3 measurements spanning 7 days, net +1. 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 228–229 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:08
229
+1
8 Aug 2026, 10:17
228
no change
7 Aug 2026, 12:34
228
first reading
Engagement
9 posts held, back to 17 April 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 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 28 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
59s
Average length
59s
Measured directly from 1 video 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
127 reactions across 9 posts, in 14 distinct kinds. The most used accounts for 29.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💘
37
29.1%
🔥
22
17.3%
😁
14
11.0%
❤🔥
10
7.87%
💔
10
7.87%
🥰
10
7.87%
👏
9
7.09%
💯
4
3.15%
😘
4
3.15%
👍
3
2.36%
custom 5357579953497983889
1
0.787%
😢
1
0.787%
🤔
1
0.787%
🤯
1
0.787%
Custom emoji. One row above is a 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 count beside it isTelegram’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 9 of the 9 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 127reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 17 April 2026 to 28 June 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
2
across the posts below
Posts paid on
1
of 9 we hold a reading for · 11%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fotoseans. 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 9 most recent posts we hold for this entry, published 17 April 2026 to 28 June 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.
Два преподавателя
1П. А когда Вы придете к нам на спектакль?
2П. А на какой?
1П. На «Самоубийцу».
2П. А я его уже видел.
1П. Да?
2П. Самый первый вариант.
1П. И мы с Вами его обсуждали?
2П. И даже обсуждали.
1П. Странно. Скажите, я похожа на городскую сумасшедшую?
____________________
июль ‘ 26
Санкт-Петербург, кафедра актерского мастерства
Июнь ещё не кончился:
— вошёл в список стипендиатов Союза театральных деятелей по программе государственных стипендий для выдающихся деятелей культуры и искусства;
— победитель IV Международного фестиваля «Перекрёсток» (Новосибирск) в номинации «Мастер-кукольник»;
— в свет вышло три статьи в рамках 80-го выпуска «Петербургских искусствоведческих театрадей».
Работаем дальше.
кожев.рф
Закрываю сезон выставок участием в экспозиции «Времена не выбирают». Представлю свою работу, снятую на Свему ДС-4 еще в 2015 году. Примечательно, что снимать на нее было практически уже невозможно, и изображение буквальным образом вытягивалось из «ничего».
Открытие выставки – 21 мая. Союз художников. Вход на вернисаж свободный.
кожев.рф
Лица фестиваля Каменный стол
/ ЧАСТЬ 1 💫
Уже 2 августа мы снова встретимся за Каменным столом, где каждый сможет почувствовать себя частью большой семьи, объединённой любовью к искусству, культуре и общению.
⭐️Пришло время немного рассказать о тех, кто соберется за столом, чтобы поделиться своими мыслями, идеями и чувствами.
Подробнее – в карточках.
Лови билет по волшебной цене — ближе к фестивалю стоимость подрас…
Ремарка №37
Иногда мне кажется, что театр помнит о людях гораздо больше, чем сами люди хотят помнить о себе. Помнит не только удачные роли, премьеры, гастроли и годы творческого подъема.
Театр помнит интонации. Помнит внутреннюю атмосферу. Помнит, с каким ощущением люди входили в репетицию, выходили на сцену, с каким вниманием относились друг к другу, к работе, к самому ощущению общего дела.
Каждые три-четыре года…
Апрель выдался совсем не лёгким и по-настоящему рабочим.
Только за один месяц участие в нескольких выставках: «Народы Кубани», «Родные места», «Притяжение», «Молодость Петербурга», а работа «Натюрморт на окне с печатной машинкой» вошла в фонд Новороссийского музея.
В научной сфере выступления на конференциях в Москве и Санкт-Петербурге с докладами о современном театре кукол для взрослых, а также две новые статьи отп…
Кошке игрушки, а мышке слезки.
* Из свода русских пословиц и поговорок В.И.Даля
❤🔥7🥰2💘1
Showing the 9 most recent of 9 posts we hold for @fotoseans. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 1,137,716 of 1,478,351entries 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.
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
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Кожев, Константин Александрович(ru.wikipedia.org) “…id=7134891|title=Экспонат в Государственном каталоге Музейного фонда РФ}}
* [https://t.me/fotoseans Официальный Telegram-канал «Фотосеанс»]
{{ВС}}
[[Категория:Театральные…” read 9 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Фотосеанс” (@fotoseans), 229 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/fotoseans.
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.