Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 31 October 2026 and assigned it the closest of 31 fixed categories, at 82% 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.
Growth
4 measurements spanning 15 days, net +29. 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 51–88 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
31 Oct 2026, 15:29
84
+16
23 Oct 2026, 18:00
68
+7
17 Oct 2026, 15:04
61
+6
16 Oct 2026, 20:22
55
first reading
Engagement
8 posts held, back to 13 October 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.
ERR · 30 days
34.5%
avg views ÷ 84 subscribers
Avg views / post
29.0
8 posts measured
Reaction rate
15.8%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 6 of 8 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 16 October 2026
Posts held
8 (13 October 2026 – 16 October 2026)
Views total
232
Reactions total
27
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Oct 2026, 20:22 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
27 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
10
37.0%
👍
9
33.3%
❤
8
29.6%
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 6 of the 8 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 13 October 2026 to 16 October 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.
Где искать хорошую пиццу в Санкт-Петербурге
🍕 Чоризо пицца
📍 Яндекс Карты ⭐ 4.7
Ⓜ️ Петроградская
💰 Средний чек: 1 000 ₽–1 500 ₽
Итальянская пиццерия с уютной атмосферой и приветливым персоналом. Здесь готовят пиццу на тонком тесте со свежими ингредиентами и щедрой начинкой.
🍕 Маргаретти
📍 Яндекс Карты ⭐ 5
💰 Средний чек: 1 000 ₽–2 000 ₽
В этой пиццерии ценят вкус теста и разнообразие начинок: от сочетания с грушей и…
Обзор ресторана «Bona» в Санкт-Петербурге
🍽 Bona
📍 Яндекс Карты ⭐ 4.9
Ⓜ️ Проспект Ветеранов
💰 Средний чек: 1 200 ₽
Стильный интерьер и внимательный персонал делают это место подходящим для семейных ужинов, а наличие детской комнаты упрощает отдых с детьми. Гости ценят профессионализм официантов и элегантную подачу блюд.
🍽 Особого внимания заслуживает паста ручной работы, в частности карбонара и фетучини Маре Монти…
Места для вечера с музыкой
🎸 The Right Place
📍 Яндекс Карты ⭐ 4.9
Ⓜ️ Гостиный двор
💰 Средний чек: 1 500 ₽–3 000 ₽
Здесь царит обстановка в стиле рок и звучит живая музыка. В меню представлены тематические коктейли, такие как мохито и безалкогольный Алое, а также мясо, особенно ребрышки в соусе из квасного сусла или острые.
💃 Рибай
📍 Яндекс Карты ⭐ 4.9
Ⓜ️ Невский проспект
💰 Средний чек: 3 000 ₽
Ресторан подходит для…
Где попробовать русскую кухню
❄️ Северянин
📍 Яндекс Карты ⭐ 4.7
Ⓜ️ Садовая
💰 Средний чек: 2 500 ₽–2 900 ₽
Здесь царит теплая и душевная атмосфера с русским духом и эстетикой Петербурга, а доброжелательный персонал всегда поможет с выбором. В меню выделяются говяжьи щечки, блюда из оленины и жаркое из дичи, а в качестве десерта советуют попробовать мороженое из белых грибов или ромовую грушу.
🐦 Белый Рябчик
📍 Яндекс…
Обзор ресторана «O! Куба»
🍽 O! Куба
📍 Яндекс Карты ⭐️ 5
Ⓜ️ Достоевская
💰 Средний чек: 1 500 ₽–3 500 ₽
Интерьер O! Куба оформлен в ярких латиноамериканских тонах, а одним из главных акцентов пространства стал настоящий автомобиль. Эстетику дополняют живые выступления кубинских музыкантов, которые задают ритм всему заведению. Персонал работает профессионально и внимательно, помогая гостям сориентироваться в меню и вы…
Где искать хорошие тако в Питере
🌮 Picó Taqueria
📍 Яндекс Карты ⭐️ 5
Ⓜ️ Садовая
💰 Средний чек: 1 000 ₽–1 700 ₽
Здесь царит живая атмосфера с мексиканским колоритом. Гости ценят свежесть продуктов и рекомендуют пробовать сеты из сытных тако с тунцом, говядиной, карри или Поло Риккота.
🌮 И тако сойдет
📍 Яндекс Карты ⭐️ 5
Ⓜ️ Проспект Большевиков
💰 Средний чек: 450 ₽–800 ₽
В заведении уютно и приятно проводить время. О…
Места для тех, кто любит стейки
🥩 Red. Steak&Wine
📍 Яндекс Карты ⭐️ 4.9
Ⓜ️ Петроградская
💰 Средний чек: 2 400 ₽–3 200 ₽
В заведении уютная и приятная атмосфера, а стейки отличаются безупречным качеством и идеальной прожаркой medium rare. Гости также хвалят тартары из говядины и оленьей вырезки, а среди десертов выделяют финиковый торт, пирог со смородиной и трюфельные конфеты.
🥩 Стейк Клаб
📍 Яндекс Карты ⭐️ 5
Ⓜ️ Зв…
Ресторан «Машараби»: подробный разбор
🍽 Машараби
📍 Яндекс Карты ⭐️ 5
Ⓜ️ Академическая
💰 Средний чек: 2 700 ₽–3 000 ₽
Стильный интерьер с вниманием к деталям и необычным оформлением делает это место подходящим для празднования дней рождения и других знаменательных событий. Вежливый персонал и официанты помогают гостям сориентироваться в меню, подбирая подходящие блюда и напитки.
🍽 Особое внимание уделяют оригинальн…
👍2❤1🔥1
Showing the 8 most recent of 8 posts we hold for @restaurants_spb_tops. 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.
Mentions
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.
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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“🍷 Рестораны Санкт-Петербурга | Топы и обзоры” (@restaurants_spb_tops), 84 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/restaurants_spb_tops.
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.