Telegram RegisterThe public register of Telegram
Telegram profile photo for Sokolovsky!

Channel

Sokolovsky!

@RuslanSokolovsky

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

18,959subscribers

-657 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001297427212
TypeChannel
Username@RuslanSokolovsky
Created1 November 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/RuslanSokolovsky

Topic

Personal blog — 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 72% 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 the other topics.

Growth

18,95919,61619,287.56 August 202612 November 2026
66 measurements spanning 98 days, net -657. 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 18,860–19,715 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
12 Nov 2026, 14:5718,959-5
10 Nov 2026, 09:5818,964-8
8 Nov 2026, 21:0418,972-7
7 Nov 2026, 12:4618,979-5
6 Nov 2026, 11:1018,984-16
5 Nov 2026, 08:2019,000-23
4 Nov 2026, 10:1619,023-4
3 Nov 2026, 10:0719,027+2
2 Nov 2026, 13:0519,025-10
1 Nov 2026, 14:4919,035-3
31 Oct 2026, 14:1019,038-4
30 Oct 2026, 11:2819,042-2
29 Oct 2026, 14:3019,044-5
28 Oct 2026, 14:5719,049+3
27 Oct 2026, 18:0819,046+11
26 Oct 2026, 19:2119,035-3
25 Oct 2026, 18:0519,038-8
24 Oct 2026, 17:5519,046-4
23 Oct 2026, 21:0619,050-2
22 Oct 2026, 20:4719,052first reading

Engagement

43 posts held, back to 7 June 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
30.3%
avg views ÷ 18,959 subscribers
Avg views / post
5,740
6 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
6
of 43 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 8 November 2026
Posts held43 (7 June 2026 – 8 November 2026)
Views total34,440
Reactions total790
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 04:31 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

Video runtime
40s
Average length
40s

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

6,590 reactions across 43 posts, in 37 distinct kinds. The most used accounts for 36.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁2,43036.9%
❤1,06016.1%
🤣69210.5%
👍3315.02%
🎉2924.43%
💯2894.39%
🔥2183.31%
😭2183.31%
😢2053.11%
🤡2033.08%
🤬1622.46%
🤯1402.12%
👏580.88%
🕊460.698%
🤔460.698%
💔370.561%
🤝230.349%
🖕210.319%
😱140.212%
😨120.182%
17 further kinds931.41%

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 43 of the 43 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 6,590 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 7 June 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 1 of 6 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 14:48 UTC≈2,570 views104 reactionsread 12 November 2026
Photo

Поучаствовал в сборе средств для пострадавших полицейских, которые обезвредили шутера в центре Кракова. Собрано уже больше миллиона долларов Они были с пистолетами, в то время как противник был в тяжёлом бронежилете и с AR-15, который легко пробивает полицейскую защиту @ruslansokolovsky

❤63🔥22👍13😢4🤡2

4 Nov 2026, 15:31 UTC≈4,880 views46 reactionsread 12 November 2026

Посоветуйте, какую первую машину купить, если я только что получил водительские права? @ruslansokolovsky

🤔33🔥7👀4😁2

4 Nov 2026, 11:11 UTC≈4,670 views122 reactionsread 12 November 2026
Photo

О, я сдал на водительские права наконец-то @ruslansokolovsky

❤60👍45🔥14❤‍🔥2😁1

20 Oct 2026, 07:43 UTC≈7,570 views287 reactionsread 12 November 2026
Photo

С 32-летием меня @ruslansokolovsky

🎉189❤69👍22🌭6😭1

19 Oct 2026, 04:57 UTC≈6,920 views90 reactionsread 12 November 2026
Video

На фоне того, что творится во Франции, Италии и Албании, я очень рад, что выбрал для жизни Польшу 😎 @ruslansokolovsky

😁47❤26😭10👏5👍2

14 Oct 2026, 20:20 UTC≈7,830 views141 reactionsread 12 November 2026
Photo

Национальные государства и национальная идентичность — это довольно новое изобретение, которое появилось только в XIX веке. Оно насаждалось через стандартизацию культуры и языка. Стандартизированных людей было гораздо проще затащить в армию и на заводы Ранее же Россией прекрасно управляли монархи, которые лучше знали немецкий и французский, чем русский. Строить вокруг национального конструкта свою идентичность — дел…

