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Channel

Station «FeelGood»

@station_feelgood

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

13,285subscribers

+13 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001214528457
TypeChannel
Username@station_feelgood
Created25 March 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/station_feelgood

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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

13,23513,35313,2946 August 2026 — 13,272 subscribers6 August 2026 — 13,272 subscribers7 August 2026 — 13,271 subscribers8 August 2026 — 13,265 subscribers9 August 2026 — 13,260 subscribers10 August 2026 — 13,258 subscribers11 August 2026 — 13,259 subscribers12 August 2026 — 13,258 subscribers13 August 2026 — 13,255 subscribers14 August 2026 — 13,247 subscribers16 August 2026 — 13,245 subscribers17 August 2026 — 13,239 subscribers19 August 2026 — 13,238 subscribers20 August 2026 — 13,235 subscribers22 August 2026 — 13,325 subscribers23 August 2026 — 13,335 subscribers25 August 2026 — 13,353 subscribers26 August 2026 — 13,346 subscribers27 August 2026 — 13,342 subscribers28 August 2026 — 13,343 subscribers30 August 2026 — 13,340 subscribers31 August 2026 — 13,338 subscribers1 September 2026 — 13,335 subscribers2 September 2026 — 13,341 subscribers3 September 2026 — 13,344 subscribers4 September 2026 — 13,339 subscribers7 September 2026 — 13,322 subscribers10 September 2026 — 13,310 subscribers12 September 2026 — 13,305 subscribers14 September 2026 — 13,304 subscribers16 September 2026 — 13,298 subscribers18 September 2026 — 13,285 subscribers13,2856 August 202618 September 2026
32 measurements spanning 43 days, net +13. 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 13,217–13,371 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 13:3613,285-13
16 Sept 2026, 03:4113,298-6
14 Sept 2026, 11:5713,304-1
12 Sept 2026, 22:5913,305-5
10 Sept 2026, 23:1813,310-12
7 Sept 2026, 22:3913,322-17
4 Sept 2026, 22:5913,339-5
3 Sept 2026, 09:5413,344+3
2 Sept 2026, 04:4313,341+6
1 Sept 2026, 06:0413,335-3
31 Aug 2026, 05:1313,338-2
30 Aug 2026, 03:5813,340-3
28 Aug 2026, 05:4213,343+1
27 Aug 2026, 07:3313,342-4
26 Aug 2026, 05:2413,346-7
25 Aug 2026, 02:2413,353+18
23 Aug 2026, 17:3913,335+10
22 Aug 2026, 04:1713,325+90
20 Aug 2026, 20:1713,235-3
19 Aug 2026, 19:2113,238first reading

Engagement

28 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.77%
avg views ÷ 13,285 subscribers
Avg views / post
1,170
8 posts measured
Reaction rate
4.91%
reactions ÷ views · ER floor
Posts in window
8
of 28 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 2 September 2026
Posts held28 (20 July 20262 September 2026)
Views total9,320
Reactions total458
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:24 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

1,612 reactions across 27 posts, in 22 distinct kinds. The most used accounts for 65.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,05165.2%
🔥23914.8%
👍1569.68%
❤‍🔥493.04%
🙏231.43%
🥰150.931%
😢110.682%
🤔110.682%
👀80.496%
💔80.496%
💯80.496%
😭70.434%
🌚60.372%
🐳60.372%
💅30.186%
🤗30.186%
20.124%
🤝20.124%
🍓10.062%
👏10.062%
2 further kinds20.124%

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 27 of the 28 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 1,612 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 20 July 2026 to 2 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.

Recent posts

2 Sept 2026, 05:03 UTC543 views33 reactionsread 2 September 2026

Плюралистическая теория «Я» У вас есть много способов определить свое «Я». Вы можете сделать это на основе зависимости от собственной значимости. Однако если ваша теория собственной значимости не работает, исследование плюралистической теории «Я» позволит вам принять другую точку зрения. 💫 Плюралистическая теория «Я» основана на утверждении, что вы гораздо больше, чем все ваши черты, качества, склонности и способно

18🔥9👍6

31 Aug 2026, 17:12 UTC855 views107 reactionsread 2 September 2026
Photo

Итак, раз уж мы с вами пережили ещё один день (в депрессии, с расстройствами, тревогами, трудностями или без), то, вне всяких сомнений, заслуживаем всего самого замечательного и (и цветок от акулы в штанах в придачу!) Даже если вы не сделали ничего из того, что запланировали, пережить день — это уже неплохо и немало 💚 Этого достаточно, чтобы быть добрее к себе, например 💚

94🙏7🥰6

31 Aug 2026, 04:02 UTC912 views55 reactionsread 2 September 2026
Photo

Нужно ли мне стараться полюбить свое тело, прежде чем я перестану его ненавидеть? Но противоположность неприятия тела – не любовь к нему. Когда неприятие исцеляется, результатом становится воплощенность (от слова «плоть», то есть тело) – жизнь в своем теле, настроенность на него и уважение к нему. Уважительное отношение к собственному телу – реалистичная цель. А давление, подразумевающее, что мы должны «любить свое

