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Channel

Биохакинг & Долголетие

@BiohackInsider

On this record: Topic · Observations · Growth · Engagement · Posts · Citations · Cite this entry

7,310subscribers

-335 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002471047750
TypeChannel
Username@BiohackInsider
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live16 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/BiohackInsider

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 12 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far below this size band

9.7 average views per post against 7,310 subscribers — an engagement rate of 0.133%. Across the 5,956 registered channels in the same cohort — 3,167–9,999 subscribers, posting mainly in Russian — the middle half sit between 4.68% and 17.7%, with a median of 9.29%.

What this was computed from
Window30 days (21 August 2026 20 September 2026)
Posts measured30 of 30 published in the window (30 exact, 0 rounded by Telegram)
Views totalled292
Mature posts only0.144% over 26 posts read at least 24h after publication
Subscribers7,310 measured 16 September 2026
Cohortb3162:rus · 5,956 channels · p10 2.46% · p25 4.68% · p50 9.29% · p75 17.7% · p90 28.7%
Position in cohort0.470th percentile · 1/71 the cohort median
Uncertainty±0.039% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_low, last confirmed 20 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

7,3107,6457,477.513 August 2026 — 7,645 subscribers13 August 2026 — 7,645 subscribers16 August 2026 — 7,613 subscribers19 August 2026 — 7,565 subscribers22 August 2026 — 7,529 subscribers25 August 2026 — 7,496 subscribers28 August 2026 — 7,466 subscribers31 August 2026 — 7,439 subscribers3 September 2026 — 7,423 subscribers8 September 2026 — 7,374 subscribers12 September 2026 — 7,338 subscribers16 September 2026 — 7,310 subscribers13 August 202616 September 2026
12 measurements spanning 34 days, net -335. 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 7,260–7,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 02:227,310-28
12 Sept 2026, 11:157,338-36
8 Sept 2026, 11:587,374-49
3 Sept 2026, 05:587,423-16
31 Aug 2026, 07:427,439-27
28 Aug 2026, 17:427,466-30
25 Aug 2026, 22:057,496-33
22 Aug 2026, 16:047,529-36
19 Aug 2026, 16:487,565-48
16 Aug 2026, 19:147,613-32
13 Aug 2026, 11:157,645no change
13 Aug 2026, 09:317,645first reading

Engagement

78 posts held, back to 8 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 7 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.132%
avg views ÷ 7,310 subscribers
Avg views / post
9.6
29 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
29
of 78 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 28 August 2026
Posts held78 (8 August 202628 August 2026)
Views total279
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 22:46 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.

Recent posts

28 Aug 2026, 18:53 UTC5 viewsread 28 August 2026
Photo

🔥 Три года я жил на адреналине. Просыпался в 5 утра с сердцем на 120 ударах — даже без будильника. Днём тряслись руки, вечером не мог уснуть до двух ночи. Кофеин переставал работать, но без него голова раскалывалась. Анализы показали кортизол в два раза выше нормы — организм работал на износ. 😴 Решил снижать системно. Первым делом убрал кофеин полностью, заменил цикорием. Ввёл дыхание 4-7-8 перед сном — по 10 минут.

28 Aug 2026, 12:03 UTC5 viewsread 28 August 2026

🧠 Дыхание становится главным инструментом. Приложения вроде Othership и Open набирают миллионы загрузок, а корпорации внедряют 5-минутные дыхательные сессии в рабочие перерывы. Исследования 2026 года показывают: когерентное дыхание (6 вдохов в минуту) снижает кортизол на 30% за 10 минут. Это самый дешёвый и быстрый способ войти в состояние «здесь и сейчас», доступный каждому. 🌿 Адаптогены перестали быть экзотикой. Р

