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Channel

ПФА и ТОН | Хенли | PFA & SBT |

@pfa_sbt_rus

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

6,546subscribers

+77 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001609273911
TypeChannel
Username@pfa_sbt_rus
DescriptionКанал про ценности и процедуры подхода Грегори Хенли. Учим навыкам и преодолеваем проблемное поведение, опираясь на Современную АВА. Чат: https://t.me/pfa_rus YT и RT: https://www.youtube.com/@pfaandsbtrussian https://rutube.ru/channel/42662404/playlists
Created26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/pfa_sbt_rus

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

6,4696,5466,507.57 August 2026 — 6,469 subscribers8 August 2026 — 6,469 subscribers10 August 2026 — 6,474 subscribers14 August 2026 — 6,479 subscribers17 August 2026 — 6,478 subscribers20 August 2026 — 6,480 subscribers24 August 2026 — 6,487 subscribers27 August 2026 — 6,486 subscribers30 August 2026 — 6,477 subscribers2 September 2026 — 6,476 subscribers6 September 2026 — 6,487 subscribers11 September 2026 — 6,485 subscribers14 September 2026 — 6,484 subscribers19 September 2026 — 6,493 subscribers29 September 2026 — 6,495 subscribers13 October 2026 — 6,502 subscribers16 October 2026 — 6,517 subscribers19 October 2026 — 6,518 subscribers22 October 2026 — 6,529 subscribers25 October 2026 — 6,539 subscribers28 October 2026 — 6,538 subscribers31 October 2026 — 6,545 subscribers3 November 2026 — 6,546 subscribers7 August 20263 November 2026
23 measurements spanning 88 days, net +77. 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 6,457–6,558 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
3 Nov 2026, 15:176,546+1
31 Oct 2026, 14:486,545+7
28 Oct 2026, 19:196,538-1
25 Oct 2026, 22:586,539+10
22 Oct 2026, 18:086,529+11
19 Oct 2026, 05:086,518+1
16 Oct 2026, 14:316,517+15
13 Oct 2026, 05:516,502+7
29 Sept 2026, 03:226,495+2
19 Sept 2026, 11:426,493+9
14 Sept 2026, 20:166,484-1
11 Sept 2026, 07:386,485-2
6 Sept 2026, 14:576,487+11
2 Sept 2026, 13:356,476-1
30 Aug 2026, 22:496,477-9
27 Aug 2026, 14:546,486-1
24 Aug 2026, 17:066,487+7
20 Aug 2026, 19:346,480+2
17 Aug 2026, 15:296,478-1
14 Aug 2026, 02:156,479first reading

Engagement

43 posts held, back to 7 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 6,546 subscribers
Avg views / post
828
17 posts measured
Reaction rate
2.78%
reactions ÷ views · ER floor
Posts in window
17
of 43 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 4 November 2026
Posts held43 (7 July 2026 – 4 November 2026)
Views total14,074
Reactions total391
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 22:33 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
936
Videos
87
Links
835

Lifetime counters from Telegram’s own channel header, read 4 November 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.

Video runtime
5m 23s
Average length
1m 05s

Measured directly from 5 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

980 reactions across 43 posts, in 13 distinct kinds. The most used accounts for 48.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47048.0%
🔥22422.9%
👍939.49%
❤‍🔥666.73%
👏424.29%
🥰191.94%
🕊171.73%
😍171.73%
🤩131.33%
🆒90.918%
🎉40.408%
🐳30.306%
💯30.306%

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 43 of the 43 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 980 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 7 July 2026 to 4 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
6
of 43 we hold a reading for · 14%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pfa_sbt_rus. 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 43 most recent posts we hold for this entry, published 7 July 2026 to 4 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 17 posts held from the last 30 days (29.4%) 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).

