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 22 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
5 measurements spanning 34 days, net +2. 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 357–363 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 00:21
360
-2
1 Sept 2026, 20:54
362
+1
16 Aug 2026, 08:05
361
+2
9 Aug 2026, 11:51
359
+1
8 Aug 2026, 11:34
358
first reading
Engagement
11 posts held, back to 23 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 25s
Average length
43s
Measured directly from 2 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
76 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
21
27.6%
👍
19
25.0%
❤🔥
15
19.7%
💯
9
11.8%
👏
7
9.21%
❤
5
6.58%
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 7 of the 11 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 76 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 July 2026 to 6 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.
В последние годы термин «психологическая безопасность» звучит повсюду — от agile-команд до креативных лабораторий.
Тимоти Кларк предлагает очень конкретную и практичную модель того, как именно развивается психологическая безопасность в группе и при каких условиях люди начинают не только «чувствовать себя комфортно», но и осознанно бросать вызов статус-кво.
⠀
Он говорит о четырех последовательных стадиях:
1️⃣ Безопа…
Знаю, про что расскажу в следующий раз в теме психология креативности🍎!
О четырехэтапной модели психологической безопасности.
Мне она очень понравилась.
13 поток Level 2 ICF курса «Коучинг.Теория и практика» от Международного центра коучинга и супервизии ICCS Елены Фарба невероятно прошел итоговый ассессмент - 100 из 100!
Ликую ❤️🔥
Профессиональных коучей по мировым стандартам ICF прибавилось в Германии, Мексике, США, Голландии, России, Беларуси!
Горжусь своими выпускниками, собой и командой ICCS.
#iccscoaching
Про мое главное открытие в университете современных искусств Catalyst, Берлин 🌱
Мое решение приехать на эту программу в университет Catalyst было случайным и не случайным одновременно.
Случайным в том, что я подыскивала короткую летнюю программу от немецкого университета – мне хотелось побыть в «закулисье» европейского студенчества. 17 лет я проработала доцентом в университете, мне было любопытно, как эта система ус…
Привет всем 🌱
И еще о перфомансе - когда поделилась https://t.me/svamifarba/1532 видео и фото фрагментами, захотелось рассказать чуть больше.
Итак…
Изучая процесс творчества, мы с Федерикой из Италии и Франсишкой из Португалии придумали и провели перфоманс “BE (IN) BETWEEN”
Это перформанс о том, как рождается творчество. Не в голове, а между людьми, здесь и сейчас.
В “BE(IN) BETWEEN” мы превращаем белое поле на …
Прямо сейчас Ян приземлился в Лиссабоне, Португалия.
Он - спикер IT конференции
Конференция называется FLoC (Federated Logic Conference), floc26.org.
Он будет выступать там с презентацией на воркшопе, представлять Work-in-Progress проект от Института Макса Планка.
Конференция продлится неделю до 30 июля, так что у Яна впереди неделя в Лиссабоне ☀️
❤4👏4❤🔥3👍3🔥3💯1
Signed Elena Farba
Showing the 11 most recent of 11 posts we hold for @svamifarba. 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.
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.
Шаблоны для презентаций | Powerpoint шаблоны @powerpointrus · 35,191 Telegram ranks this channel #57 of 81 here — alongside 80 others — read 3 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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“С Вами Фарба 🌱” (@svamifarba), 360 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/svamifarba.
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.
