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Channel

Биохакинг |Максим Обухов | Нутрициология

@obukhov_channel

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

24,360subscribers

+2,885 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002102078023
TypeChannel
Username@obukhov_channel
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/obukhov_channel

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.

Growth

21,46024,36022,9107 August 2026 — 21,475 subscribers7 August 2026 — 21,475 subscribers7 August 2026 — 21,460 subscribers9 August 2026 — 21,462 subscribers10 August 2026 — 21,460 subscribers11 August 2026 — 21,472 subscribers12 August 2026 — 21,482 subscribers13 August 2026 — 21,493 subscribers14 August 2026 — 21,513 subscribers16 August 2026 — 21,540 subscribers17 August 2026 — 21,548 subscribers18 August 2026 — 21,571 subscribers20 August 2026 — 21,581 subscribers21 August 2026 — 21,579 subscribers22 August 2026 — 21,591 subscribers24 August 2026 — 21,749 subscribers25 August 2026 — 21,861 subscribers26 August 2026 — 22,131 subscribers27 August 2026 — 22,452 subscribers28 August 2026 — 22,634 subscribers29 August 2026 — 22,771 subscribers30 August 2026 — 22,946 subscribers30 August 2026 — 23,145 subscribers1 September 2026 — 23,267 subscribers2 September 2026 — 23,359 subscribers3 September 2026 — 23,450 subscribers4 September 2026 — 23,502 subscribers7 September 2026 — 23,683 subscribers10 September 2026 — 23,949 subscribers12 September 2026 — 24,037 subscribers14 September 2026 — 24,118 subscribers15 September 2026 — 24,227 subscribers18 September 2026 — 24,360 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net +2,885. 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 21,025–24,795 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 04:2024,360+133
15 Sept 2026, 21:4024,227+109
14 Sept 2026, 05:5724,118+81
12 Sept 2026, 13:1824,037+88
10 Sept 2026, 09:3823,949+266
7 Sept 2026, 07:1723,683+181
4 Sept 2026, 13:1823,502+52
3 Sept 2026, 02:2823,450+91
2 Sept 2026, 02:1323,359+92
1 Sept 2026, 00:1823,267+122
30 Aug 2026, 23:2723,145+199
30 Aug 2026, 01:0422,946+175
29 Aug 2026, 01:0922,771+137
28 Aug 2026, 00:2622,634+182
27 Aug 2026, 00:4522,452+321
26 Aug 2026, 01:4322,131+270
25 Aug 2026, 04:2821,861+112
24 Aug 2026, 03:5721,749+158
22 Aug 2026, 09:2721,591+12
21 Aug 2026, 01:0321,579first reading

Engagement

41 posts held, back to 5 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 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.7%
avg views ÷ 24,360 subscribers
Avg views / post
4,790
9 posts measured
Reaction rate
3.45%
reactions ÷ views · ER floor
Posts in window
9
of 41 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 held41 (5 July 20262 September 2026)
Views total43,100
Reactions total1,487
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:53 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
6m 17s
Average length
1m 03s

Measured directly from 6 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

7,405 reactions across 41 posts, in 21 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3,98753.8%
1,12715.2%
👍89212.0%
💊7299.84%
🍌1682.27%
custom 54630812810488180431181.59%
❤‍🔥1091.47%
👏710.959%
🤔470.635%
👌270.365%
🌭240.324%
🍓220.297%
💯210.284%
🤝180.243%
🦄140.189%
🥰80.108%
🤣70.095%
🤨70.095%
🫡40.054%
🎉30.041%
1 further kind20.027%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 41 of the 41 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 7,405 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 5 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
25
across the posts below
Posts paid on
18
of 41 we hold a reading for · 44%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @obukhov_channel. 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 41 most recent posts we hold for this entry, published 5 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, 16:05 UTC≈2,350 views117 reactionsread 3 September 2026
Photo

Почему добавка «для энергии» может не дать вам результат? 💊 Друзья, в последнее время я всё чаще вижу в соцсетях советы, рекомендации и обзоры на разные добавки. Да и сам регулярно рассказываю, что принимаю и разбираю различные БАДы. Но хочу обратить ваше внимание на важный момент: ❗️Если кому-то определённая добавка помогла вернуть энергию, улучшить концентрацию или сон, это ещё не повод сразу заказывать такую же

🔥103👏7🤔4🎉3

1 Sept 2026, 19:13 UTC≈3,630 views274 reactions1 Starread 3 September 2026
Voice message

МОИ ДОБАВКИ ДЛЯ ЭНЕРГИИ И ЗДОРОВЬЯ МИТОХОНДРИЙ⚡️ Недавно я записывал большой подкаст о своей рабочей схеме для энергии и концентрации. В нём рассказал, как мне удаётся сохранять работоспособность при плотном графике, частых перелётах и постоянной смене часовых поясов. Если пропустили, послушать его можно ТУТ А в этом аудио решил продолжить тему и подробнее рассказать о добавках, которые использую сам для поддержан

🔥247👍14👏9💊4

1 Sept 2026, 16:06 UTC≈3,530 views92 reactions1 Starread 3 September 2026
Video message

Video message, posted without a caption

🔥68👍18❤‍🔥4🤔2

31 Aug 2026, 15:22 UTC≈3,910 views128 reactionsread 3 September 2026

ПРОДОЛЖЕНИЕ ПОСТА ❗️Компания утверждала, что участники похудели «без диеты и тренировок». Однако Федеральная торговая комиссия обратила внимание, что по протоколу участникам давали рекомендации ограничить калорийность питания и увеличить физическую активность. Чем всё закончилось❓ В 2014 году Федеральная торговая комиссия США заявила, что исследование было настолько серьёзно искажено, что из него невозможно сделать

🔥107👍16👏4🤣1

31 Aug 2026, 15:12 UTC≈3,680 views50 reactionsread 3 September 2026
Photo

КАК ПРОИЗВОДИТЕЛЬ БАДа КУПИЛ ИССЛЕДОВАНИЕ И СОЗДАЛ МИЛЛИОННЫЙ РЫНОК 💊🤑 Пост в двух частях В 2012 году в рецензируемом научном журнале появилось исследование с настолько убедительным названием, что большинство покупателей дальше заголовка уже не читали: «Рандомизированное двойное слепое плацебо-контролируемое перекрёстное исследование эффективности и безопасности экстракта зелёного кофе у людей с избыточным весом».

