ANI Media v. OpenAI суд отказал индийскому информационному агентству ANI в принятии временных обеспечительных мер. В 135-страничном определении суд предварительно пришёл к выводу, что использование новостных материалов для обучения больших языковых моделей может подпадать под исключе…
❤7👍3🔥1
“Law, Like Love“ by W.H. Auden Law, say the gardeners, is the sun, Law is the one All gardeners obey To-morrow, yesterday, to-day. Law is the wisdom of the old, The impotent grandfathers feebly scold; The grandchildren put out a treble tongue, Law is the senses of the young. Law, says the priest with a priestly look, Expounding to an unpriestly people, Law is the words in my priestly book, Law is my pulpit and my …
😍1
Судья никогда не применяет изолированно одну лишь дискреционную норму. В любом правоприменительном акте (в идеале, конечно) применяется правовая система в целом: учитываются общие принципы права, взаимосвязь правовых норм, сложившаяся судебная практика и иные элементы правопорядка, имеющие значение для разрешения конкретного дела. Поэтому реализация дискреционных полномочий возможна только через толкование всей реле…
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Showing the 12 most recent of 19 posts we hold for @legalelysium. 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 — 166,023 of 1,350,102entries 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Legal Elysium” (@legalelysium), 1,135 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/legalelysium.
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.