28 Aug 2026, 06:33 UTC5 viewsread 28 August 2026
Photo

Видел сегодня парня в оранжевых очках — он сидел в кафе в 14:00 и листал ленту. Блокировать синий свет днём — это как закрывать жалюзи в полдень, чтобы защититься от солнца. В 2026 году маркетинг давно победил здравый смысл: синий свет из экрана — не враг. Днём он держит мозг в тонусе и регулирует циркадные ритмы. Вредно не излучение, а привычка — тусклый экран в темноте, лента в 23:40, телефон в руке до отбоя. Что

27 Aug 2026, 18:31 UTC3 viewsread 28 August 2026

Вот твой чек-лист на сегодня. Не надо делать всё сразу — просто выбери пару пунктов и встрой в день. 🛌 Выспись сегодня. Ложись на час раньше обычного. Недосып за неделю режет тестостерон на 10–15%, и это самый быстрый способ его потерять. 🏋️ Сделай 5 подходов приседаний или становой тяги. Базовые упражнения на ноги дают самый мощный гормональный отклик. Нет зала — отожмись от пола до отказа 3 раза. 🥩 Добавь в обед

27 Aug 2026, 12:16 UTC6 viewsread 28 August 2026

Полгода назад я впервые задумался о старении как о биологическом процессе, а не философской категории. Меня накрыла паника от цифр: к 50 годам до 30% клеток становятся «зомби» — сенесцентными, которые перестали делиться, но отравляют всё вокруг. 🧬 Я не врач, но решил действовать. Сдал анализы на маркеры воспаления — С-реактивный белок 3,2, выше нормы. Дальше — эксперименты. 🔥 Первое: 15 минут ВИИТ-тренировок через

27 Aug 2026, 06:48 UTC8 viewsread 28 August 2026
Photo

🔥 Тренировки усиливают термогенез — выделение тепла, на которое организм тратит калории. Чем выше интенсивность, тем дольше тело остается «разогретым» после занятия. ⚡ Интервальная нагрузка (HIIT) разгоняет метаболизм сильнее, чем кардио в умеренном темпе. Эффект сохраняется до 24 часов после тренировки. 💪 Ключевой фактор — мышечная масса. Чем больше мышц, тем выше базовый расход энергии даже в покое, поэтому силов

26 Aug 2026, 18:00 UTC10 viewsread 28 August 2026
Photo

🥊 Норма белка: 2 г/кг — это физиология или маркетинг? Вопрос, на который нет единого ответа. Три позиции — без осуждения, просто обсуждение. 💪 Уверенная: «Меньше 2 г/кг — мышцы не растут. Это подтверждено метаанализами, всё остальное — отговорки». ⚖️ Сомневающаяся: «1.2–1.6 г/кг хватает большинству. Больше — лишняя нагрузка на почки и кошелёк. Исследования дают разброс, а не точную цифру». 🌱 Неожиданная: «Дело не

26 Aug 2026, 12:43 UTC13 viewsread 28 August 2026

Вчера скачал трекер сна — тот, что с умным будильником и графиками фаз. Поставил будильник на 23:00, надел на запястье и лег с чувством, что сейчас узнаю о себе всё. 😴 Утром открыл приложение — там красота: глубокий сон 2 часа, быстрый — 1,5, пробуждение в идеальной фазе. Я даже поверил, что выспался. Но к обеду понял: я такой же разбитый, как всегда. Тогда начал копать. Оказалось, трекер считает фазы по движениям р

26 Aug 2026, 06:20 UTC10 viewsread 28 August 2026

🧬 «Старость начинается не с лет, а с утраты способности тканей к структурному обновлению». Илья Мечников сформулировал это еще в начале ХХ века, но мы до сих пор лечим симптомы, а не фундамент. Мы пытаемся замазать трещины на фасаде, когда ослабевает само здание. 💡 Коллагеновые пептиды — это не волшебная таблетка, а базовые стройматериалы. С возрастом синтез коллагена падает на 1% ежегодно. Пептиды дают телу готовые

Showing the 12 most recent of 78 posts we hold for @BiohackInsider. 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Биохакинг & Долголетие” (@BiohackInsider), 7,310 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/BiohackInsider.

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.