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Channel

fi.center — Финансовые расследования и судебные экспертизы

@ficenter

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

3,642subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001646342135
TypeChannel
Username@ficenter
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 live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/ficenter

Growth

3,6423,6443,6437 August 2026 — 3,644 subscribers7 August 2026 — 3,644 subscribers10 August 2026 — 3,642 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -2. 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 3,642–3,644 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 20:553,642-2
7 Aug 2026, 20:343,644no change
7 Aug 2026, 12:483,644first reading

Engagement

15 posts held, back to 17 April 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
19.1%
avg views ÷ 3,642 subscribers
Avg views / post
697
3 posts measured
Reaction rate
2.11%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 30 July 2026
Posts held15 (17 April 202630 July 2026)
Views total2,090
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:58 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
25s
Average length
25s

Measured directly from 1 video 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

318 reactions across 14 posts, in 19 distinct kinds. The most used accounts for 36.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11536.2%
👍5116.0%
3912.3%
custom 5237847346301131891288.81%
165.03%
😱123.77%
113.46%
👏113.46%
💯51.57%
🥰51.57%
🆒41.26%
🤔41.26%
🤩41.26%
😁30.943%
😎30.943%
custom 525621476964750754020.629%
🙉20.629%
🫡20.629%
🤝10.314%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 14 of the 15 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 318reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 17 April 2026 to 30 July 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
15
across the posts below
Posts paid on
1
of 14 we hold a reading for · 7%
Most on one post
15
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ficenter. 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 15 most recent posts we hold for this entry, published 17 April 2026 to 30 July 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

30 Jul 2026, 11:13 UTC423 views16 reactionsread 7 August 2026
Forwarded from @parentaladvisorytax

В своих письмах налоговая служба интересуется у неработающих москвичей уровнем и качеством их трудоспособности, чтобы использовать её на благо Родины и населения.

🔥10😁32🤝1

20 Jul 2026, 12:12 UTC856 views14 reactionsread 7 August 2026
Forwarded from @kogonadoadvokatPhoto

📌Известный футболист Матвей Сафонов подал жалобу в Конституционный суд России из-за высоких алиментов 🔗 Член сборной России по футболу и вратарь ПСЖ просит проверить конституционность пункта 1 статьи 81 Семейного кодекса РФ. Футболист считает, что применение принципа расчёта фиксированной доли для уплаты алиментов в случае сверхвысоких доходов плательщика во много раз превышает разумный предел для ребёнка и ведёт к

🔥9😎3🫡2

16 Jul 2026, 14:25 UTC811 views14 reactionsread 7 August 2026
Forwarded from @lci_moscowPhoto

🩵 Копия диска и образ диска: в чём разница и почему это важно для суда Юристы, вы наверняка слышали от экспертов фразы «сделали побитовое копирование» или «создали образ диска». А иногда в документах фигурирует просто «копия файлов». Это одно и то же? Нет. И разница критическая. 🩵 Копия файлов (простое копирование) Это то, что вы делаете каждый день: выделили папку, нажали Ctrl+C, вставили на флешку. Что получаем:

👍10🔥4

10 Jul 2026, 13:13 UTC828 views19 reactionsread 7 August 2026
Forwarded from @rfcsePhoto

⚽️ Чемпионат мира по футболу—2026 подходит к своей кульминации, и страсти вокруг него накаляются. Одним из самых громких скандалов мундиаля стала реакция Парагвая на проигрыш собственной сборной. В 1/8 финала сборная латиноамериканского государства уступила Франции со счетом 1:0. Победный год забил нападающий Килиан Мбаппе. Болельщики и профессиональное сообщество раскритиковали судью из Узбекистана, который не нака

🔥9👍4custom 52378473463011318914🙉2

3 Jul 2026, 06:04 UTC939 views14 reactionsread 7 August 2026
Forwarded from @AnticorExperts

⚖️ Верховный Суд систематизировал практику по коррупционным делам Президиум Верховного Суда утвердил обзор судебной практики по делам о противодействии коррупции и обращении имущества в доход государства. Документ обобщает подходы судов за 2020–2026 годы и фактически становится ориентиром для дальнейшего рассмотрения подобных споров. Ключевые правовые позиции: ▪️ Конфликт интересов трактуется шире. Личная заинтере

