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Channel

Артем Сенаторов печатает...

@senatorov_art

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

31,418subscribers

-917 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001796805317
TypeChannel
Username@senatorov_art
DescriptionТелеграм-канал Senatorov-LAB: https://t.me/senatorovlab Для связи @taraskinaelena Номер РКН: 5177435856
CreatedBetween 1 January 2022 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/senatorov_art

Topic

Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@senatorov_art/2751 · this entry30 Jul 2026, 14:37 UTC@artemsenatorov/84330 Jul 2026, 14:46 UTC1.009 minutes
@senatorov_art/2753 · this entry2 Aug 2026, 13:06 UTC@artemsenatorov/8452 Aug 2026, 13:08 UTC1.002 minutes
@senatorov_art/2756 · this entry5 Aug 2026, 15:04 UTC@artemsenatorov/8485 Aug 2026, 15:06 UTC1.002 minutes
@senatorov_art/2759 · this entry7 Aug 2026, 12:22 UTC@artemsenatorov/8517 Aug 2026, 12:28 UTC1.006 minutes
@senatorov_art/2769 · this entry7 Aug 2026, 15:02 UTC@artemsenatorov/8617 Aug 2026, 15:18 UTC1.0017 minutes
@senatorov_art/2770 · this entry7 Aug 2026, 17:16 UTC@artemsenatorov/8627 Aug 2026, 17:18 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@artemsenatorov6 (6/6 hand-verifiable sample passed)1.004 minutesthis entry (60)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 7 comparable posts for this entry, running 24 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @senatorov_art — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

31,41832,33531,876.57 August 2026 — 32,335 subscribers7 August 2026 — 32,335 subscribers8 August 2026 — 32,319 subscribers9 August 2026 — 32,318 subscribers10 August 2026 — 32,309 subscribers12 August 2026 — 32,312 subscribers13 August 2026 — 32,281 subscribers14 August 2026 — 32,253 subscribers15 August 2026 — 32,224 subscribers17 August 2026 — 32,193 subscribers18 August 2026 — 32,144 subscribers19 August 2026 — 32,114 subscribers20 August 2026 — 32,088 subscribers21 August 2026 — 32,074 subscribers22 August 2026 — 32,056 subscribers24 August 2026 — 32,016 subscribers25 August 2026 — 32,002 subscribers26 August 2026 — 31,988 subscribers27 August 2026 — 31,980 subscribers28 August 2026 — 31,966 subscribers29 August 2026 — 31,935 subscribers30 August 2026 — 31,906 subscribers31 August 2026 — 31,878 subscribers1 September 2026 — 31,862 subscribers2 September 2026 — 31,812 subscribers3 September 2026 — 31,767 subscribers5 September 2026 — 31,729 subscribers8 September 2026 — 31,655 subscribers11 September 2026 — 31,601 subscribers13 September 2026 — 31,560 subscribers14 September 2026 — 31,522 subscribers17 September 2026 — 31,470 subscribers19 September 2026 — 31,418 subscribers7 August 202619 September 2026
33 measurements spanning 43 days, net -917. 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 31,280–32,473 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 10:4231,418-52
17 Sept 2026, 00:3831,470-52
14 Sept 2026, 22:5831,522-38
13 Sept 2026, 09:5931,560-41
11 Sept 2026, 12:1931,601-54
8 Sept 2026, 17:2131,655-74
5 Sept 2026, 12:1731,729-38
3 Sept 2026, 17:4131,767-45
2 Sept 2026, 07:5731,812-50
1 Sept 2026, 06:4631,862-16
31 Aug 2026, 06:5531,878-28
30 Aug 2026, 08:4431,906-29
29 Aug 2026, 07:3331,935-31
28 Aug 2026, 07:5331,966-14
27 Aug 2026, 10:3731,980-8
26 Aug 2026, 08:3331,988-14
25 Aug 2026, 09:4232,002-14
24 Aug 2026, 08:4332,016-40
22 Aug 2026, 14:3332,056-18
21 Aug 2026, 06:5432,074first reading

Engagement

82 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.59%
avg views ÷ 31,418 subscribers
Avg views / post
813
38 posts measured
Reaction rate
0.387%
reactions ÷ views · ER floor
Posts in window
38
of 82 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 34 of 38 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 September 2026
Posts held82 (24 July 202623 September 2026)
Views total30,908
Reactions total110
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 20:34 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
1,320
Videos
43
Links
361

Lifetime counters from Telegram’s own channel header, read 23 September 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.

