Telegram RegisterThe public register of Telegram

Channel

Business FM Петербург

@bfmspb

Verified by Telegram

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,636subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001118628816
TypeChannel
Username@bfmspb
Created9 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/bfmspb

Growth

2,6362,6372,636.56 August 2026 — 2,636 subscribers6 August 2026 — 2,636 subscribers9 August 2026 — 2,637 subscribers12 August 2026 — 2,636 subscribers6 August 202612 August 2026
4 measurements spanning 6 days. 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 2,636–2,637 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:172,636-1
9 Aug 2026, 16:312,637+1
6 Aug 2026, 11:072,636no change
6 Aug 2026, 10:452,636first reading

Engagement

32 posts held, back to 4 August 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
7.55%
avg views ÷ 2,636 subscribers
Avg views / post
199
32 posts measured
Reaction rate
2.10%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 18 of 32 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held32 (4 August 20267 August 2026)
Views total6,368
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:19 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

73 reactions across 18 posts, in 18 distinct kinds. The most used accounts for 13.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1013.7%
🤔1013.7%
👍811.0%
🤬79.59%
68.22%
😁56.85%
🤡56.85%
👏45.48%
💘34.11%
🆒22.74%
💯22.74%
🤣22.74%
🤷‍♂22.74%
🥰22.74%
🫡22.74%
👎11.37%
💔11.37%
🦄11.37%

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 18 of the 32 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 4 August 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, 15:13 UTC45 views3 reactionsread 7 August 2026
Photo

Новостной рейтинг: помощь селлерам, уход депутатов из соцсетей, ситуация с врачами Традиционно Business FM Петербург попросил экспертов Северной столицы прокомментировать главные, на их взгляд, события прошедшей недели Фото: Business FM Петербург #маркетплейсы #wildberries #атакиБПЛА #депутаты #соцсети #выборы #заксобрание #медики #врачи #новостнойрейтинг #Петербург

1👍1🔥1

7 Aug 2026, 10:35 UTC117 views1 reactionsread 7 August 2026
Photo

Число выявленных поддельных купюр на Северо-Западе снизилось на 23% По данным Банка России, большинство фальшивок приходится на Петербург и Ленинградскую область. Подробнее — в материале Business FM Петербург #купюры #деньги #подделки #сзфо #спб #ленобласть #bfmspb Фото: © Oleg Spiridonov / Business Online / Global Look Press

1

7 Aug 2026, 09:44 UTC148 views3 reactionsread 7 August 2026
Photo

Хакеры получили подтверждение участия НАТО в ударах по РФ Полученные документы раскрывают, кто давал точные координаты объектов и кто «науськивал Украину на террор в Ленинградской и Калининградской областях». Подробнее — в материале Business FM Петербург #бпла #терроризм #ленобласть #калининград #нато #bfmspb Фото: © Elisa Schu / dpa / Global Look Press

🤬2🤡1

7 Aug 2026, 09:19 UTC144 views3 reactionsread 7 August 2026
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В Минцифры заявили, что мессенджер «Макс» останется в РФ навсегда Операторы связи «большой четверки» с 1 августа сделали мобильный трафик на платформе бесплатным. Подробнее — в материале Business FM Петербург #макс #max #мессенджеры #россия #технологии #bfmspb Фото: © Sergey Elagin / Business Online / Global Look Press

👎1💔1😁1

7 Aug 2026, 08:22 UTC166 viewsread 7 August 2026
Photo

В Петербурге доля собаководов среди покупателей жилья достигла 25-30% Согласно результатам исследования, для 20% любителей животных важно наличие выделенной зоны выгула, для 15% – лапомойки. Подробнее — в материале Business FM Петербург #собаководы #жилье #покупатели #спб #петербург #bfmspb Фото: © Alexander Legky / Global Look Press

