Telegram RegisterThe public register of Telegram

Channel

EvangeLegal

@EvAngeLegal

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,202subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002689786174
TypeChannel
Username@EvAngeLegal
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/EvAngeLegal

Growth

1,2011,2021,201.56 August 2026 — 1,201 subscribers6 August 2026 — 1,201 subscribers10 August 2026 — 1,202 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +1. 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 1,201–1,202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 11:511,202+1
6 Aug 2026, 21:451,201no change
6 Aug 2026, 21:341,201first reading

Engagement

20 posts held, back to 20 March 2026the 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 · 30 days
26.1%
avg views ÷ 1,202 subscribers
Avg views / post
314
2 posts measured
Reaction rate
5.41%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 3 August 2026
Posts held20 (20 March 20263 August 2026)
Views total628
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:45 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.

Reaction mix

304 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 39.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 541145439117144919512139.8%
custom 541122418951431819310935.9%
custom 53936028535268627954414.5%
custom 5393523430991625639309.87%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 20 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 304reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 March 2026 to 3 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.

Telegram Stars

Stars received
77
across the posts below
Posts paid on
19
of 20 we hold a reading for · 95%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EvAngeLegal. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 20 March 2026 to 3 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Aug 2026, 14:37 UTC247 views18 reactions3 Starsread 6 August 2026
Photo

ИИ атаковал другой софт 🧿 Пожалуй, это самый сюрреалистичный ИИ-кейс последнего времени 🔵 Что произошло? 16 июля Hugging Face сообщила о взломе своей инфраструктуры. Позже выяснилось, что атаку провели экспериментальные модели OpenAI (GPT-5.6 Sol и еще одна невыпущенная модель). Hugging Face – это своего рода GitHub для ИИ и одна из ключевых платформ, где разработчики размещают модели, датасеты и приложения Во врем

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30 Jul 2026, 13:30 UTC381 views16 reactions7 Starsread 6 August 2026
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Ученье - свет, а неученье - пятнадцать рабочих дней согласования договора 🧿 Друзья! За время отсутствия мы углубились не только в проекты, но и в науку. Возвращаемся к Вам с новостью о наборе на магистерскую программу ВШЭ и Нетологии «LegalTech: автоматизация юридических процессов». Руководитель программы - Евгений Журба. На программе расскажут о том, как оптимизировать и автоматизировать работу, сократить сроки со

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16 Jun 2026, 14:25 UTC671 views13 reactions6 Starsread 6 August 2026
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❤️ Всегда приятно делиться хорошим! Поэтому делимся с вами подборкой каналов на тему Legal Tech от наших коллег 🔥 ИИ & Право - актуальные новости регулирования искусственного интеллекта в мире. Новые законы, судебные кейсы, международные инициативы, статьи об ИИ-комплаенсе и управлении рисками ИИ, вопросы этики и правовые казусы - со ссылками на первоисточники и документы, которые авторы канала ищут специально для в

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8 Jun 2026, 08:40 UTC656 views15 reactions3 Starsread 6 August 2026
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💻 Data-driven подход в Legal или зачем юристам собирать данные о себе? Мы очень много говорили про Legal Tech и AI последнее время, поэтому решили вернуться к прикладной базе и порассуждать с вами на тему данных и метрик в юрдепах. Сначала о базе: data-driven подход - это когда данные и аналитика ложатся в основу принятия решений. Вместо абстрактных тейков в духе "У нас перегружены юристы" или "Процессы тянутся дол

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Signed Nikita Sokolov

15 May 2026, 14:07 UTC≈1,020 views20 reactions4 Starsread 6 August 2026
Photo

⛔️ Дождались: первые штрафы за галлюцинации в суде в РФ Мы уже писали про санкции к юристам в разных странах за использование ИИ (например тут и тут), но наконец дошла очередь и до России. АС Западно-Сибирского округа оштрафовал сторону по делу на 50 тысяч рублей. И как интересно суд к этому подошел... Мы все же не будем пересказывать всю фабулу спора и оставим в конце поста ссылку на сам акт, но что нас особо заце

custom 53935234309916256398custom 54112241895143181938custom 54114543911714491954

Signed Nikita Sokolov

5 May 2026, 10:17 UTC714 views21 reactions3 Starsread 6 August 2026
Video

Делаем QR прямо в Word'е 1️⃣В Worde вбиваем строку Displaybarcode”https://t.me/EvAngeLegal”QR\s200 2️⃣Вставляем любую ссылку между кавычками. 3️⃣Выделяем всё, нажимаем CTRL+F9, 4️⃣Нажимаем F9 (или Shift+F9) #lifehacks

custom 54112241895143181938custom 54114543911714491958custom 53936028535268627955

4 May 2026, 14:44 UTC738 views18 reactions4 Starsread 6 August 2026
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🤖3 юрдизайн-промпта для быстрой красоты и ясности в документах На прошлой неделе мы провели свой воркшоп по Soft Skills для юристов. Первую половину дня мы целиком отдали под Legal Design - дизайн-мышление, UX документов, Plain Language, визуализацию. Что интересного - раньше всё это верстали ручками: расставляли подзаголовки, переписывали пассивный залог в активный, рисовали таймлайны в PowerPoint, (...). Теперь э

custom 541145439117144919511custom 54112241895143181934custom 53936028535268627952custom 53935234309916256391

22 Apr 2026, 19:52 UTC650 views17 reactions4 Starsread 6 August 2026
Video

ВС использовал ИИ для подготовки Пленума Пересмотрен пленум 2008 года. В подготовке проекта нового постановления пленума «О подготовке гражданских дел к судебному разбирательству», была применена технология искусственного интеллекта. «При подготовке проекта постановления использовался искусственный интеллект для сбора и обработки информации» Что удалось узнать интересного: 1️⃣ИИ использовался для сбора информации

custom 53936028535268627956custom 54112241895143181936custom 54114543911714491955

22 Apr 2026, 10:43 UTC474 views11 reactions3 Starsread 6 August 2026
File

File, posted without a caption

custom 54114543911714491955custom 53935234309916256393custom 54112241895143181933

22 Apr 2026, 10:42 UTC463 views13 reactions5 Starsread 6 August 2026
Photo

🔥 Не делай свой стартап мощным - делай его с огоньком Последние пару недель наша команда много говорила про стартапы в Legal Tech: про современные тренды и про то, как и где искать инвестиции в свой продукт. И мы вспомнили про один интересный шведский стартап, который в очередной раз показал гигантам, как делать Legal Tech со вкусом. Речь идет про Legora, и если вы с ними не знакомы, то это один из самых интересных

custom 54114543911714491956custom 54112241895143181934custom 53936028535268627953

21 Apr 2026, 12:44 UTC486 views18 reactions3 Starsread 6 August 2026
Video

Автоматизируем хаос? Этапы оптимизации по И.Маску. Мы подсмотрели подход к оптимизации И.Маска. Вроде, все действия очевидные, но почти никогда никто не идет этим путем. Главная ложь цифровизации: не каждый процесс нужно улучшать. Некоторые - нужно убить. Как обычно: сделали автоматизацию, но стало еще хуже? Сроки не сократились, людей меньше не стало, ошибки те же. НО теперь то всё в красивой системе, с дашбордам

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Showing the 12 most recent of 20 posts we hold for @EvAngeLegal. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 866,707 of 1,345,403entries 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.

Forward network

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“EvangeLegal” (@EvAngeLegal), 1,202 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/EvAngeLegal.

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.