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Channel

Кирилл Агогэ

@agoge_ai

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

234subscribers

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

Register entry

Telegram ID-1003051789188
TypeChannel
Username@agoge_ai
Description6 цивилизация, вихревая парадигма, ИИ, спорт через ИИ.
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 September 2026
Last confirmed live18 September 2026
Measurements held1
On Telegramt.me/agoge_ai

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 23:22234first reading

Engagement

16 posts held, back to 29 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
89.8%
avg views ÷ 234 subscribers
Avg views / post
210
16 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 14 September 2026
Posts held16 (29 August 202614 September 2026)
Views total3,362
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Sept 2026, 23:22 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
12
Links
8

Lifetime counters from Telegram’s own channel header, read 18 September 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.

Reaction mix

54 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 42.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2342.6%
1935.2%
🔥713.0%
👀47.41%
🌭11.85%

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 16 of the 16 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 29 August 2026 to 14 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.

Recent posts

14 Sept 2026, 14:59 UTC207 views10 reactionsread 18 September 2026

Кратко что тут планируется к публикации. 1. Биоэнергетика в моей трактовке - для спорта это как квантовая механика в физике. 2. Стволовые клетки и ECM как лимитер здоровья и тренировочных адаптаций. 3. Нейро символьный мозг - анализатор тренировок, питания, отвечает на вопросы - упрощенно ИИ думающий как я. 4. Тренировки для здоровья и обычной жизни - 1 подход без отказа, 1 интервал для выносливости и подобные темы.

🔥53🌭1👍1

4 Sept 2026, 12:07 UTC307 views1 reactionsread 18 September 2026

Ранее я упоминал (не здесь), что размышляя на тему а какие режимы гипертрофии проистекают из матмодели энергии? Лично для меня более чем достаточно микродропа и микродинамики. Есть режим, который я несколько раз пробовал, посчитал что да, наверное может работать, но не стал делать. Это легкие вариации Литви-спринта. Вариант 1 - вы делаете приседания без расслабления мышц рядом с велотренажером или велосипедом, и сраз

👍1

4 Sept 2026, 10:31 UTC253 views0 reactionsread 18 September 2026

Короткий вывод - распад КрФ по Меерсону прямой активатор гипертрофии, по современным данным он mTOR активирует. Еще он манометр (коррелят) всех других метаболических и энерго сигналов. Модель симулируя энергию, выносливость, субстраты и доставку О2 с учётом любых режимов работы мышц позволяет предсказать процессы, совпадает с ЯМР и биопсиями. Рабочая гипотеза - там где КрФ распадается есть рост мышц, там где нет - не

4 Sept 2026, 08:37 UTC250 views6 reactionsread 18 September 2026
Photo

Сделана матмодель разных режимой тренировки гипертрофии ММВ! Идет оценка О2, КрФ, гликолиза и гипертрофического сигнала. В данный момент она ошибается, но в целом работает. Доволен. Она может 20 разновидностей тренировок моделировать. Для меня это отдых от более приоритетных задач.

👍51

31 Aug 2026, 23:22 UTC258 views1 reactionsread 18 September 2026

Я бы дополнил еще так, более сильную версию концепта о тренировке всего сразу. Возьмем колокола распределения развития нетренированных и чемпионов, на единых 3 графиках для ССС, ММВ, ЛМВ. Что мы видим? При глобальной картине лимитер в 99% случаев - это все 3 одновременно, и в стратегическом пути улучшения их одновременно, игнорируя "специализацию" на одном это нормально. Какой-то смысл специализации есть только когда

👍1

30 Aug 2026, 05:28 UTC239 views2 reactionsread 18 September 2026
Photo

Микромодель биоэнергетики. Пока что неправильно работает, но в целом ОК. Это не отменяет большую модель на 150-200 формул, эта модель учебная, для наглядного восприятия, в ней 100% точность воспроизведения механики химии не нужно.

1👍1

30 Aug 2026, 01:03 UTC205 views2 reactionsread 18 September 2026

Сделана статья и модель жиросжигания, можно скачать и открыть на ПК HTML, поиграться с настройками. Основной вывод - большинство фитнесистов нулевые по жировой мощности, и не способны даже несколько часов непрерывно ходить на одних жирах. Следовательно - все причудливые методы ускорения жиросжигания - бессмыслица (мы исключаем прием гормонов и тяжелой токсичной фармы). С другой стороны - высококвалифицированные стайе

1👍1

29 Aug 2026, 11:03 UTC194 views4 reactionsread 18 September 2026
Photo

Попросил создать аналогичную математическую модель для жиросжигания. Позже проверю: пока есть недочеты, не все тонкости выражены. Модель создавала локальная нейросеть Qwen 3.8 27B. Аналогично ситуации со страхом «утонуть от +1 кг мышц (которые в ЦВС то и накачать не умеют зачастую)», тема манипуляций при поиске чит-кодов для жиросжигания тоже обросла иллюзиями. Я могу словесно по памяти рассказывать об этих математич

👍31

29 Aug 2026, 07:00 UTC177 views12 reactionsread 18 September 2026

При помощи маленькой математической модели из зип выше строго показано и доказано, что невозможно ни "перекачаться", ни "утонуть". Так-же, по сути, в рамках явления "компрессии экспертизы", все могут тренироваться по единому плану, одновременно тренируя ССС, ЛМВ и гипертрофию ММВ и единому питанию, выбросив все запутанные технологии, вне зависимости от того что их лимитирует сейчас. Ибо в любом случае все упрется в г

4👀4👍4

Showing the 12 most recent of 16 posts we hold for @agoge_ai. 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.

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Кирилл Агогэ” (@agoge_ai), 234 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/agoge_ai.

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.