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Channel

Могутин

@mogutinik

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cross-platform identity · Referenced elsewhere · Cite this entry

10,598subscribers

-26 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001059699800
TypeChannel
Username@mogutinik
Created31 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/mogutinik

Growth

10,59810,62410,6115 August 2026 — 10,624 subscribers6 August 2026 — 10,624 subscribers6 August 2026 — 10,623 subscribers7 August 2026 — 10,622 subscribers8 August 2026 — 10,620 subscribers9 August 2026 — 10,618 subscribers10 August 2026 — 10,616 subscribers12 August 2026 — 10,613 subscribers13 August 2026 — 10,608 subscribers14 August 2026 — 10,601 subscribers16 August 2026 — 10,598 subscribers5 August 202616 August 2026
11 measurements spanning 10 days, net -26. 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 10,594–10,628 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 08:1610,598-3
14 Aug 2026, 18:0710,601-7
13 Aug 2026, 07:5510,608-5
12 Aug 2026, 05:4310,613-3
10 Aug 2026, 05:3010,616-2
9 Aug 2026, 02:2110,618-2
8 Aug 2026, 01:2410,620-2
7 Aug 2026, 01:3410,622-1
6 Aug 2026, 03:2010,623-1
6 Aug 2026, 02:4610,624no change
5 Aug 2026, 22:1810,624first reading

Engagement

14 posts held, back to 17 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.5%
avg views ÷ 10,598 subscribers
Avg views / post
3,340
13 posts measured
Reaction rate
1.84%
reactions ÷ views · ER floor
Posts in window
13
of 14 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 August 2026
Posts held14 (17 July 20262 August 2026)
Views total43,370
Reactions total796
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 17:57 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
1m 31s
Average length
30s

Measured directly from 3 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

883 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍28031.7%
21324.1%
😁17119.4%
🤡16318.5%
😱414.64%
🕊60.68%
😐60.68%
🤮30.34%

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 14 of the 14 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 883reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 17 July 2026 to 2 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
3
of 14 we hold a reading for · 21%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mogutinik. 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 14 most recent posts we hold for this entry, published 17 July 2026 to 2 August 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 Aug 2026, 06:21 UTC≈1,950 views63 reactionsread 15 August 2026
Video

Если честно, я не знаю, как сейчас это работает в России, но в Лос-Анджелесе есть невероятно удобное приложение (их даже несколько), через которые ты в любой момент дня можешь найти, где поиграть в футбол. Открываешь, чекаешь время и локации, смотришь составы – кто играть будет, вписываешься. Стоит недорого – от 11 долларов за простой мини-футбол в коробке до 25 долларов за большое поле и 11 на 11 с играющим тренером

😁2818👍15🤡2

31 Jul 2026, 02:00 UTC≈2,170 views83 reactionsread 15 August 2026
Video

Одна из самых любимых привычек, которые появились у меня после переезда в США – это ежедневные пробежки. Я стараюсь держать ритм недели: 3 км – 5 км – 10 км – заново. В Париже была, конечно, фантастическая культура бега. Старинные улицы, набережная Сены и прочее великолепие – но почему-то именно локации Лос-Анджелеса покорили моё сердце. Тебе нужно всего лишь минут 30-40 на машине – и ты бежишь в горах. Столько же –

👍6019🤡4

30 Jul 2026, 23:22 UTC≈2,100 views62 reactionsread 15 August 2026

Играю в футбол, большое поле, 11 на 11, большинство – американцы, это редкость. Неожиданно сквозь выкрики на английском слышу до боли знакомое, истеричное: «О, мэрд, пютан!!». Оборачиваюсь к нему, как к родному, спрашиваю: «Ты говоришь на французском?» Тот просиял, говорит, да, а ты француз? Нет, говорю, я русский, но говорю на французском. Тот моментально охладел, равнодушно кивнул и отвернулся. Как же я скучаю по

😁556🤡1

30 Jul 2026, 19:47 UTC≈2,210 views58 reactions2 Starsread 15 August 2026
Photo

Переходим, наконец, к тому, ради чего вы всё это читаете. Испытания в студенческих братствах в США. Если кратко – тут у нас с вами шоу «Голые и Бухие». Итак, сразу важная оговорка: за последние годы тусовочка реально ужесточила правила, и университеты закрывают эти альфа-омеги за малейшее нарушение. Но время от времени всё равно что-то всплывает – просто реже, чем раньше. Погнали. Очень часто испытания были связан

😱2519👍5🤡4😁2😐2🤮1

29 Jul 2026, 20:14 UTC≈2,180 views60 reactionsread 15 August 2026
Photo

Продолжаем про братства – теперь про то, как вообще выглядит сам процесс превращения из «абитуриента» в «брата». Для начала факт, который вам поможет лучше понять, что тут вообще происходит. Если вы смотрели «Бойцовский клуб», то помните систему испытаний для новичков: дежурство на крыльце без сна, отсутствие имени, унизительные задания. Так вот, это оно. Итак, первое, что с вами происходит, если вы жуть, как захоте

