Создаём пошаговое руководство по управлению твоей биологической машиной на основе научных данных.
Человеческий организм — уникальная биологическая система.
Живая машина, управление которой – в твоих руках.
BUILD YOUR OWN BIOMACHINE
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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 the other topics.
Growth
63 measurements spanning 96 days, net +651. 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 174,574–176,332 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 19:47
175,463
-20
9 Nov 2026, 05:22
175,483
-41
7 Nov 2026, 20:49
175,524
+1
6 Nov 2026, 19:45
175,523
-17
5 Nov 2026, 21:06
175,540
+13
4 Nov 2026, 17:46
175,527
+142
3 Nov 2026, 16:31
175,385
+148
2 Nov 2026, 17:25
175,237
+367
1 Nov 2026, 17:06
174,870
+93
31 Oct 2026, 15:49
174,777
-238
30 Oct 2026, 14:36
175,015
-200
29 Oct 2026, 14:49
175,215
-8
28 Oct 2026, 12:06
175,223
+12
27 Oct 2026, 13:06
175,211
+41
26 Oct 2026, 13:07
175,170
+33
25 Oct 2026, 09:40
175,137
+20
24 Oct 2026, 12:09
175,117
-23
23 Oct 2026, 11:10
175,140
-29
22 Oct 2026, 10:27
175,169
+28
21 Oct 2026, 06:47
175,141
first reading
Engagement
81 posts held, back to 28 June 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 198 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.5%
avg views ÷ 175,463 subscribers
Avg views / post
29,000
28 posts measured
Reaction rate
1.59%
reactions ÷ views · ER floor
Posts in window
29
of 81 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 10 November 2026
Posts held
81 (28 June 2026 – 10 November 2026)
Views total
812,800
Reactions total
12,889
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 03:50 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
323
Videos
114
Links
223
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Video runtime
5m 07s
Average length
31s
Measured directly from 10 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
48,267 reactions across 80 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48,267
100.0%
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 80 of the 81 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 48,267 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 28 June 2026 to 10 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.
Telegram Stars
Stars received
1,551
across the posts below
Posts paid on
68
of 80 we hold a reading for · 85%
Most on one post
633
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bmchn. 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 81 most recent posts we hold for this entry, published 28 June 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 9 of 29 posts held from the last 30 days (31.0%) 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).
Викторина по признакам Агента #1
Запускаем рубрику «Вычисли агента»! 🕴️
Мы берем настоящие популярные видео из социальных сетей, меняем внешность и голос авторов, чтобы осталась только суть сказанного (и чтобы немного поднять вам настроение 😀 )
Итак, первый кандидат — интервью на 1 млн просмотров, в котором профессор рассказывает вдохновляющую и убедительную историю о мудрых привычках наших предков.
Но в чем подв…
Доктор Берг: бинго 7 из 7
Берг ведёт крупнейший проект в сфере здоровья в рунете, и его ролики посмотрело больше людей, чем ролики любого другого автора на эту тему. Поэтому на его примерах удобнее всего потренироваться применять то, о чём мы говорили в фильме.
Оцениваем утверждения и факты, без перехода на личности.
🔴Признак 1. Алармизм и гипердиагностика
🔴Признак 2. Один враг — один спаситель
Эти признаки Берг …
Этот человек в представлении не нуждается
Хотя бы одно его видео, наверное, видел каждый. Рано или поздно кривая дорожка интернета приводила нас к нему, будь то видео про инсулин, печень, дефициты или голодание.
На основном англоязычном YouTube-канале у него 15 млн подписчиков. Есть у него и официальный русскоязычный канал с 7,3 млн. А в описании основного канала он пишет, что по всем платформам у него 49 млн 🐱
В …
«Ты потом опять поменяешь мнение. Как тебе теперь доверять?»
Такой комментарий оставили под фильмом и я рад, что разбудил скепсис.
Но давайте отделим мух от котлет:
На чём основывалось моё мнение раньше (до 2024 года): красивые теории и механизмы, отдельные исследования (часто некачественные), которые подтверждали мою картину, личный опыт, мнение авторитетных людей. По сути на собственном мнении, собранном из чужи…
Общий сбор для всех, кто устал от информационного хаоса о здоровье
Тонны контента говорят нам, что есть, как тренироваться и какие анализы сдавать, а один совет противоречит другому.
Как понять, что из этого правда?
Помимо фильма, последние месяцы мы работали еще и над практикумом, который:
1. Почистит оперативку от 50+ мифов, которые годами занимают место и незаметно тянут ресурсы
2. Установит антивирус. Вы начн…
Пробили почти полмиллиона просмотров. Спасибо каждому, кто посмотрел, написал отзыв и скинул фильм близким. Для нас это лучший знак, что мы делали всё не зря.
