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Telegram profile photo for Сергей Орлов Stand-Up

Channel

Сергей Орлов Stand-Up

@orlov_skvz

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

56,109subscribers

+2,385 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001442241236
TypeChannel
Username@orlov_skvz
Created16 May 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/orlov_skvz

Topic

Other / unclassifiable — a classification, not a measurement. 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

53,45356,17154,81256,1096 August 202612 November 2026
65 measurements spanning 98 days, net +2,385. 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 53,045–56,579 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 18:0756,109-28
10 Nov 2026, 12:5856,137-34
8 Nov 2026, 23:5556,171+15
7 Nov 2026, 18:4756,156+8
6 Nov 2026, 20:4456,148-7
5 Nov 2026, 20:0756,155+12
4 Nov 2026, 19:5856,143-9
3 Nov 2026, 21:5556,152+8
2 Nov 2026, 19:5556,144-12
1 Nov 2026, 17:1856,156-6
31 Oct 2026, 13:5556,162-1
30 Oct 2026, 15:0656,163+3
29 Oct 2026, 15:4156,160-2
28 Oct 2026, 17:1956,162-2
27 Oct 2026, 19:1056,164+2
26 Oct 2026, 18:2056,162-8
25 Oct 2026, 17:2556,170+4
24 Oct 2026, 20:5656,166+35
23 Oct 2026, 18:2956,131+39
22 Oct 2026, 20:3056,092first reading

Engagement

93 posts held, back to 12 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.6%
avg views ÷ 56,109 subscribers
Avg views / post
18,900
17 posts measured
Reaction rate
5.03%
reactions ÷ views · ER floor
Posts in window
18
of 93 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 9 November 2026
Posts held93 (12 June 2026 – 9 November 2026)
Views total320,600
Reactions total16,130
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 11:15 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 12s
Average length
48s

Measured directly from 4 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

63,915 reactions across 90 posts, in 21 distinct kinds. The most used accounts for 44.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤28,21344.1%
🔥11,30617.7%
🤣10,51016.4%
😁4,7517.43%
👍2,3183.63%
🥰1,5552.43%
💯8701.36%
🤪7811.22%
😢6721.05%
🎉5640.882%
🆒4750.743%
💔3800.595%
👏3150.493%
🗿2480.388%
👎2400.375%
😱2210.346%
🤯1960.307%
🤗1390.217%
🫡730.114%
🤔530.083%
1 further kind350.055%

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 90 of the 93 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 63,915 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 93 most recent posts we hold, published 12 June 2026 to 9 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: 5 of 18 posts held from the last 30 days (27.8%) 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).

9 Nov 2026, 04:33 UTC≈10,700 views1,373 reactionsread 12 November 2026
Photo

Вот такой модный ходил

❤674🔥390🤣183💔49👍22💯16🗿14🎉11

9 Nov 2026, 04:32 UTC≈10,700 views416 reactionsread 12 November 2026
Video message

Video message, posted without a caption

❤238🥰77🔥69👏23🤗4💯3👍1🤪1

9 Nov 2026, 04:28 UTC≈10,500 views564 reactionsread 12 November 2026
Video message

Video message, posted without a caption

🤣296❤147🔥76👍21💯6🆒6🗿4😁4

31 Oct 2026, 09:02 UTC≈16,500 views427 reactionsread 12 November 2026

Доброе утро!Новый суп Ютуб: https://youtu.be/74AjPSd8rRc ВК : https://vk.ru/wall-227278356_49227

🔥209❤151🆒33🥰17🎉5😁5👍4💔1

30 Oct 2026, 10:53 UTC≈16,900 views1,144 reactionsread 12 November 2026

Вопрос в другом: для супа эта посуда слишком мала. В моей семье суп было принято есть из ёмкостей литра на полтора. Если бы моя бабушка подала деду обеденный борщ в такой тарелке, он бы как минимум наградил её непонимающим взглядом. Но это уже в следующей серии.

😁636🔥192❤158🤣115💯22🤗9🤪7🎉2

30 Oct 2026, 10:43 UTC≈16,600 views1,756 reactionsread 12 November 2026
Photo

Сегодня я, как и всегда, боролся с навязчивым желанием взять палку и расхуячить эти маленькие чашки на завтраке. Но вместо этого решил спросить у сотрудницы отеля, есть ли у них кружки побольше. На что она ответила: «Кружек нет, но некоторые в супницы наливают». Меня буквально ударило кувалдой её находчивости по голове. Я ещё секунды две стоял и мысленно аплодировал этому гениальному решению. Какой же я всё-таки п…

❤868🔥354😁286🤣161👍29👏25💯23🤪7

29 Oct 2026, 10:50 UTCviews —

Сергей Орлов Stand-Up pinned «Недавно я решил, что хочу поближе познакомится с современным искусством и сходил в гости к художнику Юрию Ветрову https://youtu.be/Y5tg-XHMaOs?si=oVObfkG9m8Y32qOR»

