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Channel

ЦФУ ГРУПП — всё о налогах

@cfugrupp

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,655subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001692333845
TypeChannel
Username@cfugrupp
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 11 August 2026
On Telegramt.me/cfugrupp

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cfugrupp/1674 · this entry28 Jul 2026, 10:56 UTC@evchupanov/159828 Jul 2026, 10:56 UTC1.00under a minute
@cfugrupp/1675 · this entry29 Jul 2026, 11:07 UTC@evchupanov/159929 Jul 2026, 11:07 UTC1.00under a minute
@cfugrupp/1676 · this entry30 Jul 2026, 11:16 UTC@evchupanov/160030 Jul 2026, 11:17 UTC1.00under a minute
@cfugrupp/1687 · this entry5 Aug 2026, 06:07 UTC@evchupanov/16105 Aug 2026, 11:11 UTC1.005.1 hours
@cfugrupp/1688 · this entry6 Aug 2026, 16:54 UTC@evchupanov/16116 Aug 2026, 16:54 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@evchupanov12 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (120)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 13 comparable posts for this entry, running 23 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @cfugrupp — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

1,6511,6551,6537 Aug 2026, 10:35 — 1,651 subscribers7 Aug 2026, 10:46 — 1,651 subscribers7 Aug 2026, 23:18 — 1,655 subscribers7 Aug 2026, 10:357 Aug 2026, 23:18
3 measurements taken within a single day, net +4. 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 1,650–1,656 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 23:181,655+4
7 Aug 2026, 10:461,651no change
7 Aug 2026, 10:351,651first reading

Engagement

13 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.8%
avg views ÷ 1,655 subscribers
Avg views / post
246
13 posts measured
Reaction rate
2.32%
reactions ÷ views · ER floor
Posts in window
13
of 13 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held13 (23 July 20267 August 2026)
Views total3,194
Reactions total74
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:52 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.

Reaction mix

74 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 48.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3648.6%
1216.2%
🔥79.46%
💯45.41%
💔34.05%
😱34.05%
🙏34.05%
22.70%
🤔22.70%
🤮22.70%

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 13 of the 13 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 23 July 2026 to 7 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.

Recent posts

7 Aug 2026, 12:46 UTC88 views6 reactionsread 7 August 2026
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🤝 Налоговая отсрочка при потере товара на Wildberries: как применить ст. 64 НК РФ? Из-за атак БПЛА на склады маркетплейса многие селлеры остались без операционной выручки перед очередным налоговым периодом. Чтобы ФНС не заморозила оставшиеся средства, используйте механизм статьи 64 НК РФ. Он позволяет на законных основаниях сдвинуть сроки уплаты налогов, причем без начисления процентов за просрочку. 📎 Инициатива АУ

👍3🙏2🔥1

7 Aug 2026, 08:35 UTC102 views3 reactionsread 7 August 2026
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🤖 «Карманный консультант» 11:0: арбитражные дела, коды ТН ВЭД и умное распознавание сканов Мы выпустили глобальное обновление «Карманного консультанта»: добавили интеграцию с судебной базой, запустили функционал для ВЭД и повысили точность анализа объемных документов. 🤩 Интеграция с Картотекой арбитражных дел Теперь в сервисе можно искать и анализировать судебную практику напрямую через kad.arbitr.ru. Добавили:

👍2🔥1

6 Aug 2026, 16:54 UTC152 views7 reactionsread 7 August 2026
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🧑🏻‍⚖️ Верховный суд обобщил практику по коррупционным преступлениям в новом тематическом обзоре. Суды получили зеленый свет на тотальный аудит скрытых бенефициаров, ревизию семейных бюджетов и отмену «бумажных» договоров купли-продажи. Главные выводы для бизнеса 👇 ⭐️️️️️️️ Кейс №1: Бизнес отвечает за взятки чиновникам Суть дела: Предприниматель дал взятку госслужащему, чтобы получить монопольный доступ к аренде го

👍3🤮21🔥1

5 Aug 2026, 06:07 UTC182 views5 reactionsread 7 August 2026
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⚠️ Копеечные долги на ЕНС превращаются в миллионные доначисления Небольшой долг на едином налоговом счёте может обернуться доначислениями на сотни тысяч или миллионы рублей. Регионы могут снижать ставки УСН и устанавливать условия для их применения. В некоторых субъектах бизнес может получить льготу лишь при отсутствии налоговой задолженности на определённую дату. ☝🏻 В этом случае даже несколько рублей пеней, неуп

