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Channel

Евгений Бавыкин | заметки

@evgeny_bavykin

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

130subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001682913529
TypeChannel
Username@evgeny_bavykin
DescriptionЗаведующий кафедрой физического воспитания СПГХПА им. А.Л. Штиглица. Автор YouTube каналов: Борцовский Петербург - https://youtu.be/Ngry8WfIrVU Бей и беги - https://youtu.be/shCZ7ihLFlU
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/evgeny_bavykin

Growth

1307 Aug 2026, 17:55 — 130 subscribers9 Aug 2026, 01:15 — 130 subscribers7 Aug 2026, 17:559 Aug 2026, 01:15
2 measurements spanning 1 day. 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 129–131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 01:15130no change
7 Aug 2026, 17:55130first reading

Engagement

13 posts held, back to 10 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
186.7%
avg views ÷ 130 subscribers
Avg views / post
243
3 posts measured
Reaction rate
4.12%
reactions ÷ views · ER floor
Posts in window
3
of 13 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 26 July 2026
Posts held13 (10 February 202626 July 2026)
Views total728
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 01:15 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

Photos
86
Videos
15
Links
44

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 31s
Average length
1m 46s

Measured directly from 2 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

194 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 20.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4020.6%
🔥3920.1%
3719.1%
🤣3216.5%
😁2613.4%
💯115.67%
👏63.09%
🤔31.55%

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 13 of the 13 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 194reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 10 February 2026 to 26 July 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
27
across the posts below
Posts paid on
11
of 13 we hold a reading for · 85%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @evgeny_bavykin. 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 13 most recent posts we hold for this entry, published 10 February 2026 to 26 July 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

26 Jul 2026, 20:53 UTC91 views11 reactionsread 9 August 2026

Наткнулся в сети. Фитнес-тренер рассказывает, как правильно строить тренировку. Выкатил целый шаблон. Читаю. Пункт первый - это разминка. Второй - работа на скорость. Третий - максимальная сила. И четвёртый пункт, как вы думаете, что? АКСЕССУАРНАЯ РАБОТА. Я прям представил себе профессора Григорьева, который мне теорию спорта в Лесгафта преподавал. Его голосом: — Аксессуарная РАБОТА. Далее в столбик можно продол

🤣6💯2🤔2😁1

22 Jul 2026, 09:14 UTC538 views6 reactions3 Starsread 9 August 2026

Вк Видео https://vkvideo.ru/video-211202058_456239316 YOUTUBE https://youtu.be/IMG_wdD0qmc RUTUBE https://rutube.ru/video/02a35e210d9b695140e42c4db628848e/

👍4👏1🔥1

22 Jul 2026, 09:14 UTC99 views13 reactions1 Starread 9 August 2026
Video

Друзья, всем привет! После долгого перерыва наконец-то снова заглянул в гости к петербургским борцам, в самое сердце спортивной борьбы нашего города — в школу высшего спортивного мастерства (КШВСМ)! Снял сразу две группы: младших и старших. Решил не мешать все в одну кучу, поэтому сделал два полноценных ролика. ▶️ В этом выпуске — тренировка группы начальной подготовки. ⏩ Следующий выпуск — уже скоро!

👍6🔥43

10 Jul 2026, 14:34 UTC133 views14 reactions1 Starread 9 August 2026
Forwarded from @runc_runVideo

Продолжаем рассказывать про студенческие эстафетные команды из разных городов. После студенческой эстафеты в рамках Московского полумарафона мы рассказывали про студенческую команду «Спорт УрФУ» из Екатеринбурга, сегодня — про команду из Санкт-Петербурга, и даже не одну. На студенческой эстафете в рамках СберПрайм марафона «Белые ночи» финишировало 45 команд, две из которых — «Штигла» и «Быстрая Муха» — представляю

👍5🔥54

25 Apr 2026, 16:34 UTC217 views15 reactions5 Starsread 9 August 2026
Photo

Принял участие в конференции «Фиджитал-движение: инновации, технологии и цифровая трансформация в физкультурной и спортивной работе университетов». Основной тезис: фиджитал — спорт будущего, объединяющий физическое и ментальное развитие и вовлекающий молодежь в активную жизнь. Нашел картинку, прекрасно иллюстрирующую будущее, которое нам готовят. Где там ментальное развитие и активная жизнь, авторы умалчивают.

💯64👍4🔥1

24 Apr 2026, 10:51 UTC188 views10 reactions10 Starsread 9 August 2026

Никита Фирсов. Из борца в криптоинвестора. Жил-был борец. Тренировался. Выступал. Все стабильно и предсказуемо. Утром — тренировка. Днём — сон. Вечером — снова тренировка. Ужин. Отбой. В перерывах между подходами к штанге наш герой периодически искал расслабления в обществе милых дам. И что уж скрывать — находил. Помимо тренировок и отдыха его жизнь наполняли думы о будущем. Поиск себя. Как нынче модно говорить —

6👏2🤣1😁1

17 Mar 2026, 21:51 UTC242 views14 reactionsread 9 August 2026
Photo

Смотрю матч «Сити» - «Реал» в ОККО. Работа комментаторов вызывает гнев человеческий. Это диджеи с «Авторадио». Они комментируют футбол так, будто это радиоэфир, где между песнями нужно успеть передать привет, задать вопрос и сообщить, что Ленинский проспект стоит. В ОККО есть возможность выбрать комментатора. Варианты: основной, болельщик «Реала» и болельщик «Сити». Комментатор-болельщик — это когда комментатор кон

😁9💯31🤣1

4 Mar 2026, 17:50 UTC284 views26 reactions1 Starread 9 August 2026
Photo

Юные борцы. 04.03.2026.

🔥97👍6😁3👏1

4 Mar 2026, 17:49 UTC250 views20 reactions1 Starread 9 August 2026
Photo

Сходил к борцам на тренировку. Тренеры. 04.03.2026.

9👍5🔥5👏1

25 Feb 2026, 12:06 UTC290 views16 reactions2 Starsread 9 August 2026

Толпы людей гуляют по замерзшим рекам и каналам Петербурга. Это не настоящие люди. Это фантомы туристов. В живом воплощении они спят. Во сне погружаясь в глубины своего подсознания они оказываются в Петербурге. Но это не тот Петербург, о котором они мечтают. В их представлении Петербург — солнечный, летний. А сейчас он другой — холодный, зимний. Нева замерзла, лёд вместо волн. Город превратился в холодный тамбур.

🔥6😁5👍3👏1🤔1

25 Feb 2026, 11:54 UTC245 views13 reactions1 Starread 9 August 2026
Photo

Одинокий странник потерял свою дорогу

🤣8👍2😁21

12 Feb 2026, 13:33 UTC318 views13 reactions1 Starread 9 August 2026

По мотивам своего сотрудничества с Федерацией каратэ Санкт-Петербурга написал максимально научный пост в свой канал «ТЕОРИЯ СПОРТА». Если мои 133 подписчика не прочут мой шедевр по теме «Физическая подготовка в каратэ», я уйду в MAX. Это будет самый скрепный побег, и VPN не поможет!!! Читать ЗДЕСЬ 🤛🏿 .

👍5😁5🔥3

Showing the 12 most recent of 13 posts we hold for @evgeny_bavykin. 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.

Forward network

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

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.

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

“Евгений Бавыкин | заметки” (@evgeny_bavykin), 130 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/evgeny_bavykin.

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.