😳 Петербуржец вышел на международный уровень и сразу поставил рекорд в США В Луизиане остановили фуру петербуржца, а в прицепе нашли 358 кг запрещённых веществ — крупнейшую такую партию в истории штата 👉 Питер Онлайн #Питер #СанктПетербург
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Channel
@piterb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
32,816subscribers
-372 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001596248931 |
|---|---|
| Type | Channel |
| Username | @piterb |
| Description | Питер Онлайн — свежие новости города каждый день. Происшествия, события, погода, культура. Всё, что происходит в Питере сегодня — в одном Telegram-канале. Реклама: @Gram_Media Связь: @EonFire |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/piterb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:44 | 32,816 | -18 |
| 11 Aug 2026, 17:22 | 32,834 | -10 |
| 10 Aug 2026, 17:12 | 32,844 | -56 |
| 9 Aug 2026, 15:13 | 32,900 | -258 |
| 8 Aug 2026, 14:33 | 33,158 | -29 |
| 7 Aug 2026, 15:10 | 33,187 | -1 |
| 7 Aug 2026, 14:47 | 33,188 | first reading |
28 posts held, back to 30 July 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 17 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 28 (30 July 2026 – 12 August 2026) |
| Views total | 184,200 |
| Reactions total | 624 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 21:13 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 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 15 videos 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.
624 reactions across 28 posts, in 11 distinct kinds. The most used accounts for 17.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 106 | 17.0% | |
| 🙏 | 84 | 13.5% | |
| 🔥 | 62 | 9.94% | |
| 😱 | 62 | 9.94% | |
| 👏 | 60 | 9.62% | |
| ⚡ | 51 | 8.17% | |
| 👎 | 48 | 7.69% | |
| 😢 | 47 | 7.53% | |
| 🤬 | 41 | 6.57% | |
| 👍 | 34 | 5.45% | |
| ❤ | 29 | 4.65% |
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 28 of the 28 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 624reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 30 July 2026 to 12 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.
😳 Петербуржец вышел на международный уровень и сразу поставил рекорд в США В Луизиане остановили фуру петербуржца, а в прицепе нашли 358 кг запрещённых веществ — крупнейшую такую партию в истории штата 👉 Питер Онлайн #Питер #СанктПетербург
🤣13😱4
❗️Двух самокатчиков сбила машина в Мурино — один погиб. Мужчина и женщина ехали вдвоём на одном самокате по проспекту Авиаторов Балтики, когда их сбил автомобиль. Мужчина скончался на месте, женщину в крайне тяжёлом состоянии доставили в больницу. На участке образовалась пробка. 👉 Питер Онлайн #Питер #СанктПетербург
🔥15❤4😢3👍2
👊 Драка за стул закончилась судом в Петербурге В булочной посетительница плеснула напитком в женщину, чей муж первым занял свободный стул. Пострадавшая получила ожоги Виновной назначили 280 часов обязательных работ и компенсацию 👉 Питер Онлайн #Питер #СанктПетербург
❤9😱8👎6
🧘♀️Йога — лучший спорт в борьбе с бессонницей, — учёные. Лучший эффект показали всего две 30-минутные тренировки в неделю на протяжении двух месяцев. На втором месте по эффективности — ходьба, а замыкают тройку силовые тренировки. 👉 Питер Онлайн #Питер #СанктПетербург
🤣12🙏11
⛵️ Капитана яхты пришлось эвакуировать с Финского залива на вертолёте Судно село на мель недалеко от острова Сескар в сложных погодных условиях. Связь на яхте перестала работать, а телефон капитана разрядился На помощь прибыли авиационные спасатели. Мужчину подняли на борт Ми-8 прямо с яхты и доставили в Пулково 👉 Питер Онлайн #Питер #СанктПетербург
👎9⚡7❤4🤣3🙏2
😱Петербургские пенсионеры попали в реанимацию после домашнего супа — вместо шпината они съели дурман, — СМИ. 80-летний мужчина и 71-летняя женщина приготовили суп, добавив в него несколько листьев с собственного участка. Растение они вырастили из семян, привезённых из Анапы. После обеда мужчине стало плохо — он потерял сознание и начал биться в судорогах. Женщина успела вызвать скорую, после чего тоже отключилась. …
😱16🙏7
✨ Небо устроило световое шоу над Ленобластью В ночь с 8 на 9 августа жители снова смогли увидеть северное сияние Сначала по небу пронеслась яркая полоса, а следом появились пульсирующее свечение и прозрачные лучи 👉 Питер Онлайн #Питер #СанктПетербург
🤣17❤3🤬2
🧱140-летние обои нашли в квартире на Васильевском острове. Во время ремонта обнаружили 26 слоёв обоев, а под самым первым оказалась газета времён Русско-турецкой войны 1877–1878 годов. Она помогла датировать находку. У раритета есть опасная особенность: зелёные обои XIX века могли окрашивать составами на основе мышьяка. 👉 Питер Онлайн #Питер #СанктПетербург
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🚤 Ночное ДТП устроили два катера на Малой Невке Около часа ночи два судна столкнулись в акватории. Люди не пострадали, но одному из катеров досталось — повреждена носовая часть Разлива топлива удалось избежать. Теперь транспортная полиция выясняет, как катера умудрились не поделить Невку Кадры: Транспортная полиция СЗФО 👉 Питер Онлайн #Питер #СанктПетербург
😱20👎3
🌳Парк Монрепо можно будет посетить бесплатно уже 13 августа. В парке можно покормить ручных белочек и птиц, а ещё полюбоваться цветущими лилиями, флоксами, петуниями и розами. 👉 Питер Онлайн #Питер #СанктПетербург
👍12🤬6🔥4⚡2
🔥 Питерцы, кажется, нашли самый быстрый способ попасть на рейс. Теперь в Пулково можно пройти предполетные проверки МИГОМ по биометрии на всех внутренних рейсах «Аэрофлота» и «России». Без привычных очередей и долгих проверок документов. Для использования сервиса потребуется подтвержденная биометрия. Чтобы пройти предполетные проверки МИГОМ, при покупке билета или позже в управлении бронированием выберите опцию «б…
❤2🔥2🤣2🤬2👍1
🕳 Будто уровень из игры: в Лебяжьем нашли огромный подземный лабиринт Под землёй обнаружили запутанную сеть коридоров, которая впечатляет своими масштабами Правда, гулять по таким местам без подготовки — идея сомнительная: выйти получится не с первой попытки 👉 Питер Онлайн #Питер #СанктПетербург
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Showing the 12 most recent of 28 posts we hold for @piterb. 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 — 999,285 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Питер Онлайн” (@piterb), 32,816 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/piterb.
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.