4 Nov 2026, 07:02 UTC308 views18 reactionsread 4 November 2026
Photo

🌿Знакомое всем дерево навыков ПФА/ТОН Возле корней этого дерева лежат желуди 🌱🌱🌱– символ генерализации навыков в новых условиях. Желуди падают с дерева, закладывая основу для будущих успехов за пределами тренинга. 🚩Эти успехи надо планировать заранее, уже на самых ранних этапах вмешательства. Мы планируем генерализацию, разрабатывая «обратный дизайн вмешательства/обратное планирование» с самого начала тренинга, з…

❤10🔥5👍3

Signed Наталия Бутузова

2 Nov 2026, 07:02 UTC486 views18 reactionsread 4 November 2026
Video

🔥 Курс "УниПРО: Специалисты" - регистрация открыта! Работа с семьей - одна из важнейших составляющих эффективного поведенческого вмешательства. После встречи со специалистом родителям важно уходить с пониманием того, что именно происходит с их ребенком, почему возникают те или иные трудности и, главное, что конкретно они могут сделать, чтобы помочь ему. ✅ Именно это во многом определяет мотивацию родителей к сотру…

❤8🔥7🆒3

Signed Екатерина Каменских

1 Nov 2026, 07:02 UTC533 views15 reactionsread 4 November 2026
Photo

💻 Видеозапись встречи! Продолжаем вспоминать выступления приглашенных спикеров и снова обратимся к теме детской психиатрии. ❤️ За похожими проявлениями поведения у детей могут стоять совершенно разные причины. Агрессия, тревожность, навязчивые ритуалы, эмоциональные вспышки - все это требует внимательной оценки, понимания истории развития ребенка и условий, в которых возникает это поведение. ☁️ Диагностика психич…

❤7👍4🔥4

Signed Екатерина Каменских

30 Oct 2026, 07:00 UTC653 views30 reactionsread 4 November 2026
Photo

⏩Политика открытых дверей во время ПФА и ТОН: оставьте дверь открытой Тридцать или сорок лет мы проводили анализ, никогда не оставляя открытой дверь. Тогда нам казалось, что это не нужно. Сейчас мы понимаем, что это очень нужно. ✔️Если вы оставите дверь открытой, вы можете избежать эскалации у тех детей, которые чувствуют, что их поймали в ловушку. ✔️Оставив дверь открытой, вы можете провести оценку свободных опера…

❤15🔥9👍4👏1🥰1

Signed Наталия Бутузова

28 Oct 2026, 07:02 UTC853 views31 reactionsread 4 November 2026
Photo

Сначала помочь успокоиться. А уже потом - объяснять и учить. 🔥 Когда ребенок сильно расстроен, злится, испытывает сильное эмоциональное возбуждение, нам часто хочется поскорее объяснить ему, что произошло, почему так нельзя и как нужно было поступить. Мы приводим разумные доводы, пытаемся договориться, предлагаем альтернативы, иногда обещаем что-то приятное, если ребенок успокоится. Но в состоянии выраженной эмоцион…

❤19👍6🔥4👏2

Signed Екатерина Каменских

26 Oct 2026, 07:03 UTC782 views20 reactions1 Starread 4 November 2026
Video

🔥 Курс "УниПРО: Специалисты" - регистрация открыта! 💕 Работа с родителями - одна из самых сложных и наименее структурированных частей профессиональной практики поведенческого аналитика. При этом именно от качества сотрудничества с семьей во многом зависит, насколько успешным и устойчивым будет вмешательство. ❓Как помочь родителям стать полноценными участниками процесса? Как научить их замечать условия, провоцирующ…

🔥10❤5👍4❤‍🔥1

Signed Екатерина Каменских

25 Oct 2026, 07:03 UTC758 views16 reactions1 Starread 4 November 2026
Photo

💻 Видеозапись встречи! А мы продолжаем вспоминать выступления приглашенных гостей, которыми мы делились на канале. И сегодня хотим поговорить о междисциплинарном взаимодействии. ✅ Когда речь идет о помощи детям с РАС, очень важно, чтобы специалисты разных направлений понимали задачи друг друга, могли обсуждать сложные случаи и согласовывать свои рекомендации. Ведь от того, насколько слаженно выстроена эта работа, в…