7 Aug 2026, 07:33 UTC165 viewsread 7 August 2026
Photo

Спрос на клубнику в шоколаде в I полугодии вырос на 26% По данным аналитиков, средний чек составил 2 424 рубля. Больше всего ягоду покупают в Москве и Петербурге. Подробнее — в материале Business FM Петербург #клубника #шоколад #экономика #спб #петербург #bfmspb Фото: Jessica Johnston / unsplash

6 Aug 2026, 19:01 UTC282 views7 reactionsread 7 August 2026
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Юристы объяснили проблемы с запретом на выезд по линии ФССП Чтобы провести отпуск за границей, полностью погасить свои долги должны почти 200 тысяч «невыездных» петербуржцев, заявили в службе судебных приставов. В их отношении действует постановление об ограничении выезда за пределы России. Среди попавших в стоп-лист – традиционно должники по алиментам: покинуть страну не могут более 9 тысяч жителей Петербурга. Чем

🔥2🤔21🥰1🫡1

6 Aug 2026, 18:29 UTC215 views3 reactionsread 7 August 2026
Photo

Власти Петербурга предложили изменить режим работы светофоров Дело в том, что из-за недавней глобальной реформы в городе резко замедлились транспортные потоки. Как заявил спикер ЗакСа Александр Бельский, понимание проблемы у федерального центра есть. Другого дело, будет ли результат. Подробнее — в материале Business FM Петербург #светофоры #авто #транспорт #пешеходы #дорога #петербург #bfmspb Фото: Jonny Rogers /

👍1💘1🤡1

6 Aug 2026, 16:34 UTC211 views3 reactionsread 7 August 2026
Photo

«Кафе на Хлебозаводе» на Барочной улице Интересное решение — занять помещение ресторана Barca, что менее двух лет стремился в Высшую Лигу на Левашовском. Так что тут локация в списке аргументов, исключительно для меня, выше по очередности веса самой команды моднейшего «Кафе на Хлебозаводе». От неё знаешь, что ждать, хорошо это или скучно, будет ли второй «Каспер бистро»? Подробнее — в очередном выпуске подкаста с Г

1💘1💯1

6 Aug 2026, 16:03 UTC207 views5 reactionsread 7 August 2026
Photo

Вице-губернатор Москаленко заявил, что в Петербурге растёт потребительский спрос В Смольном заявили, что город преодолевает текущие вызовы более чем достойно и последовательно развивается. В числе основных драйверов вице-губернатор Валерий Москаленко назвал импортозамещение в промышленности и внутренний потребительский спрос. О том, как сами предприниматели оценивают итоги полугодия, и чего ожидают в ближайшие месяц

🤣2💘1🤔1🫡1

6 Aug 2026, 15:20 UTC199 views7 reactionsread 7 August 2026
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🟠🟠🟠🟠🟠🟠Михаил Гущин, RBI: о том, как выбрать время для покупки недвижимости Вице-президент строительной компании RBI Михаил Гущин рассказал о сезонности на рынке недвижимости, а также перечислил факторы, которые сегодня оказывают влияние на стоимость квартиры. 📌 Покупка жилья у россиян остаётся в планах на вторую половину жизни. Если среди молодёжи в возрасте до 30 лет своя квартира есть у 19% опрошенных, то в групп

👏2🔥21👍1😁1

6 Aug 2026, 12:07 UTC203 viewsread 7 August 2026
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В Петербурге состоится II Международный конкурс «Золотая арфа» Мероприятие пройдет с 20 по 27 сентября на нескольких площадках. Места проведения конкурса — Санкт-Петербургская государственная консерватория имени Н.А. Римского-Корсакова, Малый зал имени М.И. Глинки Санкт-Петербургской академической филармонии имени Д.Д. Шостаковича, Государственный камерный музыкальный театр «Санктъ-Петербургъ О́пера» и Шереметевский

Showing the 12 most recent of 32 posts we hold for @bfmspb. 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 — 154,215 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 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Business FM Петербург” (@bfmspb), 2,636 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bfmspb.

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.