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Telegram profile photo for BIOMACHINE

Channel

BIOMACHINE

@bmchn

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

175,412subscribers

+600 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001735836642
TypeChannel
Username@bmchn
DescriptionЧеловеческий организм — уникальная биологическая система. Живая машина, управление которой – в твоих руках. Создаём пошаговое руководство по управлению твоей биологической машиной на основе научных данных. BUILD YOUR OWN BIOMACHINE
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/bmchn

Topic

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 why it has no browse page of its own yet.

Growth

174,812176,129175,470.57 August 2026 — 174,812 subscribers7 August 2026 — 174,868 subscribers8 August 2026 — 174,944 subscribers9 August 2026 — 174,985 subscribers10 August 2026 — 174,982 subscribers11 August 2026 — 174,947 subscribers12 August 2026 — 174,941 subscribers14 August 2026 — 175,022 subscribers15 August 2026 — 175,045 subscribers16 August 2026 — 175,444 subscribers17 August 2026 — 175,608 subscribers18 August 2026 — 175,724 subscribers19 August 2026 — 175,825 subscribers20 August 2026 — 175,935 subscribers21 August 2026 — 175,958 subscribers23 August 2026 — 175,948 subscribers24 August 2026 — 176,028 subscribers25 August 2026 — 176,044 subscribers26 August 2026 — 176,051 subscribers27 August 2026 — 176,084 subscribers28 August 2026 — 176,126 subscribers29 August 2026 — 176,129 subscribers30 August 2026 — 176,093 subscribers31 August 2026 — 176,096 subscribers1 September 2026 — 176,119 subscribers2 September 2026 — 176,039 subscribers4 September 2026 — 176,010 subscribers6 September 2026 — 175,949 subscribers10 September 2026 — 175,923 subscribers12 September 2026 — 175,958 subscribers13 September 2026 — 176,028 subscribers15 September 2026 — 175,961 subscribers17 September 2026 — 175,924 subscribers28 September 2026 — 175,638 subscribers5 October 2026 — 175,412 subscribers175,4127 August 20265 October 2026
35 measurements spanning 59 days, net +600. 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 174,614–176,327 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
5 Oct 2026, 00:16175,412-226
28 Sept 2026, 00:37175,638-286
17 Sept 2026, 20:19175,924-37
15 Sept 2026, 16:37175,961-67
13 Sept 2026, 23:41176,028+70
12 Sept 2026, 06:37175,958+35
10 Sept 2026, 02:20175,923-26
6 Sept 2026, 20:15175,949-61
4 Sept 2026, 04:21176,010-29
2 Sept 2026, 19:05176,039-80
1 Sept 2026, 15:55176,119+23
31 Aug 2026, 17:48176,096+3
30 Aug 2026, 18:59176,093-36
29 Aug 2026, 19:13176,129+3
28 Aug 2026, 16:54176,126+42
27 Aug 2026, 16:44176,084+33
26 Aug 2026, 14:04176,051+7
25 Aug 2026, 12:58176,044+16
24 Aug 2026, 15:06176,028+80
23 Aug 2026, 00:38175,948first reading

Engagement

51 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 132 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.5%
avg views ÷ 175,412 subscribers
Avg views / post
41,300
11 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
11
of 51 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 8 October 2026
Posts held51 (28 June 2026 – 8 October 2026)
Views total454,300
Reactions total5,941
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 23:32 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
302
Videos
109
Links
209

Lifetime counters from Telegram’s own channel header, read 8 October 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
1m 18s
Average length
16s

Measured directly from 5 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

34,066 reactions across 51 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤34,066100.0%

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 51 of the 51 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 34,066 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 28 June 2026 to 8 October 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
1,127
across the posts below
Posts paid on
46
of 51 we hold a reading for · 90%
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 51 most recent posts we hold for this entry, published 28 June 2026 to 8 October 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

8 Oct 2026, 15:43 UTC≈12,000 views285 reactions22 Starsread 8 October 2026
Photo

Почему мы боимся не того Вопрос из викторины выше в 1974 году психологи задали студентам Орегонского университета. По статистике тех лет инсульт уносил почти в 2 раза больше жизней, чем все несчастные случаи вместе взятые. Только 20% студентов ответили верно. В среднем они в разы переоценили, как часто люди умирают от несчастных случаев. Если ты выбрал первый вариант, ты ответил в точности как средний студент 1974 г…

❤285

Signed Biomachine Research

8 Oct 2026, 13:53 UTC≈15,800 views91 reactions1 Starread 8 October 2026
Poll

Что уносило больше жизней в США в начале 1970-х: инсульт или все несчастные случаи вместе взятые (аварии, падения, пожары, утопления и прочее)?

