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 97% 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
33 measurements spanning 56 days, net +593. 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 28,043–28,814 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
2 Oct 2026, 11:19
28,725
+130
16 Sept 2026, 11:40
28,595
+24
14 Sept 2026, 17:00
28,571
+6
13 Sept 2026, 01:58
28,565
+23
11 Sept 2026, 06:22
28,542
+15
8 Sept 2026, 11:21
28,527
+41
5 Sept 2026, 06:58
28,486
+15
3 Sept 2026, 14:37
28,471
+26
2 Sept 2026, 06:22
28,445
+8
1 Sept 2026, 04:35
28,437
+31
31 Aug 2026, 01:45
28,406
+26
30 Aug 2026, 03:17
28,380
+30
29 Aug 2026, 01:53
28,350
+17
28 Aug 2026, 00:46
28,333
+8
27 Aug 2026, 04:04
28,325
+5
26 Aug 2026, 00:56
28,320
+19
25 Aug 2026, 01:57
28,301
+14
23 Aug 2026, 14:36
28,287
+6
21 Aug 2026, 23:58
28,281
-11
20 Aug 2026, 16:29
28,292
first reading
Engagement
31 posts held, back to 22 May 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 61 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
43.2%
avg views ÷ 28,725 subscribers
Avg views / post
12,400
7 posts measured
Reaction rate
2.78%
reactions ÷ views · ER floor
Posts in window
7
of 31 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 25 September 2026
Posts held
31 (22 May 2026 – 25 September 2026)
Views total
86,770
Reactions total
2,416
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 11:57 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
173
Videos
3
Links
233
Lifetime counters from Telegram’s own channel header, read 2 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.
Reaction mix
11,964 reactions across 30 posts, in 11 distinct kinds. The most used accounts for 22.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😈
2,653
22.2%
👍
1,584
13.2%
😁
1,542
12.9%
❤
1,401
11.7%
🤔
1,262
10.5%
🔥
1,009
8.43%
🗿
986
8.24%
💊
858
7.17%
🌭
494
4.13%
👎
99
0.827%
🤯
76
0.635%
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 30 of the 31 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 11,964 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 22 May 2026 to 25 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
1,071
across the posts below
Posts paid on
23
of 30 we hold a reading for · 77%
Most on one post
290
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CleverMindRu_Official. 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 31 most recent posts we hold for this entry, published 22 May 2026 to 25 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.
Заметил интересный вопрос под последним постом на ютубе😏
Зачем вообще пить что-то и разгонять мозг?
И вроде похожие посты были)
Но я смотрю многим нравятся именно авторские мысли, поэтому чаще вхожу «в контакт», не через стекло публикаций как обычно😇
Но если такое не норм - можешь задизлайкать с разных акк😅
Авторский: Почему я тренирую не только мозг
Когда я создавал CleverMind, основной интерес сводился к прокачке мозга.
Но чем дольше я всем этим занимаюсь, тем меньше мне нравится сама идея отдельно «прокачивать мозг».
Это же вроде бы логично, мозг и тело как бы вместе живут, вместе с кровообращением, желудком и мышцами. Серотонин есть и в кишечнике, и в мозге. Креатин про мышцы, мозг и энергию. Все очень сильно пер…
Как я делал формулу привлекательности эффективности человека
Пока монтирую – расскажу про свою многофакторную систему оценки человека😎
Сейчас я уже думаю, что это не сколько про привлекательность, сколько про общую эффективность человека в баллах из 10.
Телосложение, EQ. харизма, эмпатия, самоконтроль, гигиена, интеллект... Это все ТОЧНО нужно тебе для здоровья, продолжительности жизни, счастья и т.п. То есть смысл…
Что мужчины и женщины замечают друг в друге первым
Продолжаем цикл тем про привлекательность. Потом будет про НЗТ и наши новые добавки, не переживай. Я не уйду окончательно в луксмаксинг))
🤓И привлекательность иногда изучают через тепловые карты.
