Санкт-Петербург
📝 Легенды и тайны Питера
По рекламе @anna_peterburg
РКН: https://knd.gov.ru/license?id=67602c1b2516457be8707b5c®istryType=bloggersPermission
#8LEG8
Created
29 January 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Local community — 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 21 August 2026 and assigned it the closest of 31 fixed categories, at 81% 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
65 measurements spanning 97 days, net -860. 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 44,594–45,712 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 06:29
44,723
-22
10 Nov 2026, 07:51
44,745
-4
8 Nov 2026, 17:08
44,749
-22
7 Nov 2026, 12:48
44,771
-12
6 Nov 2026, 10:55
44,783
-8
5 Nov 2026, 12:56
44,791
-9
4 Nov 2026, 12:16
44,800
-11
3 Nov 2026, 09:17
44,811
-6
2 Nov 2026, 08:45
44,817
-8
1 Nov 2026, 08:54
44,825
-15
31 Oct 2026, 10:00
44,840
-6
30 Oct 2026, 12:04
44,846
-13
29 Oct 2026, 10:00
44,859
-10
28 Oct 2026, 08:30
44,869
-8
27 Oct 2026, 07:36
44,877
-9
26 Oct 2026, 06:40
44,886
-7
25 Oct 2026, 05:58
44,893
-6
24 Oct 2026, 08:04
44,899
-13
23 Oct 2026, 04:27
44,912
-9
22 Oct 2026, 03:36
44,921
first reading
Engagement
311 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 203 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.30%
avg views ÷ 44,723 subscribers
Avg views / post
1,920
90 posts measured
Reaction rate
4.08%
reactions ÷ views · ER floor
Posts in window
90
of 311 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
311 (5 August 2026 – 13 November 2026)
Views total
172,951
Reactions total
7,053
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 09:21 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
Photos
≈16,500
Videos
≈750
Links
≈4,810
Lifetime counters from Telegram’s own channel header, read 13 November 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.
Video runtime
46m 04s
Average length
47s
Measured directly from 59 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
22,611 reactions across 311 posts, in 44 distinct kinds. The most used accounts for 56.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,715
56.2%
👍
5,324
23.5%
🔥
1,052
4.65%
🤩
634
2.80%
😍
575
2.54%
🙏
527
2.33%
👏
422
1.87%
😁
246
1.09%
❤🔥
129
0.571%
😭
98
0.433%
🎉
86
0.38%
😱
76
0.336%
🕊
74
0.327%
🤣
70
0.31%
🤯
67
0.296%
💔
64
0.283%
🥰
53
0.234%
⚡
50
0.221%
🙈
50
0.221%
💊
30
0.133%
24 further kinds
269
1.19%
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 311 of the 311 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 22,611 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 311 most recent posts we hold, published 5 August 2026 to 13 November 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.
Telegram Stars
Stars received
36
across the posts below
Posts paid on
7
of 311 we hold a reading for · 2%
Most on one post
30
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @piter_places. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 311 most recent posts we hold for this entry, published 5 August 2026 to 13 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 90 posts held from the last 30 days (1.11%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Солнца топот, медью пламя
Брызжет в улицы лучи!
Город - каменное знамя:
Здесь решёток бьют ключи,
Здесь искусства уважают
И звонят в колокола.
Всадник неба объезжает
шпили, башни, купола,
Петербургские трущобы
Взглядом светлым озарит,
Львов обрадует (ещё бы!) –
Улыбается гранит,
Обнимая стан каналов,
Сфинксов томные тела,
Здесь ограды из кораллов,
Разъезжают катера,
И довольный над мостами
Светит ласково в туман.…
BRAND HOUSE — Лучший магазин премиальных брендов Louis Vuitton, Prada,
Gucci, Balenciaga, Loro Piana
Абсолютно каждая модель изготовлена
на фабрике высочайшего контроля качества,
даже опытные мастера не найдут отличия
Мужской | Женский каталог
Доставка по Москве
Отправка в любой город.
