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Channel

GSOM_Center of Market Efficiency and Applied Finance Research

@GSOM_Center_finance

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

663subscribers

+100 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002088940352
TypeChannel
Username@GSOM_Center_finance
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live6 November 2026
Measurements held11
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/GSOM_Center_finance

Topic

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 20 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@GSOM_Center_finance/453 · this entry25 May 2026, 16:00 UTC@GSOM_FinFamily/11525 May 2026, 16:00 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@GSOM_FinFamily6 (6/6 hand-verifiable sample passed)1.00under a minuteeven

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 12 comparable posts for this entry, running 3 April 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @GSOM_FinFamily. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

559668613.57 August 2026 — 563 subscribers8 August 2026 — 563 subscribers14 August 2026 — 561 subscribers21 August 2026 — 559 subscribers7 September 2026 — 625 subscribers15 September 2026 — 623 subscribers29 September 2026 — 627 subscribers10 October 2026 — 629 subscribers17 October 2026 — 630 subscribers31 October 2026 — 668 subscribers6 November 2026 — 663 subscribers6637 August 20266 November 2026
11 measurements spanning 91 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 543–684 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Nov 2026, 12:26663-5
31 Oct 2026, 00:36668+38
17 Oct 2026, 13:18630+1
10 Oct 2026, 10:01629+2
29 Sept 2026, 06:59627+4
15 Sept 2026, 16:57623-2
7 Sept 2026, 05:00625+66
21 Aug 2026, 01:04559-2
14 Aug 2026, 22:14561-2
8 Aug 2026, 03:33563no change
7 Aug 2026, 17:23563first reading

Engagement

12 posts held, back to 3 April 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

30 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1550.0%
🔥826.7%
👍723.3%

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 11 of the 12 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 3 April 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, 12:03 UTC127 views4 reactionsread 8 August 2026
Photo

Выпускницы ВШМ СПбГУ заняли 1-е и 3-е места в конкурсе студенческих работ Cbonds! 4 августа 2026 года наш многолетний партнер — агентство Cbonds — подвело итоги VII конкурса студенческих работ по рынку облигаций. И наши выпускницы показали блестящий результат! 🥇 1-е место — Полина Кулькова, выпускница бакалавриата образовательной программы «Менеджмент» 2026 года. Исследование: «Оценка справедливой стоимости структур…

❤4

20 Jul 2026, 14:10 UTC163 views2 reactionsread 8 August 2026
Forwarded from @gsom_spbu_official

❓ Как построить успешную научную карьеру и внести свой вклад в развитие управленческой мысли? ➡ Учёба в аспирантуре позволит вам погрузиться в академическую среду, откроет доступ к передовым методологиям, даст возможность публиковаться в ведущих журналах и работать в тесном контакте с признанными экспертами. Вы сможете развить исследовательские компетенции, освоить навыки преподавания, участвовать в международных ко…

🔥2

1 Jul 2026, 13:25 UTC200 views3 reactionsread 8 August 2026
Forwarded from @GSOM_FinFamilyPhoto

Какие навыки помогут построить сильную карьеру в будущем? Финансовая индустрия сегодня быстро меняется: появляются новые технологии, трансформируются банки, меняются ожидания работодателей и требования к специалистам. Поэтому всё важнее понимать не только, где работать после выпуска, но и какие компетенции стоит развивать уже сейчас. В пятницу, 3 июля, в 14:00 пройдёт встреча с Дмитрием Брейтенбихером, членом Правл…

👍3

26 Jun 2026, 19:20 UTC829 viewsread 8 August 2026
Photo

Образовательная программа по налогообложению и праву от Технологий Доверия ТеДо-Сфера: Налоги и налоговая система России (ранее Tax-a-Land) — это уникальная образовательная программа, которая станет твоим проводником в мире налогов и права. Мы создали ее, чтобы помочь тебе не только получить актуальные знания, но и научиться применять их на практике. Это твой шанс стать уверенным специалистом, который разбирается в …

11 Jun 2026, 16:13 UTC266 views1 reactionsread 8 August 2026
Forwarded from @kartaevmacro

Этот блог читают многие студенты, увлеченные макроэкономикой, а также их научные руководители. Поэтому хочу рассказать про новую олимпиаду по денежно-кредитной политике. Олимпиаду совместно проводят экономический факультет МГУ и Банк России. Все детали можно прочитать вот тут: https://www.econ.msu.ru/departments/mma/mpo/ Заочный тур начнется в сентябре, а очный финал состоится в конце октября. Это командное состяза…