👍3111😱10🤡6🕊1🤮1

29 Jul 2026, 09:11 UTC≈2,540 views80 reactions2 Starsread 15 August 2026
Photo

Итак, студенческие братства в США. Буквально одна фраза для истории: первое известное братство – Phi Beta Kappa, появилось в 1776 году. И оно вообще не имело ничего общего с тем, что есть сейчас – это был тайный дискуссионный клуб для оттопыренных мизинчиков. Всё, закончили с историей. Теперь: что же такое вообще – «братство»? Это закрытое сообщество студентов при университете, у которого название традиционно состои

👍4920🤡6😐3🕊2

28 Jul 2026, 22:28 UTC≈2,400 views143 reactions1 Starread 15 August 2026
Photo

Итак, в следующие пару дней вас ждут несколько очень классных (зуб даю) постов про самую интересную сторону американской университетской жизни. Пришло время почитать жесть про студенческие братства – те самые «альфа, омега, эпсилон, погнали бегать голыми по кампусу». По традиции жмём клоунов. #универ@mogutinik

🤡11919🕊3🤮1😐1

25 Jul 2026, 10:52 UTC≈3,200 views32 reactionsread 15 August 2026
Photo

Посмотрел фильм Роберта Эггерса «Ведьма». Я собирался включить его лет десять, наверное, но как-то всё. За эти годы, что я собирался с силами, я несколько раз спрашивал у знакомых, страшный ли он и вообще: как там по хоррору? Знакомые кивали, типа, да, страшный – и странно отводили глаза в сторону. 1630 год. Многодетное семейство выгоняют из поселения после религиозного спора. Семья, недолго думая, переезжает на фе

😁197👍5🤡1

24 Jul 2026, 06:53 UTC≈3,530 views37 reactionsread 15 August 2026
Photo

Добрался до фильма 2022-го года «Варвар» – с Биллом Скарсгардом и другими. История стартует просто: главная героиня приезжает на собеседование в другой город и снимает на ночь дом через Airbnb. Однако этот дом уже кто-то снял до неё. Собственно, этим стоит и ограничиться, чтобы не. Я обожаю фильмы с, как я это называю, «изломом реальности» – ну это я так выпендриваюсь, оттопырив мизинчик. На самом деле всё очень пр

👍2214🤡1

23 Jul 2026, 23:21 UTC≈8,870 views63 reactionsread 15 August 2026
Photo

Ладно, расскажу вам последнее про Одиссею Нолановну. Я как-то об этом не задумывался, а сегодня узнал, что в сцене с гигантами-лестригонами снимали реальных живых актёров. На их роль подбирали исполнителей ростом больше 213 сантиметров. А для максимального эффекта команду Одиссея дублировала невысокая массовка – до 152 сантиметров ростом. Доспехи, кстати, тоже были реальные. Точно такой же трюк исполнял Питер Джексо

36👍13😁9😱3🤡2

21 Jul 2026, 22:05 UTC≈3,740 views26 reactionsread 15 August 2026

Дорогие друзья! А поделитесь своими действенными и отличными способами, как вы бросили курить? Я с перерывами курю уже 20 лет, пару месяцев назад очень глубоко увлёкся бегом и теперь понимаю, что дыхалка очень мощно тормозит прогресс. И вот, кажется, я дошел до стадии, когда кофе и сигареты – это просто кофе.

👍177🤡2

19 Jul 2026, 03:32 UTC≈4,640 views35 reactionsread 15 August 2026
Photo

Задумался сегодня о тяжёлой судьбе актёра, игравшего циклопа в «Одиссее» Нолана. Зная зацикленность режиссёра на реальных, а не CGI-отрисованных сценах, я понимал, что несчастному актёру пришлось пойти на многие лишения в процессе съёмок (те, кто смотрели уже, поймут). Естественно, я шучу, но пришлось немного исследовать вопрос и оказалось, что это не так уж и далеко от правды. Короче, циклоп – это не актёр в зелёно

😁266🤡3

Showing the 12 most recent of 14 posts we hold for @mogutinik. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 129,973 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

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.

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.

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.

Q106530298 on Wikidata, read 16 August 2026
LabelNo label recorded on this Wikidata item
DescriptionRussian journalist
X / Twitter@mogoutine

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Могутин, Никита Александрович (ru.wikipedia.org)
“…февраля 2022 года не работает в издании «Baza»{{Cite web|url=https://t.me/mogutinik/2990|title=Могутин|website=Telegram|access-date=2022-05-08|arc…”
read 16 August 2026

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Могутин” (@mogutinik), 10,598 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/mogutinik.

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.