29 Oct 2026, 10:25 UTC≈14,700 views264 reactionsread 12 November 2026

Недавно я решил, что хочу поближе познакомится с современным искусством и сходил в гости к художнику Юрию Ветрову https://youtu.be/Y5tg-XHMaOs?si=oVObfkG9m8Y32qOR

❤155🔥65💯28🤪8👎4🥰2🗿1🆒1

28 Oct 2026, 06:14 UTC≈16,800 views1,444 reactionsread 12 November 2026
Photo

Когда-то ты вырастешь

🤣903❤340👍101😁66💯14🔥9🆒7🤷‍♂3

28 Oct 2026, 06:08 UTC≈17,300 views1,484 reactionsread 12 November 2026

Ещё про завтраки в гостиницах. Когда написано, что завтрак до 10 утра, это вовсе не значит, что ты можешь прийти в 9:45 и позавтракать. Это значит, что в 9:45 ты можешь прийти посмотреть, что ели люди, которые встают в семь утра. Тебя встречают ошмётки омлета, одинокий кусок сыра, засохшая сосиска и ощущение, что люди тут были и вероятно были счастливы, но что-то заставило их покинуть это место И ты сидишь, жуёшь …

😁829❤343💯165💔58🤣53🫡9🔥8🤯8

27 Oct 2026, 07:17 UTC≈18,800 views2,156 reactionsread 12 November 2026
Photo

Сейчас стою в очереди за кипятком, и взрослый мужик лет 60 начинает говорить: «Девушка, принесите нормальные кружки! Из этих невозможно чай пить, как в аптеке, мензурки какие-то!» И я на автомате говорю: «Действительно, сколько можно!» — как будто все вокруг читают мой телеграм-канал. Пока нам несли кружки побольше, мы ещё секунд сорок обсуждали проклятый капитализм. И нам принесли большие кружки.

❤964😁610🤣430💯62🔥33👍25👏14🤪10

26 Oct 2026, 12:48 UTC≈18,400 views770 reactionsread 12 November 2026
Photo

Привет! Мне тут пару раз прислали это объявление. Ребята, это скам, я никого не ищу!

❤381💔168😢87😁59🤣49🗿18🔥5🥰2

Showing the 12 most recent of 93 posts we hold for @orlov_skvz. 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.

Posts edited after publishing

@orlov_skvz edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
1 November 2026
Most recent edit
1 November 2026

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 13 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.

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.

