Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
65 measurements spanning 99 days, net -409. 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 25,148–25,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 14:57
25,209
-9
10 Nov 2026, 09:16
25,218
-25
8 Nov 2026, 19:47
25,243
-7
7 Nov 2026, 13:38
25,250
-12
6 Nov 2026, 12:28
25,262
+1
5 Nov 2026, 12:19
25,261
-3
4 Nov 2026, 12:29
25,264
-2
3 Nov 2026, 14:55
25,266
-9
2 Nov 2026, 13:30
25,275
-10
1 Nov 2026, 10:16
25,285
-8
31 Oct 2026, 11:28
25,293
-12
30 Oct 2026, 13:10
25,305
-3
29 Oct 2026, 10:08
25,308
-10
27 Oct 2026, 11:06
25,318
-4
26 Oct 2026, 11:07
25,322
-6
25 Oct 2026, 09:34
25,328
-3
24 Oct 2026, 09:50
25,331
-13
23 Oct 2026, 10:27
25,344
-1
22 Oct 2026, 09:49
25,345
-13
21 Oct 2026, 04:21
25,358
first reading
Engagement
308 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 160 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.08%
avg views ÷ 25,209 subscribers
Avg views / post
1,030
108 posts measured
Reaction rate
1.72%
reactions ÷ views · ER floor
Posts in window
110
of 308 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 November 2026
Posts held
308 (30 July 2026 – 12 November 2026)
Views total
111,164
Reactions total
1,914
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 12:02 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
1h 10m
Average length
1m 26s
Measured directly from 49 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
5,052 reactions across 296 posts, in 23 distinct kinds. The most used accounts for 30.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,560
30.9%
❤
986
19.5%
👍
611
12.1%
❤🔥
473
9.36%
⚡
440
8.71%
👏
318
6.29%
💯
234
4.63%
👌
117
2.32%
🥰
87
1.72%
🤣
54
1.07%
👀
39
0.772%
🎉
24
0.475%
😍
24
0.475%
😁
19
0.376%
😡
15
0.297%
😱
10
0.198%
🤗
10
0.198%
🤯
10
0.198%
🙏
7
0.139%
🤔
5
0.099%
3 further kinds
9
0.178%
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 304 of the 308 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 5,193 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 308 most recent posts we hold, published 30 July 2026 to 12 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
3
across the posts below
Posts paid on
3
of 306 we hold a reading for · 1.0%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @taxrisk. 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 308 most recent posts we hold for this entry, published 30 July 2026 to 12 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: 50 of 110 posts held from the last 30 days (45.5%) 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).
Несмотря на динамичное изменение налогового контроля, до сих пор бизнес очень медленно перестраивается, и это порождает колоссальные финансовые, субсидиарные и уголовные последствия. По моим наблюдениям, самые дорогие вопросы в бизнесе часто начинаются со слов: «Мы всегда так делали»:
• Так выбирали контрагентов
• Так начисляли премии
• Так распределяли выручку между компаниями
• Так учитывали расходы
• Так...так...…
Коллеги, в Библиотеку вебинаров добавили запись сегодняшнего практикума «Налоговое планирование 2027», получилось почти 3,5 часа.
А также новую методичку «Изменения в налогах 2027», презентацию практикума на 200+ страниц, Excel-таблицу по всем основным налоговым режимам для расчета нагрузки на 2027 год.
➡️ Клуб АФИНА
Что изменится в налогах с 1 января 2027 года
7️⃣ НКО: что изменится в страховых взносах
Для НКО и благотворительных организаций на УСН размеры страховых взносов повышаются:
- 15% - с выплат, в пределах установленной единой предельной величины базы для исчисления страховых взносов (в 2026 г. тариф составляет 7,6%);
- 7,6% - с выплат, свыше единой предельной величины базы для исчисления страховых взносов (в 2026 г.…
Еду с конференции Авито. Один из вопросов, которые сегодня обсуждали - Какие сейчас тренды в бухгалтерских и консалтинговых услугах?
Мне кажется эти тренды очевидны, если посмотреть на то, что происходит:
- уже ни у кого не вызывает сомнений то, что налоговый контроль усиливается с огромной скоростью
- а так же трудно подвергать сомнению цифры - 95% налоговых споров налогоплательщики проигрывают
Поэтому тренд в у…
Сегодня в крупных СМИ появилась новость:
ФНС начала проверять то, что раньше ее «никогда не интересовало», — расходы бизнеса на режиме УСН «доходы».
Но кто в курсе, понимает, что это вообще не новость, так было всегда.
Просто мы вошли в эру усиленного налогового контроля и то, до чего вчера у налоговой не дотягивались руки, сегодня дотягивается автоматизация контроля.
Готова провести для вас практикум по самостоя…
Изменения в налогах 2027 - продолжаем разбирать
5️⃣️️️️️️ Имущественные налоги компаний: порядок уплаты налога на имущество по кадастровой стоимости, транспортного и земельного налогов
Что меняется:
- Налог и авансовые платежи рассчитывает ФНС, а компания платит на основании полученного сообщения об исчисленных суммах.