Video runtime
13s
Average length
13s

Measured directly from 1 video 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

215 reactions across 65 posts, in 8 distinct kinds. The most used accounts for 45.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9845.6%
6831.6%
👍219.77%
👏115.12%
❤‍🔥104.65%
41.86%
👀20.93%
🤔10.465%

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 67 of the 82 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 215 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 82 most recent posts we hold, published 24 July 2026 to 23 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.

Recent posts

23 Sept 2026, 17:13 UTC227 viewsread 23 September 2026
Forwarded from @senatorovlab

ОТВЕЧАЮ НА ВАШИ ВОПРОСЫ: друзья, деньги, Дубай и другое 📺 Смотреть ЮТУБ 📺 Смотреть ВК

22 Sept 2026, 16:20 UTC459 views1 reactionsread 23 September 2026
Forwarded from @senatorovlab

Почему мы в жизни соглашаемся на малое? 📺 Смотреть ЮТУБ 📺 Смотреть ВК

🔥1

22 Sept 2026, 15:14 UTC481 views1 reactionsread 23 September 2026
Forwarded from @senatorovlabPhoto

💯Каких специалистов нейросети точно не заменят 👉🏻Листайте слайды и сверяйтесь: ИИ для вас подспорье или конкурент? А если хотите подробнее разобраться с нейросетями и понять: ⁃ как ими управлять и создавать качественные запросы; ⁃ как умножить свой труд и стать эффективнее с ИИ; ⁃ как можно использовать нейросети в работе, быту, контенте, творчестве и просто в жизни, в Белой Комнате посвятим этому весь октябрь.

🔥1

21 Sept 2026, 17:39 UTC570 viewsread 23 September 2026
Forwarded from @senatorovlab

ХВАТИТ думать, что с тобой что-то не так 📺 Смотреть ЮТУБ 📺 Смотреть ВК

20 Sept 2026, 15:58 UTC740 views4 reactionsread 23 September 2026
Forwarded from @senatorovlab

💥 Что происходит за кулисами дорогих детских праздников? В новом подкасте разобрали эту тему с Владой Дашкиевой. 16 лет она руководит компанией «Море Шоу», которая устраивает праздники для российских и мировых звёзд. Также обсудили: — Как без денег и опыта построить бизнес со звёздными клиентами. — Что делать, если конкуренты копируют идеи. — Можно ли вытащить компанию, которая резко потеряла почти половину дохо

🔥4

19 Sept 2026, 16:58 UTC809 views5 reactionsread 23 September 2026
Forwarded from @senatorovlab

Не вестись на провокации: тонкое искусство пофигизма 📺 Смотреть ЮТУБ 📺 Смотреть ВК

👏3❤‍🔥1🔥1

18 Sept 2026, 18:23 UTC890 views6 reactionsread 23 September 2026
Forwarded from @senatorovlab

Почему к большим деньгам НИКТО НЕ ГОТОВ (на самом-то деле) 📺 Смотреть ЮТУБ 📺 Смотреть ВК

3👏3

17 Sept 2026, 17:51 UTC940 views2 reactionsread 23 September 2026
Forwarded from @senatorovlab

Как люди НЕЗАМЕТНО предают свои мечты и соглашаются на малое 📺 Смотреть ЮТУБ 📺 Смотреть ВК

2

16 Sept 2026, 16:06 UTC≈1,010 views9 reactionsread 23 September 2026
Forwarded from @senatorovlab

РЕАЛЬНЫЙ СЦЕНАРИЙ от создателя Claude: мы САМИ отдадим власть ИИ 📺 Смотреть ЮТУБ 📺 Смотреть ВК

❤‍🔥53👏1

15 Sept 2026, 17:22 UTC938 views4 reactionsread 23 September 2026
Forwarded from @senatorovlab

Самый ПРОСТОЙ способ нравиться людям 📺 Смотреть ЮТУБ 📺 Смотреть ВК

4

15 Sept 2026, 16:16 UTC893 views5 reactionsread 23 September 2026
Forwarded from @senatorovlabPhoto

Боитесь конфликтных ситуаций? В карусели простой совет, который поможет научиться выдерживать напряжение в сложных диалогах👉🏻 Еще больше советов по коммуникациям и влиянию на людей в разговорах смотрите в этой подборке по фреймам.

👍5

14 Sept 2026, 16:51 UTC909 views7 reactionsread 22 September 2026
Forwarded from @senatorovlab

Как переиграть 99% людей (главный принцип) 📺 Смотреть ЮТУБ 📺 Смотреть ВК

5🔥2

Showing the 12 most recent of 82 posts we hold for @senatorov_art. 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.

