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Telegram profile photo for Московский цирк Никулина

Channel

Московский цирк Никулина

@nikulin_circus

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cross-platform identity · Cite this entry

14,222subscribers

+54 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-1001504490941
TypeChannel
Username@nikulin_circus
CreatedBetween 1 May 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/nikulin_circus

Growth

14,09314,54614,319.56 August 2026 — 14,168 subscribers6 August 2026 — 14,177 subscribers7 August 2026 — 14,269 subscribers8 August 2026 — 14,204 subscribers9 August 2026 — 14,152 subscribers10 August 2026 — 14,131 subscribers11 August 2026 — 14,113 subscribers12 August 2026 — 14,093 subscribers14 August 2026 — 14,353 subscribers15 August 2026 — 14,340 subscribers16 August 2026 — 14,303 subscribers17 August 2026 — 14,284 subscribers18 August 2026 — 14,265 subscribers19 August 2026 — 14,247 subscribers20 August 2026 — 14,236 subscribers21 August 2026 — 14,218 subscribers23 August 2026 — 14,179 subscribers24 August 2026 — 14,262 subscribers26 August 2026 — 14,320 subscribers27 August 2026 — 14,546 subscribers28 August 2026 — 14,501 subscribers29 August 2026 — 14,396 subscribers30 August 2026 — 14,366 subscribers31 August 2026 — 14,339 subscribers1 September 2026 — 14,331 subscribers2 September 2026 — 14,328 subscribers3 September 2026 — 14,222 subscribers14,2226 August 20263 September 2026
27 measurements spanning 28 days, net +54. 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 14,025–14,614 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
3 Sept 2026, 09:3314,222-106
2 Sept 2026, 06:0614,328-3
1 Sept 2026, 06:5614,331-8
31 Aug 2026, 07:4714,339-27
30 Aug 2026, 10:0714,366-30
29 Aug 2026, 08:3614,396-105
28 Aug 2026, 05:2414,501-45
27 Aug 2026, 03:2214,546+226
26 Aug 2026, 00:2314,320+58
24 Aug 2026, 21:3514,262+83
23 Aug 2026, 09:4314,179-39
21 Aug 2026, 23:5414,218-18
20 Aug 2026, 19:0214,236-11
19 Aug 2026, 18:2214,247-18
18 Aug 2026, 18:1814,265-19
17 Aug 2026, 19:3514,284-19
16 Aug 2026, 20:1214,303-37
15 Aug 2026, 06:4814,340-13
14 Aug 2026, 01:1414,353+260
12 Aug 2026, 16:2614,093first reading

Engagement

79 posts held, back to 26 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.42%
avg views ÷ 14,222 subscribers
Avg views / post
1,200
53 posts measured
Reaction rate
3.01%
reactions ÷ views · ER floor
Posts in window
61
of 79 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 2 September 2026
Posts held79 (26 July 20262 September 2026)
Views total63,491
Reactions total1,913
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:49 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
43m 25s
Average length
1m 17s

Measured directly from 34 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

2,689 reactions across 68 posts, in 13 distinct kinds. The most used accounts for 47.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,28247.7%
❤‍🔥51919.3%
🔥51019.0%
👍1917.10%
🎉1284.76%
👏311.15%
🥰110.409%
😍80.298%
🕊30.112%
🤡30.112%
😢10.037%
🙏10.037%
🤣10.037%

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 70 of the 79 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 2,768 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 79 most recent posts we hold, published 26 July 2026 to 2 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 70 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikulin_circus. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 79 most recent posts we hold for this entry, published 26 July 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

2 Sept 2026, 10:11 UTC651 views18 reactionsread 2 September 2026
Video

✨ А знаете ли вы, дорогие друзья, кто будет ведущим на нашем IV Международном фестивале Московского цирка Никулина «АРТИСТ»? Незабываемая и обаятельная Олеся Гринфельд! И она будет не одна, а в компании! А вот с кем — можете гадать, а можете подождать и узнать в ближайшие дни 😀 До встречи в цирке! Билеты поссылке 👉🏻 🎟️🎫🎟️ 🎪

