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 9 September 2026 and assigned it the closest of 31 fixed categories, at 42% 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
44 measurements spanning 74 days, net +445. 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 29,568–37,693 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)
Subscribers
Change
20 Oct 2026, 14:49
31,677
-104
19 Oct 2026, 13:35
31,781
-141
18 Oct 2026, 11:28
31,922
-45
17 Oct 2026, 11:36
31,967
-40
16 Oct 2026, 14:39
32,007
-111
15 Oct 2026, 16:11
32,118
-163
14 Oct 2026, 19:06
32,281
-157
13 Oct 2026, 10:36
32,438
-314
9 Oct 2026, 05:57
32,752
-600
4 Oct 2026, 22:39
33,352
-1,783
27 Sept 2026, 16:17
35,135
-1,268
17 Sept 2026, 15:59
36,403
-26
15 Sept 2026, 11:37
36,429
+10
13 Sept 2026, 22:19
36,419
-336
12 Sept 2026, 05:40
36,755
+372
9 Sept 2026, 22:15
36,383
+1,085
6 Sept 2026, 16:01
35,298
+621
4 Sept 2026, 03:01
34,677
+1,260
2 Sept 2026, 20:05
33,417
+958
1 Sept 2026, 20:26
32,459
first reading
Engagement
23 posts held, back to 7 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 135 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.6%
avg views ÷ 31,677 subscribers
Avg views / post
4,310
3 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 12 October 2026
Posts held
23 (7 May 2026 – 12 October 2026)
Views total
12,920
Reactions total
325
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Oct 2026, 08:34 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
1m 52s
Average length
56s
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
3,409 reactions across 23 posts, in 23 distinct kinds. The most used accounts for 23.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
800
23.5%
👍
748
21.9%
🎉
539
15.8%
👏
394
11.6%
❤
318
9.33%
❤🔥
154
4.52%
🤬
107
3.14%
🕊
61
1.79%
🍓
46
1.35%
🤩
37
1.09%
💯
34
0.997%
🦄
30
0.88%
😱
29
0.851%
💊
21
0.616%
😍
21
0.616%
🎄
19
0.557%
🙏
19
0.557%
🥰
16
0.469%
💔
6
0.176%
🙈
6
0.176%
3 further kinds
4
0.117%
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 23 of the 23 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 3,409 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 7 May 2026 to 12 October 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
13
across the posts below
Posts paid on
13
of 23 we hold a reading for · 57%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bun_kazan. 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 23 most recent posts we hold for this entry, published 7 May 2026 to 12 October 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.
В связи с масштабным инцидентом в инфраструктуре дата-центров возможны перебои в работе ряда сервисов: GetCourse, платёжных интеграций (включая Яндекс Сплит), а также почтовой рассылки.
Это означает, что временно могут быть недоступны: приём платежей, загрузка форм рассрочки, отправка автоматических писем (чеки, доступы, напоминания).
Обращаем внимание: это временные ограничения на стороне внешних сервисов, а не ош…
Создание АI сериала в ренальном времени.
Вы вместе со мной:
- создадите постоянных персонажей
- сгенерируете видеосцены
- голоса и озвучка
- соберете сериал
Присоедениться
А что, если реклама может приносить вам деньги, а не только стоить денег?
Ищу несколько блогеров и экспертов для теста нового формата сотрудничества. Не обычная реклама. Не бартер. И не история «разместили пост - забыли».
Я предлагаю формат, в котором вы можете дополнительно зарабатывать на своей уже существующей аудитории.
Вам не нужно создавать собственный продукт, вкладывать свои деньги или заниматься техническ…
А не охуели ли вы, коллеги? 😂
Мало того, что настроили рекламу как попало, так теперь ещё и на ботов всё свалили: «Мы с таким впервые столкнулись, помочь ничем не можем».
Гореть в аду таким спецам 😂
И отдельно про Яндекс: сейчас просто «залить денег в Директ» далеко не волшебная кнопка продаж. Во многих нишах трафик дорогой, а без нормальной аналитики, минус-слов, целей, посадочной и постоянной оптимизации бюджет…
Вы уже видели обновление?
Классное, нужное. Каждый новый подписчик получит ваше приветсвие. Инструкция на скринах.
Спасибо можно сказать в коментариях)
А с чего вы вообще взяли, что ваша профессиональность зависит от количества подписчиков?
Вы блогер? Если нет зачем оцениваете себя по блогерским метрикам? Если вы SMM-специалист ваша работа развивать чужие проекты.
Я технический специалист. Моя работа автоматизировать чужой бизнес: собирать сайты, ботов, настраивать системы, разрабатывать приложения.
И было бы довольно странно, если бы вместо работы, за которую м…
Наверное, именно ради этого я когда-то и пошла работать онлайн.
За август мы потратили на обустройство дома больше 400 000 ₽. Мебель, техника, свет, текстиль и миллион мелочей, каждая из которых почему-то стоит как крыло самолёта 😅 (если нужны артиклы на всё кричите в комментариях)
И я тут поймала себя на мысли. Ведь дело вообще не в этих 400 тысячах. И даже не в доме.
Дело в том, что когда-то я освоила навыки, кото…
Можно плеваться, орать и топать ногами. А можно включить мозги и перестроить свой бизнес.
Интернет работает нестабильно. Какие-то сервисы открываются, какие-то нет. Telegram у кого-то работает прекрасно, у кого-то сообщения грузятся через раз. Instagram* давно нельзя считать единственной надёжной точкой для бизнеса.
И я постоянно вижу обсуждения:
«А что теперь делать?»
«Куда всех переводить?»
«А если заблокируют?»…
📌📌📌📌📌📌📌
Я не хочу, чтобы мои дети содержали меня в старости
Сегодня смотрела, как дочь сидит за своим маленьким ноутбуком, что-то очень деловито печатает, и подумала:
когда она вырастет, я обязательно научу её зарабатывать.
Не «найти хорошую работу». Не "найти богатого мужа" Не «получить профессию один раз и держаться за неё всю жизнь».
А именно уметь зарабатывать.
• Уметь освоить новый навык.
• Уметь найти клие…
Кажется, я всё-таки создала свою школу 🥹 Я вчера наконец-то доделала свой GetCourse. И вы только посмотрите, какая красота получилась
Не могу сказать, что для меня это какой-то суперновый и волнительный опыт - своя онлайн-школа у меня уже была.
Но сейчас ощущение совсем другое.
Потому что MB TECH я начинаю практически с нуля. Со своей программой, своим подходом к обучению и пониманием, чему действитель…
И это действительно так. Хороших специалистов очень мало.
Чат-боты, сайты, разработка приложений - также относится к IT сфере.
Как классно что я этому научилась и обучаю других.
Кстати я начинаю делать прототип приложения для бренда G&P. И уже черeз месяца 2 вы увидите итог моей работы.
Недавно я закончила обучение по разработке приложений. И вот у меня уже есть заказ, что меня очень радует.
Училась я долго и до…
❤37🔥32🎉23👍14
Showing the 12 most recent of 23 posts we hold for @bun_kazan. 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.
Mentions
Named by 1 registered channel — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@bun_kazan named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@bunkazan named in 17 posts, 8 August 2026 – 8 September 2026 · confirmed gone 8 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 20 October 2026 — this
entry's latest reading, not the date you are reading this.
“Маркетолог на кухне” (@bun_kazan), 31,677 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/bun_kazan.
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.