❤8❤‍🔥5🔥3

Signed Екатерина Каменских

22 Oct 2026, 07:02 UTC991 views37 reactionsread 4 November 2026
Photo

❤️ Устанавливать границы - не значит игнорировать чувства ребенка. 🩷 Проблема может быть не в самом отказе, а в том, как именно взрослый реагирует на чувства ребенка после отказа. Например, ребенок просит что-то такое, что взрослый не может позволить в данный момент - а взрослый ему отказывает. Ребенок расстраивается, злится, плачет... И дальше взрослый может начать спорить, требовать немедленно успокоиться, обесце…

❤21🔥11❤‍🔥5

Signed Екатерина Каменских

21 Oct 2026, 07:00 UTC854 views40 reactionsread 4 November 2026
Photo

🙂 Вспоминаем забытую новую/старую рубрику! Юмор от ЧП ЧП, он же Чуткий Поведенец, — это наш внутренний искусственный интеллект, наш мышь-маскот )), обученный концепциям современного прикладного анализа поведения и слегка приправленный сарказмом. ✨В этой рубрике — шутки, каламбуры и поведенческие наблюдения, рождающиеся на стыке ABA, ИИ и профессионального выгорания. Смешно? Да. По функции? Ещё как. Генератор — ИИ.…

❤16🤩13👍5🐳3🔥2🆒1

Signed Наталия Бутузова

19 Oct 2026, 07:00 UTC878 views21 reactionsread 4 November 2026
Photo

❓Вы спрашиваете - мы отвечаем! 💢 Мы родители, слушаем курс Хенли, начали тренинг. Работает! Может пояснить, что значит контингенции, антецеденты и бренчи? И чуть подробнее про дру, сочетание подкреплений... и еще что значит промощь с учетом опыта травмы. 🎙 Ответ: Прежде всего хочется сказать, что это очень здорово, что вы слушаете курс, самостоятельно пытаясь разобраться во вмешательстве! Некоторые термины, действи…

❤13🕊4🆒4

Signed Наталия Бутузова

17 Oct 2026, 07:02 UTC953 views27 reactionsread 4 November 2026
Photo

💻 Видеозапись встречи! А мы продолжаем вспоминать выступления приглашенных спикеров. Сегодня предлагаем посмотреть запись выступления Елизаветы Мешковой на тему 🚩«Фармакологические подходы к коррекции тяжелого проблемного поведения» Елизавета Мешкова - детский врач-психиатр, эксперт в научно-обоснованной практике, соавтор клинических рекомендаций по РАС, популяризатор науки, соавтор Telegram-канала «Детская психиа…

❤14🥰6🔥4👍3

Signed Екатерина Каменских

15 Oct 2026, 07:00 UTC750 views12 reactionsread 4 November 2026
Forwarded from @abaunionPhoto

📺 Доступны запись и материалы вебинара по культурной осведомленности, который мы провели совместно с нашими партнерами – проектом Ценности превыше процедур. Запись Чек-лист CRITIC на русском языке с приложениями Это второй вебинар из цикла по культурной осведомленности. 📽️ Первый вебинар можно найти здесь 🎓 После просмотра любого из вебинаров члены ПСПА могут получить 1 балл CEU Cultural Issues.

❤7🔥3👍2

Signed Екатерина Каменских

Showing the 12 most recent of 43 posts we hold for @pfa_sbt_rus. 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.

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 4 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.

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.

Обучающие материалы
@xeiqaa · 21,333
Telegram ranks this channel #64 of 92 here — alongside 91 others — read 24 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“ПФА и ТОН | Хенли | PFA & SBT |” (@pfa_sbt_rus), 6,546 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/pfa_sbt_rus.

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.