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Channel

Вдвойне душный канал

@buzzkill2

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,933subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001910540838
TypeChannel
Username@buzzkill2
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/buzzkill2

Growth

1,9281,9331,930.56 August 2026 — 1,929 subscribers6 August 2026 — 1,929 subscribers7 August 2026 — 1,928 subscribers10 August 2026 — 1,931 subscribers13 August 2026 — 1,933 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +4. 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 1,927–1,934 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:261,933+2
10 Aug 2026, 07:161,931+3
7 Aug 2026, 01:381,928-1
6 Aug 2026, 08:201,929no change
6 Aug 2026, 08:191,929first reading

Engagement

18 posts held, back to 8 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.7%
avg views ÷ 1,933 subscribers
Avg views / post
575
1 post measured
Reaction rate
11.7%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 3 August 2026
Posts held18 (8 October 20253 August 2026)
Views total575
Reactions total67
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:14 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

Video runtime
29m 01s
Average length
9m 40s

Measured directly from 3 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

1,190 reactions across 18 posts, in 22 distinct kinds. The most used accounts for 36.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
43236.3%
🔥27623.2%
💔14211.9%
😁715.97%
❤‍🔥605.04%
😢534.45%
👍494.12%
👏231.93%
🙏201.68%
💊151.26%
🥰141.18%
😭80.672%
💅60.504%
🤣50.42%
🎄40.336%
30.252%
😍20.168%
🤡20.168%
🤩20.168%
🤓10.084%
2 further kinds20.168%

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 18 of the 18 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 1,190reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 8 October 2025 to 3 August 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

3 Aug 2026, 13:09 UTC575 views67 reactionsread 7 August 2026
Photo

Друзья, привет! Мы немного выпали из ведения канала, но снова возвращаемся к вам. Тем более что совсем скоро начинается новый учебный сезон!🧙‍♀️ Хотим поделиться с вами одним из протоколов работы с ночными кошмарами. Кошмары часто воспринимают как один из симптомов тревожных расстройств, депрессии или ПТСР и редко рассматривают как отдельную проблему. Однако для работы с повторяющимися кошмарами существует специал

🔥40❤‍🔥11👏8👍52🥰1

14 May 2026, 11:50 UTC≈1,490 views37 reactionsread 7 August 2026

Коллеги, совсем скоро мы будем выступать на конференции АКБТ2026 - вместе и по отдельности. И нам будет очень-очень приятно увидеть там знакомые лица👫 Конечно же, мы снова не смогли пройти мимо нашей любимой темы - ингибиторного научения. Поэтому 21 мая мы проведем мастер-класс: «Преодоление сложностей при проведении экспозиции. Ингибиторное научение». Поговорим о важности постановки прогнозов в экспозиции, типичных

26🔥8👍3

15 Apr 2026, 17:19 UTC≈2,170 views126 reactionsread 7 August 2026
Photo

В этой жизни главное - найти человека, который будет смотреть на тебя так же, как Оля смотрит на змею💗 Вчера традиционно прошёл очный семинар Центра когнитивной терапии, посвящённый работе со специфическими фобиями🐍🕷 Очень вдохновляет наблюдать за участниками, которые идут навстречу своим страхам! А у вас есть какие-то простые фобии? Змеи, пауки, клоуны?

71🔥31😁19🤡2🤩2🥰1

30 Mar 2026, 18:37 UTC≈2,260 views36 reactionsread 7 August 2026
Photo

В эти выходные завершился наш семинар от ЦКТ «Ингибиторное научение: тонкая настройка экспозиции», где мы вместе с участниками душнили про прогнозы, которые мы записываем перед экспозицией с клиентом. Недавно наткнулись на статью, в которой предлагается модифицированный протокол ERP при ОКР, основанный на принципах ингибиторного научения. Авторы приводят примеры применения различных стратегий для усиления экспозици

25🔥5🙏3🤣2❤‍🔥1

25 Mar 2026, 16:40 UTC≈2,770 views168 reactionsread 7 August 2026
Photo

Мы с грустью узнали о том, что ушла из жизни Эдна Фоа. Для клинической психологии это большая потеря. Её работа сильно повлияла на то, как мы сегодня понимаем и лечим тревожные расстройства, особенно ПТСР и ОКР. Во многом именно благодаря ей экспозиционные методы стали стандартом помощи, которым мы пользуемся в практике. Светлая память🩵

