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 98% 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 98 days, net -275. 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 20,881–21,239 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:59
20,922
-9
10 Nov 2026, 00:59
20,931
-10
8 Nov 2026, 13:10
20,941
-3
7 Nov 2026, 05:30
20,944
-3
6 Nov 2026, 06:16
20,947
-2
5 Nov 2026, 03:24
20,949
-2
4 Nov 2026, 02:59
20,951
-1
2 Nov 2026, 23:28
20,952
-5
2 Nov 2026, 00:45
20,957
+1
31 Oct 2026, 21:30
20,956
+2
31 Oct 2026, 00:05
20,954
-3
29 Oct 2026, 21:28
20,957
-5
28 Oct 2026, 17:59
20,962
-2
27 Oct 2026, 16:31
20,964
-8
26 Oct 2026, 15:55
20,972
-10
25 Oct 2026, 19:26
20,982
-5
23 Oct 2026, 21:05
20,987
-5
22 Oct 2026, 22:56
20,992
-14
21 Oct 2026, 22:41
21,006
-11
20 Oct 2026, 19:09
21,017
first reading
Engagement
91 posts held, back to 22 July 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 81 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.90%
avg views ÷ 20,922 subscribers
Avg views / post
1,650
24 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
24
of 91 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 13 November 2026
Posts held
91 (22 July 2026 – 13 November 2026)
Views total
39,690
Reactions total
625
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 16:34 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
≈3,490
Videos
≈4
Links
≈2,520
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
2,217 reactions across 91 posts, in 20 distinct kinds. The most used accounts for 53.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,188
53.6%
😁
207
9.34%
👍
199
8.98%
💔
141
6.36%
🔥
121
5.46%
😢
73
3.29%
🤯
59
2.66%
🤩
57
2.57%
🕊
41
1.85%
😱
41
1.85%
🤔
18
0.812%
🗿
16
0.722%
👎
15
0.677%
🤬
13
0.586%
😍
11
0.496%
👾
6
0.271%
🐳
4
0.18%
🤮
4
0.18%
🤷♂
2
0.09%
🙈
1
0.045%
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 91 of the 91 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 2,217 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 91 most recent posts we hold, published 22 July 2026 to 13 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 24 posts held from the last 30 days (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).
Ментальные проблемы влияют не только на самочувствие, но и на кошелек:
😢 19 исследований с почти 375 тысячами участников подтверждают, что если у человека начинается депрессия, его риск стать безработным возрастает почти в 1,5 раза.
😢 Люди с ментальными расстройствами вынуждены платить за медикаменты, приемы психиатра и сессии психотерапии.
😢 Финансовую нагрузку может добавить недостаток энергии. Например, из-за д…
Жизнь превращается в череду задач, новостей, сообщений и развлечений. Но делает ли это ее более содержательной?
Почему рабочий день тянется бесконечно, а выходные пролетают мгновенно? Как мозг воспринимает время и оценивает, сколько длятся события?
Разберемся в нашей подборке, а заодно узнаем об альтернативном взгляде на установку «мне некогда» и об особенностях российского подхода к тайм-менеджменту.
Изучайте спи…
О психотерапии в государственных медучреждениях ходят легенды.
Это может удивить, но почти 70% россиян, посещавших психотерапевта, обращались преимущественно в госклиники и в большинстве случаев оставались довольны приемом.
Расскажите о своем опыте. Сложно ли было попасть к специалисту? Как изменилось ваше состояние и отношение к психотерапии по ОМС?
Ждем ваших историй: https://t-j.ru/m-tg/psychotherapy-v-gosklini…
Почему мы не чувствуем себя счастливыми, даже когда все вроде бы хорошо, и правда ли, что счастье — это навык, а не везение?
В этом выпуске подкаста «Прием» разбираемся, что мы знаем о счастье и что из этого можно применить к жизни прямо сейчас.
Найти ответы нам помогла журналистка и писательница, доктор философских наук Гульнара Краснова. Она объяснила, сколько счастья предопределено для нас генетически и что поло…
Умерла Марша Линехан — психолог и автор теории диалектической поведенческой терапии.
