Giveaways & airdrops — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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.
Growth
33 measurements spanning 43 days, net +134. 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 11,668–12,104 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 02:41
11,897
-61
16 Sept 2026, 14:41
11,958
-72
14 Sept 2026, 22:01
12,030
-24
13 Sept 2026, 09:38
12,054
+9
11 Sept 2026, 09:59
12,045
+298
8 Sept 2026, 15:38
11,747
-20
5 Sept 2026, 11:37
11,767
-11
3 Sept 2026, 15:22
11,778
-12
2 Sept 2026, 09:13
11,790
-8
1 Sept 2026, 11:25
11,798
-4
31 Aug 2026, 11:53
11,802
-10
30 Aug 2026, 13:35
11,812
-1
28 Aug 2026, 14:45
11,813
-11
27 Aug 2026, 16:11
11,824
-9
26 Aug 2026, 19:08
11,833
-2
25 Aug 2026, 21:54
11,835
-9
25 Aug 2026, 00:27
11,844
-16
23 Aug 2026, 10:24
11,860
-18
21 Aug 2026, 23:26
11,878
-14
20 Aug 2026, 18:56
11,892
first reading
Engagement
112 posts held, back to 5 August 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.05%
avg views ÷ 11,897 subscribers
Avg views / post
482
40 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
40
of 112 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 33 of 40 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
112 (5 August 2026 – 2 September 2026)
Views total
19,291
Reactions total
160
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:42 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
1m 39s
Average length
14s
Measured directly from 7 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.
Reaction mix
469 reactions across 90 posts, in 9 distinct kinds. The most used accounts for 75.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
354
75.5%
custom 5195359189051942572
27
5.76%
custom 5192859612574945202
20
4.26%
custom 5192664616764738496
15
3.20%
custom 5193029830718822532
15
3.20%
custom 5193028675372614582
12
2.56%
custom 5194906632642923948
11
2.35%
custom 5195340965505697196
10
2.13%
custom 5256185349121540846
5
1.07%
Custom emoji. 8 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 are Telegram’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 91 of the 112 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 469 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 112 most recent posts we hold, published 5 August 2026 to 2 September 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.
Меняется расписание рейсов теплохода Новой Голландии
🤩Причал на Английской набережной
Дневных выхода теперь четыре — в 13:30, 15:30, 17:30 и 19:30, — а прогулка на развод мостов начинается чуть раньше, в 0:15. В остальном всё по-прежнему: буфет Aster, ретро интерьер, рейсы с авторскими экскурсиями и виды на парадный Петербург.
📍 2000 рублей
📷 ev_barbolina, Новая Голландия
Разыгрываем 4 билета на концерт One Vision Band
Выберем двух победителей и подарим по два билета каждому на Грандиозное шоу к 80-летию Фредди Меркьюри!
Чтобы участвовать, выполните простые условия:
1. Подпишитесь на наши каналы:
— Питер 24/7
— Вкратце Питер
2. Нажмите кнопку «Участвую» ниже!
Итоги подведём 4 сентября в 10:00 в канале @itogispb.
Всем удачи ⭐️
Кофейня «Настоятельная рекомендация» выпустила коллабу с библиотеками Василеостровского района
🤩Настоятельная рекомендация
В меню появился фильтр-кофе по мотивам романа Михаила Булгакова «Мастер и Маргарита». В напиток добавляют красное сухое вино и домашний карамельный сироп. Стоимость — 280₽.
Кстати, при покупке напитка можно вытянуть карту Таро с персонажем романа.
Итальянский дворик в сердце Петербурга
🤩Восстания, 19 (Mia Strada)
Фишка заведения — расположение в уютном дворе-колодце, который переносит гостей в атмосферу юга Италии. За атмосферой отпуска в стиле дольче вита точно сюда.
Уникальный книжный, в котором многие не были
🤩на 9-ой линии В.О., д. 12/28.
Это магазин при издательстве «Наука»,
которое работает с 1727 года. Внутрь попадают свеженапечатнные книги из соседнего здания, а ассортимент состоит из философии, филологии, биологии и математики.
📷 burlakus_ludens
Ностальгическая находка в «Ипполите»
🤩Ипполит
Здесь к 1 сентября приготовили ту самую пиццу из школьной столовой (помните?).
В этот раз решили не ограничиваться классикой, а сделать пиццу сразу в трёх вариантах — попробовать можно с 1 по 3 сентября:
• классическая
• гавайская с ветчиной и ананасами
• с лисичками и сыром
К ней можно взять бочковой кофе в гранёном стакане. Круто же?
Место на Васильевском острове для ностальгирующих по жизни без вай-фая
🤩Amore Villagio
Это винтажное кафе, стилизованное под атмосферу 50-60 годов. С первого шага все становится такое родное — с настроением детства в гостях у бабушки.
Что пробовать?
•Драники с лососем и сметаной — 680 рублей
•Большой Бабушкин завтрак — 1090 рублей
•Окрошка на квасе — 360 рублей
•Ежики из говядины — 350 рублей
•Шоколадная колбаса —…
Прекрасный балкончик пространства «Циферблат»
🤩Набережная реки Мойки, 90
(2 этаж)
Здесь для гостей работает антикафе, три огромных и просторных зала, а также балкон с потрясающим видом на Исаакиевский собор.
📷 Emilia_guide
Съездили в Москву в 2026 и уже вернулись домой?
Небольшой опрос про впечатления от поездки — 10 минут, анонимно.
Ссылка на опрос:
https://do.survey-studio.com/s/weea48ddf0e384668a88c2205eddbbc30zq8zmrd8?utm_source=telegram&utm_medium=social&utm_campaign=survey&utm_content=channel_NysZn5v0ECsyNWYy
А вы знали, что ещё один Петербургский Ангел живёт в Любашинском саду
🤩Полюстровский проспект, 35
Местного Ангела прозвали Любашиком. Существует интересная традиция. Если сеть на скамейку рядом с Любашиком и тихонечко шепнуть ему на ушко своё самое сокровенное желание, то оно непременно сбудется.
Коктейльный бар с историей
🤩Медведь
Это бережно воссозданное заведение ХХ века: в 1906 году здесь был открыт первый коктейльный бар —
команда воссоздала интерьер по архивным фотографиям, собрала меню с дореволюционной атмосферой.
❤5
Showing the 12 most recent of 112 posts we hold for @spb_korushka. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 8 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Корюшка” (@spb_korushka), 11,897 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/spb_korushka.
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.