💔93😢5018🙏7

16 Mar 2026, 15:08 UTC≈2,670 views42 reactionsread 7 August 2026
Video

Делимся с вами кусочком нашего выступления на конференции PsyDocMed, где мы рассказывали о трудностях в проведении экспозиции. Одна из частых сложностей - это страхи терапевтов, которые приводят к отказу от экспозиции или её необоснованному смягчению. Более подробно об этом мы также будем рассказывать на нашем курсе «Ингибиторное научение: тонкая настройка экспозиции», который пройдет 21 и 28 марта. #видео_душнил

20❤‍🔥10🔥8👍3🤓1

13 Mar 2026, 17:18 UTC≈1,890 views39 reactionsread 7 August 2026
Video

Когда не попала на концерт группы Электрослабость, но хирург сказал, что это не проблема🤩 Люблю DocDent💖 Вдвойне душный канал

18🔥10😁7❤‍🔥2👏2

5 Mar 2026, 09:06 UTC≈1,890 views88 reactionsread 7 August 2026
Photo

Иногда жизнь сама организует тебе экспозицию. К сожалению, нам придётся немного перенести семинар по ингибиторному научению. Стоматологическая стабильность душнилы поменьше внезапно закончилась на съеденном чебуреке, который сломал зуб ровно напополам вместе с корнем и последующим отёком:( Теперь 13-го, в пятницу (хирург иронично сказал, что это единственный день с окошками🤭), мне предстоит удаление сломанного зуба

💔49💊15👏8😭8🤣3😢3🤗1🙏1

21 Feb 2026, 14:45 UTC≈2,510 views31 reactionsread 7 August 2026
Photo

Напоминаем о семинаре по ингибиторному научению✨ https://kochet-psy.ru/inhibitory_learning В ближайшие дни действует промокод на скидку psydocmed2026, успейте воспользоваться! Слайд с потрясающей конференции, организованной PsyDocMed. Сегодня говорили о том, почему экспозиция может не работать)

🔥15❤‍🔥9👍4😁3

11 Feb 2026, 17:09 UTC≈13,300 views127 reactionsread 7 August 2026
Video

Мы тут подготовили для вас субтитры к замечательному видео с психообразованием про ПТСР от Kerry Young (соавтор книги о техниках работы с воображением в КБТ) В видео простым и понятным языком рассказывается: ⏺что такое ПТСР, ⏺какие симптомы в него входят, ⏺почему эти симптомы возникают, ⏺и как с ними можно работать в терапии. Это видео будет полезно и клиентам, и терапевтам. Будем рады вашей поддержке и репосту э

🔥5950❤‍🔥16😍2

4 Feb 2026, 19:39 UTC≈3,130 views78 reactionsread 7 August 2026
Photo

Только что завершили семинар по порочным циклам в социальном тревожном расстройстве. Успокаивающий слайд для тех, кто переживает и сомневается, как рисовать стрелочки. Напоминание! Дэвид Кларк тоже не определился😳 На картинке модель социальной тревожности Д. Кларка из разных статей и руководств. #юмор_душнил Вдвойне душный канал

😁4218🔥12🙏4🤔1🥰1

2 Feb 2026, 10:44 UTC≈3,040 views60 reactionsread 7 August 2026
Photo

✨По следам прошедшего семинара по BFRB (сфокусированное на себе повторяющееся поведение, например, расковыривание кожи или выдергивание волос) хотим поделиться с вами полезной информацией.✨ Для лечения BFRB рекомендован тренинг замены привычки (HRT), как в чистом виде, так и в составе комплексной поведенческой терапии (ComB). На втором этапе протокола, после блока осознанности, проводится тренировка реагирования, к

25🔥25💅6👍4

Showing the 12 most recent of 18 posts we hold for @buzzkill2. 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.

Citation-graph rank

Citation-graph rank — 792,843 of 1,336,469entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Вдвойне душный канал” (@buzzkill2), 1,933 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/buzzkill2.

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.