National news — 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 89% 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 why it has no browse page of its own yet.
Growth
33 measurements spanning 43 days, net -98. 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 21,756–21,936 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:01
21,777
-1
16 Sept 2026, 01:39
21,778
-10
14 Sept 2026, 08:16
21,788
-8
12 Sept 2026, 17:18
21,796
-11
10 Sept 2026, 19:19
21,807
-6
7 Sept 2026, 21:19
21,813
-11
4 Sept 2026, 19:56
21,824
+3
3 Sept 2026, 07:05
21,821
-3
2 Sept 2026, 01:06
21,824
-6
31 Aug 2026, 22:25
21,830
-7
30 Aug 2026, 22:37
21,837
-8
29 Aug 2026, 23:23
21,845
-5
28 Aug 2026, 22:23
21,850
-6
27 Aug 2026, 20:56
21,856
-2
26 Aug 2026, 17:57
21,858
-8
25 Aug 2026, 18:45
21,866
-10
24 Aug 2026, 18:58
21,876
-3
23 Aug 2026, 07:07
21,879
-5
21 Aug 2026, 16:27
21,884
-5
20 Aug 2026, 12:43
21,889
first reading
Engagement
136 posts held, back to 3 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 84 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.81%
avg views ÷ 21,777 subscribers
Avg views / post
829
48 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
48
of 136 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 45 of 48 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
136 (3 August 2026 – 3 September 2026)
Views total
39,797
Reactions total
545
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 16:06 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
1,558 reactions across 123 posts, in 38 distinct kinds. The most used accounts for 22.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
352
22.6%
👍
331
21.2%
🤡
255
16.4%
💊
77
4.94%
🤬
73
4.69%
❤
68
4.36%
😡
66
4.24%
🤮
63
4.04%
🤣
53
3.40%
😁
44
2.82%
🤔
24
1.54%
⚡
20
1.28%
🌚
17
1.09%
👀
11
0.706%
🖕
11
0.706%
❤🔥
10
0.642%
🙈
10
0.642%
👌
8
0.513%
👏
8
0.513%
👻
7
0.449%
18 further kinds
50
3.21%
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 127 of the 136 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 1,558 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 136 most recent posts we hold, published 3 August 2026 to 3 September 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.
Автоматический штраф за продажу просроченных товаров
Соответствующие поправки в КоАП РФ вступают в силу 1 сентября 2026 года.
Установлена новая упрощенная процедура привлечения продавцов к административной ответственности, если система маркировки автоматически выявила правонарушение.
В ГИС маркировки автоматически формируется электронное постановление об административном правонарушении.
Оно будет направлено наруш…
Производство детских игрушек – под контроль государства
Уполномоченный по правам человека Лантратова предложила создать единую государственную систему для развития отечественной индустрии игрушек:
➡️ Игрушка — это первый культурный текст, который ребенок учится читать еще до книги. Через игрушку он впервые понимает, что такое семья, забота, труд, ответственность, ценности.
По ее словам, необходимо создавать игрушк…
Законопроект о жизненном цикле автомобиля
Ассоциация «Российские автомобильные дилеры» готовит законопроект о жизненном цикле авто. В нем будет предложено включить в электронный паспорт машины обязательные данные о пробеге и ДТП.
Цель законопроекта – создать цифровую историю каждого автомобиля «от момента рождения и до его технической смерти». Авторы объясняют необходимость законопроекта:
➡️ У тех, кто приобрел ав…
МВД должны отчитываться об эффективности видеокамер на дорогах
Депутаты Госдумы от фракции "Новые люди" предложили размещать на сайте МВД сведения о результатах работы камер фиксации нарушений ПДД.
Предлагается публиковать:
1️⃣ количество зафиксированных нарушений по видам
2️⃣ данные о ДТП, погибших и раненых до и после установки камер.
Авторы инициативы считают, что принятие законопроекта:
➡️ Повысит прозрачнос…
Обеспеченность россиян автотранспортом
Две трети российских семей владеют легковым автомобилем. Такие данные представил Росстат.
