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 11 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
31 measurements spanning 42 days, net -100. 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 10,662–10,803 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:19
10,682
+4
16 Sept 2026, 12:17
10,678
-10
14 Sept 2026, 17:16
10,688
-5
13 Sept 2026, 04:58
10,693
-5
11 Sept 2026, 04:17
10,698
-11
8 Sept 2026, 03:14
10,709
-15
4 Sept 2026, 22:21
10,724
+6
3 Sept 2026, 09:33
10,718
+2
2 Sept 2026, 04:53
10,716
-4
1 Sept 2026, 03:36
10,720
-1
31 Aug 2026, 05:04
10,721
-4
30 Aug 2026, 06:43
10,725
-6
29 Aug 2026, 03:15
10,731
-1
28 Aug 2026, 06:03
10,732
+2
27 Aug 2026, 04:02
10,730
-9
26 Aug 2026, 04:04
10,739
+1
25 Aug 2026, 03:33
10,738
-9
24 Aug 2026, 00:06
10,747
-9
22 Aug 2026, 05:18
10,756
-3
20 Aug 2026, 21:28
10,759
first reading
Engagement
28 posts held, back to 3 June 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.59%
avg views ÷ 10,682 subscribers
Avg views / post
704
3 posts measured
Reaction rate
0.435%
reactions ÷ views · ER floor
Posts in window
3
of 28 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 August 2026
Posts held
28 (3 June 2026 – 31 August 2026)
Views total
2,113
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 20:26 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
4m 47s
Average length
32s
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
132 reactions across 24 posts, in 9 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
58
43.9%
❤
49
37.1%
👍
10
7.58%
🙏
9
6.82%
🙊
2
1.52%
💋
1
0.758%
💔
1
0.758%
😁
1
0.758%
😡
1
0.758%
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 28 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 132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 3 June 2026 to 31 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.
🟦🟦🟦🟦
Уже завтра начнут действовать новые требования к составу КЭП, которая применяется для отчетности в СФР
🗓 С 1 сентября обязательным параметром в полях сертификата будет наличие отдельного дополнительного атрибута – «Согласование ключей» (keyAgreement)
📍 Найти его можно в «Сведениях о сертификате» 👉 «Состав» 👉 «Использование ключей» 👉 должно присутствовать значение «Согласование ключей».
✅ Если вы получали сер…
ТЮМЕНЬ | 27 АВГУСТА | ОФФЛАЙН
🗓 С 1 сентября ЭТрН становится обязательной: приглашаем на семинар
Налоговый комитет ТПП Тюменской области приглашает предпринимателей и компании на практический семинар, посвящённый переходу на электронные транспортные накладные (ЭТрН) — цифровой аналог привычной бумажной транспортной накладной.
⏱️27 августа, 12:00
📍ул. 25 Октября, 23А, стр. 1, Тюмень -- «Контора пароходства» (малый …
Налоговые проверки для предпринимателей, пострадавших от атак БПЛА на объекты группы «РВБ», останавливаются до конца года.
Соответствующие постановления Минфин внёс в Правительство РФ.
Кроме того:
🗓 приостанавливаются проверки правильности исчисления и уплаты страховых взносов и течение связанных с ними процессуальных сроков;
🗓 на 6 месяцев продлеваются предельные сроки направления требований об уплате задолженно…
«Все 12 системно значимых банков, а это более 80% платежного рынка, с 1 сентября готовы дать своим клиентам возможность открывать счета цифровых рублей и проводить операции с ними»
, — заявила в интервью РИА Новости директор департамента национальной платежной системы Банка России Алла Бакина.
🗓 1 сентября в мобильных приложениях системно значимых банков и кредитных организаций, признанных значимыми на рынке платёжн…
🔥Только представьте: более 10 000 предпринимателей, более 100 спикеров и из них 17 — эксперты ФАБА!
Наша секция «БИЗНЕС И ВЛАСТЬ»
🗓 9, 10 и 11(!) сентября приглашаю вас в Санкт-Петербург на главное событие для малого и среднего бизнеса в России! Это не я так придумала, это официальная позиция Минэкономразвития😉
Увидимся с вами в Экспофоруме. Будет невероятное количество полезных тем. Наша Ассоциация делает отдельн…
📈 ИИ-аналитика и инфляция привели к росту статистики налоговых преступлений
🔴С января по июнь 2026 года в стране выявили 3362 преступления, связанных с налогами. Это следует из ежемесячного доклада МВД «Состояние преступности в России».
🔴По сравнению с прошлым годом показатель увеличился на 17,2%. Руководитель головного штаба ФАБА и эксперт по налоговой безопасности Тигран Аракелян объясняет этот рост несколькими ф…
Сегодня я в Перми👋
Совместно с одними из сильнейших и опытнейших руководителей бухгалтерских компаний, одних из лидеров нашей отрасли в стране:
🫂Ольгой Екимовских @OlgaEkimovskikh - руководителем ФАБА-Екатеринбург и
🫂Натальей Крыжнюк @natalia_kryzhnyuk - руководителем ФАБА-Пермь
Мы проводим первый закрытый 2-х дневный тренинг ФАБА, на котором делимся своим опытом и каждый из участников может поделиться своим + зад…
🔸 Банк России рекомендует кредиторам поддержать предпринимателей, пострадавших от атак на логистические центры, склады и другие объекты.
