Заявки принимаются автоматически ⚡️
Культурный блог.
Читай. Пиши. Вдохновляйся.
По рекламе и сотрудничеству писать в тг — @eventmng
Номер заявления о регистрации № 5139788296
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Literature — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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
32 measurements spanning 43 days, net -407. 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 31,671–32,200 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:55
31,732
-16
17 Sept 2026, 01:37
31,748
-20
15 Sept 2026, 04:56
31,768
-11
13 Sept 2026, 12:00
31,779
-17
11 Sept 2026, 13:18
31,796
-20
8 Sept 2026, 21:39
31,816
-37
5 Sept 2026, 17:17
31,853
-16
3 Sept 2026, 17:36
31,869
-16
2 Sept 2026, 11:24
31,885
-14
1 Sept 2026, 10:58
31,899
-26
31 Aug 2026, 10:26
31,925
-5
30 Aug 2026, 13:16
31,930
-11
29 Aug 2026, 12:43
31,941
-3
28 Aug 2026, 12:23
31,944
-1
27 Aug 2026, 08:55
31,945
-16
26 Aug 2026, 06:32
31,961
-14
25 Aug 2026, 03:14
31,975
-9
23 Aug 2026, 17:15
31,984
-8
22 Aug 2026, 05:16
31,992
-8
20 Aug 2026, 18:36
32,000
first reading
Engagement
164 posts held, back to 2 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.58%
avg views ÷ 31,732 subscribers
Avg views / post
501
73 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
73
of 164 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 59 of 73 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 24 September 2026
Posts held
164 (2 August 2026 – 24 September 2026)
Views total
36,588
Reactions total
523
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 20:19 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
≈6,470
Videos
≈176
Links
≈4,880
Lifetime counters from Telegram’s own channel header, read 24 September 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
7m 07s
Average length
1m 01s
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
1,223 reactions across 128 posts, in 21 distinct kinds. The most used accounts for 31.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
389
31.8%
🔥
204
16.7%
😁
200
16.4%
👏
105
8.59%
👍
88
7.20%
💯
88
7.20%
🤣
76
6.21%
❤🔥
13
1.06%
🙏
9
0.736%
🥰
9
0.736%
🤔
8
0.654%
🐳
6
0.491%
💋
6
0.491%
🍓
5
0.409%
🏆
5
0.409%
🍾
4
0.327%
😢
3
0.245%
👎
2
0.164%
🕊
1
0.082%
😈
1
0.082%
1 further kind
1
0.082%
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 131 of the 164 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 1,223 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 164 most recent posts we hold, published 2 August 2026 to 24 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.
На Смоленском кладбище есть памятник Ксении Петербургской, который открыли совсем недавно — в 2023 году.
Ксения изображена в полный рост. И не случайно: высота скульптуры — 168 см, именно такого роста, по историческим данным, она была при жизни.
В одной руке у нее посох, другая протянута для благословения. Памятник создали скульпторы Вадим Сазонов и Николай Иванов, а деньги на него собрали благодаря пожертвованиям.
…
Основано на реальных событиях
Фильм «Джеки» 2016 года рассказывает о Жаклин Кеннеди и первых днях после убийства ее мужа, президента США Джона Кеннеди.
В центре сюжета — не само покушение, а то, что происходило потом. Подготовка похорон, разговоры с журналистами и попытка пережить личную трагедию, когда на тебя смотрит весь мир.
Фильм основан на реальных событиях, но это не документальная реконструкция. Некоторые ди…
Путь художника
Ольга Делла-Вос-Кардовская — художница Серебряного века, портретистка и график.
Начинала рисовать в частной студии в Чернигове, а в 1894 году переехала в Петербург поступать в Академию художеств.
Там она стала одной из первых женщин-студенток реформированной Академии и почти пять лет училась в мастерской Ильи Репина.
В 1897 году Ольга впервые показала свои работы на выставке, а позже стала известна ка…
Экранизация vs оригинал
«Солярис»
Книга: 1961, Станислав Лем
Фильм: 1972, Андрей Тарковский
У Лема главное — попытка людей понять разумный Океан и вообще возможность контакта с другим разумом.
Тарковский немного смещает фокус. Научные вопросы отходят на второй план, а на первый выходят любовь, совесть, память и внутренние переживания человека.
Даже начало фильма отличается от книги. Тарковский добавил долгую сцену н…
Виктор Михайлович #Васнецов - художник «Русского стиля», реалист и мастер бытового жанра. Его называли одним из талантливейших рисовальщиков народных сцен. Всем известны его произведения со сказочными мотивами. Но какие смыслы в них скрыты?
В картине Виктора Васнецова «Спящая царевна» время будто утратило свое движение. Сказочное царство погрузилось в сон: уснула царевна, затихли ее подданные, замерли звери и птицы.…
Куда сходить в СПБ
Спектакль «Блаженная Ксения. История любви» в Александринском театре
📍 пл. Островского, д. 6
История Ксении Петербургской, которая после смерти мужа отказалась от привычной жизни и выбрала путь самоотречения.
В спектакле переплетаются разные эпохи, люди и судьбы, а сама история Ксении становится разговором о любви, боли, страхе и внутренней силе.
Режиссер Валерий Фокин по-своему переосмысливает …
С вами Рида! Если тоже хотите прокачать кругозор, но не знаете, с чего начать — ловите мой список 👀
#ридавещает
Вот что можно почитать, посмотреть и вообще попробовать, чтобы развивать насмотренность.
Книги: «Что делать?» Чернышевского «Идиот» Достоевского «Я исповедуюсь» Жауме Кабре «Искусство любить» Эриха Фромма «Посторонний» Альбера Камю
Фильмы: «Одинокий мужчина» — ради визуала и атмосферы. «12 разгневанных муж…
❤8
Showing the 12 most recent of 164 posts we hold for @piter_chitaet_official. 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 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.
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.
“#ПитерЧитает” (@piter_chitaet_official), 31,732 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/piter_chitaet_official.
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.