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 50% 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
44 measurements spanning 77 days, net +1,260. 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 21,582–23,545 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)
Subscribers
Change
21 Oct 2026, 18:08
23,276
-6
20 Oct 2026, 15:18
23,282
+8
19 Oct 2026, 12:09
23,274
-6
18 Oct 2026, 13:58
23,280
+8
17 Oct 2026, 10:45
23,272
+5
16 Oct 2026, 13:29
23,267
+10
15 Oct 2026, 15:19
23,257
-19
14 Oct 2026, 17:48
23,276
-42
13 Oct 2026, 08:29
23,318
+23
9 Oct 2026, 03:37
23,295
+124
4 Oct 2026, 15:01
23,171
+315
26 Sept 2026, 12:59
22,856
+877
19 Sept 2026, 10:56
21,979
+28
16 Sept 2026, 23:37
21,951
+8
15 Sept 2026, 03:18
21,943
+21
13 Sept 2026, 11:40
21,922
+29
11 Sept 2026, 15:17
21,893
+57
8 Sept 2026, 23:17
21,836
+28
5 Sept 2026, 14:19
21,808
-33
3 Sept 2026, 11:59
21,841
first reading
Engagement
31 posts held, back to 30 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 92 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.9%
avg views ÷ 23,276 subscribers
Avg views / post
7,440
6 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
6
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 15 October 2026
Posts held
31 (30 June 2025 – 15 October 2026)
Views total
44,610
Reactions total
807
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Oct 2026, 07:49 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.
Reaction mix
8,698 reactions across 30 posts, in 34 distinct kinds. The most used accounts for 50.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,429
50.9%
🔥
2,126
24.4%
👍
1,659
19.1%
❤🔥
116
1.33%
💯
107
1.23%
✍
56
0.644%
🤔
38
0.437%
👏
34
0.391%
🥰
20
0.23%
👎
17
0.195%
👌
14
0.161%
🆒
10
0.115%
👀
9
0.103%
🤝
8
0.092%
😁
5
0.057%
😢
5
0.057%
😭
5
0.057%
😱
5
0.057%
🤯
5
0.057%
🙏
4
0.046%
14 further kinds
26
0.299%
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 31 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 8,698 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 30 June 2025 to 15 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.
Advertising
Ad load
3.23%
1 of 31 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
11,500
over 1 measured post
Median views · rest
16,700
over 30 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 31 most recent posts we hold, published 30 June 2025 to 15 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Напоминаю, что сегодня в 18:30 состоится мой стрим [1] про дофаминовый детокс. И перед его началом хочу провести небольшой опрос (он в посте выше). Пробовали ли вы какое-то время – неделю, месяц или больше – прожить без телефонов или без тех или иных соцсетей? И если пробовали, то каков был результат? Выберите один из ответов, а на стриме мы посмотрим, что получилось и разберем результаты.
Ссылки:
[1] - https://you…
Продолжение поста про то, что дофаминовый детокс не работает
Из-за постоянной стимуляции постами, лайками и уведомлениями именно это состояние принимается за новую норму, и все, что до нее не дотягивает, начинает казаться скучным. С другой стороны, мозг становится все чувствительнее к сигналам, которые обещают награду – то есть «пилик-пилик» от уведомлений, бабла с числом реакций или даже просто вида лежащего на стол…
Дофаминовый детокс – одна из самых модных тем последних лет. Отключи телефон, уезжай в лес, неделю не заходи в соцсети – и твоя дофаминовая система перезагрузится, а обычная жизнь снова станет яркой и интересной. Под эти обещания продают видео, лекции и даже лагеря.
Например, калифорнийский лагерь для взрослых Camp Grounded, где под запретом были не только телефоны и ноутбуки, но даже настоящие имена. Организаторы о…
Продолжение поста про превращение неприятных дел в приятные
3. Превратите рутину в проект
Вы решили каждый день гулять, чтобы набирать необходимое количество шагов. Но с каждым днем заставить себя выйти на улицу все труднее, потому что ходить по одному и тому же маршруту ужасно скучно. Если вам нравится фотографировать, выберите тему на неделю: необычные двери, деревья, вывески, граффити, тени, встречные собаки итд. …
Мы много раз говорили о том, что мы, люди – существа, эволюционно запрограммированные стремиться выполнять приятные нам вещи и избегать неприятных вещей. И это основа основ работы нашего мозга, нашего поведения, наших решений и так далее. Такое устройство мозга помогало многим поколениям наших предков успешно выживать, оставлять потомство и развиваться.