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.

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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#71
Евгения Гормаш про бизнес и продажи
@evgeniagormash1 · 5,463
#72
Телеграм Петроченкова
@petrochenkow · 47,331
#73
Усатый Маркетолог про инфобизнес
@timeartem · 8,266
#74
Катерина Ленгольд
@Katerinalengold · 71,428
#75
кабинет маркетолога
@youtube_marina · 49,816
#76
Мари про запуски
@mari_zapuski · 75,903
#77
Света Афанасьева
@engageforsales · 28,984
#78
НеСлавик про соцсети.
@YaNeslavik · 11,825
#79
Мемы без надписей | видео шаблоны для рилс
@membeztexta · 195,283
#80
ПАВЕЛ КЕЙК
@cakepavel · 39,677
#81
Наташа маркетинг Париж 🥐
@panfilcom · 19,355
#82
Журнал Nowa
@nowacreates · 12,471
#83

Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Арина Алекс. REELS и продажи
@ArinaAlexx · 115,847
Telegram ranks this channel #1 of 75 here — alongside 74 others — read 16 August 2026
Продюсер Курчанов
@kurchanov_prod · 29,177
Telegram ranks this channel #2 of 83 here — alongside 82 others — read 8 September 2026
Артем Кей
@artemmkey · 31,390
Telegram ranks this channel #2 of 84 here — alongside 83 others — read 6 September 2026
ChatPlace
@chatplaceio · 53,062
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 25 August 2026
Про продажи | Федорова Ксения
@fedorova_o_pro · 33,839
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 5 September 2026
Кирилл Артамонов
@artamonov_proreels · 25,178
Telegram ranks this channel #4 of 80 here — alongside 79 others — read 14 September 2026
Радислав Гандапас
@radislavgandapascom · 53,031
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 24 August 2026
Маркетинг. Александра Гуреева
@alexandra_gureeva · 21,578
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 23 September 2026
Седа Каспарова
@Seda_Kasparova_news · 257,316
Telegram ranks this channel #7 of 93 here — alongside 92 others — read 10 August 2026
Егор Пыриков
@egorpyrikov · 43,688
Telegram ranks this channel #8 of 80 here — alongside 79 others — read 28 August 2026
Кирилл Потапов l REELS ACADEMY
@ReelsAcademyPotapovfx · 94,090
Telegram ranks this channel #8 of 85 here — alongside 84 others — read 25 August 2026
Семейка ботов
@FamilyBots · 709,671
Telegram ranks this channel #9 of 92 here — alongside 91 others — read 8 August 2026
Игорь Манн
@mann_igor · 29,383
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 8 September 2026
ГОТОВЫЕ СЦЕНАРИИ СТОРИС | REELS | ГОТОВЫЕ ПРОМТЫ
@scenariistoris · 22,874
Telegram ranks this channel #12 of 78 here — alongside 77 others — read 19 September 2026
Инструменты маркетолога
@profit_maker · 45,843
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 27 August 2026
Михаил Христосенко
@m_hristosenko · 25,445
Telegram ranks this channel #14 of 86 here — alongside 85 others — read 14 September 2026
Маргулан Сейсембай
@MargulanSeissembai · 209,925
Telegram ranks this channel #14 of 96 here — alongside 95 others — read 11 August 2026
Мемперия Катерины Побоженко | Шаблоны и оригиналы | Мемы в REELS
@formemas · 199,740
Telegram ranks this channel #15 of 89 here — alongside 88 others — read 11 August 2026
Павел Гительман
@potok_gitelman · 38,135
Telegram ranks this channel #16 of 91 here — alongside 90 others — read 1 September 2026
Михаил Гребенюк
@grebenukm · 258,153
Telegram ranks this channel #16 of 95 here — alongside 94 others — read 10 August 2026
Панкратова покоряет США
@pankratova916 · 22,632
Telegram ranks this channel #17 of 86 here — alongside 85 others — read 20 September 2026
Юра Мурадян
@ymuradyan · 39,275
Telegram ranks this channel #17 of 89 here — alongside 88 others — read 30 August 2026
Пётр Осипов | записки о развитии
@petrosipovprivate · 49,068
Telegram ranks this channel #17 of 84 here — alongside 83 others — read 26 August 2026
матерь бложья (и кошачья)
@mitroshinablogging · 159,673
Telegram ranks this channel #17 of 85 here — alongside 84 others — read 18 August 2026

This channel appears in 119 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Артем Сенаторов печатает...” (@senatorov_art), 31,418 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/senatorov_art.

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.