Исследования, полезные статьи и ссылки
@trenerskayaFPAchat - Тренерская FPA (чат)
@fitness_pro_bot - чат для связи с офисом FPA
@fitnessrabota — ресурс для поиска сотрудников и партнеров
Created
6 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
24 measurements spanning 89 days, net +178. 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 8,824–9,064 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
4 Nov 2026, 11:37
9,031
-5
1 Nov 2026, 01:07
9,036
+1
28 Oct 2026, 14:17
9,035
+16
25 Oct 2026, 09:27
9,019
+10
22 Oct 2026, 00:28
9,009
-5
19 Oct 2026, 02:11
9,014
-3
15 Oct 2026, 16:38
9,017
+15
12 Oct 2026, 11:49
9,002
+16
5 Oct 2026, 20:20
8,986
+12
28 Sept 2026, 16:38
8,974
+2
16 Sept 2026, 05:40
8,972
+3
12 Sept 2026, 07:40
8,969
+18
8 Sept 2026, 05:56
8,951
+22
2 Sept 2026, 21:37
8,929
+10
31 Aug 2026, 04:03
8,919
+6
28 Aug 2026, 11:06
8,913
+9
25 Aug 2026, 13:34
8,904
+15
22 Aug 2026, 10:53
8,889
+5
19 Aug 2026, 11:34
8,884
+12
16 Aug 2026, 17:57
8,872
first reading
Engagement
40 posts held, back to 25 July 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.3%
avg views ÷ 9,031 subscribers
Avg views / post
1,380
14 posts measured
Reaction rate
0.817%
reactions ÷ views · ER floor
Posts in window
14
of 40 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
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
40 (25 July 2026 – 8 November 2026)
Views total
19,339
Reactions total
158
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 23:27 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
≈1,740
Videos
≈31
Links
≈1,340
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 23s
Average length
1m 42s
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
332 reactions across 39 posts, in 5 distinct kinds. The most used accounts for 43.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
144
43.4%
❤
121
36.4%
👍
52
15.7%
🤩
11
3.31%
🎉
4
1.20%
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 39 of the 40 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 332 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 25 July 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 14 posts held from the last 30 days (7.14%) 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).
Сегодня предлагаем вспомнить и пересмотреть легендарный вебинар Алексея Водовозова и Дмитрия Калашникова про вредную и невредную еду.
Врач-токсиколог, научный журналист, автор книги «Пациент разумный» (2016), призёр премии «Russian Sci&Tech Writer of the Year» (2019) Алексей Водовозов стал гостем прямого эфира и ответил на вопросы Президента FPA Дмитрия Калашникова.
Что в питании действительно вредно, а где страшил…
Катерина, поздравляем!
«Вот и пролетело мое студенчество в FPA👩🎓
Учеба — это не только про диплом, это про рост, новые идеи и знакомства с удивительными людьми.
Помните, учиться никогда не поздно! Каждый новый шаг — это возможность стать лучше и открыть для себя что-то новое.
Давайте двигаться вперед и стремиться к своим мечтам 🚀»
#FPAотзывы
Любите групповые тренировки? Научитесь их вести!
Если вы давно занимаетесь в фитнес-клубе, хорошо знаете групповые тренировки изнутри или уже делаете первые шаги в профессии инструктора — следующий шаг можно сделать дистанционно.
🏋️ Курс FPA «Инструктор групповых программ» — 7-месячная программа профессиональной подготовки для тех, у кого уже есть практический опыт и кто хочет превратить его в системные знания и пр…
⚡️Новое видео!
👉 https://youtu.be/5EqoYkQYyJ0
👉 https://vkvideo.ru/video-845365_456247958
На ваши вопросы отвечает Президент FPA Дмитрий Калашников. Отрывок вебинара «Разбор мифов из качалки».
С Днём тренера, коллеги!
Подняться на пятый этаж без одышки. Легко подхватить на руки ребёнка. После рабочего дня найти силы на прогулку. Перестать воспринимать физическую нагрузку как испытание и начать получать удовольствие от движения.
За этими, казалось бы, обычными переменами стоят грамотно спланированные тренировки, терпение и профессиональные решения тренера.
В этом и заключается ценность нашей профессии: мы…
Ангелина, поздравляем!
«Никогда не поздно начать делать то, что любишь. Я
выбрала спорт и ни разу не пожалела 💪 Спасибо всем, кто
меня поддерживал ❤️»
#FPAотзывы
Основа фитнеса от лидера индустрии — в вашем распоряжении!
Вы смотрите на инстаграм-тренеров, читаете статьи о фитнесе и ловите себя на мысли:
«А ведь я тоже так могу. И, наверное, даже лучше».
Но вас останавливает главный вопрос: «С чего начать?»
Интернет завален разрозненной информацией. Одни ролики противоречат другим. Непонятно, где правда, а где миф. Можно годами собирать пазл из обрывочных знаний и так и не сло…
⚡️Новое видео!
👉 https://youtu.be/g8FRoP5-YkA
👉 https://vkvideo.ru/video-845365_456247956
На ваши вопросы отвечает Президент FPA Дмитрий Калашников. Отрывок вебинара «Разбор мифов из качалки».
👍3❤2
Showing the 12 most recent of 40 posts we hold for @trenerskayaFPA. 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.
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.
Мудрость Фитнеса (тренер Кабуров) @fitness_mayatnik · 25,575 Telegram ranks this channel #9 of 93 here — alongside 92 others — read 13 September 2026
Павел Баранов. Эндокринология/диетология. @pavelbaranov_md · 31,089 Telegram ranks this channel #12 of 96 here — alongside 95 others — read 6 September 2026
Национальное фитнес-сообщество @nationalfitnessru · 70,340 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 28 August 2026
Павел Тулюпа @tulupavel_fit · 70,121 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 20 August 2026
DDX Fitness @ddxfitness_official · 178,510 Telegram ranks this channel #32 of 87 here — alongside 86 others — read 19 August 2026
Nikiforov team @nikiforov_t · 35,359 Telegram ranks this channel #33 of 79 here — alongside 78 others — read 2 September 2026
Александр Семенов @trenersemenov · 22,693 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 19 September 2026
Пенкин Егор - Здоровое будущее @fit_therapy · 79,680 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 18 August 2026
Sofia Maloletova @Sofia_Malolet · 21,873 Telegram ranks this channel #57 of 82 here — alongside 81 others — read 21 September 2026
ЛиндоВерный @lindover · 20,124 Telegram ranks this channel #59 of 85 here — alongside 84 others — read 27 September 2026
Здравхаб Игоря Воронцова @HealthCoachIgor · 19,760 Telegram ranks this channel #70 of 87 here — alongside 86 others — read 27 September 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,201 Telegram ranks this channel #82 of 94 here — alongside 93 others — read 3 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.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ассоциация Профессионалов Фитнеса (FPA)” (@trenerskayaFPA), 9,031 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/trenerskayaFPA.
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.