❤66👍49🤡15😢6👏5

9 Oct 2026, 19:21 UTC≈7,660 views204 reactionsread 12 November 2026
Photo

4:19 Военкор Рыбарь издевается над пограничником за то, что тот его пустил в Черногорию несмотря на санкции 4:20 Военкор Рыбарь под арестом, и оказалось, что пограничник пустил его в рамках операции @ruslansokolovsky

😁157🤡27🤣16❤2😇2

5 Oct 2026, 13:06 UTC≈9,220 views148 reactionsread 12 November 2026

Новости из России просто чума @ruslansokolovsky

😁90🤣39❤9😨8🤯2

30 Sept 2026, 09:40 UTC≈10,900 views172 reactionsread 12 November 2026

У Дудя отжимают квартиру и коттедж ☕️ @ruslansokolovsky

😭82🤬51😁31👍7🤡1

23 Sept 2026, 20:24 UTC≈13,400 views99 reactionsread 12 November 2026

Дудь — террорист и другие кринжовые новости @ruslansokolovsky

😁84👏11🤡3🤬1

20 Sept 2026, 09:47 UTC≈15,300 views169 reactionsread 12 November 2026

Поговаривают, чтобы выборы в России ненастоящие 🤔 @ruslansokolovsky

🤯77😁72🤔13😨4❤3

19 Sept 2026, 09:48 UTC≈14,000 views31 reactionsread 12 November 2026
Photo

Новый ролик: https://youtu.be/sbm3-gvDnkg @ruslansokolovsky

❤18👍6🔥4😁2🤡1

Showing the 12 most recent of 43 posts we hold for @RuslanSokolovsky. 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 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.

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.