- Уведомления для ЕНП по этим налогам сдавать не нужно, начиная с первого отчетного периода 202…
Когда-то я собирала журналы, в которых выходили мои статьи. И было особенно приятно, когда названия печатались на обложках как главная новость выпуска 😉
Два дня назад вышел Московский Комсомолец с моими комментариями к статье «Налоговая выставила счет: что россиянам нужно оплатить до 1 декабря»
А потом я узнала, что он опубликован не только в электронном формате, но и в печатном издании газеты
«Московский Комсомол…
Поздравляю с Международным Днем Бухгалтера!
Желаю, чтобы каждый день вы чувствовали значимость своей работы, уважение коллег и клиентов, интерес к профессиональному росту!
В этот день 10 ноября 1494 года в Венеции вышла книга монаха и математика Луки Пачоли, где впервые в печати был подробно описан метод двойной записи.
Несколько интересных фактов о празднике и связанных с ним событиях:
🌺️️️️️️ Книга вышла через …
Недавно писала, от том, что по итогам первого полугодия 2026г. налогоплательщики проиграли 95% споров с налоговым органом.
И следующая новость - Минфин подготовил законопроект, который предусматривает масштабное изменение процедуры досудебного урегулирования налоговых споров. Пересматривается порядок взаимодействия налогоплательщика с налоговыми органами при обжаловании решений.
То есть суды с налоговой уходят в пр…
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❤5🔥2❤🔥1👍1👏1🤗1
Showing the 12 most recent of 308 posts we hold for @taxrisk. 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.
Posts edited after publishing
@taxrisk edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
26 August 2026
Most recent edit
12 November 2026
Posts recorded as deleted after publishing
We recorded 46 posts on @taxrisk as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
40 hours
Seen missing in the last 30 days
14
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 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Переводчик с бухгалтерского @accwhisper · 50,493 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 25 August 2026
Бухэксперт @buhexpert8 · 75,272 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 19 August 2026
Канал "Учёт без забот" @uchetbezzabot_1c · 39,353 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 30 August 2026
Ряховский: Налоги без фильтра @ryahovskiynalogii · 35,292 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 2 September 2026
Налог-Налог.ру @nalognalogru · 24,629 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 15 September 2026
Евгения Мемрук бухгалтер @biznesinalogi_tlg · 81,842 Telegram ranks this channel #16 of 94 here — alongside 93 others — read 18 August 2026
Типичный Бухгалтер @typical_buh · 19,870 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 29 September 2026
Система Главбух @sistemaglavbukh · 25,688 Telegram ranks this channel #17 of 95 here — alongside 94 others — read 13 September 2026
Бухучет и налоги от «Клерк.Ру» @klerkonline · 20,496 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 27 September 2026
Журнал "Упрощёнка" @uproshchenka · 22,723 Telegram ranks this channel #21 of 95 here — alongside 94 others — read 19 September 2026
Оксана Каверина | бухгалтерия, налоги и финансы @upb_nalogi · 36,849 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 1 September 2026
Бухгалтерский квартал @buhgalteriaLL · 22,226 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 20 September 2026
Бухучет, налоги, 1С @buhru · 35,187 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 2 September 2026
Налоги, законы и бизнес. Марат Самитов @oooavirta · 55,905 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 23 August 2026
Налоговые споры @nalogi_sud · 23,344 Telegram ranks this channel #28 of 92 here — alongside 91 others — read 18 September 2026
Финансовый директор @financ_director · 20,874 Telegram ranks this channel #32 of 94 here — alongside 93 others — read 25 September 2026
ФНС России @nalog_gov_ru · 89,464 Telegram ranks this channel #34 of 96 here — alongside 95 others — read 17 August 2026
Финансовый директор | Мастер CFO @findir_pro · 44,274 Telegram ranks this channel #35 of 94 here — alongside 93 others — read 28 August 2026
Нетипичный бухгалтер 🥇 @netipichniy_buh · 77,912 Telegram ranks this channel #35 of 94 here — alongside 93 others — read 19 August 2026
Журнал "Главбух" @eglavbukru · 82,296 Telegram ranks this channel #36 of 96 here — alongside 95 others — read 18 August 2026
Бухгалтерский юмор 🤪 @buhast · 31,046 Telegram ranks this channel #40 of 82 here — alongside 81 others — read 6 September 2026
1С для бухгалтера ❤️ @buhi1c · 37,799 Telegram ranks this channel #43 of 89 here — alongside 88 others — read 31 August 2026
Мы́тарь @mytar_rf · 27,341 Telegram ranks this channel #55 of 89 here — alongside 88 others — read 10 September 2026
Контур для бухгалтера @externjournal · 42,893 Telegram ranks this channel #66 of 94 here — alongside 93 others — read 28 August 2026
This channel appears in 24 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Светлана Беляева | АФиНА” (@taxrisk), 25,209 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/taxrisk.
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.