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 93% 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
26 measurements spanning 95 days, net +387. 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 5,713–6,274 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 20:37
6,172
-1
6 Nov 2026, 04:58
6,173
-5
3 Nov 2026, 09:39
6,178
-16
31 Oct 2026, 01:39
6,194
-10
27 Oct 2026, 19:59
6,204
-3
25 Oct 2026, 06:10
6,207
-2
21 Oct 2026, 19:49
6,209
+1
18 Oct 2026, 20:27
6,208
+6
15 Oct 2026, 14:51
6,202
-1
12 Oct 2026, 20:30
6,203
-4
6 Oct 2026, 12:59
6,207
+6
29 Sept 2026, 10:22
6,201
+76
19 Sept 2026, 07:38
6,125
+74
15 Sept 2026, 01:20
6,051
-3
11 Sept 2026, 15:56
6,054
-4
7 Sept 2026, 05:56
6,058
-3
2 Sept 2026, 03:54
6,061
-4
29 Aug 2026, 18:03
6,065
-9
26 Aug 2026, 22:28
6,074
+22
23 Aug 2026, 12:26
6,052
first reading
Engagement
16 posts held, back to 27 May 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.0%
avg views ÷ 6,172 subscribers
Avg views / post
676
2 posts measured
Reaction rate
5.84%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 6 November 2026
Posts held
16 (27 May 2026 – 6 November 2026)
Views total
1,352
Reactions total
79
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 16:43 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
3m 15s
Average length
22s
Measured directly from 9 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
513 reactions across 16 posts, in 14 distinct kinds. The most used accounts for 40.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
207
40.4%
🔥
104
20.3%
❤🔥
71
13.8%
custom 5427337184527002702
47
9.16%
⚡
34
6.63%
😁
25
4.87%
👏
7
1.36%
🙈
5
0.975%
🤓
4
0.78%
🌚
3
0.585%
💩
3
0.585%
😇
1
0.195%
🤣
1
0.195%
🤨
1
0.195%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 16 of the 16 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 513 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 27 May 2026 to 6 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.
Advertising
Ad load
6.25%
1 of 16 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,980
over 1 measured post
Median views · rest
1,750
over 15 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjcC4JGz
1
24 June 2026
24 June 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 16 most recent posts we hold, published 27 May 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 2 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).
на воркшопе с дизайн-командой Бургер Кинга разработали концепты для главного экрана аппки и интерфейса киоска
у БК суперъяркий офлайн и свежий стиль: огонь, эмоции, сочные булки. задача — перенести этот характер в цифровую среду, чтобы поддержать бренд на пути трендсеттера в фудтехе.
шесть часов интенсива на экранах с инхаус-командой интерфейсного дизайна. от нас дизайн-лиды — ⚪️ денис и ⚪️ лева
риск таких встреч …
как рефы превращаются в идеи. заглядываем во внутрянку участников
мы много времени проводим в работе с референсами и видим прямую связь: чем структурнее разбираешь рефы, тем меньше макет похож на пинтерест и тем больше на тебя
в карточках процесс наших участников: как они работают с референсами и как из них рождаются идеи
в нашем боте можно забрать шпаргалку по работе с референсами: как искать, отбирать и структур…
плохих идей не бывает. бывают идеи, которым не хватило поддержки
на этом строится вся большая практика: любую задумку бустанут и помогут довести до конца. от этого появляется смелость мыслить шире
так полина тарасова с 8 потока придумала мерч и напечатала его на своем 3d принтере. в посте показываем, как это было
если тоже хочешь место, где твои идеи поддержат и раскачают, приходи на 9 поток большой практики. стар…
возвращаться к бывшим обычно плохая идея, но в нашем случае это оправданно
спросили у ребят: за чем они снова и снова приходят на большую практику?
со своей стороны мы тоже стараемся, чтобы было за чем возвращаться:
каждый поток выкатываем новые задачи, поэтому приходить можно несколько раз и каждый заход тренировать навыки на свежих проектах
если тоже хочешь вернуться или прийти в первый раз, ближайший поток старт…
не знаете, с чего начать вайбкодить?
мы уже говорили о том, что можно начать с чего-то простого. поэтому несем вам тутор от левы ловушки, наставника большой вайбкод практики и дизайн лида прагматики.
