Channel
@p_fin
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
98,901subscribers
+3,462 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001642538187 |
|---|---|
| Type | Channel |
| Username | @p_fin |
| Description | Пишем про мировую экономику и финансы Сотрудничество: @lerafinance Регистрация РКН: https://clck.ru/3Fh4W6 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.me/p_fin |
Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Oct 2026, 20:37 | 98,901 | -426 |
| 17 Oct 2026, 19:27 | 99,327 | +8,243 |
| 16 Oct 2026, 18:35 | 91,084 | -508 |
| 15 Oct 2026, 18:19 | 91,592 | -8,893 |
| 14 Oct 2026, 17:16 | 100,485 | -2,077 |
| 13 Oct 2026, 07:57 | 102,562 | +2,066 |
| 9 Oct 2026, 04:40 | 100,496 | -12,632 |
| 4 Oct 2026, 15:37 | 113,128 | +9,847 |
| 26 Sept 2026, 10:36 | 103,281 | +27,236 |
| 19 Sept 2026, 12:21 | 76,045 | -25,436 |
| 17 Sept 2026, 04:15 | 101,481 | -1,232 |
| 15 Sept 2026, 04:39 | 102,713 | +2,830 |
| 13 Sept 2026, 13:17 | 99,883 | +285 |
| 11 Sept 2026, 15:39 | 99,598 | -6,139 |
| 8 Sept 2026, 23:01 | 105,737 | +2,552 |
| 5 Sept 2026, 15:38 | 103,185 | -1,706 |
| 3 Sept 2026, 19:38 | 104,891 | +689 |
| 2 Sept 2026, 11:23 | 104,202 | +17 |
| 1 Sept 2026, 09:26 | 104,185 | -760 |
| 31 Aug 2026, 06:58 | 104,945 | first reading |
39 posts held, back to 25 May 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 153 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 16 October 2026 |
|---|---|
| Posts held | 39 (25 May 2026 – 16 October 2026) |
| Views total | 347,000 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Oct 2026, 14:18 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.
Lifetime counters from Telegram’s own channel header, read 19 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Цены на самые базовые продукты в РФ растут быстрее всего. По данным Росстата, за год картофель подорожал на 26,3%, лук — на 26,1%, белокочанная капуста — на 25,8%, свекла — на 21,2%. Это в 3–4 раза превышает уровень официальной инфляции. ПроФинансы
Евросоюз заплатил России $250 млрд за нефть за последние 4 года, — Трамп. ЕС купил у России энергоресурсов на $320 млрд с начала 2022 года — вице-премьер Новак. «Это даже больше, чем говорит Трамп». ПроФинансы
Треть россиян мечтают о безопасности и базовом благополучии — ВЦИОМ. Здоровье близких, мир и спокойная жизнь (30%), деньги, жилье, путешествия и достойная пенсия (20%), семейное счастье (8%). Молодежь больше стремится к карьере, бизнесу и финансовому успеху. ПроФинансы
Google сделает платными свои лучшие модели нейросетей. С 9 октября бесплатной останется только Flash-Lite. Модель Flash будет стоить $5 в месяц, а Pro — $20. ПроФинансы
ЦБ снизил курс евро сразу до ₽83,55, евро — до ₽94,88. ПроФинансы
На Востоке России обзавестись недвижимостью в ипотеку гораздо легче, чем на Западе. ПроФинансы
В августе 2026 года россияне взяли 94,59 тысячи ипотечных кредитов на общую сумму ₽397,82 миллиарда, — ОКБ. Это на 4% по количеству и 9% по объему больше, чем в июле, и на 5% по количеству больше, чем годом ранее. ПроФинансы
Инвестиции пяти крупнейших технологических компаний в ИИ-инфраструктуру в 2026 году составят $660–690 миллиардов. Это больше ₽56 триллионов. Для сравнения, весь бюджет РФ на этот год чуть превышает ₽44 триллиона. Большая часть суммы пойдет на строительство дата-центров. ПроФинансы
ФРС неожиданно повысила ключевую ставку на 0,25 п. п. с 3,75% до 4% впервые за три года. Она ожидает ещё одного повышения ключевой ставки до конца года. В начале года Трамп поменял руководителя ФРС, чтобы тот снизил ставку. Индекс доллара пошел вверх. ПроФинансы
На Восточном экономическом форуме гости смогли оценить метаболическое здоровье Следить за здоровьем — это не только обращать внимание на самочувствие, но и регулярно контролировать ключевые показатели организма. На Восточном экономическом форуме сделать это можно было прямо на площадке: для гостей работал специальный стенд, посвящённый метаболическому здоровью. В течение форума здесь можно было пройти быстрый чек-а…
Цены на iPhone 18 Pro в разных странах. У нас прайс на смартфон от Apple будет начинаться со 175 тысяч рублей или 2000 долларов. ПроФинансы
Пожилых людей в мире впервые стало больше, чем детей — человечество стремительно стареет. По данным Бюро переписи населения США, в 2025 году люди 65+ впервые в истории превысили по численности детей до 5 лет. Главные причины — снижение рождаемости и рост продолжительности жизни. ПроФинансы
Showing the 12 most recent of 39 posts we hold for @p_fin. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“ПроФинансы” (@p_fin), 98,901 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/p_fin.
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.