Но проблема в том, что в обычной жизни для того, чтобы добивать…
Важнейшее качество, определяющее наш самоконтроль, – умение отказываться от сиюминутного удовольствия ради будущей большей выгоды. А самоконтроль, в свою очередь, – один из наиболее мощных предикторов успеха в жизни. Во множестве исследований, например вот в этом [1], на тысячу человек, способность лучше контролировать свои импульсы в детстве коррелировала с лучшим здоровьем, лучшим финансовым положением и меньшим ри…
Продолжение поста про максимальную эффективность каждого часа
В таком состоянии работа над сложными задачами становится крайне неэффективной. Вместо того чтобы думать над их решением, вы боретесь со своей лимбической системой, с усталостью, с рассеянностью. Кроме того, ваши когнитивные возможности снижены, так что вы просто хуже думаете. То есть если взять 20 минут работы в таком состоянии и сравнить их с 20 минутами…
Что-то давно у нас не было постов о том, как использовать знания, как функционирует мозг, для увеличения продуктивности работы. А у нас меж тем третье сентября, то есть все плюс-минус вернулись из отпусков и погрузились в рабочие будни.
Одна из важнейших определяющих черт работы нашего мозга заключается в том, что у нас человеческий мозг, а не мозг робота. Это робот может с одинаковой продуктивностью работать восемь…
Продолжение поста с рекомендациями, как сократить ребенку экранное время
8. Никогда – никогда! – не давайте телефон для успокоения, особенно маленькому ребенку. Такая практика очень быстро приведет к тому, что а) он начнет требовать экран при любом дискомфорте, б) не научится самостоятельно регулировать эмоции и в) начнет испытывать дикий дискомфорт от отсутствия гаджета. Отвлекайте, обнимайте, разговаривайте, помога…
У меня на канале вышло уже два стрима [1], [2], посвященных тому, как гаджеты вообще и социальные сети в частности влияют на развитие мозга детей. Влияние это, как вы можете догадаться, негативное и связано оно главным образом с воздействием на лимбическую систему, отвечающую, в частности, за обработку сигналов об удовольствии и неудовольствии.
Социальные сети и гаджеты – источники быстрого дофамина и эндорфинов, дл…
Дорогие читатели этого канала, сегодня редкий случай, когда я публикую пост, посвященный вопросам силы воли, не здесь, а в основном канале. Потому что в нем нет практических рекомендаций – ну или почти нет. Он скорее посвящен наблюдениям за происходящим. Если вам интересно, вот ссылки [1], [2] на пост в основном канале (он длинный, так что разбит на две части).
Ссылки:
[1] - https://t.me/kamenschiki/2387
[2] - http…
❤145✍13👏9🤔4
Showing the 12 most recent of 31 posts we hold for @full_brains. 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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@full_brains named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@yakutenko_will_power_bot named in 22 posts, 8 August 2026 – 18 August 2026
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 22 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.
Безвольные каменщики @kamenschiki · 56,507 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 23 August 2026
Александр Панчин @ScienceInquisition · 49,245 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 25 August 2026
Федиатрия @fediatrix · 54,028 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 24 August 2026
Дубынин о мозге 🧠 @dubininvaofficial · 44,800 Telegram ranks this channel #49 of 97 here — alongside 96 others — read 28 August 2026
«СУТЬ ВЕЩЕЙ» | Центр интеллектуальных практик Андрея Курпатова @myshlenie_kurpatov · 42,979 Telegram ranks this channel #80 of 89 here — alongside 88 others — read 28 August 2026
English from London @thegap_club · 36,611 Telegram ranks this channel #88 of 92 here — alongside 91 others — read 2 September 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Якутенко, Ирина Игоревна(ru.wikipedia.org) “…/t.me/s/kamenschiki |url-status=live }} (посвящён событиям науки и околонауки) и «Мозг на полную»{{Cite web |url=https://t.me/s/full_brains…” read 13 September 2026
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 21 October 2026 — this
entry's latest reading, not the date you are reading this.
“Мозг на полную” (@full_brains), 23,276 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/full_brains.
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.