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Channel

Правовая Россия

@PravovayaRussia

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,532subscribers

-93 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-1001286809619
TypeChannel
Username@PravovayaRussia
Created2 October 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/PravovayaRussia

Growth

1,5321,6251,578.56 August 2026 — 1,625 subscribers6 August 2026 — 1,625 subscribers6 August 2026 — 1,623 subscribers9 August 2026 — 1,608 subscribers12 August 2026 — 1,543 subscribers15 August 2026 — 1,532 subscribers6 August 202615 August 2026
6 measurements spanning 9 days, net -93. 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 1,518–1,639 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:051,532-11
12 Aug 2026, 13:451,543-65
9 Aug 2026, 13:011,608-15
6 Aug 2026, 21:151,623-2
6 Aug 2026, 07:201,625no change
6 Aug 2026, 05:171,625first reading

Engagement

10 posts held, back to 8 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
47.5%
avg views ÷ 1,532 subscribers
Avg views / post
728
2 posts measured
Reaction rate
2.27%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 7 August 2026
Posts held10 (8 February 20267 August 2026)
Views total1,456
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:55 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
3m 42s
Average length
1m 14s

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.

Reaction mix

2,752 reactions across 9 posts, in 16 distinct kinds. The most used accounts for 35.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎96935.2%
🔥94934.5%
👍2368.58%
1876.80%
💯1846.69%
👏1716.21%
🤬260.945%
❤‍🔥70.254%
💊60.218%
😱40.145%
🤝40.145%
😁30.109%
👌20.073%
🙈20.073%
👀10.036%
😎10.036%

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 10 of the 10 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 6,461reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 8 February 2026 to 7 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.

Recent posts

7 Aug 2026, 16:51 UTC46 views7 reactionsread 7 August 2026
Video

В случае избрания партии «Яблоко» в Государственную думу недооппозиционные партии рискуют потерять монополию на оппозиционность и, соответственно, возможность торга: интересы общества и граждан — на мандаты и бюджетные потоки. А партия «Единая Россия» будет продолжать назначать на должности непрофильных коррупционеров. Уважаемые граждане - избиратели, мы ответственны не только за то, что делаем, но и за то, что не д

👍6🔥1

5 Aug 2026, 18:17 UTC≈1,410 views26 reactionsread 7 August 2026
Video

Бесленей Ахмед Шамилевич - кандидат в депутаты Государственной Думы Федерального Собрания Российской Федерации девятого созыва по одномандатному избирательному округу «Краснодарский край – Центральный избирательный округ № 49». На выборы мы идём с программой из одного самого важного пункта: 1. Защита конституционных прав граждан! Интересуйтесь кандидатами, приходите на выборы лично 20 сентября 2026 года. ➡️ЦИК РФ

👍203🙈2😁1

15 Jul 2026, 14:30 UTC≈1,010 views13 reactionsread 7 August 2026
Photo

📆 18.07.2026г. (Суббота) состоится «круглый стол» на тему: “Выборы 2026 - Участвуй, наблюдай, фиксируй! “ 🗳️ В рамках круглого стола планируется обсуждение следующих вопросов: 🟢 Мотивация участия граждан в голосовании: значимость реализации активного избирательного права. 🟢 Порядок получения статуса общественного наблюдателя: подача заявки, объём и пределы полномочий. 🟢 Особенности проведения трёхдневного г

👍8👏21👌1😎1

1 Jul 2026, 19:47 UTC≈1,120 views12 reactionsread 7 August 2026
Photo

📆 04.07.2026г. (Суббота) состоится «круглый стол» на тему: “Общественный транспорт: пути развития, проблемы и способы их решения. “ 🎤Спикеры встречи: Кирилл Янков - общественный деятель, специалист в области транспорта и городского развития.🚍🚦 Марина Репещук - общественный деятель, председатель общественного движения "Транспортная Инициатива".🚘❕ По итогам встречи планируется выдвижение законодательной инициативы