▶️ В информационном письме отмечается, что за реструктуризацией смогут обратиться представители малых и средних предприятий.
🔴 "Кредиторам следует воздержаться от начисления штрафов и пеней за просроченные платежи, а также не требовать досрочного погашения кредита. При этом Банк Р…
🔥Только представьте: 10 000 предпринимателей, более 100 спикеров и из них 17 — эксперты ФАБА!
🗓 9, 10 и 11(!) сентября приглашаю вас в Петербург на главное событие для малого и среднего бизнеса в России! Это не я так придумала, это официальная позиция Минэкономразвития😉
Увидимся с вами в Экспофоруме. Будет невероятное количество полезных тем. Наша Ассоциация делает отдельную программу, все подробности ещё расскажу,…
На днях была на «Иннопроме-2026», выступала в Законодательном собрании Свердловской области в секции «Женский почерк в бизнесе». Говорила про опыт построения сообщества и результаты. Большинство членов ФАБА — девушки, есть такая особенность у бухгалтеров.
Одна из наших главных целей — цивилизованное предпринимательство в России. И эта большая идея сегодня горит в головах лидеров в самых разных регионах страны. Женс…
✈️ Через 2 недели лечу в Петербург! 18 июля в составе экспертной группы буду разбирать вопросы участников семинара. Могу смело сказать — это то событие, которое помогает пересмотреть свои подходы к фискальной безопасности. Все подробности тут👇
🗓 7 июля буду выступать в Законодательном собрании Свердловской области. Это будет масштабный форум, посвящённый женскому предпринимательству.
🔵 Там я поделюсь опытом развития Ассоциации и тем, как ФАБА взаимодействует с бизнесом и властью.
👉 Почитайте подробности в статье на РБК
☺️ И, конечно, буду рада увидеться со всеми лично!
💃 Женщины-предприниматели: регистрация на форум в Екатеринбурге - здесь
🔥8❤1
Showing the 12 most recent of 28 posts we hold for @nalog_kons. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 28 most recent posts we hold, published 3 June 2026 to 31 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Светлана Беляева | АФиНА @taxrisk · 25,421 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 14 September 2026
Ряховский: Налоги без фильтра @ryahovskiynalogii · 35,349 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 2 September 2026
Оксана Каверина | бухгалтерия, налоги и финансы @upb_nalogi · 37,139 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 1 September 2026
Канал "Учёт без забот" @uchetbezzabot_1c · 39,649 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 30 August 2026
Налоги для предпринимателей @businessololo · 24,600 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 15 September 2026
Евгения Мемрук бухгалтер @biznesinalogi_tlg · 82,355 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 18 August 2026
ФНС России @nalog_gov_ru · 89,885 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 17 August 2026
Налоги, законы и бизнес. Марат Самитов @oooavirta · 56,312 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 23 August 2026
Бухгалтерский юмор 🤪 @buhast · 31,165 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 6 September 2026
Нетипичный бухгалтер 🥇 @netipichniy_buh · 78,469 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 19 August 2026
1С для бухгалтера ❤️ @buhi1c · 37,935 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 31 August 2026
Налог-Налог.ру @nalognalogru · 24,820 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 15 September 2026
Журнал "Упрощёнка" @uproshchenka · 22,827 Telegram ranks this channel #17 of 95 here — alongside 94 others — read 19 September 2026
Бухэксперт @buhexpert8 · 75,798 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 19 August 2026
Журнал "Главбух" @eglavbukru · 83,082 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 18 August 2026
Система Главбух @sistemaglavbukh · 25,831 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 13 September 2026
Бухучет, налоги, 1С @buhru · 35,379 Telegram ranks this channel #22 of 95 here — alongside 94 others — read 2 September 2026
Мы́тарь @mytar_rf · 27,508 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 10 September 2026
Контур для бухгалтера @externjournal · 43,297 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 28 August 2026
ГАРАНТ. Новости законодательства @garantnews · 24,626 Telegram ranks this channel #47 of 92 here — alongside 91 others — read 15 September 2026
Финансовый директор | Мастер CFO @findir_pro · 44,104 Telegram ranks this channel #52 of 94 here — alongside 93 others — read 28 August 2026
Олеся Седова @sedova_olesya_szr · 28,120 Telegram ranks this channel #54 of 74 here — alongside 73 others — read 13 September 2026
Тот самый 115-ФЗ @tot115fz · 26,517 Telegram ranks this channel #57 of 70 here — alongside 69 others — read 12 September 2026
Переводчик с бухгалтерского @accwhisper · 50,729 Telegram ranks this channel #69 of 96 here — alongside 95 others — read 25 August 2026
This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Налог.Консультант / nalog.konsultant” (@nalog_kons), 10,682 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nalog_kons.
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.