💬 Петербургские истории в TG
💬 Петербургские истории в Max
😎Большой Каскад в Петергофе - самый красивый фонтан Петербурга
😎Именно так решили подписчики нашего канала по результатам финального голосования.
😎«Большой каскад», открытый при жизни Петра, впоследствии достраивали и ремонтировали несколько раз.
😎В первые годы существования «Большой каскад» имел еще и звуковое сопровождение. В гроте под каскадом струйки воды колыхали стеклянные колокола, настраивая придворную пуб…
😎Для чего нужны необычные розетки в домах Петербурга
😎Они до сих пор сохранились во многих зданиях. На самом деле, они были нужны для подключения пылесосов.
А вы знали об этом интересном факте?
😎P.S. За интересное видео благодарим нашего подписчика @maks9
💬 Петербургские истории в TG
💬 Петербургские истории в Max
🌱Васька - любимец Петра и первый пушистый житель Зимнего
📌По легенде, первым котом, который поселился в Зимнем дворце, был крысолов Василий. Пушистого в 1724 году привез во дворец сам Петр Первый.
📌Точное происхождение кота до сих пор неизвестно. По одной версии, он был доставлен царем прямиком из Голландии. По второй — родился на Вологодчине в доме голландского купца.
📌Со своей работой Васька справлялся на отличн…
😎Открытие Ленинградского Дома книги в 1948 году
📌Легендарный “Дом Книги” практически не прекращал своей деятельности даже в годы блокады.
📌6 декабря 1941 года на соседнее с магазином здание упала бомба, взрывной волной в здании были выбиты все окна, а складские помещения были затоплены. Но “Дом Книги” продолжил работу и закрылся лишь в конце декабря 1941 года всего лишь на три месяца из-за отсутствия электричества …
Питер — дивная столица,
Я осмелюсь доложить:
Распотешить мастерица
И карман растормошить.
Здесь что шаг, то удивленье!
Всюду мрамор да гранит,
И уж точно просвещенье:
Всё на газе обстоит.
Всё так чисто и вальяжно…
Всюду этакий бонтон…
И устроено так важно —
На немецкий всё фасон!
Фёдор Алексеевич Кони
📹 tigran_marati
💬 Петербургские истории в TG
💬 Петербургские истории в Max
Придумаем название фото?
Мы выберем лучший вариант и отправим победителю небольшой комплимент - 500₽ от редакции канала.
📸 Александр Петросян
💬 Петербургские истории в TG
💬 Петербургские истории в Max
😍Выбираем самый красивый фонтан Петербурга. Часть 3
По итогам второй части голосования вы выбрали фонтан «Шахматная гора» в Петергофе. На очереди третья тройка.
1⃣ «Танцующий фонтан» в Кронштадте
Музыкальный фонтан был установлен в 2004 году у Гостиного двора в честь 300-летия Кронштадта. Его чаша сделана в форме форта, с которого началась история города.
2⃣ Большой каскад в Петергофе
Большой каскад Нижнем парке П…
✍️Из истории петербургских дворов
◽️Во времена Петра Первого дворы использовались в качестве складов. Император указал возводить богатые дома по голландскому образцу - «единою фасадою», то есть по строгой линии. А за парадной частью, во дворе, могло находиться, что угодно: бани, сараи, конюшни...
◽️Позже спрятанные за дорогими особняками свободные участки стали застраивать доходными домами для «понаехавших» богаче…
🚋 Как в Петербурге трамваи по льду ходили
◽️Было это около сотни лет назад. Зима в городе была такой суровой, что рельсы прокладывали прямо на ставшую воду.
◽️Зимой 1894 года на льду Невы появились первые пассажирские вагоны. Они ходили по четырём маршрутам. Уже через год на смену миниатюрным открытым вагонам пришёл настоящий трамвай на электрической тяге, который горожане сразу назвали «ледовый трамвай».