Линехан изменила подход к помощи людям с пограничным расстройством личности и высоким риском суицида. В 1980-х годах она разработала диалектическую поведенческую терапию (ДПТ, DBT) — метод, который сочетает признание и принятие переживаний человека с работой над изменением поведения, причиняющего вред ему самому или окружающим.
В э…
💌 «Я никогда такого не испытывал ни к кому»: новое письмо психологу
Наш читатель переживает сильные эмоции и с трудом понимает свою девушку:
Каждый день списывались с ней. И так четыре месяца. Встретились в последний раз, гуляли как обычно. Предложил съездить отдохнуть на озеро. Еще она крайне не любила фотографироваться, я не удержался и сфотографировал.
На следующий день я узнал, что ее обидел. Чем — я так и не …
Не всякий болезненный конфликт — абьюз. Но если рядом с близким человеком вы все чаще боитесь, сомневаетесь в себе или отказываетесь от привычной жизни, на это важно своевременно обратить внимание.
Собрали материалы о том, как распознать насилие в отношениях, найти поддержку и понять, не допускаете ли вы сами перегибов в адрес партнера:
🔴Кто такой психологический абьюзер и как ему противостоять
🔴Как общаться с ма…
Давайте посидим в тишине и позанимаемся своими делами.
Так можно было бы кратко описать феномен мягкого общения. Тренд появился среди зумеров: они чаще предпочитают проводить время вместе, но не постоянно разговаривать, а заниматься чем-то. Например, собирать «Лего», вязать, гулять по музею. Или просто сидеть в кафе и читать книги — каждый свою.
На самом деле, это не новое явление. Разбираемся, в чем его польза …
Мы все чаще выбираем партнера по уровню дохода и образования. Браки, где оба супруга хорошо зарабатывают, — самые устойчивые. По крайней мере, так считают некоторые исследователи.
В этом выпуске подкаста «В курсе рубля» социолог Жанна Чернова объясняет, как семейные отношения воспроизводят социальное неравенство, а исследовательница счастья Гульнара Краснова рассказывает о нематериальных качествах, влияющих на качес…
Делаем хорошо, но внутренний критик сегодня в составе жюри «Оскара».
#вы_в_порядке
😁44❤19😢2🔥1
Showing the 12 most recent of 91 posts we hold for @t_dopamine. 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.
Posts edited after publishing
@t_dopamine 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
24 August 2026
Most recent edit
1 September 2026
Posts recorded as deleted after publishing
We recorded 1 post on @t_dopamine 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
6 November 2026
Most recent seen missing
6 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
1
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
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.
Read from Telegram’s recommendation API, most recently 24 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.
З—Ж @t_zdorov · 19,360 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 2 October 2026
Учебник Т—Ж @t_uchebnik · 57,562 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 22 August 2026
Т—Ж @t_jrnl · 98,051 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 16 August 2026
Т—Ж Инвестник @investnique · 36,353 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 1 September 2026
Йод | Лайфхакер @lh_health · 22,577 Telegram ranks this channel #15 of 95 here — alongside 94 others — read 19 September 2026
Дофамин | Лайфхакер @pofixil · 25,004 Telegram ranks this channel #17 of 95 here — alongside 94 others — read 14 September 2026
Купрум @tolkosprosit · 42,773 Telegram ranks this channel #18 of 95 here — alongside 94 others — read 28 August 2026
Т—Ж Чемодан @t_chemodan · 51,569 Telegram ranks this channel #21 of 91 here — alongside 90 others — read 24 August 2026
Рецепты Лайфхакера @lh_eda · 38,361 Telegram ranks this channel #26 of 93 here — alongside 92 others — read 31 August 2026
Alter @psyalter_ru · 26,504 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 11 September 2026
Город @t_gorod · 67,900 Telegram ranks this channel #43 of 93 here — alongside 92 others — read 20 August 2026
Работа в медиапроектах Т-Банка @tj_collega · 31,955 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 5 September 2026
This channel appears in 12 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Т—Ж Мозг” (@t_dopamine), 20,922 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/t_dopamine.
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.