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 20 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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
6 measurements spanning 39 days, net +2. 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 709–712 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 13:59
712
+2
8 Sept 2026, 00:20
710
-1
22 Aug 2026, 12:14
711
+2
15 Aug 2026, 06:52
709
-1
8 Aug 2026, 02:17
710
no change
7 Aug 2026, 13:47
710
first reading
Engagement
18 posts held, back to 18 June 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 18 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 24s
Average length
1m 24s
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
596 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 41.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
246
41.3%
👍
125
21.0%
🙏
114
19.1%
👏
46
7.72%
🔥
26
4.36%
🕊
11
1.85%
😢
10
1.68%
🤔
6
1.01%
😁
4
0.671%
🤗
3
0.503%
🤣
3
0.503%
👀
1
0.168%
🤨
1
0.168%
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 18 of the 18 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 596 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 18 June 2026 to 3 August 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
5
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Ig_Agathangel. 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 18 most recent posts we hold for this entry, published 18 June 2026 to 3 August 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.
Друзья, расскажу об одном маленьком чуде )
У нас около 60-ти коз, козлят и козлов. Одной козе на зимний период нужно примерно 300-400 кг сена. Раньше коз было меньше и сено мы покупали. Сейчас это было бы уже нерентабельно: кормить коз сеном, доить, из молока делать сыр, продавать, а на вырученные деньги — покупать сено, чтобы кормить коз.
Мы начали искать луга в окрестностях под покос — вся необходимая техника у …
По полям, по полям синий трактор уже не едет к нам (((
Вчера, когда заканчивали катать рулоны сена на поле, -- сломался наш МТЗ 82. Поломка достаточно тяжёлая: менять головку цилиндров, поршни.. Всего тысяч на пятьдесят 🤷♂️
Милость Божия состоит в том, что мы все же успели заготовить более восьмисот рулонов сена на зиму. Это 15 тонн.
Финальный расчет материалов:
_________________________
Облицовочный кирпич: 16 500 шт. Полный шов белым цементом (не под разделку).
Полнотелый керамический кирпич на внутреннюю забутовку: 40 500 шт. с армированием сеткой каждые 4 ряда + связка с облицовочным. тут по цене будем договариваться.
Блок СКЦ-150 пустотный, ЖБК: 5 700 шт.
Высота стены 460 см. Также там в углах будет ступенчатая кладка из бетонных перемыче…
По нашей стройке: пока все замерло, увы и растут бурьяны вокруг.. Мы полностью закончили выход на ноль и дальше только вверх, -- кладка стен. Но, сейчас строительный сезон и найти бригаду адекватных каменщиков весьма сложно. Неадекватных в достатке.
Стройматериалов закуплено, все есть.. - людей нет.
С бетоном ещё была дивная история: Хозяин бетонного завода потребовал дополнительную плату, так как вес миксера превышает нормативы, а по дороге к нам стоит весовая платформа и их оштрафуют за перевес. Поэтому миксер с семью кубами бетона поедет лесами, полями, козьими тропами и т. п.
На мои слова, что так даже ближе)) он не реагировал, время шло и мы согласились доплатить.
Миксер приехал, бетон залили, я расплачиваю…
🔥21🙏20❤7👍7
Signed Агафангел
Showing the 12 most recent of 18 posts we hold for @Ig_Agathangel. 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Свято-Троицкий скит в селе Новотроевка” (@Ig_Agathangel), 712 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/Ig_Agathangel.
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.
