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 39% 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
33 measurements spanning 49 days, net +2,391. 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 28,468–31,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 13:39
31,218
+296
19 Sept 2026, 00:59
30,922
+207
16 Sept 2026, 17:20
30,715
+112
14 Sept 2026, 19:17
30,603
+58
13 Sept 2026, 07:17
30,545
+36
11 Sept 2026, 12:37
30,509
+145
8 Sept 2026, 21:18
30,364
+112
5 Sept 2026, 16:19
30,252
+121
3 Sept 2026, 18:21
30,131
+137
2 Sept 2026, 08:34
29,994
+67
1 Sept 2026, 05:36
29,927
+42
31 Aug 2026, 02:19
29,885
+24
30 Aug 2026, 04:35
29,861
+38
29 Aug 2026, 06:53
29,823
+36
28 Aug 2026, 04:43
29,787
+68
27 Aug 2026, 02:03
29,719
+45
26 Aug 2026, 03:02
29,674
+37
25 Aug 2026, 02:27
29,637
+32
23 Aug 2026, 19:36
29,605
+65
22 Aug 2026, 03:53
29,540
first reading
Engagement
24 posts held, back to 30 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 87 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
58.2%
avg views ÷ 31,218 subscribers
Avg views / post
18,200
11 posts measured
Reaction rate
2.74%
reactions ÷ views · ER floor
Posts in window
11
of 24 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 1 October 2026
Posts held
24 (30 July 2026 – 1 October 2026)
Views total
199,930
Reactions total
5,473
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 11:25 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
604
Videos
51
Links
81
Lifetime counters from Telegram’s own channel header, read 2 October 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
1m 39s
Average length
20s
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
12,686 reactions across 24 posts, in 16 distinct kinds. The most used accounts for 43.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,522
43.5%
🔥
2,500
19.7%
😱
1,732
13.7%
👍
863
6.80%
❤🔥
720
5.68%
🙈
470
3.70%
🎉
383
3.02%
👏
126
0.993%
🌚
107
0.843%
🍾
83
0.654%
🍓
69
0.544%
🥰
46
0.363%
🫡
37
0.292%
⚡
15
0.118%
💯
12
0.095%
🤗
1
0.008%
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 24 of the 24 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 12,686 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 30 July 2026 to 1 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.
СВЕЖЕНЬКИЙ ВЫПУСК уже на канале!
https://youtu.be/FKKL1T2vFTU?si=dDp3t4vpn1_cAzJe
Владимир и Оксана из Петербурга: трое детей за 4 года, ипотека, 10 кредитов и долг 6,7 млн. Каждый месяц банкам уходит больше, чем они зарабатывают.
Что они делают? Муж уходит из офиса в курьеры, жена снимает рилсы и мечтает о Гелике и Мальдивах. Пенсионный план — «буду работать». Подушка безопасности — позитивное мышление.
Пирамида…
Друзья, решили немного приоткрыть завесу тайны и показать отрывок из завтрашнего видео!
Ждёте? 😈😈😈
Смотреть: https://youtube.com/shorts/OI06tRpr5iw?si=f8P3HNtZo3Kco0G2
Новое видео с вашими историями уже на канале!
Смотреть: https://youtu.be/A4b9zYhMrIU
Благодарю каждого, кто поддерживает видео своим интересом и заимодействует, оставляя свой лайк и комментарий!
🎉 Новый выпуск уже на канале:
https://youtu.be/qH42CcyeRpo
50 лет, завод, монастырь, обман жены, и бóльшая половина жизни в кредитах.
Сергей из Гатчины взял первый кредит, когда для этого нужны были справка с работы и два поручителя.
С тех пор долги не заканчивались. Он получал большие деньги и спускал их за считаные недели, прожил семь лет в монастыре и даже оттуда умудрился оформить кредит.
Сегодня 62 000 ₽ из …
Героиня выпуска этой недели - Екатерина.
https://youtu.be/kKfe4cnKgdc
Художница и преподавательница рисунка из Санкт-Петербурга, умудрилась залезть в долги на 700 000₽ под 30% годовых.
Всё началось с ремонта, который решила делать своими руками, чтобы сэкономить, а в итоге раздула бюджет с 60 000₽ до 670 000₽, работала на трёх работах без выходных и заедала стресс, набрав 30 кг.
Но, конечно, это был не первый кре…
В анонимные вопросы прислали просьбу обсудить вопрос трат на «заботу о себе» (в аудите мы ее часто называем «бьюти»)
✅Девушки, мужчины - кто что вкладывает в это понятие?
✅И сколько в месяц денег вам в среднем на это необходимо?
Ну что, снова четверг!
А это значит что выходит свеженький, как утренняя выпечка, выпуск Финансового Аудита ☕️🥐
Прежде всего благодарю за то что не забываете ставить лайки и комментировать!
Выпуск: Должны 15 МЛН, но купили ПРЕМИУМ авто | Финансовый Аудит с Сашей (НАЖИМАЙ)
Героиня этой недели Мария.
Риелтор из Питера с 13-летним стажем, мать двоих детей, диплом психоаналитика в кармане, а в реальности два кредита …
Судя по комментариям, данные официальной статистики и ощущения зрителей аудита в вопросах средней и медианной ЗП расходятся.
Давайте соберем свою личную статистику зрителей аудита?
Пишите в комментариях ваш личный доход/доход партнера! Если у вас нерегулярная цифра, пишите средний по году
В формате:
город (Санкт-Петербург)
пол (мужчина/женщина)
зарплата (100.000)
должность (название должности/бизнес/самозанятость)…
Свеженький выпуск финансового аудита уже на канале! (нажимай, чтобы смотреть)
Героиню зовут Анна, и ее кредитная история началась тогда, когда она тайком от мужа брала кредиты на косметологию - общая сумма перевалила за полмиллиона.
Дальше было банкротство, семь лет относительного затишья и снова долги, которые неумолимо растут.
Сейчас дочь-подросток живет у бабушки с дедушкой, а сама Анна работает без выходных, …
СМОТРЕТЬ СЕЙЧАС
Новый понедельничный выпуск уже на канале!
Традиционно очень нужны ваши лайки, просмотры и комментарии 🔥
🔥223❤83❤🔥36⚡9🎉8👍8👏5💯5
Showing the 12 most recent of 24 posts we hold for @afterfinaudit. 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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Саша Рубанов | Финансовый аудит” (@afterfinaudit), 31,218 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/afterfinaudit.
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.