Сегодня в 12.50 обсуждаем повестку в прямом эфире #ПервыйКанал в программе #ВремяПокажет. Присоединяйтесь! Сенатор Сергей Перминов — в MAX

Channel
Perminov_SN
@tochkivtire
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
308subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001710908931 |
|---|---|
| Type | Channel |
| Username | @tochkivtire |
| Description | Телеграм - канал сенатора РФ Сергея Перминова. Текущая деятельность, ребусы современной политической жизни, личные впечатления. Мой канал в MAX — https://max.ru/Perminov_SN |
| Created | 23 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/tochkivtire |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 22:31 | 308 | no change |
| 6 Aug 2026, 18:10 | 308 | -1 |
| 6 Aug 2026, 01:52 | 309 | first reading |
Engagement
10 posts held, back to 2 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.51%
- avg views ÷ 308 subscribers
- Avg views / post
- 26.2
- 10 posts measured
- Reaction rate
- 4.76%
- reactions ÷ views · ER floor
- Posts in window
- 10
- 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. It is computed over the 5 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 10 (2 August 2026 – 6 August 2026) |
| Views total | 262 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 22:31 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
- Photos
- ≈5,060
- Videos
- ≈342
- Links
- ≈1,380
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
7 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 42.9% | |
| ❤ | 2 | 28.6% | |
| 🔥 | 2 | 28.6% |
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 5 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 7reactions 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 2 August 2026 to 6 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
И снова #ЗаметкиНаПолях. Поехали! 🚀 Печатная метаморфоза? /продолжение/ Очевидно, что набирающие популярность ИИ-технологии обнажили и ряд проблем, от преодоления которых будет зависеть будущее литературы, а вместе с ним — и характер развития человеческой личности. ИИ пока не «убивает» литературу, но уже заставляет нас искать в тексте… человека. О каких проблемах идет речь? Кризис перепроизводства С одной сторон…
Photo, posted without a caption
В #ЦИКРоссии присутствую при проведении жеребьевки по определению порядка размещения политических партий в избирательном бюллетене для голосования по федеральному округу на выборах депутатов #ГД2026. После Центризбиркомом запланировано заседание под номером 35, в повестке которого — вопрос о Порядке размещения наименований и эмблем партий в бюллетене для голосования по федеральному избирательному округу на выборах Г…
От лица #ЕдинаяРоссия участвую в #ОПРФ в подписании Соглашения о взаимодействии в ходе наблюдения за выборами #ГД2026 (трансляция — по ссылке). В выступлении отметил, что для нашей партии основная цель этой кампании — легитимный результат. Решением этой задачи нам будут помогать заниматься почти 200 000 наблюдателей, подготовкой которых мы занимаемся непрерывно. У нас создана технологическая платформа, которая позво…
👍1
Photo, posted without a caption
#ЗаметкиНаПолях. Поехали! 🚀 Печатная метаморфоза? Мировая художественная литература переживает масштабный структурный и концептуальный сдвиг. Развитие генеративного ИИ стало мощным катализатором изменений в книжной индустрии, запустив процесс глубокого переосмысления природы творчества. Как меняется художественная литература, в том числе под влиянием ИИ, и каковы ее долгосрочные перспективы в эпоху масштабной цифр…
👍1
В начале трудовой недели #Команда47 состоялось аппаратное #ВКС-совещание губернатора Александра Дрозденко с руководителями органов исполнительной власти и местного самоуправления #ЛенинградскаяОбласть. Обсуждались прохождение пожароопасного сезона в лесах региона, рейтинг #КНД в Российской Федерации, вопрос модернизации государственных музеев области, расположенных в зданиях, не являющихся объектами культурного насл…
👍1
И еще моменты уходящей недели. Сенатор Сергей Перминов — в MAX
❤2
Грядущая #неделя будет связана с текущими вопросами в #сенат, дежурством в #КомитетПоРегламенту. В партии #ЕдинаяРоссия продолжаем работу по кампании; предстоит подписание соглашение с #ОПРФ. В #ЦИКРоссии запланирована #жеребьевка по очередности партий в бюллетене выборов ГД-2026 в #ЕДГ. С Ленинградской #Команда47 будем в контакте по актуальным задачам, с репортерами #СМИ — по повестке. И не прерываем анализ эвол…
🔥2
Showing the 10 most recent of 10 posts we hold for @tochkivtire. 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 — 99,402 of 1,481,502entries 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 9 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.
@sovfedofficial · 26,7376 postsВосьмой созыв
@rugosduma · 29,4584 postsПять партий
@agendarussia · 35,0062 postsТайны Ленинградского двора ZVO
@Leningrad_guide · 10,2231 post«Минченко консалтинг» RUS
@mcrepostru · 16,9081 postПул N47
@pul47 · 1,8551 postТолмачёV наZтоящий
@realtolmachev · 1,3021 postЮрий Нимченко
@senatornimchenko · 2651 postЗлой Арцибашев
@zloydeputat · 5601 post
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Perminov_SN” (@tochkivtire), 308 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/tochkivtire.
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.