  1. Несчастные случаи11%
  2. Примерно одинаково18%
  3. Инсульт71%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤91

4 Oct 2026, 08:21 UTC≈36,200 views575 reactionsread 8 October 2026
Photo

Этого человека не существует Глянь на эти профили: раз, два, три. Очевидный нейрослоп, правда? Кажется, что на такое никто не купится. Только под этими роликами сотни тысяч просмотров и комментарии от живых людей, которые благодарят за советы. И страшнее всего то, что нейрослоп лезет в медицину. За этим стоит индустрия Летом 2026 года BBC провели исследование контента на португальском языке в YouTube и нашли 29 к…

❤575

Signed Biomachine Research

29 Sept 2026, 11:15 UTC≈43,800 views557 reactions1 Starread 8 October 2026
Photo

Особенно буду скучать по четвероногим участникам и коровьим лепехам на дорогах 😪😁

❤557

29 Sept 2026, 10:42 UTC≈41,900 views680 reactions6 Starsread 8 October 2026
Photo

Вот и подошел к концу наш первый тренировочный лагерь Это была незабываемая неделя Я впервые посетил Дагестан, впервые соприкоснулся с его природой, прекрасными видами, свежим горным воздухом и гостеприимством местных жителей Этот регион еще не затерли до дыр туристы, ты чувствуешь себя свободно, просторно, как у бабушки в деревне Уже как пару дней вернулся в Москву, но все еще не могу переключиться) за неделю с…

❤680

22 Sept 2026, 13:20 UTC≈46,700 views733 reactions16 Starsread 8 October 2026
Video message

Video message, posted without a caption

❤733

17 Sept 2026, 16:50 UTC≈66,100 views678 reactions2 Starsread 8 October 2026
Photo

Пост для будущих мам (и тех, кто о них заботится) Начнём с главного: беременным женщинам нужно заниматься физической активностью. Силовые и аэробные тренировки — must have. И мы это пишем не только потому, что вся наша команда — фанаты силового тренинга. Это прямая рекомендация беременным из гайдлайна ВОЗ по физической активности от 2020 года: ✔️Уделять не менее 150 минут в неделю умеренной физической активности ✔…

❤678

Signed Biomachine Research

14 Sept 2026, 08:33 UTC≈51,700 views544 reactions8 Starsread 8 October 2026
Video message

Video message, posted without a caption

❤544

14 Sept 2026, 08:32 UTC≈46,900 views468 reactions8 Starsread 3 October 2026
Photo

Я завершил съемки Релиз «Матрицы Здоровья» неотвратимо приближается Но, учитывая, как, зараза, все это долго тянется, мне стоит написать в духе анонсов на телеканале НТВ, которые крутят месяцами и каждый раз в конце тизера…. …..СКОРО….

❤468

12 Sept 2026, 16:37 UTC≈47,600 views592 reactionsread 29 September 2026
Photo

Как сон связан с жиром на твоих боках Этим постом завершим нашу трилогию про время, еду и сон. Мы уже узнали, как время приёма пищи влияет на твой вес и на твой сон. А теперь взглянем, как сон влияет на лишний вес. Здесь связь железная: при недосыпе люди съедают на 253 ккал в день больше. Расход энергии при этом не меняется. В 14-дневном эксперименте людям давали спать то 8,5 часа, то 5,5 и наблюдали за их питание…

❤592

Signed Biomachine Research

8 Sept 2026, 14:59 UTC≈56,400 views471 reactions13 Starsread 29 September 2026
Photo

Обязательно ли переставать есть за 2-3 часа до сна? Как еда перед сном влияет на массу тела, мы уже выяснили. Но мы получили много комментариев с жестким тезисом о том, что еда вообще-то мешает спать. Давайте разбираться, потому что научный консенсус здесь не такой однозначный как в комментариях 😊 Наблюдения за 793 молодыми людьми показали, что ужин меньше чем за 3 часа до сна повышал шанс ночных пробуждений приме…

❤471

Showing the 12 most recent of 51 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 2 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
2 September 2026

Polls

The 5 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.

8 Oct 2026, 13:53 UTCAnonymous Quiz6,960 voters approx.

Что уносило больше жизней в США в начале 1970-х: инсульт или все несчастные случаи вместе взятые (аварии, падения, пожары, утопления и прочее)?