👍10👏1💊1

13 May 2026, 13:07 UTC≈3,340 views27 reactionsread 7 August 2026
Photo

📆17 мая 2026г. (воскресенье) состоится «круглый стол» на тему: Формы и способы защиты прав граждан.⚖️💬 🎤Спикеры встречи: Константин Киселёв - депутат гордумы г. Екатеринбурга, общественный деятель, кандидат философских 🎓наук Тема: "Культура как альтернатива и стратегия". Кирилл Янков - общественный деятель, специалист в области транспорта и городского развития.🚍🚦 Тема: "Об удобном и надежном транспорте в города

14🔥6👍5👎1👏1

21 Apr 2026, 11:19 UTC≈1,260 views18 reactionsread 7 August 2026
Photo

🗓️ 21 апреля ежегодно отмечается день местного «утраченного» самоуправления! 😔🏛️ 💡Провели «круглый стол»на тему: МЕСТНОЕ САМОУПРАВЛЕНИЕ 👥⚖️ Определили проблемы и возможные пути их решения, а также форму участия граждан в «утраченном» самоуправлении! 🙏 Благодарим всех пришедших гостей и спикеров за участие👇: 🔹 https://t.me/martusdorfteam 🔹 https://t.me/poena_et_iura_humana 🔹 https://t.me/ecojurist 🔹 https://t.me/pol

❤‍🔥7🤝43👏2💊2

15 Apr 2026, 15:17 UTC≈3,970 views19 reactionsread 7 August 2026
Photo

📆18 апреля 2026г (суббота) состоится «круглый стол» на тему: МЕСТНОЕ САМОУПРАВЛЕНИЕ 🎤Спикеры встречи: Дмитрий Трунин - адвокат природы 🌿🐬💦 Создатель сообщества «Экоюрист», Москва. Расскажет о защите водных объектов, в том числе защите Черноморского побережья. Марта Дорофеева - лидер общественного движения за защиту Томилинского лесопарка.🌲🍃Член Союза инспекторов по охране окружающей среды, общественный инспектор

👍123👏3😁1

17 Mar 2026, 14:29 UTC708 views13 reactionsread 7 August 2026
Photo

‼️ 21 марта (суббота) 2026 года в 16:00 по адресу: 📍 г.Краснодар, ул.Таманская 180, 3 этаж, актовый зал, состоится презентация новой книги Сергея Жаворонкова и Константина Яновского «Консерватизм. Невыученные уроки» с участием Сергея Жаворонкова. Сергей Жаворонков — экономист, в 2000-2023 г. старший научный сотрудник Института экономической политики им. Е. Гайдара. ❓ Почему в последние сто лет сторонники свободы на

👏9💊3😁1

16 Feb 2026, 13:50 UTC≈211,000 views2,617 reactionsread 7 August 2026
Video

«…ТЕБЯ ПОСОДЮТ, А ТЫ НЕ ВОРУЙ..» 🚨 В Краснодарском крае, как и по всей стране, проходит широкомасштабная кампания против погрязших в коррупции чиновников и судей. С конфискацией имущества, денежных средств и предприятий на сотни миллиардов рублей. 🤔 Однако!! Количество коррупционеров столь велико, а размер одной конкретной «сделки» столь высок, что должностные лица продолжают свою противозаконную деятельность с уве

👎968🔥942💯184👍175163👏153🤬26😱4

8 Feb 2026, 14:53 UTC≈189,000 views3,709 reactionsread 6 August 2026

ЛЖЕМЭР❓ СМОТРЯЩИЙ❓ САМОЗВАНЕЦ ❓ 🇷🇺История Российской Федерации знает много примеров ложных правителей и самозванцев. Однако считаем откровенной дикостью наблюдать это явление в современном мире. В городе-курорте Анапа прошло некое подобие конкурса на должность Главы администрации муниципального образования. НАПОМНИМ: 👔Глава муниципального образования - это представительная должность! Представляет интересы граждан,

Showing the 10 most recent of 10 posts we hold for @PravovayaRussia. 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

Citation-graph rank — 90,443 of 1,549,376entries 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

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 6 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.

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

“Правовая Россия” (@PravovayaRussia), 1,532 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/PravovayaRussia.

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.