Бесплатный ивент набирает обороты: первые материалы уже в канале. Если пропустили, начните отсюда → Навигация
Впереди ещё много интересного, а разбор самого популярного ЗОЖ-инфлюенсера в РФ выйдет уже на днях.
Параллельно мы завершаем работу над практикумом …
медицина и врачи лечат только симптомы?
p.s. забыл добавить про фактор генетики, случайных обстоятельств, которые от тебя не зависят. Имел в виду то, что напрямую в руках человека.
ГАЙД. Как выбрать своего врача
Внутри:
🟢Зачем нужен свой терапевт и почему это одно из лучших вложений в здоровье
🟢Проверка врача в три этапа: красные флаги до приёма, на приёме и после него, и что делать, если вы их заметили
🟢Как распознать диагнозы, которых не существует, и назначения без доказанной эффективности
🟢Как подготовиться к приёму, чтобы за короткое время успеть сказать главное и чём в подготовке пом…
Проблемы с врачами в РФ. Почему мы разочарованы в медицине и что с этим делать
Если ты хоть раз так думал, ты в большинстве. По данным ВЦИОМ, качеством медицины недовольны 52% россиян, и почти каждый четвёртый из них прямо жалуется на плохое отношение врачей.
И у этого недовольства есть причины:
1️⃣ Врачу некогда. На приём у участкового терапевта в поликлинике по нормативу 15 минут, и почти половину из них врач за…
❤436
Showing the 12 most recent of 81 posts we hold for @bmchn. 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.
Posts edited after publishing
@bmchn edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
6 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @bmchn as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
7 September 2026
Most recent seen missing
8 September 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
0
Polls
The 6 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 113%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 81 most recent posts we hold, published 28 June 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 5 registered channels — 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Artem Shirokov @shirokovar · 20,671 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 29 September 2026
Roman Ovcharóv @ovcharovblog · 29,554 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 7 September 2026
Александр Добромиль your fit @Dobromil_yourfit · 35,624 Telegram ranks this channel #1 of 74 here — alongside 73 others — read 1 September 2026
Простые Мысли @prostyemisli · 47,785 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 8 September 2026
Денис Борисов @sila · 103,017 Telegram ranks this channel #3 of 80 here — alongside 79 others — read 8 September 2026
Умный фитнес @AlexeyTrainer · 32,567 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 5 September 2026
Пенкин Егор - Здоровое будущее @fit_therapy · 79,676 Telegram ranks this channel #6 of 91 here — alongside 90 others — read 18 August 2026
Ноотропы и Биохакинг | RISE @mind_rise · 38,798 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 15 September 2026
Dagon @dagon_official · 25,521 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 13 September 2026
Руслан Масгутов @rusmasgutov · 142,016 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 13 August 2026
Просвещенный @prosveshenniychannel · 26,961 Telegram ranks this channel #11 of 69 here — alongside 68 others — read 12 September 2026
Денис Семенихин @DenisSemenikhin · 34,257 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 8 September 2026
Альберт @robiyolo · 48,204 Telegram ranks this channel #12 of 70 here — alongside 69 others — read 26 August 2026
ЧД @che_d_e · 37,247 Telegram ranks this channel #13 of 91 here — alongside 90 others — read 31 August 2026
Глеб Соломин 🚀 24.05.2025 @gleb_solomin · 61,761 Telegram ranks this channel #16 of 77 here — alongside 76 others — read 22 August 2026
CleverMind @CleverMindRu_Official · 28,841 Telegram ranks this channel #17 of 55 here — alongside 54 others — read 15 September 2026
Тёмная комната | Эриксон @erik_hard · 44,396 Telegram ranks this channel #18 of 73 here — alongside 72 others — read 30 August 2026
Максим Вердикт @verdiktt · 67,381 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 20 August 2026
theolefirenko @theolefirenkooo · 64,644 Telegram ranks this channel #20 of 70 here — alongside 69 others — read 20 August 2026
БИОХАКИНГ И НООТРОПЫ | АНДРЕЙ АРБЕНИН 🅰️ @andreyarbenin · 24,494 Telegram ranks this channel #23 of 68 here — alongside 67 others — read 15 September 2026
Dzari @DrDzari · 262,948 Telegram ranks this channel #23 of 89 here — alongside 88 others — read 10 August 2026
Иван Халилов ДЛЯ СВОИХ🔥 @ivankhalilov · 79,550 Telegram ranks this channel #25 of 63 here — alongside 62 others — read 19 August 2026
Арсен Маркарян Официальный @arsenmarkarian · 153,861 Telegram ranks this channel #25 of 70 here — alongside 69 others — read 12 August 2026
БИОХАКИНГ @bioarcana · 9,375 Telegram ranks this channel #26 of 64 here — alongside 63 others — read 28 August 2026
This channel appears in 54 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“BIOMACHINE” (@bmchn), 175,463 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/bmchn.
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.