В среднем в 2025 году на 100 домохозяйств приходилось 68 машин. Годом ранее показатель составлял 67.
В сельской местности автомобилизация составляет 75 машин на 100 домохозяйств, в городской – 65.
В 2025 году российский рынок легковых и легких коммерческих автомобилей впервые за 10 лет …
Изучение иностранных языков в школах сократили
Минпросвещения сократило количество часов на изучение иностранных языков в средней школе с 510 до 408 часов.
📍 Примерно два часа в неделю иностранный язык будут учить в 5–7 классах (в 8–9 классах сохранится по три часа).
При этом школы получили право официально вводить арабский в качестве второго иностранного или в формате факультативов.
🛡 Законодатель в МАХ
Росфинмониторинг получит доступ к данным о переводах через СБП
Вступили в силу поправки в Закон "О противодействии легализации доходов, полученных преступным путем, и финансированию терроризма".
Ведомство сможет, запрашивать у Национальной системы платежных карт информацию об операциях граждан по:
➖ переводам через СБП
➖ единому QR-коду
➖ картам «Мир».
Сейчас для получения данных о переводах Росфинмониторинг отпр…
Банкам дадут время подготовиться
С сегодняшнего числа в России начинается переход к единому QR-коду для оплаты товаров и услуг. Однако не все банки к этому готовы.
ЦБ решил дать кредитным учреждениям еще полгода для внедрения единого QR-кода. Об этом говорится в сообщении ЦБ.
До 1 марта 2027 года регулятор не будет принимать меры относительно кредитных организаций, которые не смогли перейти на универсальный платеж…
С 1 сентября 2026 года в торговых точках используется универсальный QR-код для платежей
Вступает в силу соответствующий закон.
Сейчас на кассе может быть несколько QR-кодов от разных банков и платежных сервисов. После изменений код будет один для всех.
Покупатель отсканирует его и сам выберет, через какой банк или сервис оплатить покупку.
Предоставлять универсальный QR-код будет НСПК — Национальная система платеж…
👎7⚡1
Showing the 12 most recent of 136 posts we hold for @zaconodatel. 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.
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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Народный Юрист @PeopleIsLawyer · 23,793 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 17 September 2026
Юридическая консультация Геннадия Ефремова @sovetiadvokata · 46,980 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 2 September 2026
ЮРИСПРУДЕНЦИЯ @yrisprudencia · 23,696 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 17 September 2026
Юристы31/Online @yurist_group31 · 35,713 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 2 September 2026
Социальная поддержка | Пособия, Льготы @posobia_lgoti · 40,996 Telegram ranks this channel #19 of 62 here — alongside 61 others — read 29 August 2026
Юридические Тонкости @sivakovairina · 109,670 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 2 September 2026
ВОЕННЫЙ КОНСУЛЬТАНТ @MilitaryConsultant · 22,329 Telegram ranks this channel #30 of 69 here — alongside 68 others — read 21 September 2026
Универсальное пособие I ЛьготОтвет @universalnoe_posobie · 41,096 Telegram ranks this channel #30 of 65 here — alongside 64 others — read 29 August 2026
ТРУДОВЫЕ СПОРЫ @sudpraktik_trud · 26,918 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 11 September 2026
Поворот на Право @povorotnapravo · 50,806 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 25 August 2026
ГАРАНТ. Новости законодательства @garantnews · 24,626 Telegram ranks this channel #38 of 92 here — alongside 91 others — read 15 September 2026
Недвижимость и закон @pravonadom1 · 29,228 Telegram ranks this channel #53 of 90 here — alongside 89 others — read 8 September 2026
Новости ВС РФ @vsrf_ru · 59,916 Telegram ranks this channel #68 of 84 here — alongside 83 others — read 23 August 2026
Дмитрий Мирончук | Закон и право @ruslaw · 25,373 Telegram ranks this channel #77 of 86 here — alongside 85 others — read 14 September 2026
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Законодатель” (@zaconodatel), 21,777 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zaconodatel.
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.