🔥33👍11💊6

28 Aug 2026, 16:42 UTC≈5,520 views166 reactions1 Starread 3 September 2026
Video

Что общего у кофе и анестезии? ☕️ Представьте: вам вырвали зуб и обезболили рану. Вы вроде ничего не чувствуете. Но это не значит, что рана зажила: ткани повреждены, рана кровит, воспалительные медиаторы и клетки иммунитета синтезируются, просто болевой сигнал временно не доходит до мозга. По похожему принципу кофе маскирует усталость. После выпитой чашки становится легче работать, но организм при этом не получает

🔥155👍6🤔5

27 Aug 2026, 18:31 UTC≈6,340 views178 reactions2 Starsread 3 September 2026
Photo

АКТОВЕГИН: СОВЕТСКИЕ КАПЕЛЬНИЦЫ ДЛЯ ВОССТАНОВЛЕНИЯ ? Актовегин — ультрафильтрат крови телят. Препарат старый, при этом до сих пор очень популярный в странах СНГ (хотя у препарата австрийские корни, как и у церебро), разберем сегодня насколько он эффективен. Стоит понимать, что это не одно вещество, а сложная смесь из более чем 200 низкомолекулярных биологически активных компонентов. Анализ с использованием хроматогр

101🔥34🌭21👍16custom 54630812810488180436

26 Aug 2026, 17:57 UTC≈6,930 views371 reactions1 Starread 3 September 2026
Voice message

Моя рабочая схема для энергии и концентрации🔥 Записал для вас большой и довольно личный подкаст о том, как мне удаётся сохранять работоспособность при плотном графике, частых перелётах и постоянной смене часовых поясов. — почему раньше мне приходилось поддерживать себя литрами кофе, энергетиками и стимуляторами; — какие дефициты всё это время влияли на мою энергию и концентрацию; — какой у меня ферритин, какой пр

232🔥111👍17custom 54630812810488180439🥰2

25 Aug 2026, 10:39 UTC≈7,210 views111 reactionsread 3 September 2026
Photo

ЯПОНЦЫ ПЛАТЯТ ЗА СОН💸 Наткнулся на интересное исследование, как несколько лет назад японская компания Crazy Inc. запустила необычную программу для сотрудников. Тем, кто спал хотя бы шесть часов не менее пяти дней в неделю, начисляли баллы. Их можно было потратить на еду в корпоративной столовой. Сон отслеживали через специальное приложение💬 Звучит странно: обычно компании платят за выполненную работу, а здесь реши

❤‍🔥50👍39💯21custom 54630812810488180431

24 Aug 2026, 10:46 UTC≈7,100 views138 reactions1 Starread 3 September 2026
Video

Советские аптечные препараты: что реально работает, а что давно пора отправить на полку истории?⭐️ Сняли выпуск на Живой Стали. Разобрали препараты, которые годами использовались в спорте и бодибилдинге: Пикамилон — есть ли вообще смысл? Зачем использовать рацетамы в спортре? Пирацетам, фенотропил, ноопепт — что говорят исследования? Рибоксин — действительно ли он «даёт энергию» мышцам? Инозин — побочные эффекты, п

👍87🔥35❤‍🔥124

22 Aug 2026, 17:47 UTC≈6,840 views135 reactionsread 3 September 2026
Video

КОЛЛОИДНОЕ СЕРЕБРО В БИОХАКИНГЕ: КАК НЕ ПОСИНЕТЬ Друзья, у меня тут пару недель назад заболело горло, и я пытался найти в аптеках США что-то антибактериальное, какие-нибудь сосачки,пшикалки. По факту 90% ассортимента это противовоспалительные рассасывающиеся таблетки без антибактериального компонента - обошел в Нью Йорке несколько сетевых аптек: Walgreens, CVS - ничего толкового не нашел. Благо с собой я взял бутыл

🔥123🤔5👍3👏3💊1

20 Aug 2026, 14:53 UTC≈6,400 views215 reactions1 Starread 3 September 2026
Photo

КОРТЕКСИН: ПЕПТИДЫ ИЗ МОЗГА ТЕЛЯТ 🐂 Кортексин — комплекс водорастворимых полипептидных фракций, извлечённых из коры головного мозга телят. Выпускается как лиофилизат для внутримышечных инъекций, применяется с конца 1990-х при инсульте, черепно-мозговой травме, энцефалопатиях, эпилепсии, задержке развития и когнитивных нарушениях у детей и взрослых 🧠 Среди важнейших полипептидов кортексина выделяют DS, EDR-пинеалон

210💊5

Showing the 12 most recent of 41 posts we hold for @obukhov_channel. 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.

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.

“Биохакинг |Максим Обухов | Нутрициология” (@obukhov_channel), 24,360 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/obukhov_channel.

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.