ЖЕНСКИЙ ФОРУМ
@zhenforum · 169,293
#1
ЕГОР КРИД
@egorkreed · 730,259
#2
Дима Коваль стендапчик
@etozhekoval · 154,344
#3
ВПШ
@pravdadirty · 1,391,255
#4
Дудь
@yurydud · 849,220
#5
Лиза Варвара Аранова
@lizavarvara · 43,562
#6
Стендап Клуб
@Standupclubru · 38,566
#7
UsachevRuslan
@usachevruslan · 250,801
#8
Файлы Журавля Дима Журавлёв
@files_zhuravlya · 179,484
#9
Mash
@mash · 3,140,033
#10
Алексей Квашонкин
@kvashonkinalexey · 8,197
#11
КОНТЕКСТ
@kontext_channel · 865,039
#12
🌝Пустые дни Коли Андреева🌚
@pustie_dni · 15,454
#13
Данила Кашен
@DKNASASAL · 384,633
#14
ШАСТУН
@shastoonchannel · 229,866
#15
СКЕТЧУП
@sketchup_parfenyuk · 128,738
#16
диалектический отказ
@istominakarina · 156,369
#17
Кирилл Селегей (Не брать трубку)
@selegator · 7,228
#18
Жидковские посиделки
@zhidkovskiy_talk · 576,141
#19
ПАНЧЛАЙН
@punchlinefest · 2,589
#20
Кровавая барыня
@bloodysx · 1,172,481
#21
Новости Москвы
@moscowmap · 2,620,198
#22
AllStandUp | Весь стендап
@allstandup_video · 22,633
#23
КК
@petrovtel · 541,590
#24
DatoKadze
@dato_kadze · 3,110
#25
здесь живет броен
@br1anm7ps · 1,096,289
#26
Pozov Live
@pozov · 250,477
#27
Шпизер
@shpizer · 12,104
#28
Exile
@exilemusic13 · 1,437,719
#29
Артемий Лебедев
@temalebedev · 971,105
#30
Рифмы и Панчи 🤯
@rhymestg · 1,525,862
#31
Москвач • Новости Москвы
@moscowach · 3,872,110
#32
KOSTI
@kosti · 550,418
#33
Дима Масленников
@maslennikovliga · 2,100,037
#34
Человек и загон | Сева Ловкачев
@shylobster · 12,834
#35
Boku no Chera
@bokunochera · 6,128
#36
лев ерёменко (сухарики)
@LevTigrEremenko · 5,005
#37
ПАРАДЕЕВИЧ
@paradeevich · 1,044,769
#38
[BadComedian]
@TheBadComedian · 605,041
#39
FEMALE MEMES
@femalememes · 399,175
#40
Король Бубей
@beburprime · 52,744
#41
Саша Киселёв 🐵🙈🙉
@ionkis · 1,696 (as read 24 August 2026)
#42
Clapp Snap!
@KateClappTelegram · 171,793
#43
ЭТО ЗНАК
@etoznakmag · 631,022
#44
Арсений
@arsdvatri · 169,821
#45
MEMIDZE
@MEMlDZE · 5,789
#46
не тереби дао
@dukaliti · 121,661
#47
телегурам-канал
@guramusia · 742
#48
ИМПРОВИЗАТОРЫ
@theimprovisatorsshow · 234,817
#49
Канал Руслана Халитова
@khalitovchannel · 1,186
#50
Игорь Джабраигорь
@dzhabrakadabra · 27,328
#51
ФРАМЕ ТАМЕР
@oieiei · 736,413
#52
Большой стендап фестиваль VK
@standupfestvk · 4,388
#53
Илья Яшин
@yashin_russia · 133,199
#54
Кореш
@koreshzy · 817,930
#55
Лентач
@oldlentach · 262,523
#56
Сергей Минаев
@minaevlife · 317,610
#57
Выбираю аватарки
@whichoneisbetter · 4,866
#58
димочка колыбелкин (добряк)
@dkvscinema · 11,628
#59
Шакулин
@shakulin_vasya · 16,774
#60
Varlamov News
@varlamov_news · 1,058,487
#61
Медуза — LIVE
@meduzalive · 1,116,618
#62
Осторожно, новости
@ostorozhno_novosti · 1,621,101
#63
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#64
Baza
@bazabazon · 1,556,528
#65
Артур Чапарян
@ideiposle · 23,872
#66
Kuplinov ► Play
@Kuplinov_Telegram · 905,332
#67
Двач
@dvachannel · 969,125
#68
Лентач
@lentachold · 391,507
#69
твиттота
@twitt_ota · 415,877
#70
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,341
#71
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,088,291
#72
Екатерина Шульман
@eschulmann · 299,577
#73
Пездуза
@pezduzalive · 368,647
#74
Джарахов Эльдар Казанфарович крутой рэпер офигенный тиктокер и вообще очень талантливый человек
@dzharakhov1 · 94,396
#75
КРУГИ НА ПОЛЯХ
@kruginapole · 595,313
#76
Эксплойт
@exploitex · 2,021,350
#77

Read from Telegram’s recommendation API, most recently 24 August 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.

Нидаль_в_телеге
@abunidal88 · 59,175
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 3 October 2026
CHBTKV
@chebatkov · 20,962
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 24 September 2026
Дима Коваль стендапчик
@etozhekoval · 154,344
Telegram ranks this channel #18 of 69 here — alongside 68 others — read 22 August 2026
Стендап Клуб
@Standupclubru · 38,566
Telegram ranks this channel #21 of 73 here — alongside 72 others — read 31 August 2026
HUGA Stand Up
@HUGA_STANDUP · 29,427
Telegram ranks this channel #24 of 76 here — alongside 75 others — read 8 September 2026
Илья Соболев 🦅 Клан Соболева
@sobolevtelegram · 48,309
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 26 August 2026
Иван Абрамов Stand Up
@ivan_abramov_standup · 26,236
Telegram ranks this channel #38 of 86 here — alongside 85 others — read 12 September 2026
Лиза Варвара Аранова
@lizavarvara · 43,562
Telegram ranks this channel #44 of 71 here — alongside 70 others — read 28 August 2026
МАКАР
@ilia_makar · 28,627
Telegram ranks this channel #47 of 76 here — alongside 75 others — read 8 September 2026
Ольга Малащенко
@helgametamorphos · 35,680
Telegram ranks this channel #49 of 76 here — alongside 75 others — read 3 September 2026
AllStandUp | Весь стендап
@allstandup_video · 22,633
Telegram ranks this channel #52 of 74 here — alongside 73 others — read 20 September 2026
lenakukacrew
@thelenakukacrew · 34,800
Telegram ranks this channel #57 of 74 here — alongside 73 others — read 2 September 2026

This channel appears in 12 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.

Q115619272 on Wikidata, read 8 November 2026
LabelSergey Orlov
DescriptionRussian stand-up comedian
YouTubeUCpFTWZY9jyTdcpu7zpXGA_A
Official sitehttps://orlovsergey.ru/

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.

“Сергей Орлов Stand-Up” (@orlov_skvz), 56,109 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/orlov_skvz.

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.