◽️Новый …
По Невскому с Ширали
Поэт Виктор Ширали (1945-2018) писал как нужно гулять по Невскому:
Когда мне надоедало обитоваться в «Сайгоне», я брал чашечку двойного кофе, двух подвернувшихся под руку видных девиц, иногда даже незнакомых, но неотразим я был тогда, неотразим.
Я выходил из «Сайгона» с чашечкой дымящегося кофе, с тростью под мышкой, с двумя девицами чуть поодаль. Они были тоже с чашечками кофе, но его д…
❤38👏10👍7🤣7🍾5🤝1
Showing the 12 most recent of 311 posts we hold for @piter_places. 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.
Posts recorded as deleted after publishing
We recorded 8 posts on @piter_places as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
48 hours
Seen missing in the last 30 days
2
Mentions
Named by 3 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Московские истории 🎞 @msk_stories · 20,732 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 25 September 2026
Хроники Петербурга @spbhronika · 36,936 Telegram ranks this channel #2 of 90 here — alongside 89 others — read 1 September 2026
Легендарный Петербург @legendary_piter · 66,518 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 21 August 2026
Незнакомый Петербург @unknown_piter · 86,689 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 17 August 2026
Питер в голове • Про Санкт-Петербург • СПБ @piter_v_golove · 82,341 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 19 August 2026
GradSPb | Санкт-Петербург @gradspb · 45,666 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 27 August 2026
Пейзаж на холсте | Галерея @kartiny_tg · 67,663 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 20 August 2026
Питер 1703 @spiter_live · 41,714 Telegram ranks this channel #30 of 82 here — alongside 81 others — read 29 August 2026
Эй, Питер! @spb_state · 49,820 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 25 August 2026
Куда сходить в Петербурге @afishapitera · 64,960 Telegram ranks this channel #32 of 85 here — alongside 84 others — read 21 August 2026
Музей @muzei_tg · 52,948 Telegram ranks this channel #37 of 80 here — alongside 79 others — read 24 August 2026
ARTерия | Искусство @kartiny_arteriart · 160,634 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 12 August 2026
Ру́сский музей @budnirusskogo · 34,742 Telegram ranks this channel #39 of 78 here — alongside 77 others — read 3 September 2026
В обнимку с Питером @obnyatSPb · 27,961 Telegram ranks this channel #44 of 85 here — alongside 84 others — read 9 September 2026
Питер для детей • Афиша @detstvo_spb · 49,727 Telegram ranks this channel #44 of 78 here — alongside 77 others — read 25 August 2026
Где твои манеры? • Этикет @etiketmaneri · 75,525 Telegram ranks this channel #47 of 71 here — alongside 70 others — read 19 August 2026
Мане или Моне? @maneormone1 · 85,157 Telegram ranks this channel #47 of 81 here — alongside 80 others — read 18 August 2026
Питер online | Санкт-Петербург @spb_online · 54,326 Telegram ranks this channel #49 of 77 here — alongside 76 others — read 31 August 2026
Мировая Живопись @mir_painting · 36,949 Telegram ranks this channel #54 of 79 here — alongside 78 others — read 1 September 2026
Дачный ответ @dachaa_ogorod · 108,247 Telegram ranks this channel #57 of 61 here — alongside 60 others — read 14 August 2026
Я сейчас читаю 📚 @yaseychaschitayu · 19,099 Telegram ranks this channel #58 of 71 here — alongside 70 others — read 4 October 2026
Мировая Поэзия @mir_poetry · 58,775 Telegram ranks this channel #62 of 79 here — alongside 78 others — read 22 August 2026
Пойдем сегодня Петербург @infopeterburg · 43,188 Telegram ranks this channel #66 of 83 here — alongside 82 others — read 28 August 2026
Лингвист @Lingvaa · 135,905 Telegram ranks this channel #66 of 90 here — alongside 89 others — read 13 August 2026
This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Петербургские истории 🎞” (@piter_places), 44,723 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/piter_places.
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.