  1. Несчастные случаи11%
  2. Примерно одинаково18%
  3. Инсульт71%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

17 Aug 2026, 12:57 UTCAnonymous Quiz8,490 voters approx.

Ну что, цикл про коллаген завершён! Давайте проверим вашу внимательность)

  1. Коллаген работает, исследований по нему полно9%
  2. Учёные пока не докопали, но на всякий случай пить стоит8%
  3. Это просто дорогой белок, обычная еда справится не хуже82%
  4. Коллаген вреден, лучше не трогать2%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

11 Aug 2026, 10:25 UTCAnonymous Poll12,500 voters approx.

Принимаете коллаген?

  1. Да, регулярно7%
  2. Пробовал для интереса 1-2 раза19%
  3. Нет, но если окажется полезным — попробую37%
  4. Не принимаю и не планирую начать38%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

29 Jul 2026, 16:54 UTCAnonymous Poll12,000 voters approx.

Что ты чувствуешь, когда ты под КРЕАТИНОМ?

  1. Силовая и объёмы заметно подросли22%
  2. Вроде налились мышцы25%
  3. Вообще ничего не заметил28%
  4. Ещё не пробовал27%
  5. Я уже на 90% состою из креатина11%

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.

18 Jul 2026, 09:08 UTCAnonymous Poll12,100 voters approx.

Пьёшь креатин?

  1. Да, постоянно40%
  2. Пил раньше, забросил25%
  3. Нет, но думаю начать17%
  4. Нет и не собираюсь18%

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 51 most recent posts we hold, published 28 June 2026 to 8 October 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

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.

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.

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.

Roman Ovcharóv
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#1
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#2
Семенцев - Биохакинг
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#3
Rozetked
@rozetked · 666,897
#4
ТОПЛЕС
@toplesofficial · 505,722
#5
Ефименко про биохакинг
@efimen_colife · 4,317
#6
Оверкомер
@discipline365 · 9,961
#7
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#8
Арсен Маркарян Официальный
@arsenmarkarian · 157,164
#9
Dzari
@DrDzari · 265,745
#10
Комфортный ЗОЖ
@matveylive · 6,199
#11
N
@iamdilettante · 917
#12
Алексей Шевцов
@jolybells · 358,399
#13
Ivan Limarev / Merlin AI
@LimarevIvan · 12,212
#14
Кладбище Биохакеров
@fuckbiohacking · 37,190
#15
Глеб Соломин 🚀 24.05.2025
@gleb_solomin · 60,150
#16
Антонов такой Антонов
@auantonov · 321,308
#17
theolefirenko
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#18
Александр Степаненко
@mylifeandsport · 2,641
#19
Sokolovskiy
@sokolay · 109,367
#20
Эксплойт
@exploitex · 2,048,192
#21
Ветров Консультант
@vetrovconsultant · 9,179
#22
GRAND
@q_grand · 30,115
#23
Нейротипология
@misliglubzhe · 10,569
#24
Артемий Лебедев
@temalebedev · 969,615
#25
Иван Халилов ДЛЯ СВОИХ🔥
@ivankhalilov · 76,752
#26
Михаил Гребенюк
@grebenukm · 256,306
#27
Двач
@dvachannel · 942,201
#28
Бэкдор
@whackdoor · 1,586,239
#29
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,869
#30
Блюм | Академия здоровья
@blumcentre · 4,446
#31
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,681,490
#32
ВВШ ВЕЩАЕТ 🧩
@strong_mvp · 4,926
#33
СТАС БОМБИТ
@ikakprosto · 325,358
#34
ЕСАКОВ | Искусство убеждать
@esakovconsulting · 1,267
#35
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,109,117
#36
Максим БАДовик | здоровье без хаоса
@badovik · 1,647
#37
Socrates
@kazbeksocrates · 3,779
#38
Lina_nosugar
@lina_nosugar · 247
#39
Дудь
@yurydud · 857,618
#40
Хулиномика
@hoolinomics · 99,228
#41
БИОХАКИНГ И НООТРОПЫ | АНДРЕЙ АРБЕНИН 🅰️
@andreyarbenin · 24,683
#42
Маргулан Сейсембай
@MargulanSeissembai · 208,989
#43
Loris cracks the Bell.
@polyy · 4,853
#44
Код.ру
@d_code · 405,440
#45
Влад Дьяченко
@v1add1ak01 · 1,509
#46
CryptoScamm
@crypt0scamm · 60,839
#47
MarketTwits
@markettwits · 337,306
#48
Oleg Torbosov
@TorbosovLife · 107,390
#49
Егор Настоящий ТЭГ
@son_godd · 79
#50
Павел Тулюпа
@tulupavel_fit · 70,654
#51
Простая экономика
@prostoecon · 298,736
#52
Crypto Headlines
@crypto_hd · 131,837
#53
GRAND STYLE
@f_grand · 7,712
#54
MyGap
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#55
Алекс о Крипте
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mad
@daysmad · 7
#57
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Dagon
@dagon_official · 25,635
#59
Биохакинг? Ну типа
@onlybiohuckingshit · 1,350
#60
INSTARDING
@INSTARDING · 95,497
#61
ARRRTLIFE
@arrrtlife · 2,794
#62
Игорь Войтенко
@realingvarvoitenko · 29,508
#63
Осознанная Меркантильность | Антон Назаров
@m0rtymerr_channel · 80,609
#64
ЧД
@che_d_e · 37,478
#65
The Kliushin Insight
@The_Kliushin_Insight · 763
#66
DOGS Community
@dogs · 6,873,004
#67
Notcoin Community
@notcoin · 8,358,639
#68
NN
@naebnet · 2,201,517
#69
Вестник Шевцова
@jolynews · 207,914
#70
Новости Walt (ранее Кошелёк)
@walt_news_cis · 1,108,788
#71
valentin later
@LaterWeShallSee · 14,413
#72
Crypto Falcon
@falconinvestors · 82,437
#73
Пекарня
@pekagame · 1,085,570
#74
Maloletoff | Crypto-Angel
@maloletoffcrypto · 45,281
#75
Nix
@nixtalk · 258,853
#76
ТРУСЫ РАЙЗА
@raiznews · 513,977
#77