👍7🔥4😱21

27 Jun 2026, 18:26 UTC≈1,060 views30 reactionsread 7 August 2026
Forwarded from @rfcseVideo

⚡️ Завтра, 28 июня, День судебного эксперта! И встретить его можно почти как Новый год. Ровно в 00:00 на медиафасаде Останкинской телебашни начнётся трансляция ролика о профессии судебного эксперта. Отметить праздник можно будет уже с первых его минут в тёплую летнюю ночь. Ролик будет идти весь день. 562 раза.

🔥165🥰5🤩4

16 Jun 2026, 06:53 UTC≈1,300 views16 reactionsread 7 August 2026
Forwarded from @criminaljusticio

✈️ Ошибки эксперта привели к отмене приговора Суд первой инстанции признал вице-президента авиакомпании виновным в злоупотреблении полномочиями (ст. 201 УК). По мнению суда, он вносил в систему бронирования авиабилетов и обслуживания пассажиров "Леонардо" корректировки о наличии дополнительных мест на авиарейсы по более низким тарифам, чем установлено квотами перевозчика, сообщая выгодоприобретателю о дате и времен

75👍4

15 Jun 2026, 08:05 UTCviews —

fi.center — Финансовые расследования и судебные экспертизы pinned «Ура, други. Выпуск уже на канале. Все о корпоративном мошенничестве вы можете узнать на YouTube и VK видео»

15 Jun 2026, 08:02 UTC≈1,190 views36 reactions15 Starsread 7 August 2026
Forwarded from @awall_pro

Ура, други. Выпуск уже на канале. Все о корпоративном мошенничестве вы можете узнать на YouTube и VK видео

🔥17👏86custom 52378473463011318915

8 Jun 2026, 10:16 UTC≈1,370 views38 reactionsread 7 August 2026
Forwarded from @awall_proPhoto

Друзья, на моем канале давно не было больших форматов. Но! Спешу вас порадовать. Уже завтра в 15.00 выйдет невероятно содержательный разговор о том, как спасти свой бизнес в 2026 г. В гостях AWALL podcast судебный эксперт по финансовым расследованиям, автор книги о корпоративном мошенничестве Сергей Ефимов. Обсуждаем, кто опаснее для бизнеса: государственные регуляторы, внешние мошенники или собственные сотрудники. Д

🔥20custom 52378473463011318911053

8 Jun 2026, 06:41 UTC≈1,040 views10 reactionsread 7 August 2026
Forwarded from @forbesrussia

Объем наличных денег в обращении в России вырос в мае на 381,2 млрд рублей и превысил 1 трлн рублей, следует из данных Центробанка. Для мая это максимальный прирост за время раскрытия такой статистики — с 1995 года. ЦБ видит две причины увеличения спроса на наличность — желание населения иметь ее «про запас» и адаптацию бизнеса к повышению налогов

💯5👍4🔥1

28 May 2026, 09:52 UTC≈1,430 views30 reactionsread 7 August 2026
Forwarded from @legalbabushka

ФНС и ЦБ РФ взялись за контроль переводов нас, физлиц, чтобы вывести из «серой зоны» доходы, которые маскируются под "обычные переводы". Государство, сначала обложив всех налогами по самоенемогу, теперь стремится пресечь незаконную предпринимательскую деятельность. Как же! Граждане систематически получают доход, не регистрируются в качестве ИП или самозанятых и, естественно, не уплачивают налоги. Причины, почему эт

😱109🔥5🤔4👍2

Showing the 12 most recent of 15 posts we hold for @ficenter. 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.

Citation-graph rank

Citation-graph rank — 723,230 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

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 2 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.

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.

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

“fi.center — Финансовые расследования и судебные экспертизы” (@ficenter), 3,642 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ficenter.

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.