🔥1

25 May 2026, 16:00 UTC227 views1 reactionsread 8 August 2026
Forwarded from @gsom_spbu_officialPhoto

❓ Как производственным компаниям удерживать позиции на рынке и стремиться к лидерству? Как интегрировать бизнес-решения для максимальной результативности? Устойчивое развитие — это новый тренд или необходимость? ➡ Узнаете 28 мая на открытой лекции-дискуссии с заместителем генерального директора рыбодобывающей производственной компании «Экофиш» Еленой Кругловой. 📢 Формат встречи — живая лекция с разбором реальных да…

❤1

9 May 2026, 07:31 UTC193 views2 reactionsread 8 August 2026
Forwarded from @gsom_spbu_officialPhoto

Зачем нужна финансовая математика? Будем разбираться на открытой лекции генерального директора Фонда «Институт “Вега”», руководителя группы количественных финансов ПАО «Банк ВТБ» Кирилла Климова. Обсудим отдельные аспекты устройства рынка и работы с финансовыми инструментами: 🔴Как устроена микроструктура рынка и что происходит внутри биржевого стакана. 🔴Чем отличается взгляд на рынок на микро- и макроуровне. 🔴Поче…

❤2

8 May 2026, 09:00 UTC198 views7 reactionsread 8 August 2026
Forwarded from @gsom_spbu_officialPhoto

Доцент ВШМ СПбГУ Кази Сохаг занял первое место в рейтинге «Best Economics and Finance Scientists 2026 in Russian Federation» международного портала Research.com Рейтинг ежегодно оценивает исследователей в области экономики и финансов на основе D-индекса — показателя цитируемости научных работ внутри дисциплины. В глобальный топ-1000 вошли 28 нобелевских лауреатов, 205 членов Эконометрического общества и 38 выдающих…

🔥5❤2

29 Apr 2026, 10:51 UTC190 views3 reactionsread 8 August 2026
Forwarded from @gsom_spbu_officialPhoto

ВШМ СПбГУ и ВТБ. Процессы под микроскопом: где скрыты резервы эффективности ✔ Как внедрить современные цифровые бизнес- процессы и обеспечить их надежность? Этот вопрос 23 апреля на открытой лекции в ВШМ СПбГУ разобрали студенты и практикующие руководители. 💬 Спикером выступила Галина Андреевна Маслова, руководитель Департамента сопровождения транзакционных продуктов — старший вице-президент банка ВТБ. «Если вам …

❤3

17 Apr 2026, 16:29 UTC≈1,010 views3 reactionsread 8 August 2026
Photo

Цена прекрасного: как редкость влияет на доходность невзаимозаменяемых токенов 23 апреля в 16.00 на Волховском переулке, аудитория 209, состоится лекция доцента Школы Финансов Высшей школы экономики! Виктория Добрынская, доцент Школы финансов Высшей школы экономики расскажет о том, как рынок NFT давно перестал быть просто трендом и превратился в полноценный объект экономических исследований. Что на самом деле форми…

👍2❤1

16 Apr 2026, 17:56 UTC161 views1 reactionsread 8 August 2026
Forwarded from @GSOM_FinFamilyPhoto

Лекция от ВТБ: «Процессы под микроскопом: где скрыты резервы эффективности» 📆Когда: 23 апреля 2026, 18:30 📍Где: Волховский пер. 3, ауд. 408 В современной конкурентной среде выигрывают организации, которые умеют минимальными ресурсами добиваться максимальных результатов и быстро реагировать на внешние изменения. А значит, эффективные бизнес-процессы являются одним из критических факторов успеха. На встрече мы разбе…

❤1

3 Apr 2026, 07:54 UTC216 views3 reactionsread 8 August 2026
Forwarded from @GSOM_FinFamilyPhoto

Встреча с Иваном Розинским - старшим вице-президентом банка ВТБ Тема встречи — «Штрихи портрета России 2030: как климат, деомграфия и государственная политика будут влиять на наше ближайшее будущее» Немного истории: 🔸1992 - по выпуску из МГУ, Иван начинает банковскую карьеру со ступени специалиста проектов 🔸2003 год - становится членом правления банка Москва, после 10-ти лет работы и разных переквалификаций в 🔸2017…

👍2❤1

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

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

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“GSOM_Center of Market Efficiency and Applied Finance Research” (@GSOM_Center_finance), 663 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/GSOM_Center_finance.

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.