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 · 20,290
Telegram ranks this channel #1 of 64 here — alongside 63 others — read 29 September 2026
Roman Ovcharóv
@ovcharovblog · 29,774
Telegram ranks this channel #1 of 64 here — alongside 63 others — read 7 September 2026
Александр Добромиль your fit
@Dobromil_yourfit · 35,945
Telegram ranks this channel #1 of 74 here — alongside 73 others — read 1 September 2026
Простые Мысли
@prostyemisli · 47,980
Telegram ranks this channel #2 of 60 here — alongside 59 others — read 8 September 2026
Денис Борисов
@sila · 103,494
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 8 September 2026
Умный фитнес
@AlexeyTrainer · 32,275
Telegram ranks this channel #4 of 70 here — alongside 69 others — read 5 September 2026
Пенкин Егор - Здоровое будущее
@fit_therapy · 79,493
Telegram ranks this channel #6 of 91 here — alongside 90 others — read 18 August 2026
Ноотропы и Биохакинг | RISE
@mind_rise · 39,066
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 15 September 2026
Dagon
@dagon_official · 25,635
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 13 September 2026
Руслан Масгутов
@rusmasgutov · 143,637
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 13 August 2026
Просвещенный
@prosveshenniychannel · 26,856
Telegram ranks this channel #11 of 69 here — alongside 68 others — read 12 September 2026
Денис Семенихин
@DenisSemenikhin · 34,316
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 8 September 2026
Альберт
@robiyolo · 48,229
Telegram ranks this channel #12 of 70 here — alongside 69 others — read 26 August 2026
ЧД
@che_d_e · 37,478
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 31 August 2026
Глеб Соломин 🚀 24.05.2025
@gleb_solomin · 60,150
Telegram ranks this channel #16 of 77 here — alongside 76 others — read 22 August 2026
CleverMind
@CleverMindRu_Official · 28,763
Telegram ranks this channel #17 of 55 here — alongside 54 others — read 15 September 2026
Тёмная комната | Эриксон
@erik_hard · 44,553
Telegram ranks this channel #18 of 73 here — alongside 72 others — read 30 August 2026
Максим Вердикт
@verdiktt · 67,534
Telegram ranks this channel #20 of 81 here — alongside 80 others — read 20 August 2026
theolefirenko
@theolefirenkooo · 65,913
Telegram ranks this channel #20 of 70 here — alongside 69 others — read 20 August 2026
БИОХАКИНГ И НООТРОПЫ | АНДРЕЙ АРБЕНИН 🅰️
@andreyarbenin · 24,683
Telegram ranks this channel #23 of 68 here — alongside 67 others — read 15 September 2026
Dzari
@DrDzari · 265,745
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 10 August 2026
Иван Халилов ДЛЯ СВОИХ🔥
@ivankhalilov · 76,752
Telegram ranks this channel #25 of 63 here — alongside 62 others — read 19 August 2026
Арсен Маркарян Официальный
@arsenmarkarian · 157,164
Telegram ranks this channel #25 of 70 here — alongside 69 others — read 12 August 2026
Биохакинг | Саморазвитие
@bioarcana · 45,316
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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“BIOMACHINE” (@bmchn), 175,412 subscribers as measured 5 October 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.