Sokolovsky inChain / биткоин и криптовалюты
@sokolovskyinchain · 19,685
#1
КриптоКодер
@CryptanCoder · 6,704
#2
На волне с Mr.Ateo
@ozero · 26,660
#3
BitJournal
@bitjournalmedia · 1,208
#4
Ateo Breaking
@ateobreaking · 742,328
#5
НЕВЗОРОВ
@nevzorovtv · 1,000,929
#6
Вестник Шевцова
@jolynews · 206,431
#7
Ateo
@AteoGo · 159,693
#8
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,332
#9
Сталингулаг
@stalin_gulag · 297,712
#10
POVEL DUREV / TON memecoin
@poveldurev · 263,721
#11
Быть Или
@ToBeOr_Official · 304,374
#12
Varlamov News
@varlamov_news · 1,058,487
#13
POVEL DUREV RU / TON мемкоин
@rupoveldurev · 9,229
#14
Медуза — LIVE
@meduzalive · 1,116,618
#15
NEXTA Live
@nexta_live · 766,224
#16
Дудь
@yurydud · 849,220
#17
Ньюсач/Двач
@ru2ch · 710,370
#18
Shitcoin RU | TON memecoin
@Shitcoinrun · 29,293
#19
Эксплойт
@exploitex · 2,021,350
#20
НМШ
@nmshhub · 669,331
#21
Илья Яшин
@yashin_russia · 133,199
#22
Соболев LIVE
@sobolevtam · 120,235
#23
Лентач
@lentachold · 391,507
#24
🇷🇺 The Club 100 - Криптовалютый окоп, нейро полигон, геймерская усадьба, технический момент
@crypto_okop · 143,534
#25
Бэкдор
@whackdoor · 1,538,229
#26
Александр Штефанов
@alexandrshtefanov · 205,137
#27
Накипело. Майкл Наки
@Nackepelo · 215,147
#28
Signal Prometheus 🚀
@b1tsignal · 1,370
#29
Код.ру
@d_code · 405,458
#30
Gram RUS
@toncoin_rus · 508,907
#31
Михаил Светов (Комитет по Этике)
@mrlibertarian · 29,849
#32
Пездуза
@pezduzalive · 368,647
#33
Лентач
@oldlentach · 262,523
#34
Pavel Durov
@durov · 10,056,863
#35
Rozetked
@rozetked · 646,921
#36
Cryptostolica КриптоСтолица
@cryptostolica · 2,828
#37
ASTRA
@astrapress · 350,302
#38
NN
@naebnet · 2,177,794
#39
Дождь | Новости
@tvrain · 468,077
#40
рост будет бесконечный
@tonbase · 1,390,955
#41
Соловьиный Помёт
@slvn_pomet · 282,710
#42
ЧТД
@chtddd · 454,999
#43
Investment kingyru 💎
@investkingyru · 1,570,393
#44
WONNIE ON TON [RU]
@wonnieton · 6,912
#45
DeCenter — блокчейн, биткоин, инвестиции
@DeCenter · 1,640,924
#46
Михаил Ходорковский
@khodorkovski · 150,411
#47
Печень Ховы
@pechova · 103,831
#48
BBC News | Русская служба
@bbcrussian · 388,911
#49
FTP
@ru_FTP · 86,138
#50
Максим Кац
@maximkatz · 167,495
#51
Дмитрий Гордон
@dmytrogordon_official · 288,565
#52
[netstalkers]
@netstalkers · 65,349
#53
Gulag
@gulagru · 160,666
#54
Arestovich / Official
@O_Arestovich_official · 236,057
#55
UsachevRuslan
@usachevruslan · 250,801
#56
Можем объяснить
@mozhemobyasnit · 460,531
#57
Рестарт
@remedia · 666,164
#58
INVEST ZONE | Khairullin Ruslan
@invest_zonaa · 848,307
#59
Евгений Понасенков
@evgenii_ponasenkov · 78,679
#60
TON POINTER
@TONPOINTER · 118,757
#61
Банки, деньги, два офшора
@bankrollo · 462,111
#62
Booba Coin | RU
@boobacoinru · 2,390
#63
Scammers
@scamsociety · 359,618
#64
LIBERTY PEOPLE
@libertypeople · 96,931
#65
sndk
@sndkgram · 357,717
#66
Trade Rehab
@wehavezerobalance · 1,184
#67
Prometheus 🔥 Биткоин и криптовалюты
@prometheus · 38,765
#68
Алексей Шевцов
@jolybells · 357,371
#69
Двач
@dvachannel · 969,125
#70
DOGS Community
@dogs · 6,423,087
#71
Игорь Линк
@IgorLinkChannel · 72,245
#72
Notcoin Community
@notcoin · 7,808,013
#73
Новости Walt (ранее Кошелёк)
@walt_news_cis · 1,084,619
#74
Пекарня
@pekagame · 1,117,922
#75
Baza
@bazabazon · 1,557,057
#76
INSIDER UA | Україна | Новини
@insiderukr · 2,146,024
#77
Ватное болото
@vatnoeboloto · 378,055
#78
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,088,291
#79
"Maddyson" развлекательный телеграм канал!
@maddysontg · 207,803
#80
VG/Двач
@ru2chvg · 183,087
#81
КАШИН
@kashinguru · 75,059
#82
4ch
@why4ch · 1,021,012
#83
Честный Путин (Пал Лаич)
@Putin_V_V · 21,068
#84
Gambler's BarberShop 🎱
@gamblebarber · 4,986
#85
cultofnot
@cultofnot · 977,423
#86
Екатерина Шульман
@eschulmann · 299,577
#87
Объективные и неподкупные мемы
@igorlinkmemes · 15,683
#88
Сирена
@news_sirena · 123,222
#89
CryptoDays 2.0 🐊
@cryptodays · 29,602
#90

Read from Telegram’s recommendation API, most recently 3 October 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.

Sokolovsky inChain / биткоин и криптовалюты
@sokolovskyinchain · 19,685
Telegram ranks this channel #5 of 81 here — alongside 80 others — read 28 September 2026
На волне с Mr.Ateo
@ozero · 26,660
Telegram ranks this channel #18 of 91 here — alongside 90 others — read 17 September 2026
Shitcoin RU | TON memecoin
@Shitcoinrun · 29,293
Telegram ranks this channel #22 of 78 here — alongside 77 others — read 6 September 2026
Prometheus 🔥 Биткоин и криптовалюты
@prometheus · 38,765
Telegram ranks this channel #61 of 91 here — alongside 90 others — read 30 August 2026
POVEL DUREV / TON memecoin
@poveldurev · 263,721
Telegram ranks this channel #75 of 87 here — alongside 86 others — read 11 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q29894465 on Wikidata, read 8 November 2026
LabelRuslan Sokolovsky
YouTubeUCyGPa4_EYA1OiBNjf6IeF6A

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Sokolovsky!” (@RuslanSokolovsky), 18,959 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/RuslanSokolovsky.

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.