Ученые надевают на тебя очки и смотрят eye-tracking, куда именно ты пялишься при взгляде на другого человека)
Сейчас это не чисто «про привлекательность», а про одежду, сти…
Кто любит графики и рисунки из публикаций – точно оцените)
Тут про эстрадиол, тестостерон и кортизол и как они могут изменить твои взгляды, влечение к тебе и от тебя даже за 1 день!
https://www.youtube.com/watch?v=cXwQAEu01wU
П.с. Оч надеюсь на ваше чувство юмора в отношении одной вставки😇
Почему сексуальность стала стигмой?
🧩 В начале крупицы пазла:
1. Недавно был пост про то, что средний уровень тестостерона у мужчин стал в 2 раза ниже за последние 50 лет.
2. Позавчера пост, что более высокий тест заставляет тебя менять предпочтения в выборе женщины (в сторону более привлекательных).
3. В некоторых других публикациях так или иначе мелькают похожие идеи (1, 2).
Ниже цитаты
«Мужчины, которые считали …
Тестостерон меняет то, какие женщины тебе нравятся (и мужчины)
Попалось провокационное исследование, будет в новом выпуске о гормонах.
Отрывок получился небольшим, поэтому под него захотел сделать пост подробнее😏
Вообще данных довольно много, что более высокий тестостерон немного форматирует твои взгляды на женщин. И идет смещение в сторону феминности / женственности.
Но тут в публикации мужчинам подсунули на оценк…
Авторский: про детей и оптимизацию жизни
Недавно у меня родился второй сын и есть некоторые мысли, которые могут быть полезны тебе на стыке биохакинга, семейной и личной жизни, вопросов саморазвития.
Тебя это может коснуться в будущем, или уже сейчас)
Как оптимизировать жизнь, когда дома шум, подгузники, коляски, а ты все так же хочешь держать себя в форме, гулять, повышать скилы по работе и «расти» как и раньше.
…
Овуляция – это как если бы твой тестостерон взлетал в 5 раз на 4 дня)
Монтирую про гормоны и то, как они даже за один день меняют привлекательность👻.
Конкретно тут рисунок про менструальные циклы, эстрадиол и вероятность зачатия.
9% против 0-1-2-4%.
🖤Что это за пик?
- В этот пик эстрадиол у женщины примерно в 2-5 раз выше, чем в другие дни.
- В этот пик выше привлекательность.
При сравнении композитного фото лиц де…
Вес и пропорции - №1 для привлекательности (не душа🤧)
Продолжаем тред о привлекательности)
WHR | SWR + ИМТ : Эти 3 сокращения дают наибольший эффект для внешнего вида.
Вы, наверно, слышали про Эффект Ореола, когда более симпатичные люди автоматически кажутся нам умнее и добрее.
Недавно вы сами голосовали в опросах, где вычисляли общую и сексуальную привлекательность.
В этих опросах в топах было телосложение💪.
Но ч…
Showing the 12 most recent of 31 posts we hold for @CleverMindRu_Official. 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
@CleverMindRu_Official edited 1 post 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
28 August 2026
Most recent edit
28 August 2026
Polls
The 4 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 294%, 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.
The shares total 319%, 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.
The shares total 126%, 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.
The shares total 298%, 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.
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 31 most recent posts we hold, published 22 May 2026 to 25 September 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.
Mentions
Named by 2 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.
БИОХАКИНГ И НООТРОПЫ | АНДРЕЙ АРБЕНИН 🅰️ @andreyarbenin · 24,574#1
INSTRBY - про инструмент и полезные вещи @instrby_club · 6,022#55
Read from Telegram’s recommendation API, most recently 15 September 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.
БИОХАКИНГ И НООТРОПЫ | АНДРЕЙ АРБЕНИН 🅰️ @andreyarbenin · 24,574 Telegram ranks this channel #5 of 68 here — alongside 67 others — read 15 September 2026
Ноотропы и Биохакинг | RISE @mind_rise · 39,138 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 15 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“CleverMind” (@CleverMindRu_Official), 28,725 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/CleverMindRu_Official.
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.