Religion — 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 25 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
4 measurements spanning 38 days, net -3. 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 154–157 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 23:41
154
-2
10 Sept 2026, 01:59
156
-1
9 Aug 2026, 17:01
157
no change
9 Aug 2026, 16:16
157
first reading
Engagement
7 posts held, back to 25 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 page of 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 7 posts for this entry, the most recent from 30 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
57s
Average length
29s
Measured directly from 2 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
25 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 60.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
15
60.0%
❤🔥
4
16.0%
👍
2
8.00%
👏
1
4.00%
🔥
1
4.00%
😁
1
4.00%
🤩
1
4.00%
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 7 of the 7 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 25 April 2026 to 30 April 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.
«Явление большого количества новых русских святых ХХ века до конца нами не осознается. И, к сожалению, даже церковным сообществом оно не ценится в полной мере. Вот если вы приходите в храм, то в основном заказывают молебны кому? Святителю Николаю, преподобному Серафиму Саровскому. Слава Богу, что они у нас есть, но мы очень редко видим, чтобы люди молились новомученикам, почитали их. А их подвиг сопоставим с подви…
А как переживал казначей нашего храма и по совместительству организатор субботников Юлия Большакова, что никто сегодня не придет на помощь! Все страхи были напрасны 💪
Сегодня двор Покровского храма напоминал муравейник: много неравнодушных людей откликнулись на клич. Сотни кирпичей были занесены с улицы в помещение. Часть из них предназначена для укрепления стен придела в честь иконы «Утоли моя печали», другая - на …
У нас получилась такая замечательная выставка вышитых икон, приуроченная к празднику Жён-Мироносиц, что мы решили разместить эту красоту в ленту и немного рассказать об авторах этих замечательных работ.
Эти вышитые иконы принадлежат рукодельнице Людмиле Федюниной. Людмила по первому образованию юрист, но она так любит детей, что решила связать свою судьбу с педагогикой. Долгие годы она работала в дошкольных учрежден…
Наша церковь снова раскрывает свои тайны: во время работ по укреплению арки в центральном храме мастера вскрыли полы и увидели, что притвор, оказывается, стоит практически на земле.
Да-да, здесь нет никаких глубин подземелья, как это, к слову, в самом храме. Нет, увы, и глиняных горшочков с золотыми монетками. Но каждый из нас может взять в руки горсть земли XVIIШ столетия(!). Так что приходите, пока есть такая уник…
В день празднования Жён-мироносиц в храме Покрова Пресвятой Богородицы была открыта выставка вышитых икон.
Рукодельницы представили более тридцати работ, каждая из которых отличается мастерством выполнения и красотой.
Настоятель храма, протоиерей Павел Колосов вручил участницам благодарственные письма и подарки.
Выставка действительно получилась необыкновенной и потому надеемся, что многие серпуховичи посетят ее. …
Суббота… в Покровском храме готовимся к празднованию Дня Жён-мироносиц ❤️🥰🤣
❤3🔥1
Showing the 7 most recent of 7 posts we hold for @pokrovserpukhov. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Referenced elsewhere
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.
Церковь Покрова Пресвятой Богородицы (Серпухов)(ru.wikipedia.org) “…настоящий момент ведутся работы по консервации храма{{Cite web|url=https://t.me/pokrovserpukhov|title=Покровский храм в Серпухове|website=Telegram|acces…” read 13 September 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Покровский храм в Серпухове” (@pokrovserpukhov), 154 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/pokrovserpukhov.
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.
