Channel
@bioha1ru
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
316subscribers
-3 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002002693555 |
|---|---|
| Type | Channel |
| Username | @bioha1ru |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 31 August 2026 |
| On Telegram | t.me/bioha1ru |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 10:37 | 316 | -2 |
| 18 Aug 2026, 07:11 | 318 | -1 |
| 11 Aug 2026, 18:32 | 319 | no change |
| 11 Aug 2026, 02:46 | 319 | first reading |
19 posts held, back to 8 February 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 19 (8 February 2026 – 9 August 2026) |
| Views total | 48 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 02:46 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.
Measured directly from 1 video 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.
79 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 37 | 46.8% | |
| ❤ | 21 | 26.6% | |
| 🔥 | 17 | 21.5% | |
| 😁 | 4 | 5.06% |
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 17 of the 19 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 79reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 8 February 2026 to 9 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.
Самый частый и самый правильный вопрос перед началом приема БАД - какие лабораторные показатели сдать? Чтобы узнать маркеры для своего чекапа пройдите анкету, результаты я вышлю вам на почту или в телеграм. https://bioha.ru/sent
❤3
https://youtu.be/nqIOu0HxhO0
❤1
🤯 Парадокс современного биохакинга: чем больше сдаёшь анализов — тем меньше понимаешь, что происходит. Не потому что данных мало, а потому что каждый новый чекап живёт отдельно от предыдущего. Одна точка на карте без маршрута — просто точка. В чём проблема Стандартная история: человек получает данные лаборатории на 50+ показателей и сравнивает каждый с референсом, который рассчитан на «среднего больного», а не на …
Вьетнам, самые лучшие локальные биохакерские практики и БАДы. И немного про грибы. Есть что-то ироничное в том, что страна, где уличный кофе двойной крепости стоит 50 центов, а ноотропный овощ продаётся на рынке как суповая зелень — воспринимается туристами как место за сувенирными мазями и змеиным вином. Разберём, что реально работает. ☕️ Кофе, который не нужно «оптимизировать» Вьетнамский робуста — 2,4–2,7% коф…
❤3👍2
Вчера начали основной блок подготовки к Эквадору. Мест в группе уже нет, но если вы хотите попасть в следующую группу или записаться в лист ожидания ноябрьской группы - пишите Денису https://t.me/Den_Gil
Продолжим обзор Вьетнамского биохакинга. Сегодня о маркетинговых парадоксах. 🫙 За что реально переплачивают во вьетнамских аптеках — и что работает за копейки Вьетнамский рынок традиционных средств устроен парадоксально: самые дорогие продукты часто оказываются пустышками, а по-настоящему ценные вещи стоят немного и продаются в ближайшем кафе. 💸 Где деньги уходят в пустоту «Природный тестостерон» из пантов оленя …
👍3🔥2
Продолжим обзор Вьетнамского биохакинга. Сегодня об опасном. 🧪 Чай «для почек» из Вьетнама — и как он убил сотню человек в Бельгии В любой аптеке Ханоя, Хошимина и Нячанга стоят красивые коробки с травяными сборами. «Очищение почек», «детокс», «природное и безопасное» — стандартный маркетинг. Проблема в том, что часть этих трав убивает почки необратимо. И речь не о редком риске. 🔬 Что произошло на самом деле В 19…
👍6❤2
В группе "Эквадор" есть одно место. Запись у Дениса @Den_Gil
🔥1
💊 68% россиян принимают БАДы. Но только каждый пятый спрашивает врача Новое исследование OMI и Роскачества зафиксировало любопытный парадокс: рынок биодобавок давно вышел из нишевого увлечения, а осознанность потребителей за ним не поспевает. 🔢 Что нашли Опрос 12 578 человек (апрель 2026, города от 100 тыс.) показал: добавки принимают 68% россиян. Витамины — 82%, минералы — 31%, пробиотики — 22%, жирные кислоты — …
👍3❤1
Съездили с женой на отдых во Вьетнам. Привезли хорошее настроение, загар и фрукты. Ну и конечно, я не смог не заняться анализом местных биохакинговых практик и БАДов. Информации получилось много, сделаю несколько постов. 🧠 Самый эффективный биохак Вьетнама — тот, что в 5 утра в парке Во Вьетнаме продаются препараты с выраженным канцерогенным эффектом, кремы с незадекларированными гормонами и «природные афродизиаки»…
👍4❤3
💉 Витамин С стоит копейки. Именно поэтому никто не хочет его исследовать Один из самых парадоксальных фактов в медицине: вещество, которое продаётся за копейки, может удваивать выживаемость при одном из самых смертоносных онкологических диагнозов. И именно поэтому крупного исследования, которое докажет это окончательно, скорее всего, не будет. 🔬 Что нашли учёные Рандомизированное клиническое исследование II фазы и…
🔥5❤1👍1
Результаты коррекции, сегодняшний пример. Девочка, 12 лет, профессиональная спортсменка. Исходный профиль: инсулин 16,1 мкЕ/мл, HOMA 3,29 — гиперинсулинемия с инсулинорезистентностью. На фоне дефицита цинка, витамина D и железа. Запустили коррекцию: структура питания + целевые нутриенты. Что видим на 5-й день по CGM: → Ночной профиль стабильный, без провалов → Дневной пик 7,9 ммоль/л в 14:39 — постпрандиальный, еди…
👍5❤3
Showing the 12 most recent of 19 posts we hold for @bioha1ru. 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.
Citation-graph rank — 132,653 of 1,628,927entries 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“Биохакинг личностного роста” (@bioha1ru), 316 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/bioha1ru.
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.