3👍2

4 Aug 2026, 06:02 UTC281 views8 reactionsread 7 August 2026
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👩🏻‍💻 Работать с самозанятыми дальше или искать замену: что делать бизнесу с 1 октября 2026 года? С октября вступают в силу новые правила работы с самозанятыми через цифровые платформы. Вводится лимит: один исполнитель может работать на одного заказчика не более 60 часов в месяц в течение полугода. Новые правила затронут исполнителей, чьи заказчики работают в сферах с высоким риском подмены трудовых отношений. Это,

👍42💯2

3 Aug 2026, 09:17 UTC266 views4 reactionsread 7 August 2026
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🚀 ФНС следит за бизнесом из космоса 4 судебных дела, которые это доказывают ⤵️ Налоговый контроль официально вышел на космический уровень. Если раньше инспекторы ФНС искали нестыковки в декларациях и актах, то сегодня они подключают к проверкам орбитальные спутники. Таймлапсы из космоса и ретроспективные снимки мгновенно вскрывают, что происходило на объектах бизнеса месяцы и годы назад. 👩🏻‍💻 Суды охотно принимают

👍31

31 Jul 2026, 08:02 UTC271 views7 reactionsread 7 August 2026
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⛽️ Как списать расходы на бензин, чтобы снизить налог на УСН Острая фаза бензинового кризиса пока что миновала, но издержки бизнеса всё равно возросли. Нужно пользоваться любой возможностью сэкономить. Например, предприниматели на УСН «Доходы минус расходы» могут воспользоваться возможностью списать расходы на бензин, чтобы снизить налог. 🚗 Расходы на ГСМ можно учесть при условии, они связаны с бизнесом, оплачены

👍32🔥2

30 Jul 2026, 11:16 UTC335 views8 reactionsread 7 August 2026
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💔 После атаки беспилотников на склады Wildberries один из главных вопросов селлеров — что делать, если товары сгорели. По оферте маркетплейса атака БПЛА — обстоятельство непреодолимой силы и платить компенсацию за сгоревший товар Wildberries не должен. Тем не менее компания уже объявила, что окажет поддержку продавцам. Подготовили пошаговый план, который поможет ускорить получение компенсации: 1️⃣ Зафиксируйте об

👍3💔32

29 Jul 2026, 11:07 UTC294 views6 reactionsread 7 August 2026
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😬 ЕГРЮЛ пустеет на глазах: минус 118 000 компаний за полгода За первую половину 2026 года в РФ прекратили деятельность 118,7 тысяч компаний. Но самое интересное — как именно они закрылись. Самостоятельно и добровольно ушли лишь 14,4% организаций. Остальные 85,6% — это результат «чистки» ЕГРЮЛ со стороны налоговой. 📎 За что ФНС ликвидирует компании? 3 главные причины принудительного закрытия: 🔵 Недостоверные данны

🤔2😱2👍1🔥1

28 Jul 2026, 10:56 UTC279 views4 reactionsread 7 August 2026
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💵 Зарплата ниже рынка? готовьтесь объясняться с налоговой! В ответ на требование налоговой пояснить уровень зарплаты ссылка на соответствие МРОТ уже недостаточно: если выплаты заметно отличаются от средних по отрасли и региону, ИФНС может запросить пояснения или вызывать работодателя на комиссию. 🔍 Масштаб такой работы виден на примере Татарстана: в I полугодии 2026 года году налоговики заслушали 2308 организаций,

👍21🔥1

27 Jul 2026, 09:47 UTC272 views7 reactionsread 7 August 2026
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🚀 3 инструмента от ЦФУ ГРУПП для безопасного роста вашего бизнеса Штрафы ФНС, заблокированные счета и конфискация товаров на таможне — сегодняшняя бизнес-реальность для тех, кто продолжает надеяться на «авось» или серые схемы. Для тех, кто выбирает безопасный рост, работают эксперты ЦФУ ГРУПП. Мы забираем всю сложную рутину под свой контроль, чтобы вы могли спокойно заниматься продуктом и продажами. Три ключевых н

👍3💯21🙏1

24 Jul 2026, 08:07 UTC297 views3 reactionsread 7 August 2026
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⚠️ ФНС навязывает крупному ритейлу функцию налогового контроля С 1 сентября ФНС запускает эксперимент с участием 34 компаний сферы из розничной и электронной торговли. Цель — сократить зарплатные схемы у подрядчиков, которые предоставляют бизнесу курьеров, кассиров, грузчиков, упаковщиков и другой персонал. Сейчас заказчик перечисляет подрядчику всю сумму по договору. Тот сам платит работникам, рассчитывает налоги

👍3

Showing the 12 most recent of 13 posts we hold for @cfugrupp. 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.

Citation-graph rank

Citation-graph rank — 426,504 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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.

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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“ЦФУ ГРУПП — всё о налогах” (@cfugrupp), 1,655 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/cfugrupp.

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.