в нем он собирает веб-эффект с нуля, пайплайн такой: фигма → спека в клоде → сборка в курсоре → хостинг на netlify
смотрите на ютубе прагматики
выкатываем программу большой вайбкод практики
⠀
разделили обучение на 3 этапа, где сначала осваиваем базу и начинаем с простых задач. потом переходим к своему проекту, это самая большая часть программы. и обязательно оставляем время в конце на доводку, потому что разница между «работает» и «можно показывать» огромная
⠀
рядом наставники и другие участники практики, которые варятся в том же самом. у них можно подсмотре…
показываем работы наставников большой вайбкод практики
попросили рому собрать не только то, что выпущено в паблик, но и то, что делается для себя и внутри компаний. смотрите скринкасты, описания проектов ниже ⬇️
10byrs.com — персональный сайт-портфолио
кейсы, работы, книги, игры, менторинг
design agent — ai-агент, который по бизнес-требованиям генерирует кликабельные React-прототипы в дизайн-системе компании
про…
аларм, это УЧЕБНАЯ тревога! мы выкатываем первый поток большой вайбкод практики для дизайнеров, который стартует 3 сентября
мы готовили этот запуск не один месяц: собирали программу, спорили о формате и искали наставников, которые вайбкодят не в теории, а в реальных проектах, мы хотели найти баланс между необходимой теорией и практикой с фокусом пользу для дизайнеров
формат знакомый, но с апгрейдом: 15 занятий по 3…
19 июля встречаемся в москве на кайференции от прагматики
год назад собрали 420 дизайнеров, арт-директоров и всех, кто делает цифру руками. пришли серьёзные, ушли с баром внутри и новыми знакомствами
в этот раз среди спикеров женя яровой из pragmatica, маша троицкая из т-банка, катя тюхай из атома и британки и художник арсений попов с докладом «гробы для кошек и другие способы стать собой». ещё дизайн-батл пяти ком…
на следующей неделе 18 июня стартуем уже 8 поток «большой практики»
публикуем программу и состав наставников, а еще будет 😍 плюшка от screen gallery для всех участников, чтобы было больше референсов
мест осталось совсем чуточку, тянуть уже некуда, надо вписываться, ребята
есть варик выиграть жирную скидку в 50% на участие в конкурсе от ⚪️pragmatica
хотите снова почувствовать кайф от создания дизайна и вспомнить о…
❤🔥13custom 54273371845270027022👏1🔥1🤓1
Showing the 12 most recent of 16 posts we hold for @collectivchik. 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
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.
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.
Kostya Gorsky’s Channel @desprod · 25,638 Telegram ranks this channel #26 of 97 here — alongside 96 others — read 13 September 2026
Bang Bang Education @bbe_school · 25,220 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 14 September 2026
perasperadastra ✱ сучков саша @perasperagram · 38,071 Telegram ranks this channel #40 of 98 here — alongside 97 others — read 1 September 2026
дизайнерс.сайты @cyrillicdesign · 34,390 Telegram ranks this channel #54 of 99 here — alongside 98 others — read 2 September 2026
Салют, это SberDevices @sber_devices · 22,094 Telegram ranks this channel #65 of 92 here — alongside 91 others — read 21 September 2026
Дизайнер, привет @jun_hi · 23,403 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 18 September 2026
Точка входа @bbe_jobs · 25,593 Telegram ranks this channel #76 of 98 here — alongside 97 others — read 14 September 2026
ИЩУ_ДИЗАЙНЕРА @designer_ru · 81,619 Telegram ranks this channel #77 of 94 here — alongside 93 others — read 19 August 2026
дизайнерс @dsgners · 19,076 Telegram ranks this channel #78 of 94 here — alongside 93 others — read 2 October 2026
Secret Design @secretd · 22,102 Telegram ranks this channel #78 of 95 here — alongside 94 others — read 21 September 2026
Job for Designers @fordesigner · 25,374 Telegram ranks this channel #80 of 94 here — alongside 93 others — read 15 September 2026
Now How Channel @nowhow · 24,290 Telegram ranks this channel #81 of 98 here — alongside 97 others — read 15 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“коллективчик” (@collectivchik), 6,172 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/collectivchik.
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.