❤‍🔥7👍64🔥1

1 Sept 2026, 14:30 UTC837 views26 reactionsread 2 September 2026
Video

✨ Приглашение на IV Международный фестиваль Московского цирка Никулина «АРТИСТ» от Главного режиссёра Московского цирка Никулина на Цветном бульваре Евгения Шевцова! До встречи в цирке! Билеты поссылке 👉🏻 🎟️🎫🎟️ 🎪

15👍10🔥1

31 Aug 2026, 17:15 UTC963 views37 reactionsread 2 September 2026
Video

✨ Дорогие друзья! IV Международный фестиваль Московского цирка Никулина АРТИСТ — на пороге! Ощущение чуда уже витает в воздухе: репетиции запущены, артисты из разных точек планеты в дороге, а билеты разлетаются с космической скоростью. В этом году нас ждёт настоящий интернациональный калейдоскоп: 🎪 30 уникальных номеров 🎭 88 талантливейших артистов 🌏 17 стран-участниц Всего 👥 144 человека, которые создают эту магию

31❤‍🔥5🔥1

31 Aug 2026, 16:51 UTC897 views26 reactionsread 2 September 2026
Photo

Photo, posted without a caption

13🔥13

30 Aug 2026, 20:34 UTC≈1,110 views90 reactionsread 2 September 2026
Video

С окончанием, любимые артисты! До встречи, дорогие зрители! ❤️🎪❤️ #циркникулина

56❤‍🔥19👏8🎉5🔥1🥰1

30 Aug 2026, 11:21 UTC≈1,150 views22 reactionsread 2 September 2026
Forwarded from @circusnikulinaPhoto

⚡️ Дорогие друзья, любители циркового искусства и будущие звезды манежа! ⚡️ Мы приглашаем вас принять участие в Четвёртом этапе "Национального проекта «Дорога в цирк». Это серьёзно" в детском лагере «Дружба». (г. Москва, пос. Филимонковское). Итоговым мероприятием станет Фестиваль «Дорога в цирк»! 🗓 Даты проведения тематической смены: с 23 по 30 сентября 2026 года! ➡️ Успейте подать заявку на нашем сайте до 3 сент

11👍8🔥2❤‍🔥1

28 Aug 2026, 17:12 UTC≈1,850 views78 reactionsread 2 September 2026
Photo

🔥Только один раз 29го августа в 13.45🔥 ПРЯМОЙ ЭФИР спектакля ВЕСЬ ЭТОТ ЦИРКЪ в нашем сообществе в ВК Не пропустите🎪❤️🎪

❤‍🔥45🔥1711👍5

Showing the 12 most recent of 79 posts we hold for @nikulin_circus. 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

@nikulin_circus edited 3 posts 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
14 August 2026
Most recent edit
28 August 2026

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 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.

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.

🎏Kate_pro_dosug🎏 I Кейт_про_досуг| Афиша, дети и Москва
@kate_pro_dosugNEW · 49,354
Telegram ranks this channel #35 of 77 here — alongside 76 others — read 25 August 2026
ТЕАТРАЛЬНЫЕ ЛЮДИ
@people_theatre · 72,343
Telegram ranks this channel #52 of 93 here — alongside 92 others — read 20 August 2026
Красивые места Москвы и Подмосковья
@viewmoscow · 46,718
Telegram ranks this channel #61 of 83 here — alongside 82 others — read 27 August 2026
Из Москвы на выходные 🚂
@izmoskvynavyhodnye · 45,719
Telegram ranks this channel #77 of 81 here — alongside 80 others — read 27 August 2026
Моя Москва!
@moskow_my · 54,804
Telegram ranks this channel #80 of 82 here — alongside 81 others — read 23 August 2026
Москва детская | Афиша
@msk_det · 70,001
Telegram ranks this channel #83 of 83 here — alongside 82 others — read 20 August 2026

This channel appears in 6 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.

Q1518042 on Wikidata, read 30 August 2026
LabelMoscow Nikulin Circus on Tsvetnoy Boulevard
Descriptioncircus and circus building in Moscow, Russia
YouTubeUCgWTfg547AQOjBv2-tSiIgg
Official sitehttp://www.circusnikulin.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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“Московский цирк Никулина” (@nikulin_circus), 14,222 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/nikulin_circus.

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.