38❤‍🔥9💯7🤔1

29 Aug 2026, 05:51 UTC≈1,310 views81 reactionsread 2 September 2026
Photo

#психомемы в скромном количестве

64😢11👀4👍2

26 Aug 2026, 05:20 UTC≈1,650 views32 reactionsread 2 September 2026
Photo

(продолжение) Техника №2. Переосмысливаем негативные убеждения Процесс изменения своих негативных мыслей мы начинаем с поиска оснований для подтверждения или опровержения негативных убеждений о себе. Прежде чем заменять негативный внутренний диалог позитивным, важно пройти стадию сомнения, потому что положительные убеждения, произнесенные без веры в них, будут звучать фальшиво. Работая с данной таблицей, вы научи

29👍3

26 Aug 2026, 05:20 UTC≈1,260 views31 reactionsread 2 September 2026
Photo

Сегодня у нас будет день работы с самокритикой. Как раз подоспели техники для этого. Два следующих упражнения идут в комплекте. Техника №1. Замечаем самокритику Первый шаг на пути к изменению негативных мыслей (их часто называют “негативным внутренним диалогом”) — четко замечать те негативные вещи, которые мы говорим себе. В течение следующих нескольких дней или недель записывайте негативные мысли, которые возника

25👍3🙏2🕊1

25 Aug 2026, 04:00 UTC≈1,260 views40 reactionsread 2 September 2026

Несколько признаков созависимости от доктора Говарда К. Самуэльса, психотерапевта и автора книги «Любовная зависимость. Рабочая тетрадь. Как избавиться от зависимости и выстроить здоровые длительные отношения». 🌀 Плохо получается устанавливать границы 🌀 Стремление регулярно угождать другим людям 🌀 Вам кажется, что вы отвечаете за чувства других людей 🌀 В отношениях вы часто спрашиваете у партнера, все ли в порядк

25🤔8🔥4👍2👏1

24 Aug 2026, 05:02 UTC≈1,530 views79 reactionsread 2 September 2026

Посмотрим на ошибки с другой стороны *Для тех, кто считает, что должен делать все идеально и не допускать ошибок ⚪️Ошибки бывают у всех. Это естественная часть жизни, участия в какой-либо деятельности. Это не стыдно. И не так уж часто ошибка влечет за собой нечто непоправимое. Вероятнее всего, после этой ошибки вы продолжите свою привычную жизнь ⚪️ Невозможно все предусмотреть. И это нормально. Вы не экстрасенс, н

52🔥19👍7💋1

21 Aug 2026, 15:36 UTC≈1,640 views111 reactionsread 2 September 2026
Photo

Нам не нужно стыдиться и винить себя за трудности, непростые периоды и неприятности. Они естественны для всех и не делают нас хуже. И это нормально 💚

82🔥17👍6🐳5🥰1

19 Aug 2026, 13:35 UTC≈1,940 views48 reactionsread 2 September 2026

Экспериенциальное избегание (или избегание опыта) Понятие из АСТ, суть которого выражается в попытке избежать неприятных мыслей, чувств, эмоций, воспоминаний, телесных ощущений. Способы такого избегания весьма многочисленны: прокрастинация, стремление загрузить себя делами, подавление эмоций, селфхарм, употребление алкоголя и ПАВ, эмоциогенное переедание, зависимость от игр и соц.сетей (и любые другие виды зависимо

34🙏6🔥5👍3

17 Aug 2026, 05:02 UTC≈1,780 views53 reactionsread 2 September 2026
Forwarded from @psydocmed

Что такое ортосомния? В качестве минутки психобразования по проблеме нарушений сна предлагаю познакомиться с историей пациента (предположим, что его зовут Глеб). История комичная по форме, но трагичная по сути. Глеб усердно работал на 1,5-2 ставки от зари до заката, как заметил, что стал плоховато себя чувствовать: появились раздражительность, трудности с концентрацией, из-за чего делал досадные ошибки в важных д

38👍9🔥3😭2💔1

16 Aug 2026, 05:02 UTC≈1,560 views92 reactionsread 2 September 2026
Photo

Коллекция психомемов истощааааеееетсяяя #психомемы

55🔥23👍8👀4💯1🤝1

Showing the 12 most recent of 28 posts we hold for @station_feelgood. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

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.

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.

Mindspa | Самопомощь
@mindspa_ru · 34,832
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 3 September 2026
0% токсичности
@stop_toxic · 34,444
Telegram ranks this channel #30 of 87 here — alongside 86 others — read 3 September 2026
Психология
@PsyEducation · 59,345
Telegram ranks this channel #32 of 95 here — alongside 94 others — read 22 August 2026
Психология | Психосоматика
@Psikhologiaz · 24,898
Telegram ranks this channel #47 of 83 here — alongside 82 others — read 15 September 2026
Чистые Когниции
@pure_cognitions · 37,817
Telegram ranks this channel #49 of 96 here — alongside 95 others — read 31 August 2026
Где моё внимание?
@pure_cognitions_adhd · 27,444
Telegram ranks this channel #50 of 97 here — alongside 96 others — read 11 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Station «FeelGood»” (@station_feelgood), 13,285 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/station_feelgood.

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.